当前位置:文档之家› A Use-Case Based Model for Learning Resources in Ed. Mediators

A Use-Case Based Model for Learning Resources in Ed. Mediators

A Use-Case Based Model for Learning Resources in Ed. Mediators
A Use-Case Based Model for Learning Resources in Ed. Mediators

Quemada, J., & Simon, B. (2003). A Use-Case Based Model for Learning Resources in Educational Mediators. Educational

Technology & Society, 6 (4), 149-163, Available at https://www.doczj.com/doc/127167057.html,/periodical/6_4/14.pdf A Use-Case Based Model for Learning Resources in Educational Mediators

Juan Quemada

Universidad Politecnica de Madrid

ETSI Telecomunicacion, Ciudad Universitaria s/n

28040 Madrid, Spain

Tel: +34 91 3367331

jquemada@dit.upm.es

Bernd Simon

Wirtschaftsuniversit?t Wien

Information Systems Department

Augasse 2-6, 1090 Vienna, Austria

Tel: +43 1 31336 4328

bernd.simon@wu-wien.ac.at

Abstract

In order to exchange learning resources via educational mediators, resources need to be described with

metadata in a coherent manner. Metadata for learning resources has become a widely discussed research

topic, but the concept is still too loosely defined to provide guidelines for its use. With this paper we aim to

contribute to the design of metadata models, which serve as vehicles for defining educational offers in

exchange environments. In the context of educational mediators, the learning object notion is clarified using

a taxonomy, which differentiates between educational activities and educational material. The model is

derived from two exemplifying use cases of educational mediators implemented in the EducaNext portal:

“exchange of educational material” and “mediation of cross-institutional educational activities“. The paper

targets developers and stakeholders of educational mediators as well as educators and technologists dealing

with metadata standards in general.

Keywords

Educational mediators, Learning resource reuse, Modelling, Learning object metadata, Standards,

Interoperability, Brokerage

Introduction

The aim of this paper is to present a use-case based model for educational offers. To exchange learning resources via educational mediators, resources need to be described in a coherent manner in order to make systems interoperable and to facilitate reuse. With this paper we aim to contribute to the design of metadata models, which serve as vehicles for defining educational offers in exchange environments. Based on use cases we introduce a taxonomy for learning resources, which differentiates between the notions of educational activity and educational material. The term "educational activity" is used to refer to an educational event of which the primary objective is to educate or train persons with the help of some human agent (instructor, lecturer, etc.) at a pre-defined timeframe. Courses, seminars, tutoring or training sessions, lectures, etc. are examples of educational activities. The term “educational material” is used to refer to any type of content that supports educational activities.

In order to illustrate the context of our work the paper starts with a brief introduction to educational mediators. From this description two exemplifying use cases, “exchange of educational material” and “mediation of cross-institutional educational activities“, are derived. Before a model describing the artefacts subject to exchange is introduced, related work is delineated and a taxonomy-based definition of educational activities and educational material is provided. Finally, a reference implementation of our model — the EducaNext Portal — is presented. It illustrates how a variety of educational offers supported by the model can be instantiated in an educational mediator.

Educational Mediators — The Dawn of Integrated Educational Systems

Currently several initiatives promote the vision of opening the boundaries of educational systems by standardizing data formats for describing learning resources (e.g. IEEE LOM, IMS, SCORM) or by designing

open, component-based frameworks for learning (e.g. AICC, SCORM, OKI). The overall goal of these approaches is to improve the interchangeability of learning resources. Concurrently, information systems (IS) research on system integration has gained momentum. In the IS field mediators are defined as systems that exploit encoded knowledge about certain sets or subsets of data to create information for higher layer applications (Wiederhold, 1992). From an educators’ point of view, these mediators enable their users to reuse and compile distributed units of knowledge to construct some entities of larger granularity that are pedagogically coherent and relevant. In a similar direction goes the vision of the semantic web, which aims to have distributed data and services defined and linked in such a way that they can be used by machines not just for display purposes, but for automation, integration and reuse of data and services across various applications (Berners-Lee, Hendler, & Lassila, 2001).

Integrated educational systems based on these ideas are herein referred to as educational mediators, other terms used are electronic markets for learning (H?m?l?inen, Whinston, & Vishik, 1996), knowledge pools (Duval et al., 2001), learning media (Guth, Neumann, & Simon, 2001), or e-markets for education (Pawlowski & Adelsberger, 2002). In this paper we offer the following definition of educational mediators: Educational mediators are network-based information systems, which integrate educational artefacts from dispersed sources in order to provide a higher layer application serving a particular need in the educational domain. A higher layer application goes beyond, for example, the simple up- and download of educational material to a repository. Educational mediators can be perceived as enhanced digital libraries (Bieber et al., 2002), which include computer-mediated communications, community process support and/or marketplace functionality. Table 1 provides an overview of the kind of services educational mediators can provide. These use cases of educational mediators typically support educational community tasks such as curricula design, developing and distributing educational material, delivering courses, advising and mentoring, assessing learners and instructors, etc. Educational mediators focus on different kinds of educational artefacts (see Table 1). These artefacts are available via legacy systems. As a consequence, educational mediators are required to provide interfaces to learning management systems, local repositories of educational material, human resources management systems, course catalogue management systems, assessment tools, etc.

According to the above definition, the following examples of educational mediators can be identified Ariadne’s knowledge pool system (https://www.doczj.com/doc/127167057.html,/), Cuber (https://www.doczj.com/doc/127167057.html,/), the Edna Portal (https://www.doczj.com/doc/127167057.html,.au), the Gateway to Educational Material (GEM, https://www.doczj.com/doc/127167057.html,/), or Merlot (https://www.doczj.com/doc/127167057.html,/). Collecting educational material and educational activities is the service these inter-organizational systems provide. Edna, Merlot and GEM integrate educational artefacts published on dispersed web servers via hyperlinks. ARIADNE adopted a more tightly coupled architecture in which metadata and documents are all stored in a replicated knowledge pool (Duval et al., 2001). CUBER (Lamminaho & Magerkurth, 2001) aims at providing students and local administrators with information on courses of various higher education institutions in order to support student exchange and course accreditation.

Table 1. Use Cases, Artefacts and Interfaces of Educational Mediators

Use Cases Exchange of Educational Material, Electronic Marketplace for Courses, Mediation of Cross-institutional Educational Activities, Curriculum Builder

Educational Artefacts Educational Material, Course Curricula, Study Plans, Educational Activities, Personal Development Plans

System Interfaces required to Repositories of Educational Material, Learning Management Systems, Course Catalogue Management Systems, Human Resources Management Systems, Assessment Tools

In this paper two types of services are presented (Simon & Quemada, 2002):

?Exchange of educational material and

?Mediation of cross-institutional educational activities

The exchange of educational material supports instructors preparing their courses. Educational material such as electronic textbooks, lecture notes, exercises, case studies, etc. is already widely available at web-enabled repositories or learning management systems (LMS). Exchange platforms for educational material integrate with repositories and LMS and make their content available via one virtual node. The idea behind such educational mediators is to support the reuse of educational material and the collaborative development of it. Additionally, these systems provide means for managing usage rights.

The mediation of cross-institutional educational activities allows educators to deliver courses and other educational activities to a distributed audience. Cross-institutional educational activities rely on virtual meeting places realized via Computer-Supported Collaborative Work (CSCW) tools so that an educational event can take place simultaneously at dispersed locations. Exchange platforms for cross-institutional educational activities integrate course administration information, which, for example, provides basic data on time and location, registered students and instructors involved. Based on this data, which is usually available in legacy systems or human resources management systems, the delivery of learning is organized. According to a specific schedule, cross-institutional educational activities take place at a virtual meeting room and are usually accompanied by educational material. Mediators for cross-institutional educational activities provide means to link educational material to them.

Literature Review

Metadata for learning resources have become a widely discussed research topic in the field of IT-mediated education (Richards, 2002; Duval et al., 2002; Synytsya, 2003; Duval & Hodgins, 2003). However, the concept is still too loosely defined to provide guidelines for its use (Nilsson, Palmér, & Naeve, 2002).

In general, metadata refers to data about data. In our specific case, metadata is used to describe learning resources. As any data model, metadata for learning resources can serve multiple purposes. Hence, learning resource metadata vary depending on its intended use and the context within which they are developed. Metadata models can be differentiated between models for designing and controlling learning processes, on the one hand, and models for exchanging learning resources, on the other. Metadata models for designing and controlling learning processes describe learning resources, so that they can be manually or (semi-)automatically combined/aggregated in order to support learner-centred knowledge acquisition processes via an electronic learning environment (Paquette & Rosca, 2002; Allert, Dhraief, & Nejdl, 2002; El Saddik, Fischer, & Steinmetz, 2001). Here, metadata is primarily used by (instructional) designers of these electronic learning environments. A model for designing learning processes tends to be fairly complex, because the model needs a vocabulary that is rich enough to describe all kinds of learning objects and their dependencies. Additionally, concepts are needed to describe and control the learning process itself. These must be flexible enough to serve different learning theories and instructional approaches.

The Educational Modelling Language (Hermans et al., 2000) is an example of a metadata model developed for the purpose of designing learning processes. By January 2003 the Educational Modelling Language has evolved to an official IMS specification called Learning Design Information Model (Koper, Olivier, & Anderson, 2003). The Learning Design Information Model aims to provide a common language, which consists of a comprehensive notational system that allows the codification of — what is called — ”units of study”. The model allows specifying environments for the delivery of learning, for example, defined by communication objects, which can either be based on asynchronous communication media (e.g. news groups, e-mail) or on synchronous communication media (e.g. chat room, videoconference).

This paper focuses on the development of a metadata model developed for the purpose of exchanging learning resources. Models describing the artefacts subject to exchange play a crucial role when it comes to the design of educational mediators (Sutton, 1998; Nejdl et al., 2002). Such models provide means for labelling artefacts with descriptors in order to facilitate exchange. The concepts introduced must be easily comprehensible by educators, since they are most likely the ones who are asked to describe learning resources and make reuse decisions (Friesen, Roberts, & Fisher, 2002; Hatala & Richards, 2002).

The Dublin Core Metadata Initiative (DC, 2002) and the IEEE Learning Object Metadata (LOM) Standard (IEEE, 2002) provide pre-defined sets of descriptors for learning resources, which are relevant for both application scenarios of metadata models (For a comprehensive overview on metadata models provided by the various standardization bodies please refer to Anido et al., 2002). Other standardization initiatives such as SCORM and IMS base their recommendations on these standards.

However, the generic models provided by the standardization bodies do not serve the requirement of providing an effective set of comprehensible metadata elements for the purpose of exchanging learning resources (Hatala & Richards, 2002; Garrido, 2003). A particular drawback of LOM is the lack of unambiguous concepts (Farance, 2003). When it comes to the metadata model design of educational mediators, for example, one needs to

consider that educators need to know whether they are confronted with a full educational service such as an educational activity or material that they can reuse for their own lectures.

LOM suggests the learning resource type attribute for the purpose of classifying learning resources (the attentive reader might note that although LOM is based on the notion “learning object”, the educational type classification attribute is called “learning resource” type while no further explanation on the difference between those two notions is provided in the document). For learning resource type a vocabulary of 15 values has been defined, which has the following weaknesses when applying it in the context of educational mediators:

1.While some of the meanings of the attribute values overlap (Friesen, Roberts, & Fisher, 2002), e.g. diagram,

figure, graph, the value space can be perceived as a subjective selection from a large set of potential values.

This impression is reinforced when looking at the variety of learning resource types used by some of the platforms mentioned above (A survey on learning resource type values is available at http://nm.wu-wien.ac.at/e-learning/lr-types.htm).

