Abstract
Online learning and testing are important topics in information education. Students can take online tests to assess their achievement of learning goals. However, the test results should assign student scores and assess their achievement of knowledge and cognition levels. Teachers currently need to spend considerable time on producing and maintaining on-line testing items. This study applied ontology, Chinese semantic database, artificial intelligence and Bloom’s taxonomy to propose a CAGIS E-learning system architecture to assist teachers in creating test items. As the result, the computer assisted teachers in producing a large number of test items quickly. These test items covered three types of knowledge and five dimensions of cognitive skills. The test items could meaningfully assess learning level meaningfully.
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References
Chou, W.J.: Implementation of Computer-Assisted Testing on WWW. In: Proceedings of the Seventh International Conference on Computer Assisted Instruction, pp. 543–550 (1998)
Chang, L.C.: Educational Testing and Measurement, Wu-Nan, Taipei (1997)
Kreber, C.: Learning Experientially through Case Studies: A Conceptual Analysis. Teaching in Higher Education 6(2), 217–228 (2001)
Bloom, B.S., Englehart, M.D., Furst, E.J., Hill, W.H., Krathwohl, D.R.: A Taxonomy of Educational Objectives: Handbook 1, The Cognitive Domain. David Mckay, N.Y (1956)
Anderson, W., Krathwohl, D.R.: A Taxonomy for Learning, Teaching, and Assessing: A Revision of Blooms’ Educational Objectives. Longman (2001)
Lin, Y.D., Sun, W.C., Chou, C., Wei, H.Y.: DIYexamer: A Web-based Multi-Server Testing System with Dynamic Test Item Acquisition and Discriminability Assessment. In: Proceedings of the ICCE 2001, vol. 2, pp. 1512–1520 (2001)
Ho, R.G., Su, J.C., Kuo, T.H.: The Architecture of Distance Adaptive Testing System. Information and Education 42, 29–35 (1996)
Devedzic, V.B.: Key Issues in Next-Generation Web-based Education. IEEE Transactions On Systems, Man, And Cybernetics-PART C. Applications And Reviews 33(3), 339–349 (2003)
Hwang, G.J.: A conceptual map model for developing intelligent tutoring systems. Computers & Education 40, 217–235 (2003)
Moundridou, M., Virvou, M.: Analysis and Design of a Web-based Authoring Tool Generating Intelligent Tutoring Systems. Computer & Education 40, 157–181 (2003)
Sun, K.T.: An Effective Item Selection Method by Using AI Approaches. The Meeting of the Advanced in Intelligent Computing and Multimedia System, Baden-Baden, Germany (1999)
Hwang, G.J., Tseng, J., Chu, C., Shiau, J.W.: Analysis and Improvement of Test Items for a Network-based Intelligent Testing System. Chinese Journal of Science Education 10(4), 423–439 (2002)
Mitkov, R., Ha, L.: Computer-Aided Generation of Multiple-Choice Tests. In: Proceedings of the HLT-NAACL 2003 Workshop on Building Educational Applications Using Natural Language Processing, Edmonton, Canada, pp. 17–22 (2003)
Sumita, E., Sugaya, F., Yamamoto, S.: Measuring Non-native Speakers’ Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions. In: Proceedings of the Second Workshop on Building Educational Applications Using NLP, Ann Arbor, Michigan, pp. 61–68 (2005)
Liu, C.L., Wang, C.H., Gao, Z.M., Huang, S.M.: Applications of Lexical Information for Algorithmically Composing Multiple-Choice Cloze Items. In: Proceedings of the Second Workshop on Building Educational Applications Using NLP, Ann Arbor, Michigan, pp. 1–8 (2005)
Flavell, J.H.: Speculation about the Nature and Development of Meta-Cognition. In: Weiner, F.E., Kluwe, R.H. (eds.) Metacognition, Motivation, and Understanding. Lawrence Erlbaum, Hillsdale (1987)
Yang, H.L., Ying, M.H.: An On-line Test System Framework with Intelligent Fuzzy Scoring Mechanism. Journal of Information Management 13(1), 41–74 (2006)
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Ying, MH., Yang, HL. (2008). Computer-Aided Generation of Item Banks Based on Ontology and Bloom’s Taxonomy. In: Li, F., Zhao, J., Shih, T.K., Lau, R., Li, Q., McLeod, D. (eds) Advances in Web Based Learning - ICWL 2008. ICWL 2008. Lecture Notes in Computer Science, vol 5145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85033-5_16
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DOI: https://doi.org/10.1007/978-3-540-85033-5_16
Publisher Name: Springer, Berlin, Heidelberg
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