博碩士論文 85345004 詳細資訊




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姓名 劉晨鐘( Chen-Chung Liu)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 網路學習歷程之知識探索:學習效能評鑑之工具
(Knowledge discovery from web portfolios: tools for learning performance assessment)
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摘要(中) 許多課程在全球資訊網開課,老師必須在這些網路學習系統管理學生學習活動以改進學習效果,現在教育者利用作品集評量方式來主動的評鑑學生與制定有效策略來增加學生的學習效能,雖然網路學習系統可以記錄網路學習行為歷程於網站日誌中,但是這些網站日誌並不是為教育用途而設計,老師不容易瞭解各種學習行為和策略的關係,所以老師很難從學生行為歷程中推導學生的學習活動效能進而制定有效活動策動。本論文描述如何幫助老師分析網路學習歷程(Web Portfolios)包括詳細的學生學習行為、教室歷程、與同儕互動,以了解學生在網路教室中的學習活動效能。本論文使用資料庫與資料萃取方法來處理學習活動資料並進而分析這些學習歷程,以輔助教育上之決策分析與決策實施。所使用之方法可使老師以線上的方式有效的監控學生的學習狀態,並進而了解學習行為、教學策略與同儕互動之間的關係,而非個人的知識狀態,所以可以輔助老師下正確決策以管理網路學習系統之學習活動。
摘要(英) Courses are widely offered on the World Wide Web. Teachers must manage learning activities in the web learning system to create valuable learning effect. Recently, educators have increasing interest in portfolio assessment to actively assess and make effective strategies to promote students’ learning performance. Although the web leaning system can log web learning behaviors in web logs, the web log is not designed for pedagogical purposes. Teachers can not easily obtain the relationship between various learning behaviors and strategies. Consequently, teachers encounter difficulties to make decision to regulate effective learning activities or strategies by inferring students’ activity performance from historical information. This study describes the methodology to assist teachers analyze web portfolios, which contain in detail students’ learning behaviors, classroom processes, peer interaction history, for perceiving student activity performance in web classrooms. Database and data mining technologies are herein employed to faithfully record learning activity, analyse portfolios for pedagogical strategy regulation, and strategy enactment in web classrooms. With the proposed methodology, teachers can go online and efficiently use the web portfolios to monitor students’ learning status and perceive relationship among learning behaviors, pedagogical strategies, and peer interactions, rather than knowledge state of individual students. Therefore, teachers can make decisions to manage learning activities to promote learning effect in web learning system.
關鍵字(中) ★ 決策支援
★ 網路學習系統
★ 資料萃取
★ 作品集評量
★ 效能評鑑
關鍵字(英) ★ data mining
★ portfolio assessment
★ performance assessment
★ web learning system
★ decision support
論文目次 封面
CHAPTER Ⅰ. INTRODUCTION
1-1 BACKGROUND
1-2 MOTIVATION
1-3 PURPOSE OF THE STUDY
1-4 ISSUES AND APPROACHES OF USING WEB PORTFOLIOS FOR PERFORMANCE ASSESSMENT
1-5 DISSERTATION ORGANIZATION
CHAPTER Ⅱ. RELATED RESEARCHES
CHAPTER Ⅲ. WEB LEARNING PORTFOLIOS FOR SUPPORTING LEARNING PERFORMANCE MONITORING
3-1 THE WEB POPTFOLIO SYSTEM FOR ASSESSMENT AND LEARNING
3-2 USING DATABASE TECHNOLOGY FOR PERFORMANCE AWARENESS
3-3 STUDENTS' REACTIONS
3-4 SECTION SUMMARY
CHAPTER Ⅳ. DISCOVERY OF KNOWLEDGE FOR ASSESSING CLASSROOM PROCESSES PERFORMANCE
4-1 STRATEGY ANALYSIS IN DISCUSSION LEARNING PROCESS
4-2 STRATEGY ANALYSIS USING DECISION TREE AND DATA CUBE TECHNOLOGIES
4-3 SECTION SUMMARY
CHAPTER Ⅴ. DISCOVERY OF STUDENT MODEL FOR ASSESSING LEARNING PERFORMANCE
5-1 LEARNING PERFORMANCE ASSESSMENT USING BAYESIAN NETWORK
5-2 BAYESIAN NETWORK ANALYSIS OF ACTIVITY PERFORMANCE
5-3 CONSTRUCTION OF PERFORMANCE DATABASE
5-4 INDUCTION OF BAYESIAN BELIEF NETWORK
5-5 SECTION SUMMARY
CHAPTER Ⅵ. MANAGING ACTIVITY DYNAMICS OF COLLABORATIVE LEARNING ACTIVITIES
6-1 ENACTMENT OF IBIS COLLABORATIVE DISCUSSION ACTIVITY
6-2 WEB SITE SPECIFICATION FOR COLLABORATIVE LEARNING ACTIVITIES
6-3 QUERY OF COLLABORATIVE LEARNING ACTIVITIES
6-4 SECTION SUMMARY
CHAPTER Ⅶ. CONCLUSIONS
REFERENCE
APPENDIX
參考文獻 [1] R. Agrawal and R. Srikant, Fast Algorithms for Mining Association Rules in Large Databases, Proceedings of the 20th international Conference on Very Large Data Bases, pp. 487-499, 1994.