2.LOM’s value space for learning resource type mixes up media type, educational activity type and

educational material type, but without providing a sufficiently rich set of attribute values for any of those attributes (Simon & Quemada, 2002; Friesen, Roberts, & Fisher, 2002). For example, diagram, graph and figure refer to a media type; exercise, lecture and self assessment to an educational activity type; table, slide, and narrative text to an educational material type. This particular problem is caused by LOM’s broad definition of the term learning object (Wiley, 2001; Ip, Morrison, & Currie, 2001). This paper aims at reducing the ambiguity of the learning object notion in the context of educational mediators. Educational Activities and Educational Material — A Taxonomy-Based Definition of Learning resources

Educational mediators support the exchange of learning resources or, as they are called according to LOM, learning objects. Other terms used for learning resources are (Barritt & Lewis, 2000; Brantner et al., 2001): educational objects, content objects, reusable (learning) objects, learning resources, and training components. LOM defines learning objects as any entity, digital or non-digital, that may be used for learning, education, and training. Wiley challenged the usefulness of this definition that can be interpreted as the universal set of all things (Wiley, 2001).

Based on the different use cases as described in Section II it is argued that it is important to remark the difference between two different types of learning resources: "educational material" and "educational activities".

The term "educational material" is used to denote all units of content that can be stored and transferred in digital or non-digital form. These content units are somehow static in the sense that they are produced to be (re-)used by persons who rely on this type of learning resources in order to deliver education. Arguing along the lines of Wiley (2001) and Suthers (2001), we propose a narrower definition of educational material similar to theirs, which emphasizes the role of educational material in supporting learning. Extending their definitions a step further, we underscore the exclusion of human as a requirement for distributing information. The "educational material" category includes not only books and other reading material, but also courses or lectures recorded on video tapes, learning management systems or multimedia CD-ROMs, because they are used by educators to support their instructional activities.

The term "educational activity" is used to denote events where educators and learners work on the enhancement of knowledge or skills. Hence, an educational activity is a service that is provided in order to support the accomplishment of a specific educational objective. This is achieved by creating a learning environment consisting of educators, educational material, communication infrastructure, meeting places, etc.

For the sake of brevity, we will use in the paper the acronyms EM and EA for "educational material" and for "educational activities", respectively.

The widespread deployment of communication infrastructure, and especially of the Internet, has introduced new ways of accessing educational material and of delivering educational activities. In the past the delivery of learning was primarily based on the realisation of educational activities in specially configured rooms, such as lecture rooms, laboratories, tutoring rooms, libraries, etc. Nowadays, physical libraries are being substituted by virtual libraries, blackboards had first been complemented and were later substituted by video projectors to a large extent, some lectures are being delivered via videoconferencing sessions, etc.

Learning

Educational

Educational

Traditional

Educational

Educational

Educational

Course + Textbook Hybrid

Web Course

Internet

Web Online Tutorial

Textbook + Web Exercises

Object

Activity

Material

Educational

Activity

Internet

Activity

Hybrid

Material

Traditional

Material

Textbook

Simulation Definition

Case Study Definition

Simulation + Simulation Def.

Case Study + Case Study Def.

Course + Web Textbook + Slides

Educational

Activity

Videoconference lecture

Educational

Material

Web Course + Textbook

Textbook + Recorded lecture (Stream. Video)

Web Exercise

Recorded Lectures (Streaming Video)

Textbook + Video Conf. + Web Exercises

Videoconference Case Study

Videoconference Simulation + …

Figure 1. Taxonomy of Learning Resources

The taxonomy (see Figure 1) represents a mixture of learning resource types, a phenomenon observed especially after the advent of the Internet. Today, traditional educational activities are supported, enhanced or substituted by learning resources offered via the Internet. Traditional and Internet EMs and EAs are two extreme cases where all the elements thereof exclusively belong to the traditional and Internet category, respectively. Nevertheless, hybrid EMs and EAs, which constitute a mixture of traditional and Internet elements, become increasingly predominant.

Books, videotapes, lecture notes, etc. are and will be used for a long time together with electronic material accessible on the Internet. In many cases there will even exist paper and electronic versions of the same book or material, which are used indistinctly. A similar tendency can be observed in educational activities, where traditional courses are more and more complemented with the new services offered by the Internet (Simon, Haghirian, & Schlegelmilch, 2002), such as web-based tutoring via learning management systems, videoconferencing-based, multicultural lectures or simply via e-mail.

The ways to reference a traditional EM or EA and an Internet EM or EA are also different. Traditional EMs or EAs are referenced using techniques that are designed to reference physical elements and are substantially different from the referencing techniques used for the Internet. A URI (Universal Resource Identifier) is the standard means of accessing resources in the Internet. The most common form of a URI is the Uniform Resource Locator (URL). Another form of a URI is the Universal Resource Name (URN), which is not in wide use today. Proposals for usage of a URN — to reference book ISBNs, any-cast services, etc. — do already exist. However, there is no wide consensus about it. We will use in this paper the common form of referencing traditional educational materials and activities, for example, a book will be referenced with: title, author, publisher, year and ISBN. Internet resources will be referenced by means of a URI.

Modelling Learning Resources

The model proposed in this paper tries to cover the richness of educational scenarios that the present technology can deliver. It allows a precise description of EAs, which should serve for describing educational offers in a form that is machine and human readable. The definitions are usable for electronic publishing, negotiations, exchange, analysis, etc. The development of this model has been motivated by the need to precisely define mediation of Educational Activities between providers and consumers over an educational mediator, called EducaNext, which is being developed in the UNIVERSAL Project (Brantner et al., 2001).

The model considers the following elements as core components of educational activities:

?Name: an identifier

?Educators: persons who play a provider role in the educational activity, such as coordinators, lectures, tutors, instructors, etc.

?Educational objective: defines the educational goals and scope of the activity.

?Schedule: the time periods in which the educational activity takes place.

?Delivery Platform: the virtual or physical place, where communication between educators and learners takes place. Examples of delivery platforms are:

o A lecture room where lectures are given locally

o Videoconferencing platform connecting several classrooms

o A TV channel for broadcasting lectures

o A chat room for text message exchanges

o An audio conferencing system

o Forum or email discussions

o Web applications for communication between educators and learners, for example for collecting exercises or exams on the Internet

o others

?EM: any piece of information that can be used as a supporting material for an EA.

The definition of the model is made by means of a simple language where the syntactic constructs correspond to the components (or groupings of components) of an EA or an EM. This approach leads to abstract, simple and readable definitions, whose primary purpose is the identification of the components and composition rules of an EA and an EM. The model could have been expressed in the eXtensible Markup Language (XML) or the Resource Description Framework (RDF), but it would have led to lengthier and less readable representations, which are more appropriate for machine processing than for an abstract representation.

The language is defined with a semi-mathematical model of EAs and EMs. The syntax of the language for describing EAs is given in a Backus-Naur Form (BNF) and the semantics is given informally. The BNF notation used is given in the following table.

Table 2. Backus-Naur Form

SCN := ……. defines a new syntactic category of name "SCN"

| composition of alternative definitions

[...] delimits an optional syntactic construct

"..." symbols, literals and reserved words are double quoted

<...> reused external elements, such as URLs, names, etc

A graphical description of the model is shown in Figure 2, which depicts the structure of an EA and an EM. This description provides a graphical representation of the BNF definitions given in the next section. Sequential composition of components is represented graphically as a vertical pile of components linked with a continuous line. For example, an EA (educational activity) is formed by the sequential composition of an ANAME (activity name), an OBJECTIVE, EDUCATORS, an EM (educational material) and a DSEQ (delivery sequence). On the other hand, choice and/or repetition of components is represented with dotted lines. For example, an EMSEQ (EM sequence) is formed by one or more sequential compositions of any of the following choices: an IEM (Internet EM) or a TEM (traditional EM). Or an EM (educational material) is formed by one or more sequential compositions of any of the following choices: a MNAME (EM name) followed by an EMSEQ (EM sequence) or a MSEQ or a MNAME.

A Model for Educational Activities

Educational activities denote educational events with properly defined educational objectives, which identify educator(s) involved and take place at a dedicated (virtual) meeting place according to a specific schedule. Cross-institutional educational activities rely on virtual meeting places realized via videoconferencing systems, chat rooms, etc. so that an educational event can take place simultaneously at dispersed locations. The language for describing an EA is defined by the following syntactical rules:

Table 3. Language for describing educational activities

EA := "EA" ANAME "=" "{" OBJECTIVE EDUCATORS EM DSEQ "}"

DSEQ := DTYPE DNAME "=" "{" DELIVERY "}" [DSEQ] | ANAME ";" [DSEQ]

DELIVERY := EDUCATORS ";" SCHEDULE ";" PLATFORM [ ";" EM ]

DTYPE := "LECTURE" | "SELFSTUDY" | "SIMULATION" | "EXAM" | "…."

ANAME :=

DNAME :=

OBJECTIVE := "EDUCATIONAL_OBJECTIVE" "=" ";"

EDUCATORS := ETYPE "=" "," [EDUCATORS]

ETYPE := "COORDINATOR" | "LECTURER" | "TUTOR" | "INSTRUCTOR" | "…."

SCHEDULE := "SCHEDULE" "="

PLATFORM := "PLATFORM" "="

The definition of educational activities includes optional parts in the syntactic definition, but this does not mean that those elements should not be defined in a well-formed EA definition. The rule to be followed for constructing well-formed EA definitions is that each EA must contain only deliveries which always have a properly defined objective, educator, schedule, and platform, either explicitly or inherited from a definition at a higher level. The only optional element is EM, because it is conceivable to have an EA without EM, but it does not make sense to have a “DELIVERY” which has no “OBJECTIVE”, no “EDUCATOR”, no “SCHEDULE” or no “PLATFORM”.

Two very simple taxonomies for “DTYPE” and “ETYPE” are introduced because of the need to render these taxonomies explicit. The taxonomies are not further defined because the fundamental goal of this paper is the

definition of the basic constituents of an EA, as well as the composition rules to define an EA. Just a couple of types have been given in both taxonomies that will be used in the examples.

In the EA model no clear separation is made between a traditional EA and Internet EA. Not even the optional “URI” of the “PLATFORM” definition is an indicator of an Internet EA, because the URI can be just a pointer to a web page that defines the assignment of classrooms or other traditional delivery platforms.

A Model for Educational Material

An EM is any supporting material that can be used in an educational activity. Examples of EMs are: a presentation, a set of viewgraphs generated out of a presentation, a text book on paper, a text book in PDF, a text book in HTML, a web server, a video tape, a video in a streaming video server, a CD-ROM, etc. The model given below has been designed to be able to reference a large variety of existing educational material that may be used in educational activities. EM is therefore any unit of content that can be accessed or acquired through a reference by an educator or by a learner.

In the past, the information was stored on paper, videotapes, CD-ROMs and other technologies that required a physical action to access them, such as fetching or buying a book or a DVD. The Internet has made virtual library a reality. As digital repositories can store nearly any kind of information, a virtual library connected to the Internet can provide seamless access from any place in the world to any information. The model uses a simple taxonomy that differentiates two categories of EMs, which will be equivalent in many cases, but referenced differently:

?Traditional Educational Material (TEM): requires a physical action to be retrieved. For example: books, notes, CD-ROMs, video tape, etc,. A “traditional EM” is also represented as a “TEM”.

?Internet Educational Material (IEM): can be retrieved in electronic format on the Internet. All the previous TEMs can be transformed into IEMs if they are made available on the Internet in digital format. An “Internet EM” is also represented as an “IEM”.

The first category, TEMs, should be referenced using the standard referencing procedures such as, names, authors, publisher, ISBN, ISSN, etc. The second category, IEMs, should be referenced using standard referencing schemes for the Internet, such as URLs or more generically URIs. MIME typing is a standard mechanism for typing digital information in the Internet and should be used to type IEMs.

The language for describing an EM is defined by the following syntactical rules:

Table 4. Language for describing educational material

EM := EMSEQ | MNAME "=" "{" EMSEQ "}" | MNAME ";"

EMSEQ := IEM EMSEQ | TEM EMSEQ | IEM | TEM

IEM := MNAME "=" ";"

TEM := MNAME "=" ";"

MNAME :=

The definition of an EM accepts as the minimal EM any material that can be referenced by some means, either with an URI or by traditional means. The model allows grouping and naming EMs as needed in a given definition. Additionally, the model allows the reuse of EM definitions by other EMs as well as hierarchical definitions.

