Enhancing SCORM metadata for assessment authoring in e-learning...Sharable Content Object Reference Model
With the rapid development of distance learning and the XML technology, metadata play an important role in e-Learning. Nowadays, many distance learning standards, such as SCORM, AICC CMI, IEEE LTSC LOM and IMS, use metadata to tag learning materials. However, most metadata models are used to define...
| Publicado en: | Journal of Computer Assisted Learning Vol. 20; no. 4; pp. 305 - 317 |
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| Autores principales: | , , , |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106682520&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106682520 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2004 vid: 20 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 106682520 106682520 2004152891 10.1111/j.1365-2729.2004.00091.x 106682520 ppf: 305 ppct: 12 formats: tig: atl: Enhancing SCORM metadata for assessment authoring in e-learning...Sharable Content Object Reference Model aug: au: Chang W Hsu H Smith TK Wang C affil: Multimedia Information NEtwork (MINE) Lab, Dept of Computer Science and Information Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan, ROC; g8190239@tkgus.tku.edu.tw sug: subj: Computer-Assisted Instruction Evaluation Teaching Methods Evaluation Program Development ab: With the rapid development of distance learning and the XML technology, metadata play an important role in e-Learning. Nowadays, many distance learning standards, such as SCORM, AICC CMI, IEEE LTSC LOM and IMS, use metadata to tag learning materials. However, most metadata models are used to define learning materials and test problems. Few metadata models are dedicated to assessment. In this paper, the authors propose an assessment metadata model for e-Learning operations. With support from assessment metadata, we can incorporate measured aspects of the following list into the metadata description at the question cognition level, the item difficulty index, the item discrimination index, the questionnaire style and the question style. The assessment analysis model provides analytical suggestions for individual questions, summary of test results and cognition analysis. Analytical suggestions provide teachers information about why a question is not appropriate. Summary of test results improves the teacher's view of student learning status immediately. Items missing from the teaching materials can be identified by cognition analysis. In this research, the authors propose an enhanced metadata model and an implemented system based on our model. With metadata support, metadata can help teachers in authoring examination. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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