[2] J. Anderson, C. Boyle, A. Corbett, and M. Lewis, Cognitive modeling and intelligent tutor, Artificial Intelligence, 42:7-49, 1990.
[3] R. Alur and T. A. Henzinger, Real-time logics: complexity and expressiveness, Information and Computation, 104, pp.35-77, 1997.
[4] G. O. Arocena, A. O. Mendelzon: WebOQL: Restructuring Documents, Databases, and Webs. ICDE 1998.
[5] E. Aronson, N. Blaney, C. Stephan, J. Sikes, M. Snapp, The Jigsaw classroom, Baverly Hills: Sage Publications.
[6] R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval (Acm Press Series), Addison-Wesley Pub Co, 1999.
[7] J. Baker and G. Dillon, Peer Support on The Web, Innovations in Education and Training International, 36:1, pp. 65-79, 1999.
[8] P. G. Barker, Emerging Principles of Performance Support, in Proceedings of ONLINE Information ‘95, Learned Information (Europe), 407-416, Oxford, 1995.
[9] P. G. Barker, A. K. Banerji, S. R. Richards and C. M. Tan, A Global Performance Support System for Students and Staff, Innovations in Education and Training International, 32(1), 35-45, 1995.
[10] A. E. Barron, and S. Varnadoe, Performance Support Systems: Design and Development, 405-407 in Volume 2 of 'Leadership for Creating Educational Change: Integrating the Power of Technology', Proceedings of the 12th International Conference on Technology and Education, February 28th - March 3rd, 1995, edited by T. Sechrest, M. Thomas and N. Estes, University of Texas at Austin, Texas, USA, 1995.
[11] C. Beeri, G. Elber, T. Milo, Y. Sagiv, O. Shmueli, Y. Kogan, D. Konopnicki, P. Mogilevski, N. Slonim: WebSuit - A Tool for Harnessing Web Data , WebDB 1998.
[12] BKD(Bayesian Knowledge Discoverer) develop by Knowledge Media Institute of The Open University, URL is http://kmi.open.ac.uk/projects/bkd.
[13] B. S. Bloom, M. D. Englehart, E. J. Furst, W. H. Hill, and D. R. Krathwohl, Taxonomy of educational objectives: The classification of educational goals. Hand Book 1: Cognitive domain, New York: MCKay, 1956.
[14] Blue Martini Software, URL is http://www.bluemartini.com/.
[15] H. Borko, P. Michalee, M. Timmons, and J. Siddle, Student Teaching Portfolios: A Tool for Promoting Reflective Practice, Journal of Teacher Education, 48:5, pp 345-356, 1997.
[16] Brewer, G. (1994). "FileMaker Pro" Computer program. Santa Clara, CA: Claris Corporation.
[17] C. B. Burch, Inside the portfolio experience: The student perspective, English education, 32, 1, 34-49, 1999.