Examples of EM and EA Definitions

The following examples show the usage of the model to represent a variety of types of EMs and EAs. The next example depicts an EM definition, named PresentialMathsMaterial, to be used typically in a presential course on Calculus:

PresentialMathsMaterial = {

CourseGuidelines = https://www.doczj.com/doc/127167057.html,/Guidelines.html;

ClassViewgraphs = https://www.doczj.com/doc/127167057.html,/Viewgraphes.pdf;

CourseBook = Calculus, by Michael Spivak, W.A. Benjamin New York, 1970, ISBN 84-291-5141-9;

CourseExercises = https://www.doczj.com/doc/127167057.html,/exercises.html;

}

Example 1: Educational material for a presential course

The “PresentialMathsMaterial” of Example 1 groups and names the various support materials used in a typical presential Maths course. It includes the following elements

?The “CourseGuidelines” is offered over the web in Example 1. But this material can also be presented on paper as it was usually done when the Internet was not available.

?The “ClassViewgraphs” is offered in electronic format (PDF) for download so that the learners can have a printed copy to facilitate the work in the classroom.

?The “CourseBook” is the textbook for the course which can be acquired in bookstores or lent in a university library. Here the traditional book reference is used.

?Finally, the “CourseExercises” is offered over the web for self-evaluation by students.

The second example depicts an EM definition, DistanceLearningMathsMaterial, to be used typically in a distance learning mathematics course

DistanceLearningMathsMaterial = {

CourseGuidelines = https://www.doczj.com/doc/127167057.html,/Guidelines.html;

SelfSudyMaterial = https://www.doczj.com/doc/127167057.html,/Themes.html;

}

Example 2: Educational material for a distance learning course

The “DistanceLearningMathsMaterial” of Example 2 groups the various supporting materials for a similar Maths course which is delivered in a distance learning Maths course. It includes the following elements: The “CourseGuidelines” is offered to the students over the web as in the presential case, but it can be ?

available on paper and sent by normal mail as it was usually done when the Internet was not available.

?The “SelfStudyMaterial” is offered to the students over the web. This material usually includes theory description, complementary exercises, questionnaires and measures of progress achieved by remote students.

The third example depicts an EM definition, TheMathematicsMaterial, which groups the two previous definitions together.

TheMathematicsMaterial = {

PresentialMathsMaterial;

DistanceLearningMathsMaterial;

}

Example 3: Educational material grouping the material of Examples 1 and 2

The purpose of the above three examples is to show how educational materials may be grouped together. The granularity is defined by the references used. The user of the model can choose the granularity he would like to have in his definition. For example, if books are referenced, the granularity will be established at the book level. However, it can be established at the chapter or even exercise or section level by using the proper references.

To illustrate the diversity of activities that can be represented with this model, some examples are given below, which include a variety of component types. The educational activities chosen range from traditional courses in the classroom to courses over videoconferencing or over learning management systems.

Example 4 describes a course held in a classroom. There is an overall coordinator, and each lecture is delivered by a different lecturer. The definition of Example 4 is structured as follows:

?The first three definitions are at the highest level and define therefore the overall course elements: the educational objective, the overall coordinator of the course, and the overall course documentation, including guidelines, a book and exercises. The guidelines and the exercises are IEMs and are accessible over the web.

The book is a TEM.

?Next, the deliveries are defined, comprising all types of lectures in this example course. All the lectures have the delivery dates specified in the schedule and are delivered in a classroom (A138 of ETSIT at UPM). Each delivery has a different set of viewgraphs to be used in the lectures. The deliveries are named according to the topics covered, for example, the first one is “LECTURE IntroductionToTheInternet” and the last one is “LECTURE SecureApplications”.

?The last delivery is the presential examination that the learners must pass so as to obtain the credits or title associated with the course.

EA PresentialCourse = {

EDUCATIONAL_OBJECTIVE = Mandatory for year 3 of TE Level 1 Title;

COORDINATOR = Juan Quemada ;

CourseGuidelines = https://www.doczj.com/doc/127167057.html,/Guidelines.html;

CourseBook = Java Network Programming, Elliot R. Harold, O.Reilly, 2000;

CourseExcercises = https://www.doczj.com/doc/127167057.html,/exercises.html;

LECTURE IntroductionToTheInternet = {

LECTURER = Juan Quemada ;

SCHEDULE = 12h-13h 5/3/02, 7/3/02, 12/3/02;

PLATFORM = presential lecture in room A138 of ETSIT at UPM;

ITTISlides = https://www.doczj.com/doc/127167057.html,/P1Viewgraphes.pdf;

}

LECTURE: ……. = {

………..

}

LECTURE SecureApplications = {

LECTURER = Bernd Simon ;

SCHEDULE = 12h-13h 8/5/02, 9/5/02, 15/5/02, 16/5/02;

PLATFORM = presential lecture in A138 of ETSIT at UPM;

SASlides = https://www.doczj.com/doc/127167057.html,/P1Viewgraphes.pdf;

}

EXAM FinalExam = {

SCHEDULE = 12h-13h 30/5/02;

PLATFORM = presential exam in A138 of ETSIT at UPM;

}

}

Example 4: Educational Activity — Presential Course

The same course can be offered via videoconferencing. Assuming that only the delivery platform changes and that the course has exactly the same EMs, the same coordinator, the same lectures and is scheduled on the same dates. The definition of the new course can be obtained by changing just the platform definition and the revised version is as follows:

EA VideoconferenceCourse = {

EDUCATIONAL_OBJECTIVE = To learn about the network architecture of the Internet;

COORDINATOR = Juan Quemada ;

CourseGuidelines = https://www.doczj.com/doc/127167057.html,/Guidelines.html;

CourseBook = Java Network Programming, Elliot R. Harold, O.Reilly, 2000;

CourseExcercises = https://www.doczj.com/doc/127167057.html,/exercises.html;

LECTURE IntroductionToTheInternet = {

LECTURER = Juan Quemada ;

SCHEDULE = 12h-13h 5/3/02, 7/3/02, 12/3/02;

PLATFORM = H320 Videoconferencing, connect to MCU at +34915771655;

ITTISlides = https://www.doczj.com/doc/127167057.html,/P1Viewgraphes.pdf;

}

LECTURE ……. = {

………..

}

LECTURE SecureApplications = {

LECTURER = Bernd Simon ;

SCHEDULE = 12h-13h 8/5/02, 9/5/02, 15/5/02, 16/5/02;

PLATFORM = H320 Videoconferencing, connect to MCU at +34915771655;

SASlides = https://www.doczj.com/doc/127167057.html,/P1Viewgraphes.pdf;

}

EXAM FinalExam = {

SCHEDULE = 12h-13h 30/5/02;

PLATFORM = presential exam in A138 of ETSIT at UPM;

}

}

Example 5: Educational Activity — Distance Course

The attendees, instead of going to the classroom, will connect a videoconferencing system to the Multipoint Control Unit (MCU) to follow the course from the distance with a computer at home or a workstation in a university computer laboratory. Another variation of this set up can be performed by attending the course in lecture rooms in different universities that are connected via a videoconferencing platform. In this case the platform should specify the MCU and also the lecture rooms connected.

Instantiating the Model at the EducaNext Portal

The EducaNext portal (EducaNext, 2003), addresses the new trends in higher education by providing a web-based tool for the sharing of learning resources. EducaNext is an educational mediator based on the technology of the Universal Brokerage Platform, which implements the metadata model presented above.

On EducaNext, educators are able to provide learning resources to their peers and specify offer conditions on which interested consumers are required to agree before accessing the learning resources. Based on general educational metadata and target-audience specific offer information (e.g. commercial offer, open content-like license agreement, etc.), learning resources are advertised through a catalogue and interest-specific mailing lists. Based on this information, educators can choose and access learning resources from dispersed delivery systems such as video conferencing applications, learning management systems, streaming media servers and standard web servers after agreeing on the terms specified. The process of agreeing on the offer terms is referred to as booking and constitutes an important means for creating awareness about intellectual property rights issues. The complete exchange process is illustrated in the Figure 3.

Figure 3. Exchange Process supported by the EducaNext portal

A necessary prerequisite for the exchange of learning resources is a common language and understanding on both machine-level and human-level. Hence, defining a common syntax and semantics is a crucial activity when it comes to learning resource exchange. The model presented in the previous sections has significantly contributed to this process. Learning resources have to be described with structured metadata in order to enable an effective access to the learning resource repository. Structured metadata provides an information base that can be used for facilitating an open interface between a brokerage platform and content-providing delivery systems

such as the ones mentioned above. Figure 4 shows the Learning Resource Provision area of the EducaNext Portal, where providers can choose between providing an educational material and an educational activity.

On the EducaNext portal, learning resource metadata contain attributes describing the learning resource and providing hints on its usage. The general attributes of our model such as title, description, language, etc. are mapped into those prescribed by Dublin Core (and Dublin Core Qualifiers), which is the most widely spread metadata standard available (Synytsya, 2003). Some education-specific attributes such as typical learning time are taken from the LOM. In addition to standard-based attributes, EducaNext introduces its own, proprietary learning resource attributes such as educational objective and builds upon the taxonomy of learning resource types as presented above.

Figure 4. EducaNext Portal (https://www.doczj.com/doc/127167057.html,/) — Learning Resource Provision Area

The design methodology followed along the principles of contextual design (Beyer & Holtzblatt, 1999). As opposed to more expertise-oriented approaches used for developing metadata models for standards, contextual design suggests that system development should follow a deep understanding of the users’ tasks.

Throughout the development of the portal, EducaNext users have constantly assessed the metadata model presented herein. At the beginning of the project — when no reference implementation was available — the proposed model was assessed by means of electronic forms, potential users were asked to fill in to virtually announce their learning resources. Already this early measure revealed that the LOM model was neither sufficient nor could the attributes be instantaneously understood by the users (The latter is an important requirement for a tool, which cannot rely on extensive user training). As a result of these early findings, the metadata model emerged more and more towards the model presented in this paper. Important milestones in this process were two brokerage trials, where users were able to actually use and provide feedback on the implementation of the metadata model.

In September 2003 the EducaNext portal had about 1,000 registered users and held more than 400 learning resources described according to the model presented above. According to our user trials the model has substantially improved the ease-of-use of the platform, especially compared with a solely LOM-based model. However, with this new expressiveness additional efforts have to be undertaken when connecting delivery systems with the portal (Simon & Brantner, 2003; Simon, Retalis, & Brantner, 2003), since the delivery systems need not only to send LOM-compliant learning resources descriptions, but are for example also required to reuse the taxonomy of this model in the learning resource type field.

Conclusion and Future Work

This paper proposes a new taxonomy for learning resources that differentiates “educational activities” from “educational material” and a model that provides a precise definition of “educational activities”. This model serves as a vehicle for defining educational offers which should be acquired or consumed by third parties with the help of educational mediators. The model can represent a variety of educational offers available since the dawn of the Internet, ranging from traditional courses in the classroom to courses via videoconferencing or via learning management systems.

The term "educational activities" is used to refer to events of which the primary goal is to educate and train persons within a comprehensive learning environment, whereas “educational material” is used to refer to units of content that support educational activities. A clear differentiation between these two categories of learning resources seems necessary for deriving proper exchange models for educational mediators. Besides, we support the argument that educational activities as a special type of learning resource are not sufficiently covered by the IEEE LOM.

The model proposed is still extensible. We consider this an important property of our model, since standards can only provide a global framework, which — especially in fields like education — requires local adaptation. Hence, the proposed model includes the most relevant aspects for differentiating an “educational activity” from “educational material”. However, it does not cover a language for expressing intellectual property rights and usage conditions, which goes beyond the scope of this paper.

To develop this work further, it may be necessary to push such models towards an ontology-based construction of learning-related concepts as it is for example investigated in the ELENA project (Simon et al., 2003). Standardized ontologies may make the open exchange of learning resources possible without requiring closed world instantiations of the presented model. An open ontology for learning resources can have two consequences: On the one hand, standardization processes would become more concept-focused requiring semantically rich definitions of attributes and their associated attribute values (a lack of both in the case of LOM and the model presented herein). An ontology-based design would also require specifying the relationships among the terms introduced at a higher level of detail (e.g. a case study guide accompanies a case study which is used in a marketing course unit). On the other hand, such an approach would make localized, educational concepts easier to integrate in existing standards, especially when they are also ontology-based. One can envision a hierarchy of concepts within which the top-level concepts such as title and description are defined by widely accepted standards such as Dublin Core, and bodies such as the IEEE LTSC provide mid-level, educational domain-specific concepts. Local-level concepts described by local stakeholders of educational mediators can then provide use-case and context specific concepts. By doing so, a new level of flexibility would be gained, which would make it easier to adapt metadata models for educational mediators. Acknowledgements

This work was supported by the projects UNIVERSAL (https://www.doczj.com/doc/127167057.html,/, IST-1999-11747) and ELENA (https://www.doczj.com/doc/127167057.html,/, IST-2001-37264) and is partly sponsored by the European Commission. The authors would like to express their gratitude to the following consortium members who actively participated in the model discussion: Arno Wagner, Gustaf Neumann, Katherine Maillet, Tapio Koskinen, Thomas Enzi, Sigrun Gunnarsdottir, Spiros Amourgis, Vana Kamtsiou. Stefan Brantner is the chief developer of the Universal Brokerage Platform. We especially want to thank Effie Law and the anonymous reviewers for their valuable comments on earlier versions of this paper.

References

Allert, H., Dhraief, H., & Nejdl, W. (2002). How are learning objects used in learning processes. Instructional roles of learning objects in LOM. In Proceedings of ED-MEDIA 2002. Denver, USA.

Anido, L. E., Fernández, M. J., Caeiro, M., Santos, J. M., Rodríguez, J. S., & Llamas, M. (2002). Educational metadata and brokerage for learning resources. Computers & Education, 38(2002), 351-374.

Barritt, C., & Lewis, D. (2000). Reusable learning object strategy - definition, creation process, and guidelines building. Retrieved November 12, 2001, from

https://www.doczj.com/doc/127167057.html,/warp/public/10/wwtraining/elearning/implement/rlo_strategy_v3-1.pdf

Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific American, 284(5), 34-43. Beyer, H., & Holtzblatt, K. (1999). Contextual design. ACM Interactions, 6(1), 30-42.

Bieber, M., Engelbart, D., Furuta, R., Hiltz, S. R., John, N., Preece, J., et al. (2002). Toward virtual community knowledge evolution. Journal of Management Information Systems, 18(4), 11-35.

Brantner, S., Enzi, T., Guth, S., Neumann, G., & Simon, B. (2001). UNIVERSAL - Design and implementation of a highly flexible e-market place of learning resources. In R. Hartley, Kinshuk, T. Okamoto & J. P. Klus (Eds.), Proceedings of the IEEE International Conference on Advanced Learning Technologies (pp. 215-218). Madison, USA: IEEE Computer Society.

DC. (2002). Dublin core metadata initiative. Retrieved October 4, 2003, from https://www.doczj.com/doc/127167057.html,/

Duval, E., Forte, E., Cardinaels, K., Verhoeven, B., Van Durm, R., Hendrix, K., et al. (2001). The Ariadne knowledge pool system. Communications of the ACM, 44(5), 73-78.

Duval, E., Hodgins, W., Sutton, S. A., & Weibel, S. L. (2002). Metadata principles and practicalities. D-Lib Magazine, 8(4), retrieved October 4, 2003, from https://www.doczj.com/doc/127167057.html,/dlib/april02/weibel/04weibel.html

Duval, E., & Hodgins, W. (2003). A LOM research agenda. In Proceedings of the 12th World Wide Web Conference. Budapest.

EducaNext. (2003). EducaNext: A service for knowledge sharing. Retrieved October 4, 2003, from https://www.doczj.com/doc/127167057.html,/whitepaper.pdf

El Saddik, A., Fischer, S., & Steinmetz, R. (2001). Reusable multimedia content in web-based learning systems. IEEE Multimedia, 8(3), 30-38.

Farance, F. (2003). IEEE LOM standard not yet ready for "prime time". Learning Technology Newsletter, 5(1). Friesen, N., Roberts, A., & Fisher, S. (2002). CanCore: metadata for learning objects. Canadian Journal of Learning and Technology, 28(3), 43-53.

Garrido, J. S. (2003). Two scenarios using metadata. Learning Technology Newsletter, 5(1).

Guth, S., Neumann, G., & Simon, B. (2001). UNIVERSAL - Design spaces for learning media. In R. H. Sprague (Ed.), Proceedings of the 34th Hawaii International Conference on System Sciences. Maui, USA: IEEE.

H?m?l?inen, M., Whinston, A. B., & Vishik, S. (1996). Electronic markets for learning: education brokerage on the internet. Communications of the ACM, 39(6), 51-58.

Hatala, M., & Richards, G. (2002). Global vs. community metadata standards: Empowering users for knowledge exchange. In Proceedings of the 1st International Semantic Web Conference (pp. 292-306). Sardinia: Springer, LNCS 2342.

Hermans, H. J. H., Koper, E. J. R., Loeffen, A., Manderveld, J. M., & Rusman, E. M. (2000). Reference manual for Edubox-EML/XML binding 1.0/1.0 (Beta version). Heerlen: Open University of the Netherlands.

IEEE. (2002). Draft 6.4 of the Learning Object Metadata (LOM). Piscataway, USA: IEEE, retrieved March 15, 2002, from https://www.doczj.com/doc/127167057.html,/wg12/index.html

Ip, A., Morrison, I., & Currie, M. (2001). What is a learning object, technically? In Proceedings of WebNet 2001. Orlando, USA.

Koper, R., Olivier, B., & Anderson, T. (2003). IMS learning design information model. Retrieved October 4, 2003, from https://www.doczj.com/doc/127167057.html,/learningdesign/index.cfm

Lamminaho, V., & Magerkurth, S. (2001). Unifying descriptions of higher education courses across Europe - Metadata specification in the CUBER Project. In Proceedings of the 20th Conference on Open Learning and Distance Education. Düsseldorf, Germany.

Nejdl, W., Wolf, B., Qu, C., Decker, S., Sintek, M., Ambj?rn, N., Nilsson, M., Palmer, M., Risch, T. (2002). Edutella: A P2P networking infrastructure based on RDF. In Proceedings of the 11th International World Wide Web Conference. Hawaii, USA.

Nilsson, M., Palmér, M., & Naeve, A. (2002). Semantic web metadata for e-learning - Some architectural guidelines. In Proceedings of the 11th International World Wide Web Conference. Hawaii, USA.

Paquette, G., & Rosca, I. (2002). Organic aggregation of knowledge objects in educational systems. Canadian Journal of Learning and Technology, 28(3), 11-26.

Pawlowski, J. M., & Adelsberger, H. (2002). Electronic business and education. In H. Adelsberger, B. Collis & J. M. Pawlowski (Eds.), Handbook on Information Technologies for Education and Training (pp. 653-670). Berlin: Springer.

Richards, G. (2002). Editorial: The challenges of the learning object paradigm. Canadian Journal of Learning and Technology, 28(3), 3-9.

Simon, B., & Brantner, S. (2003). System interface framework for building educational brokerage networks. Vienna, Graz. Retrieved October 4, 2003, from http://nm.wu-wien.ac.at/e-learning/interoperability/

Simon, B., Haghirian, P., & Schlegelmilch, B. B. (2002). Case study teaching via collaborative information technology. In S. Wrycza (Ed.), Proceedings of the 10th European Conference on Information Systems. Gdanks, Poland.

Simon, B., Miklós, Z., Sintek, M., & Salvachua, J. (2003). Smart space for learning: A mediation infrastructure for learning services. In Proceedings of the 12th World Wide Web Conference. Budapest.

Simon, B., & Quemada, J. (2002). A critical reflection of metadata standards based on usage scenarios. In G. Bachmann, O. Haefeli & M. Kindt (Eds.), Campus 2002: Die virtuelle Hochschule in der Konsolidierungsphase. Münster: Waxmann.

Simon, B., Retalis, S., & Brantner, S. (2003). Building interoperability among learning content management systems. In Proceedings of the 12th World Wide Web Conference. Budapest.

Suthers, D. D. (2001). Evaluating the learning object metadata for K-12 educational resources. In T. Okamoto, R. Hartley, Kinshuk & J. P. Klus (Eds.), Advanced Learning Technologies - Issues, Achievements, and Challenges (pp. 371-374). Madison: IEEE Computer Society.

Sutton, S. A. (1998). Gateway to Educational Materials (GEM): Metadata for networked information discovery and retrieval. Computer Networks and ISDN Systems, 30, 691-693.

Synytsya, K. (2003). Learning object metadata: Implementations and open issues - Introduction to the special issue. Learning Technology Newsletter, 5(1).

Wiederhold, G. (1992). Mediators in the architecture of future information systems. IEEE Computer, 25(2), 38-49.

Wiley, D. A. (2001). Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In D. A. Wiley (Ed.), The Instructional Use of Learning Objects. Retrieved November 11, 2001, from https://www.doczj.com/doc/127167057.html,/read/

美国常青藤名校的由来

美国常青藤名校的由来 以哈佛、耶鲁为代表的“常青藤联盟”是美国大学中的佼佼者,在美国的3000多所大学中,“常青藤联盟”尽管只是其中的极少数,仍是许多美国学生梦想进入的高等学府。 常青藤盟校(lvy League)是由美国的8所大学和一所学院组成的一个大学联合会。它们是:马萨诸塞州的哈佛大学,康涅狄克州的耶鲁大学,纽约州的哥伦比亚大学,新泽西州的普林斯顿大学,罗德岛的布朗大学,纽约州的康奈尔大学,新罕布什尔州的达特茅斯学院和宾夕法尼亚州的宾夕法尼亚大学。这8所大学都是美国首屈一指的大学,历史悠久,治学严谨,许多著名的科学家、政界要人、商贾巨子都毕业于此。在美国,常青藤学院被作为顶尖名校的代名词。 常青藤盟校的说法来源于上世纪的50年代。上述学校早在19世纪末期就有社会及运动方面的竞赛,盟校的构想酝酿于1956年,各校订立运动竞赛规则时进而订立了常青藤盟校的规章,选出盟校校长、体育主任和一些行政主管,定期聚会讨论各校间共同的有关入学、财务、援助及行政方面的问题。早期的常青藤学院只有哈佛、耶鲁、哥伦比亚和普林斯顿4所大学。4的罗马数字为“IV”,加上一个词尾Y,就成了“IVY”,英文的意思就是常青藤,所以又称为常青藤盟校,后来这4所大学的联合会又扩展到8所,成为现在享有盛誉的常青藤盟校。 这些名校都有严格的入学标准,能够入校就读的学生,自然是品学兼优的好学生。学校很早就去各个高中挑选合适的人选,许多得到全国优秀学生奖并有各种特长的学生都是他们网罗的对象。不过学习成绩并不是学校录取的惟一因素,学生是否具有独立精神并且能否快速适应紧张而有压力的大一新生生活也是他们考虑的重要因素。学生的能力和特长是衡量学生综合素质的重要一关,高中老师的推荐信和评语对于学生的入学也起到重要的作用。学校财力雄厚,招生办公室可以完全根据考生本人的情况录取,而不必顾虑这个学生家庭支付学费的能力,许多家境贫困的优秀子弟因而受益。有钱人家的子女,即使家财万贯,也不能因此被录取。这也许就是常青藤学院历经数百年而保持“常青”的原因。 布朗大学(Brown University) 1754年由浸信会教友所创,现在是私立非教会大学,是全美第七个最古老大学。现有学生7000多人,其中研究生近1500人。 该校治学严谨、学风纯正,各科系的教学和科研素质都极好。学校有很多科研单位,如生物医学中心,计算机中心、地理科学中心、化学研究中心、材料研究实验室、Woods Hole 海洋地理研究所海洋生物实验室、Rhode 1s1and反应堆中心等等。设立研究生课程较多的系有应用数学系、生物和医学系、工程系等,其中数学系海外研究生占研究生名额一半以上。 布朗大学的古书及1800年之前的美国文物收藏十分有名。 哥伦比亚大学(Columbia University) 私立综合性大学,位于纽约市。该校前身是创于1754年的King’s College,独立战争期间一度关闭,1784年改名力哥伦比亚学院,1912年改用现名。