[18] R. B. Burton, Diagnosing Bugs in A Simple Procedural Skill, In D.Sleeman & J. S. Brown(Eds.), Intelligent Tutoring Systems, London: Academic Press, 1982.
[19] M. Capps, B. Ladd, P. D. Stotts: Enhanced Graph Models in the Web Multi-client, Multi-head, Multi-tail Browsing, Proceedings 5th International World Wide Web Conference, 1996.
[20] R. G. G. Cattel, T. Atwood, J. Duhl, G. Ferran, M. Loomis, and D. Wade, The object database standard ODMG-93, Morgan Kaufmann Publishers, San Mateo, California, 1994.
[21] C. K. Chang and G. D. Chen, Constructing collaborative learning activities for distance CAL systems, Journal of computer assisted learning, Vol. 13. No. 13, pp. 2-15, 1997.
[22] E. Charniak, Bayesian Networks without Tears, AI Magazine, 12:4, pp. 50-63, 1991.
[23] M. S. Chen, J. S. Park, P. S. Yu: Efficient Data Mining for Path Traversal Patterns. IEEE Transaction on Data and Knowledge Engineering, 10(2), 209-221, 1998.
[24] P. Chen, The Entity-Relationship Model - Toward a Unified View of Data, ACM Transactions on Database Systems, pp. 9-36, 1976.
[25] M. T. H. Chi, R. Glaser and E. Rees, Expertise in problem solving, In R.J. Sternberg(Ed.) Advances in The Psychology of Human Intelligence, Vol. 1, 1982.
[26] C. M. Clark and R. J. Yinger, Teachers’ thinking, In P. L. Peterson & H. J. Walbert (Eds.), Research on teaching, Berkeley, CA: McCutchan,1979.
[27] Clementine, URL is http://www.isl.co.uk/.
[28] C. Conati, A. Gertner, K. VanLehn, and M. Druzdzel, On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks, In proceedings of the 6th International Conference on User Modeling, pp. 231-242, 1997.
[29] J. Conklin, M. L. Begeman: gIBIS: A Hypertext Tool for Exploratory Policy Discussion. TOIS 6(4): 303-331 (1988)
[30] G. F. Cooper, Current Research Directions in The Development of Expert Systems Based on Belief Networks, Applied Stochastic Models and Data Analysis, 5:1, pp. 39-52, 1989.
[31] D. L. DeVries and R. E. Slavin, Teams Games Tournament(TGT): A review of ten classroom experiments, Journal of Research and Development in Eduction, 12, 28-38.
[32] M. L. Duffy, J. Jones, and S. W. Thomas, Using Portfolios to Foster Independent Thinking, Intervention in School and Clinic, 35, 1, 34-37, 1999.
[33] EduCities URL is http://www.educities.edu.tw/
[34] U. M. Fayyad and K.B. Irani, Multiinterval Discretization of Continuous Valued Attributes for Classification Learning, In proceedings of the 13th International Joint Conference on Artificial Intelligence, pp.1022-1027, 1993.
[35] U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and , R. Uthurusamy, From Data Mining to Knowledge Discovery: An Overview, in Advances in Knowledge Discovery and Data Mining pp. 1-34, MIT Press, 1996.
[36] E. A. Feigenbaum, P. McCorduck, and H. P. Nii, The Rise of the Expert Company. New York: Times Books, 1988.
[37] M. F. Fernandez, D. Florescu, J. Kang, A. Y. Levy, D. Suciu: Catching the Boat with Strudel: Experiences with a Web site Management System, SIGMOD Conference 1998.
[38] J. D. Fletcher, Modeling of Learner in Computer-Based Instruction, Journal of Computer-Based Instruction, vol. 1, pp. 118-126, 1975.
[39] E. D. Gagne, C. W. Yekovich, F. R. Yekovich, The Cognitive Psychology of School Learning, HarperCollins College Publishers, New York, 1993.
[40] GeNIE develop by Decision Systems Laboratory, University of Pittsburgh., URL is http://www2.sis.pitt.edu/~genie/.