新整理描写常青藤优美句段 写常青藤作文散文句子

描写常青藤优美句段写常青藤作文散文句子 描写常青藤优美句段写常青藤作文散文句子第1段: 1.睁开朦胧的泪眼,我猛然发觉那株濒临枯萎的常春藤已然绿意青葱,虽然仍旧瘦小,却顽强挣扎,嫩绿的枝条攀附着窗格向着阳光奋力伸展。 2.常春藤是一种常见的植物,我家也种了两盆。可能它对于很多人来说都不足为奇,但是却给我留下了美好的印象。常春藤属于五加科常绿藤本灌木,翠绿的叶子就像火红的枫叶一样,是可爱的小金鱼的尾巴。常春藤的叶子的长约5厘米,小的则约有2厘米,但都是小巧玲珑的,十分可爱。叶子外圈是白色的,中间是翠绿的,好像有人在叶子上涂了一层白色的颜料。从叶子反面看,可以清清楚楚地看见那凸出来的,一根根淡绿色的茎。 3.渴望到森林里探险,清晨,薄薄的轻雾笼罩在树林里,抬头一看,依然是参天古木,绕着树干一直落到地上的常春藤,高高低低的灌木丛在小径旁张牙舞爪。 4.我们就像马蹄莲,永不分开,如青春的常春藤,紧紧缠绕。 5.我喜欢那里的情调,常春藤爬满了整个屋顶,门把手是旧的,但带着旧上海的味道,槐树花和梧桐树那样美到凋谢,这是我的上海,这是爱情的上海。 6.当我离别的时候,却没有你的身影;想轻轻地说声再见,已是人去楼空。顿时,失落和惆怅涌上心头,泪水也不觉悄悄滑落我伫立很久很久,凝望每一条小路,细数每一串脚印,寻找你

的微笑,倾听你的歌声――一阵风吹过,身旁的小树发出窸窸窣窣的声音,像在倾诉,似在安慰。小树长高了,还有它旁边的那棵常春藤,叶子依然翠绿翠绿,一如昨天。我心头不觉一动,哦,这棵常春藤陪伴我几个春秋,今天才惊讶于它的可爱,它的难舍,好似那便是我的生命。我蹲下身去。轻轻地挖起它的一个小芽,带着它回到了故乡,种在了我的窗前。 7.常春藤属于五加科常绿藤本灌木,翠绿的叶子就像火红的枫叶一样,是可爱的小金鱼的尾巴。常春藤的叶子的长约5厘米,小的则约有2厘米,但都是小巧玲珑的,十分可爱。叶子外圈是白色的,中间是翠绿的,好像有人在叶子上涂了一层白色的颜料。从叶子反面看,可以清清楚楚地看见那凸出来的,一根根淡绿色的茎。 8.常春藤是多么朴素,多么不引人注目,但是它的品质是多么的高尚,不畏寒冷。春天,它萌发出嫩绿的新叶;夏天,它郁郁葱葱;秋天,它在瑟瑟的秋风中跳起了欢快的舞蹈;冬天,它毫不畏惧呼呼作响的北风,和雪松做伴常春藤,我心中的绿色精灵。 9.可是对我而言,回头看到的只是雾茫茫的一片,就宛如窗前那株瘦弱的即将枯死的常春藤,毫无生机,早已失去希望。之所以叫常春藤,可能是因为它一年四季都像春天一样碧绿,充满了活力吧。也许,正是因为如此,我才喜欢上了这常春藤。而且,常春藤还有许多作用呢!知道吗?一盆常春藤能消灭8至10平

关于美国常青藤

一、常青藤大学 目录 联盟概述 联盟成员 名称来历 常春藤联盟(The Ivy League)是指美国东北部八所院校组成的体育赛事联盟。这八所院校包括:布朗大学、哥伦比亚大学、康奈尔大学、达特茅斯学院、哈佛大学、宾夕法尼亚大学、普林斯顿大学及耶鲁大学。美国著名的体育联盟还有太平洋十二校联盟(Pacific 12 Conference)和大十联盟(Big Ten Conference)。常春藤联盟的体育水平在美国大学联合会中居中等偏下水平,远不如太平洋十校联盟和大十联盟。 联盟概述 常春藤盟校(Ivy League)指的是由美国东北部地区的八所大学组成的体育赛事联盟(参见NCAA词条)。它们全部是美国一流名校、也是美国产生最多罗德奖学金得主的大学联盟。此外,建校时间长,八所学校中的七所是在英国殖民时期建立的。 美国八所常春藤盟校都是私立大学,和公立大学一样,它们同时接受联邦政府资助和私人捐赠,用于学术研究。由于美国公立大学享有联邦政府的巨额拨款,私立大学的财政支出和研究经费要低于公立大学。 常青藤盟校的说法来源于上世纪的50年代。上述学校早在19世纪末期就有社会及运动方面的竞赛,盟校的构想酝酿于1956年,各校订立运动竞赛规则时进而订立了常青藤盟校的规章,选出盟校校长、体育主任和一些行政主管,定期聚会讨论各校间共同的有关入学、财务、援助及行政方面的问题。早期的常青藤学院只有哈佛、耶鲁、哥伦比亚和普林斯顿4所大学。4的罗马数字为"IV",加上一个词尾Y,就成了"IVY",英文的意思就是常青藤,所以又称为常青藤盟校,后来这4所大学的联合会又扩展到8所,成为如今享有盛誉的常青藤盟校。 这些名校都有严格的入学标准,能够入校就读的学生,必须是品学兼优的好学生。学校很早就去各个高中挑选合适的人选,许多得到全国优秀学生奖并有各种特长的学生都是他们网罗的对象。不过学习成绩并不是学校录取的惟一因素,学生是否具有独立精神并且能否快速适应紧张而有压力的大一新生生活也是他们考虑的重要因素。学生的能力和特长是衡量学生综合素质的重要一关,高中老师的推荐信和评语对于学生的入学也起到重要的作用。学校财力雄厚,招生办公室可以完全根据考生本人的情况录取,而不必顾虑这个学生家庭支付学费的能力,许多家境贫困的优秀子弟因而受益。有钱人家的子女,即使家财万贯,也不能因

什么是美国常青藤大学

https://www.doczj.com/doc/127167057.html, 有意向申请美国大学的学生,大部分听过一个名字,常青藤大学联盟。那么美国常青藤大学盟校到底是怎么一回事,又是由哪些大大学组成的呢?下面为大家介绍一下美国常青藤大学联盟。 立思辰留学360介绍,常青藤盟校(lvy League)是由美国的七所大学和一所学院组成的一个大学联合会。它们是:马萨诸塞州的哈佛大学,康涅狄克州的耶鲁大学,纽约州的哥伦比亚大学,新泽西州的普林斯顿大学,罗德岛的布朗大学,纽约州的康奈尔大学,新罕布什尔州的达特茅斯学院和宾夕法尼亚州的宾夕法尼亚大学。这8所大学都是美国首屈一指的大学,历史悠久,治学严谨,许多著名的科学家、政界要人、商贾巨子都毕业于此。在美国,常青藤学院被作为顶尖名校的代名词。 常青藤由来 立思辰留学介绍,常青藤盟校的说法来源于上世纪的50年代。上述学校早在19世纪末期就有社会及运动方面的竞赛,盟校的构想酝酿于1956年,各校订立运动竞赛规则时进而订立了常青藤盟校的规章,选出盟校校长、体育主任和一些行政主管,定期聚会讨论各校间共同的有关入学、财务、援助及行政方面的问题。早期的常青藤学院只有哈佛、耶鲁、哥伦比亚和普林斯顿4所大学。4的罗马数字为“IV”,加上一个词尾Y,就成了“IVY”,英文的意思就是常青藤,所以又称为常青藤盟校,后来这4所大学的联合会又扩展到8所,成为现在享有盛誉的常青藤盟校。 这些名校都有严格的入学标准,能够入校就读的学生,自然是品学兼优的好学生。学校很早就去各个高中挑选合适的人选,许多得到全国优秀学生奖并有各种特长的学生都是他们网罗的对象。不过学习成绩并不是学校录取的惟一因素,学生是否具有独立精神并且能否快速适应紧张而有压力的大一新生生活也是他们考虑的重要因素。学生的能力和特长是衡量学生综合素质的重要一关,高中老师的推荐信和评语对于学生的入学也起到重要的作用。学校财力雄厚,招生办公室可以完全根据考生本人的情况录取,而不必顾虑这个学生家庭支付学费的能力,许多家境贫困的优秀子弟因而受益。有钱人家的子女,即使家财万贯,也不能因此被录取。这也许就是常青藤学院历经数百年而保持“常青”的原因。

2019年美国常春藤八所名校排名

2019年美国常春藤八所名校排名享有盛名的常春藤盟校现在是什么情况呢?接下来就来为您介绍一下!以下常春藤盟校排名是根据2019年美国最佳大学进行的。接下来我们就来看看各个学校的状态以及真实生活。 完整的常春藤盟校名单包括耶鲁大学、哈佛大学、宾夕法尼亚大学、布朗大学、普林斯顿大学、哥伦比亚大学、达特茅斯学院和康奈尔大学。 同时我们也看看常春藤盟校是怎么样的?也许不是你所想的那样。 2019年Niche排名 3 录取率5% 美国高考分数范围1430-1600 财政援助:“学校选择美国最优秀的学生,想要他们来学校读书。如果你被录取,哈佛会确保你能读得起。如果你选择不去入学的话,那一定不是因为经济方面的原因。”---哈佛大三学生2019年Niche排名 4 录取率6% 美国高考分数范围1420-1600 学生宿舍:“不可思议!忘记那些其他学校的学生宿舍吧。在耶鲁,你可以住在一个豪华套房,它更像是一个公寓。一个公寓有许多人一起住,包括一个公共休息室、洗手间和多个卧室。我再不能要求任何更好的条件了。这个套房很大,很干净,还时常翻修。因为学校的宿舍深受大家喜爱,现在有90%的学生都住在学校!”---耶鲁大二学生

2019年Niche排名 5 录取率7% 美国高考分数范围1400-1590 综合体验:“跟任何其他学校一样,普林斯顿大学有利有弊。这个学校最大的好处也是我选择这个学校的主要原因之一就是它的财政援助体系,任何学生想要完成的计划,它都会提供相应的财政支持。”---普林斯顿大二学生 2019年Niche排名 6 录取率9% 美国高考分数范围1380-1570 自我关心:“如果你喜欢城市的话,宾夕法尼亚大学是个不错的选择。这里对于独立的人来说也是一个好地方,因为在这里你必须学会自己发展。要确保进行一些心理健康的训练,因为这里的人通常会过量工作。如果你努力工作并且玩得很嗨,二者都会使你精疲力尽,所以给自己留出点儿时间休息。”---宾夕法尼亚大一学生 2019年Niche排名7 录取率7% 美国高考分数范围1410-1590 综合体验:“学校的每个人都很关心学生,包括我们的身体状况和学业成绩。在这里,你可以遇到来自世界各地的多种多样的学生。他们在学校进行的安全防范教育让我感觉受到保护。宿舍生活非常精彩,你会感觉跟室友们就像家人一样。总之,能成为学校的一员我觉得很棒,也倍感荣幸!”---哥伦比亚大二学生2019年Niche排名9 录取率9% 美国高考分数范围1370-1570 学术点评:“新的课程培养学术探索能力,在过去的两年中我

美国常青藤大学研究生申请条件都有哪些

我国很多学子都想前往美国的常青藤大学就读于研究生,所以美国常青藤大学研究生申请条件都有哪些? 美国常青藤大学研究生申请条件: 1、高中或本科平均成绩(GPA)高于3.8分,通常最高分是4分,平均分越高越好; 2、学术能力评估测试I(SAT I,阅读+数学)高于1400分,学术能力评估测试II(SAT II,阅读+数学+写作)高于2000分; 3、托福考试成绩100分以上,雅思考试成绩不低于7分; 4、美内国研究生入学考试(GRE)成绩1400分以上,经企管理研究生入学考试(GMAT)成绩700分以上。 大学先修课程(AP)考试成绩并非申请美国大学所必需,但由于大学先修课程考试对于高中生来说有一定的挑战性及难度,美国大学也比较欢迎申请者提交大学先修课程考试的成绩,作为入学参考标准。

有艺术、体育、数学、社区服务等特长者优先考容虑。获得国际竞赛、辩论和科学奖等奖项者优先考虑,有过巴拿马国际发明大赛的得主被破例录取的例子。中国中学生在奥林匹克数、理、化、生物比赛中获奖也有很大帮助。 常春藤八所院校包括:哈佛大学、宾夕法尼亚大学、耶鲁大学、普林斯顿大学、哥伦比亚大学、达特茅斯学院、布朗大学及康奈尔大学。 新常春藤包括:加州大学洛杉矶分校、北卡罗来纳大学、埃默里大学、圣母大学、华盛顿大学圣路易斯分校、波士顿学院、塔夫茨大学、伦斯勒理工学院、卡内基梅隆大学、范德比尔特大学、弗吉尼亚大学、密歇根大学、肯阳学院、罗彻斯特大学、莱斯大学。 纽约大学、戴维森学院、科尔盖特大学、科尔比学院、瑞德大学、鲍登学院、富兰克林欧林工程学院、斯基德莫尔学院、玛卡莱斯特学院、克莱蒙特·麦肯纳学院联盟。 小常春藤包括:威廉姆斯学院、艾姆赫斯特学院、卫斯理大学、斯沃斯莫尔学院、明德学院、鲍登学院、科尔比学院、贝茨学院、汉密尔顿学院、哈弗福德学院等。

留学美国常春藤八大院校

留学美国常春藤八大院校 美国常春藤声誉: 几乎所有的常春藤盟校都以苛刻的入学标准著称,近年来尤其如此:在过去的10多年里常春藤盟校的录取率正在下降。很多学校还在 特别的领域内拥有极大的学术声誉,例如: 哥伦比亚大学的法学院、商学院、医学院和新闻学院; 康乃尔大学的酒店管理学院和工程学院; 达特茅斯学院的塔克商学院(TuckSchoolofBusiness); 哈佛大学的商学院、法学院、医学院、教育学院和肯尼迪政府学院; 宾夕法尼亚大学的沃顿商学院、医学院、护理学院、法学院和教 育学院; 普林斯顿大学的伍德鲁·威尔逊公共与国际事务学院; 耶鲁大学的法学院、艺术学院、音乐学院和医学院; 美国常春藤八大名校【哈佛大学】 哈佛大学(HarvardUniversity)是一所位于美国马萨诸塞州波 士顿剑桥城的私立大学,常春藤盟校成员之一,1636年由马萨诸塞州 殖民地立法机关立案成立。 该机构在1639年3月13日以一名毕业于英格兰剑桥大学的牧师 约翰·哈佛之名,命名为哈佛学院,1780年哈佛学院更名为哈佛大学。直到19世纪,创建了一个半世纪的哈佛学院仍然以英国的牛津大学、 剑桥大学两所大学为模式,以培养牧师、律师和官员为目标,注重人 文学科,学生不能自由选择课程。19世纪初,高等教育课程改革的号

角在哈佛吹响了,崇尚“学术自由”和“讲学自由”。“固定的学年”和“固定的课”的老框框受到冲击,自由选修课程的制度逐渐兴起。 哈佛大学是一所在世界上享有顶尖大学声誉、财富和影响力的学校, 被誉为美国政府的思想库,其商学院案例教学也盛名远播。作为全美 的大学之一,在世界各研究机构的排行榜中,也经常名列世界大学第 一位。 美国常春藤八大名校【耶鲁大学】 耶鲁大学(YaleUniversity)是一所坐落于美国康涅狄格州纽黑 文(纽黑文市CityofNewHaven)的私立大学,创于1701年,初名“大学学院”(CollegiateSchool)。 耶鲁起初是一所教会学校,1718年,英国东印度公司高层官员伊莱休·耶鲁先生向这所教会学校捐赠了9捆总价值562英镑12先令的 货物、417本书以及英王乔治一世的肖像和纹章,在当时对襁褓之中的耶鲁简直是雪中送炭。为了感谢耶鲁先生的捐赠,学校正式更名为 “耶鲁学院”,它就是今日耶鲁大学的前身。18世纪30年代至80年代,耶鲁在伯克利主教、斯泰尔斯牧师、波特校长等的不懈努力下, 逐渐由学院发展为大学。至20世纪初,随着美国教育的迅猛发展,耶 鲁大学已经发展到了惊人的规模,在世界的影响力也达到了新的高度。耶鲁大学是美国历建立的第三所大学(第一所是哈佛大学,第二所是 威廉玛丽学院),该校教授阵容、学术创新、课程设置和场馆设施等 方面堪称一流,与哈佛大学、普林斯顿大学齐名,历年来共同角逐美 国大学和研究生院前三的位置。哈佛大学注重闻名于研究生教育,威 廉玛丽学院闻名于本科生教育,耶鲁则是双脚走路,都非常,在世界 大学排名中名列前茅。 美国常春藤八大名校【宾夕法尼亚】 宾夕法尼亚大学(UniversityofPennsylvania)是一所私立大学, 是在美国开国元勋本杰明·富兰克林的倡导下于1740年建立起来的。 它是美国东北部常春藤大学之一,坐落于合众国的摇篮——费城,独

美国常青藤名校的由来

美国常青藤名校的由来

美国常青藤名校的由来 以哈佛、耶鲁为代表的“常青藤联盟”是美国大学中的佼佼者,在美国的3000多所大学中,“常青藤联盟”尽管只是其中的极少数,仍是许多美国学生梦想进入的高等学府。 常青藤盟校(lvy League)是由美国的8 所大学和一所学院组成的一个大学联合会。它们是:马萨诸塞州的哈佛大学,康涅狄克州的耶鲁大学,纽约州的哥伦比亚大学,新泽西州的普林斯顿大学,罗德岛的布朗大学,纽约州的康奈尔大学,新罕布什尔州的达特茅斯学院和宾夕法尼亚州的宾夕法尼亚大学。这8所大学都是美国首屈一指的大学,历史悠久,治学严谨,许多著名的科学家、政界要人、商贾巨子都毕业于此。在美国,常青藤学院被作为顶尖名校的代名词。 常青藤盟校的说法来源于上世纪的50年代。上述学校早在19世纪末期就有社会及运动方面的竞赛,盟校的构想酝酿于1956年,各校订立运动竞赛规则时进而订立了常青藤盟校 的规章,选出盟校校长、体育主任和一些行政主管,定期聚会讨论各校间共同的有关入学、财务、援助及行政方面的问题。早期的常青藤学院只有

哈佛、耶鲁、哥伦比亚和普林斯顿4所大学。4的罗马数字为“IV”,加上一个词尾Y,就成了“IVY”,英文的意思就是常青藤,所以又称为常青藤盟校,后来这4所大学的联合会又扩展到8所,成为现在享有盛誉的常青藤盟校。 这些名校都有严格的入学标准,能够入校就读的学生,自然是品学兼优的好学生。学校很早就去各个高中挑选合适的人选,许多得到全国优秀学生奖并有各种特长的学生都是他们网罗的对象。不过学习成绩并不是学校录取的惟一因素,学生是否具有独立精神并且能否快速适应紧张而有压力的大一新生生活也是他们考虑的重要因素。学生的能力和特长是衡量学生综合素质的重要一关,高中老师的推荐信和评语对于学生的入学也起到重要的作用。学校财力雄厚,招生办公室可以完全根据考生本人的情况录取,而不必顾虑这个学生家庭支付学费的能力,许多家境贫困的优秀子弟因而受益。有钱人家的子女,即使家财万贯,也不能因此被录取。这也许就是常青藤学院历经数百年而保持“常青”的原因。 布朗大学(Brown University)

美国常青藤大学

一、常春藤大学的综合考察 1 (一)秉承传统,注重办学特色 2 (二)讲求质量,保持领先地位 4 (三)避免封闭,与盟校切磋交流 7 二、常春藤大学的分别考察 (一)哈佛大学 9 (二)耶鲁大学 13 (三)哥伦比亚大学 18 (四)普林斯顿大学 23 (五)康乃尔大学 25 (六)宾西法尼亚大学 27 (七)布朗大学 29 (八)达特茅斯学院 34 三、常春藤大学面向未来开展教育创新 36 (一)调整课程体系 37 (二)倡导学术诚信 37 (三)加强科研攻关 37 (四)推动数字建设 38 (五)服务经济发展 38 (六)加强国际交流 39 (七)营造优美校园 39 (八)提高管理效率 40

美国常春藤大学 美国著名的八所常春藤大学均位于纽约领区,在一定程度上体现了我领区的优秀教育资源。本资料基于教育组领事对全部常春藤大学的实地考察编写而成。 一、常春藤大学的综合考察 美国常春藤大学历史悠久,崇尚学术,注重特色,塑造校风,规范办学,教授水平高,学生质量好,在美国乃至全世界高教领域都有较大影响,“常春藤”(Ivy League)几乎成了一流大学的代名词,成了这些名牌老校的无形资产。在21世纪的头几年,常春藤大学通过委任资深校长,聘用杰出教师,招收优秀学生,致力于发现知识、传授知识、培养人才、贡献社会,并制定出面向未来的规划,意欲在激烈的竞争中,始终处于不败之地。 (一)秉承传统,注重办学特色 源于竞技,代表名校。20世纪三、四十年代,美国各大学之间体育比赛如火如荼,并将体育比赛成绩与学校水平相提并论。各校为在比赛中独占鳌头,纷纷降低录取条件,提供高额奖学金,争招体育运动尖子,客观上造成为比赛而比赛,为名次而降分的局面,引起一些名校的不满。1945年,哈佛大学(建于1636)、耶鲁大学(1701)、哥伦比亚大学(1754)、和普林斯顿大学(1746)、四校达成共识,声明取消体育项目奖学金,并结成橄榄球竞赛联盟,在四校间进行比赛。“四”的罗马数字为I V,音同I V Y,意为长春藤,于是有人称这些大学为长春藤大学。 1954年,康乃尔大学(建于1868)、宾夕法尼亚大学(1740)、达特茅斯学院(1769)、布郎大学(1764)入盟。八校共同签署协议,决定各种体育比赛项目均在八校间开展。这八所名校皆为私立,除康乃尔建于19世纪外,其余都有数百年历史,比美国建国还早。这些大学均有古色古香的建筑物,墙壁上爬满了常春藤,从而强化了对常春藤的称谓。由于常春藤大学的历史久、水平高、名气大,尽管学费高昂,人们仍然心向神往。一些人上名校不只为读书,也为广泛交友,八面得风,预埋一张无形的社会关系网。 挟其声威,广揽财源。借助于在学术上的显赫气焰,常春藤大学一般很会造势。每年召开很多会议,邀请知名校友和著名财团、政要成为校董,以使财脉不段。校友乐于回馈母校,报答社会,向母校捐赠成为风尚。 学术自由,独立办学。常春藤大学享有充分的自主权。开什么专业,由学校决定;开什么课,由院系决定;如何上课,由教师决定。这些大学认为,学术自由是宪法修正案中明确赋予大学的权利,惟有如此,方能不媚权贵,追求真理,培育英才。当然,自由是相对的,有自由就有责任。 发展强项,注重特色。常春藤大学根据实际情况规划学校发展,有所为有所不为。注重特色,讲究比较优势,扬长避短。哈佛的政府学院历来第一,哥大的国际关系学院首屈一指,宾大的沃顿商学院傲视同行,耶鲁的法学院赫赫有名。达特茅斯学院曾有发展成研究型大学的机会,但它不改校名高扬本科教育的旗帜;布郎一贯实施课程的完全选修制,让学生自主学习;普林斯顿尽管财力雄厚,但不设医学院,集中力量办好原有系科;康乃尔农牧见长,农业推广项目享誉全美。 优美环境,优良校风。常春藤大学校园美丽,清静整洁,建筑典雅,错落有致,春夏秋冬各具风光,是理想的学习研究之地。这些大学提倡严谨诚信,以人为本,培养品德高尚、独立思考、身体健康、具有领导才能和创新精神的杰出人才。 依法治校,规范管理。常春藤大学均设有法律事务处,依据学校规模,内设3----18名专职法律顾问,总顾问常由一名副校长兼任。他们对外协调法律纠纷,努力维护学校权益,对内理顺部门关系,协助校长监管学校运作和教师操行。同时,各校均有一整套详尽的管理制度,实行规范管理。学校总部负责重大事项,院系则安排具体的教育教学活动,各司其职,各负其责。校董会(Corporation)是学校最高决策机构,由上院(Board of Fellows)和下院(Board of Trustees)组成。校董会的主要职责是:保证办学诚信,任命校长,确保教学管理有序,通过预算,筹款并管理大学的基金,却保足够的物质设施,总揽长远规划,充当大学于社区的桥梁,保持大学自治,仲裁校内纠纷。

常青藤代表着什么教育理念

来源:南方人物周刊 作者:南方人物周刊特约撰稿薛涌最后更新:2012-08-29 08:27:02 “常青藤”在中国已经甚为耳熟。人们对于耳熟的东西,也往往误会很多。10年前,中国掀起了“建设世界一流大学”的运动,常青藤作为“研究性大学”被当成模仿的标本。如今,中国的留学潮从研究院蔓延到了本科,常青藤的博雅教育、“完人”(well-rounded person)培养的理念,也被广为讨论,成为批判中国“应试教育”的有力武器。另外,在制度上,常青藤基本属于私立,和官办的中国高等教育体制形成了鲜明的对照。这似乎也成为市场效率的明证,值得中国的大学借鉴。 在我看来,对常青藤的这些认识,都有简单化之嫌。我个人作为美国教育制度的介绍者,对此也并非没有责任。现在的常青藤固然多为研究性大学,但却来自于和研究性大学非常不同的传统。教育的“完人”理想固然可贵,但这种贵族性的理念长期以来被用于维护上流社会的既得利益,有着相当丑陋的历史。相比之下,常青藤录取中的“应试化”,倒是一种进步的趋势。作为私立的常青藤,充分利用了市场模式,比起欧洲的官办大学来显示出巨大的优势。但是,常青藤在战后的进步,往往和联邦资金的大量介入、政府的一系列法规有密切关系。总之,常青藤有着悠久丰富的传统,但很难代表一个一成不变的教育理念。理解常青藤,就必须分析其复杂的历史基因。 耶鲁大学校园,布什和克里都曾在这里加入“骷髅会”(一个秘密精英社团,成员包括许多美国政界、商界、教育界的重要人物) “牛桥传统” 美国的高等教育是几大传统的汇流。追根寻源,哈佛、耶鲁、普林斯顿等常青藤盟校属于盎格鲁-萨克逊传统,或称“牛桥传统”(Oxbridge),即牛津-剑桥所代表的高等教育。这派的要旨,是培养“完人”,强调通才教育而轻视专业研究。牛津、剑桥到20世纪初尚不授予博士学位。人,而非专业,是教育的核心。 平民社会急剧扩张,几所贵族气十足的常青藤自然无法满足高等教育的需求。南北战争后,联邦政府通过了“颁地法”,即1862年的Merrill Land Grant Act和1887年的Hatch Act,拨给各州大量的联邦土地,让其用卖地所得的款项建立和发展州立大学,其宗旨是传授实用的生产技艺,特别是农业生产的技艺。密歇根、威斯康星以及加利福尼亚的州立大学体系,就是在这个时期成型的。直到今天,州立大学大多比较强调实用技能,也是和这种下里巴人的起源有关。 到19世纪末,德国的研究型大学崛起,其基本理念是把大学建成学术工厂,以学术带头人为中心组成专门的科系,研究人员在严格的分工下推进知识的新边疆。这种专业化体制,使德国在科学研究上突飞猛进,很快就成为诺贝尔奖得主最多的国家。爱因斯坦等一代科学巨子,实际上都是德国体制的产品。美国高等教育界人士显然在第一时间注意到了这一体制的优势,仿照德国模式建立了一系列私立的研究型大学。芝加哥大学、约翰·霍普金斯大学等等,都是在这一潮流中问世的。到20世纪,这种研究型大学和顶尖的州立大学汇流,强调专业训练,强调课程,和标举“完人”教育理想的常青藤形成了鲜明的对照。 在南北战争后,美国进入了急剧的工业扩张,一跃而成为世界第一大经济体。在这样一个激荡的年代,常青藤依然还是盎格鲁-萨克逊白人清教徒(WASP)精英阶层的私人俱乐部。其学生来源,主要是纽约、新

关于美国常青藤盟校的6大趣事

关于美国常青藤盟校的6大趣事常青藤盟校中拥有的都是一些在大学教育中十分知名的院校:即哈佛大学、耶鲁大学、普林斯顿大学、哥伦比亚大学、布朗大学、达特茅斯大学、宾夕法尼亚大学和康奈尔大学。 但这些名字就是你对常青藤盟校的全部了解吗?是不是惊讶的发现,其实自己对这一盟校一点都不了解。 继续往下读的这篇文章,为你介绍有关常青藤盟校的六大趣事。 1.“常春藤盟校”一词最初被用作侮辱。 关于“常青藤联盟”一词的起源有几种理论,我们可能永远无法确定哪一种才是最为准确的。但目前最流行的理论认为,它是由体育作家卡斯韦尔·亚当斯最开始使用的。 20世纪30年代,亚当斯为《纽约先驱论坛报》撰文。作为一名自豪的福特汉姆大学毕业生,当亚当斯被派去报道哥伦比亚大学和宾夕法尼亚大学之间的一场足球比赛,而不是他深爱的母校时,他很不高兴。 他向他的老板抱怨说,他被迫写关于这些“常春藤覆盖”老大学的报道,而不是报道当时的足球强国福德汉姆大学。在他的文章中,他就是用的“常春藤联盟(Ivy League)”这个词来侮辱哥伦比亚大学和宾夕法尼亚大学。 2. 他们的传统是独特的。 拥有如此悠久的历史,常春藤盟校以悠久的传统而闻名也就

不足为奇了。这些传统中大多都可以用“独特”一词来形容。 康奈尔大学的龙日:自1901年以来,康奈尔建筑系一年级的学生们建造了一条巨龙,这条巨龙穿过校园游行到康奈尔大学的艺术广场。在这个过程中,龙和穿着服装的建筑专业学生受到了来自工程学院竞争对手的质疑。在艺术广场,龙“被象征性的篝火吞噬”。 哈佛与原始呐喊:原始呐喊(Primal Scream)旨在缓解哈佛大学期末考试前的压力。最初,主要是由于学生们在期末考试前,总是半夜从窗户往外大声尖叫,这一词由此而来。如今,哈佛的学生们在校园里奔跑,通常一边高喊“哈佛,哈佛,哈佛”。 哥伦比亚大学的Orgo之夜:在进行有机化学期末考试的前一天午夜,哥伦比亚大学的进行曲乐队打断了巴特勒图书馆里勤奋的学习,讲了几个笑话,演奏了几首曲子。大约30分钟后,乐队将迁移去其他校园地点。有一种理论认为,这种传统是为了改善Orgo考试的评分曲线。 在宾夕法尼亚大学做“祝酒”:第三场过后,宾夕法尼亚大学的学生和球迷们唱起了校歌《fight song》,歌词是“Here’s a toast to dear old Penn”。在20世纪70年代以前,球迷们会在这个时候喝上一大口酒。但后来富兰克林球场禁止饮酒,球迷们从此就把真正的吐司(面包和其他烘焙食品)扔到球场上。 布朗大学的午夜风琴独奏会:万圣节前夕,身着盛装的布朗大学学生们抱着枕头和毯子涌向塞勒斯大厅。他们聚集在宽敞的大厅地板上,大学管风琴手使用1903年的哈钦斯-沃泰管风琴演奏着诡异的曲调。

美国常春藤大学名单

美国常春藤大学名单 常春藤院校为众多留学生关注,它由美国东北部之八所学校组合而成。常春藤大学每年都有几万美国本土学生和世界各地的优秀学生申请常春藤院校,但是随着申请常春藤院校的人数增加,申请难度也越来越大,每年都会有许多优秀学生被拒绝,因此,作为非本土申请人而言,抓住每一个细节十分重要。 八所常春藤盟校是: 布朗大学(Brown University):位于罗德岛州普洛威顿斯,1764年成立 哥伦比亚大学(Columbia University):位于纽约州纽约市,1754年成立 康乃尔大学(Cornell University):位于纽约州伊萨卡,1865年成立 达特茅斯学院(Dartmouth College):位于新罕布什尔州汉诺佛,1769年成立 哈佛大学(Harvard University):位于马萨诸塞州剑桥城,1636年成立 宾夕法尼亚大学(University of Pennsylvania):位于宾西法尼亚州费城,1740年成立 普林斯顿大学(Princeton University):位于新泽西州普林斯顿,1746年成立 耶鲁大学(Yale University):位于康涅狄格州纽黑文,1701年成立 几乎所有的常春藤盟校都以苛刻的入学标准著称,近年来尤其如此:在过去的10多年里常春藤盟校的录取率正在下降。很多学校还在特别的领域内拥有很高的学术声誉,例如: 哥伦比亚大学的法学院、商学院、医学院和新闻学院; 康乃尔大学的酒店管理学院和工程学院; 达特茅斯学院的塔克商学院(Tuck School of Business); 哈佛大学的商学院、法学院、医学院、教育学院和肯尼迪政府学院; 宾夕法尼亚大学的沃顿商学院、医学院、护理学院、法学院和教育学院; 普林斯顿大学的伍德鲁·威尔逊公共与国际事务学院; 耶鲁大学的法学院、艺术学院、音乐学院和医学院; 常春藤联盟院校的录取标准 1、成绩好是基础有独立精神更重要

常青藤的重要成员宾夕法尼亚大学校园景观一览

常青藤的重要成员宾夕法尼亚大学校园景观一览 宾夕法尼亚大学(University of Pennsylvania ),简称为宾大,位于宾夕法尼亚州的费城,是美国一所著名的私立研究型大学,八所常青藤盟校之一。 宾夕法尼亚大学由本杰明·富兰克林创建于1740年,是美国第四古老的高等教育机构,也是美国第一所从事科学技术和人文教育的现代高等学校。独立宣言的9位签字者和美国宪法的11位签字者与该校有关。 宾州大学沃顿商学院 宾夕法尼亚大学沃顿商学院位于费城,是世界最著名的商学院之一。沃顿商学院创立于1881年,是美国第一所大学商学院。学校的使命就是通过总结培养领导人才来促进世界的发展。沃顿在商业实践的各个领域有着深远的影响,包括全球策略,金融,风险和保险,卫生保健,法律与道德,不动产和公共政策等。它的商业教育模式是在教学,研究,出版和服务中处处强调领导能力,企业家精神,创新能力。 学院不仅在培养未来的商界精英,同时致力于为商界提供深入研究。并且它是世界最顶尖的商业知识创新机构。为实现这个目标就需要用精通于跨学科方法从事研究和紧密联系商界。沃顿18个研究中心就起到了这样的作用,这些研究中心包括:领导力和应变管理,创业管理,电子商务和商业改革等。这些研究中心让教授,学生以及工商界成员共同研究和分析商务问题。 校友网络: 沃顿在全球131个国家的75,000多名校友组成了全球最大的商学院校友网络。所有的沃顿学子毕业后就成为沃顿校友会的成员。沃顿在全球73个地区建立了校友会,在美国本土以外有47个,为校友们提供职业和个人发展机会。 沃顿毕业生在各个政府部门或工商企业中担任要职,其中一些也创立和发展了自己的公司。 著名的校友有:通用电气荣誉退休主席Reginald Jones;美国亨斯迈(Huntsman)公司创始人,主席兼首席执行官Jon Huntsman;雅诗兰黛(Estee Lauder)公司主席兼首席执行官Leonard Lauder;摩根大通(J.P.Morgan Chase)公司Geoffrey Boisi; 富达(Fidelity)投资公司副董事长Peter Lynch;嘉信证券(Charles Schwab)公司总裁兼副执行官David Pottruck;菲律宾长途电话公司总裁兼首席执行官Manual V.Pangilinan;德国邮政股份公司(Deutsche Post AG)首席执行官Klaus Zumwinkel;安联保险公司(Allianz AG)董事长Henning Schulte-Nloelle;富士施乐公司主席Yotaro Kobayashi,,“股神”沃伦·巴菲特,“股圣”彼得·林奇,纽约地产大王唐纳德·特朗普,尤里·米尔纳(Yuri Milner),俄罗斯著名投资人,俄罗斯互联网投资公司DST Global CEO、数码天空公司CEO、经济学家郎咸平等。

美国常春藤哥伦比亚大学

美国“常春藤”——哥伦比亚大学 春季访学项目介绍 一、项目介绍 1、哥伦比亚大学简介 哥伦比亚大学美国历史最悠久的五所大学之一,与耶鲁、哈佛、普林斯顿、康乃尔等八所大学共同组成“常春藤联盟(Ivy League)”,成为世界顶尖学府的代名词。学校位于世界之都--纽约曼哈顿,亦是奥巴马、胡适、徐志摩、李政道、蒙代尔、摩尔根等名人求学之地。哥伦比亚的校友和教授中一共有88人获得过诺贝尔奖,包括奥巴马总统在内的三位美国总统是该校的毕业生。 在2018年《美国新闻与世界报道》发布的美国大学权威排名中,哥伦比亚大学在全美4000多所高校综合排名第5名;在2018 年Times世界大学排名中,哥伦比亚大学位列第14位;在上海交通大学发布的全球高校学术排名中,哥伦比亚大学位于第8名。 2、访学时间及专业方向 2019年春季访学时间为:2019年1月–5月。根据学习目标、英语水平和专业背景的不同,参加项目的学生可选报两类课程:英语及美国文化课程(ALP)、与大学专业学分课程。参加项目的学生与哥伦比亚大学在读学生混合编班,由哥伦比亚大学进行统一的学术管理与学术考核,获得哥伦比亚大学正式成绩单。 第一种:英语及美国文化课程(ALP) 访学时间:2019年1月22日– 5月3日 对于希望通过访学提高英语水平、了解美国社会、增进对不同文化的认识和理解、提高创新意识和国际意识的同学,可申请英语及美国文化课程,通过与来自世界各地的同学一起学习,快速提高英语应用能力与沟通交流能力。哥伦比亚大学ALP成立于1911年,是全美最古老的语言中心。课程内容丰富、形式多样,以分级小班授课、专题讲座、小组讨论、校园文化实践、参观当地机构、参加中美大学生交流活动等各种形式,强化训练学生的英语听说读写能力、了解美国历史文化。 第二种:大学专业学分课程 访学时间:2019年1月22日– 5月17日

美国名校常春藤联盟详解

美国名校常春藤联盟详解 常春藤联盟学校的来源 一般所说的常春藤大学并不是特指一间大学,而是指包括八所大学的一个大学联盟。它们都位于美国的东部,北至新罕布舍尔州,南到宾夕法尼亚州。虽然这些大学都有古色古香的建筑物,墙壁上爬满了常春藤,但常春藤大学一名最早却不是由这种植物来的。 最早的常春藤学校实际上是四所大学结成的校际体育联盟。这四所大学是麻萨诸塞州的哈佛大学、狄克州的耶鲁大学、哥伦比亚大学和新泽西州的普林斯顿大学。四的罗马数字写为IV,然后加上词尾Y,就成了IVY,于是又称为常春藤大学。由于校际进行体育竞赛,不可避免地会造成各校为争抢体育学生高手,而忽视了学习成绩和其它方面的入学要求,所以长青藤学校之间共同制定了招生原则,即不因体育才能而依家庭经济情况而发放奖学金。后来这四所大学的联盟又扩展到八所,加入了罗得岛的布朗大学、纽约州的康奈尔大学、新罕布舍尔州的达特茅斯学院和宾夕法尼亚州的宾州大学。 这八所大学都是公认的一流大学,它们的历史悠久,治学严谨,教授水平高,学生质量好,因此常春藤大学又时常作为顶尖名校的代名词。其实,在这八所名校之外,美国还有许多也非常优秀的大学,如麻州的麻省理工学院、加州的斯坦佛大学、依利诺州的芝加哥大学等等,只是它们并不是长青藤大学联盟的成员罢了。 另外有三所文理学院有时也被人们称为小常春藤学校,它们是麻萨诸塞州的阿姆赫斯特学院与威廉姆斯学院和狄克州的威斯理安学院。不过近来威斯理安学院的学生抗议,不同意该校挂小常春藤之名,校方也只好妥协。 常春藤联盟介绍 常春藤联盟Ivy League An association of eight universities and colleges in the northeast United States, c omprising Brown, Columbia, Cornell, Dartmouth, Harvard, Princeton, the UNIVERSITY OF PENNSYLVANIA, and Yale. 常春藤联盟由美国东北部七所大学及一所学院所组成。它们为布朗(Brown)、哥伦比亚(Columbia)、康乃尔(Cornell)、耶鲁(Yale)、哈佛(Harvard )、宾州(Pennsylvania)、

常青藤名校

美国常春藤名校

目 录 第一章:常春藤名校简介 第二章:常春藤8所名校的详细介绍 2.1 哈佛大学 2.2 耶鲁大学 2.3 哥伦比亚大学 2.4 普林斯顿大学 2.5 布朗大学 2.6 康奈尔大学 2.7 达特茅斯学院 2.8 宾夕法尼亚大学

第一章简 介 以哈佛、耶鲁为代表的“常春藤联盟”是美国大学中的佼佼者,在美国的3000多所大学中,“常春藤联盟”尽管只是其中的极少数,仍是许多美国学生梦想进入的高等学府。 常春藤盟校(lvy League)是由美国的8所大学和一所学院组成的一个大学联合会。它们是:马萨诸塞州的哈佛大学,康涅狄克州的耶鲁大学,纽约州的哥伦比亚大学,新泽西州的普林斯顿大学,罗德岛的布朗大学,纽约州的康奈尔大学,新罕布什尔州的达特茅斯学院和宾夕法尼亚州的宾夕法尼亚大学。这8所大学都是美国首屈一指的大学,历史悠久,治学严谨,许多著名的科学家、政界要人、商贾巨子都毕业于此。在美国,常春藤学院被作为顶尖名校的代名词。 常春藤盟校的说法来源于上世纪的50年代。上述学校早在19世纪末期就有社会及运动方面的竞赛,盟校的构想酝酿于1956年,各校订立运动竞赛规则时进而订立了常春藤盟校的规章,选出盟校校长、体育主任和一些行政主管,定期聚会讨论各校间共同的有关入学、财务、援助及行政方面的问题。早期的常春藤学院只有哈佛、耶鲁、哥伦比亚和普林斯顿4所大学。4的罗马数字为“IV”,加上一个词尾Y,就成了“IVY”,英文的意思就是常春藤,所以又称为常春藤盟

校,后来这4所大学的联合会又扩展到8所,成为现在享有盛誉的常春藤盟校。 这些名校都有严格的入学标准,能够入校就读的学生,自然是品学兼优的好学生。学校很早就去各个高中挑选合适的人选,许多得到全国优秀学生奖并有各种特长的学生都是他们网罗的对象。不过学习成绩并不是学校录取的惟一因素,学生是否具有独立精神并且能否快速适应紧张而有压力的大一新生生活也是他们考虑的重要因素。学生的能力和特长是衡量学生综合素质的重要一关,高中老师的推荐信和评语对于学生的入学也起到重要的作用。学校财力雄厚,招生办公室可以完全根据考生本人的情况录取,而不必顾虑这个学生家庭支付学费的能力,许多家境贫困的优秀子弟因而受益。有钱人家的子女,即使家财万贯,也不能因此被录取。这也许就是常春藤学院历经数百年而保持“常青”的原因。 第二章 常春藤8所名校的详细介绍 2.1 哈佛大学(Harvard University) 学校简介: 建于1636年,是全美最古老的高等学府,也是全球知名的多种领域的研究及教学中心。

美国常春藤大学包括哪些学校

?网站地图加入收藏 美国常春藤大学包括哪些学校 信息来源:网络发布时间:2012-11-05 美加百利留学隶属于百利天下教育集团,公司成立于2004年,是获得教育部、公安部和国家工商行政 管理局批准的权威专业认证的留学咨询公司。美加百利留学提供美国、加拿大、英国、日本等多个国家的留学及签证服务,多年来致力于出国留学高端申请,已经为无数学子申请到名校OFFER和奖学金,在业界享有极高的知名度。美加百利留学是国内首家把职业规划引到留学行业并付诸实践的机构,引发业界震撼 和媒体广泛关注,实施以来客户好评不断。 内容摘要 ?美国常春藤大学包括哪些学校?美国常春藤大学是由美国新英格兰地区8所大学组成的联盟,包括:哈佛、耶鲁、宾夕法尼亚、康奈尔、哥伦比亚、普林斯顿、布朗以及达特茅斯。 关键词: ?美国常春藤大学包括哪些学校,美国常春藤大学 美国常春藤大学联盟顶尖的学术水准、一流的教学质量,早已成为美国最顶尖名校的代言词。那么美国常春藤大学包括哪些学校?下面我们来详细看一下各个学校的简单的介绍。 1. 哈佛大学 哈佛大学是美国最著名与古老的高等学府之一,这所位于麻萨诸塞州坎布里奇镇的私人学府于1636年9月8日创立,原名是坎布里奇学院。 2. 耶鲁大学 耶鲁大学是美国历史上最悠久的私立大学之一,于1701年创立于美国康涅狄格州的吉灵伍斯,即首任校长彼埃斯的家乡所在地,最初称为大学学院。

3. 宾夕法尼亚大学 宾夕法尼亚大学是一所私立大学,是在美国开国元勋本杰明o富兰克林的倡导下于1740年建立起来的。它是美国东北部常春藤大学之一,因其优秀的本科生教育、出色的科研成果和卓越的研究生课程而闻名于美国和全世界。在全美名牌大学中,宾夕法尼亚大学占据着一个相当显著的位置。 4. 康奈尔大学 康乃尔大学建于1865年,是由艾兹拉·康乃尔创建的。在所有“常春藤盟校”中,康乃尔是历史最短的一个,而同时它又是最大的一个。它拥有本科生13000多人,遥遥领先于其它“常春藤盟校”,让人想起“百川归海,有容乃大”的古话。 5. 哥伦比亚大学 哥伦比亚大学位于纽约市中心,于1754年成立,在2004年庆祝了建校250周年。成立初期仅一间课室,一位教授及八名学生。现在,她已经是常青藤八大名校之一,现有学生23650人。因为其占尽纽约市地利,许多莘莘学子慕名而来。 6. 普林斯顿大学 普林斯顿大学(Princeton University(NJ))位于美国新泽西州的普林斯顿。它是美国殖民时期第四所成立的高等教育学院.它是英属北美洲部分成立的第四所大学。虽然它最初是长老制的教育机构,但是现在已经成为非宗教大学,对学生亦无任何宗教上的要求。这所大学提供两种主流的本科学位:文学士学位和工学士学位。普林斯顿保有浓厚的欧式教育学风。创立宗旨上强调训练学生具有人文及科学的综合素养。7. 布朗大学以学风“最最自由”而闻名的布朗(Brown University)大学建于1764年,是美国的老牌私立大学,也是“长春藤盟校”(Ivy Ieague)的成员之一。她坐落在美国小州罗德岛(Rhode Island)的首府。1998年《美国新闻与世界报导》公布的全美大学排行榜上,布朗大学排名

相关主题
文本预览
相关文档 最新文档