[41] A. Girgensohn, A. Lee, K. Schlueter: Experiences in Developing Collaborative Applications Using the World Wide Web "Shell". Hypertext 1996: 246-255
[42] T. L. Good, Classroom reaserch, A decade of progress, Educational Psychologist, 18, pp.127-144.
[43] Grady, M. P. (1991). "Grady Profile" Computer program. St. Louis, MO: Aurbach & Associates, Inc.
[44] K. Gronbak, J. A. Hem, O. L. Madsen, L. Sloth: Designing Dexter-Based Cooperative Hypermedia Systems. 25-38.
[45] J. M. Haake, B. Wilson: Supporting Collaborative Writing of Hyperdocuments in SEPIA, CSCW, 1992.
[46] F. G. Halasz: Reflections on NoteCards: Seven Issues for the Next Generation of Hypermedia Systems. CACM 31(7): 836-852 (1988)
[47] Portfolio system at Haworth College of Business, URL at http://www.hcob.wmich.edu/portfolio/
[48] S. R. Hiltz, The virtual classroom: learning without limits via computer network, Alex Publishing Corporation, Norwood NJ, 1994.
[49] R. C. Holte, Very Simple Classification Rules Perform Well on Most Commonly Used Dataset. Machine Learning, Vol. 11, pp. 63-91, 1993.
[50] Portfolio system at Illinois State University, URL at http://portfolio.ilstu.edu/
[51] D. Johnson and R. Johnson, Learning together and alone, Englewood Cliffs, NJ: Prentice Hall, 1975.
[52] Bayesian product development develop by Kalamation International, URL is http://kalamation.com/.
[53] W. Kim, Modern database systems: the object model, interoperability, abd beyond, ACM Press and Addison-Wesley, New York, 1995.
[54] M. Kuechler, Using the Web in the Classroom, Social Science Computer Review, 17:2, pp. 144-161, 1999.
[55] W. Kunz, and H. Rittel, Issue as elements of information systems. Working Paper 131, Institute of Urban and Regional Development, University of California, Berkeley, California 1970
[56] L. V. S. Lakshmanan, f. Sadri, I. N. Subramanian: A Declarative Language for Querying and Restructuring the WEB. RIDE-NDS 1996: 12-21
[57] A. M. D. Lankes, Electronic Portfolios: A New Idea in Assessment. ERIC Digest ED390377, 1995.
[58] I. S. Lee, Analysis of Learners’ Perceptions and Learning Styles in a Web-based Environment Mixed with a Traditional Classroom, Proceedings of Advanced Research in Computer and Communication in Education, Vol. 1, pp. 468-475, 1999.
[59] L. Liu, R. Meersman: Activity Model: A Declarative Approach for CapturingCommunication Behaviour in Object-Oriented Databases, Proceedings of 18th international Conference on VLDB, 1992.
[60] Q. Long, Gwstat, URL is http://dis.cs.umass.edu/stats/gwstat.html.
[61] O. McAfee and D. Leong, Assessing and guiding young children’s development and learning, Boston: Allym and Bacon, 1994.
[62] D. G. Maher, AccessWatch, URL is http://accesswatch.com/.
[63] K. VanLehn and J. Martin, Student Assessment using Bayesian Nets, International Journal of Human-Computer Studies, vol. 42, pp. 575-591, 1995.
[64] R. Mattison, Data warehousing: strategies, technologies, and techniwues, The McGraw-Hill companies, pp. 333-352, 1996.
[65]K. L. McGraw, Performance Support Systems: Integrating AI, Hypermedia and CBT to Enhance User Performance, Journal of Artificial Intelligence in Education, 5(1), 3-26, 1994.
[66] L. C. Meredith, Supporting and facilitating self-directed learning, ERIC Digest, No. 93.
[67] T. M. Mitchell, Decision tree learning in Machine Learning, McGraw-Hill Company, 1997.
[68] A. Mitrovic, S. Djordjevic-Kajan, L. Stoimenov, INSTRUCT: Modeling Students by Asking Questions, User Modeling and User-Adapted Interaction, 6,:4, pp. 273-302, 1996.
[69] Moore, A. W. and M.S. Lee, Efficient Algorithms for Minimizing Cross Validation Error, In Proceedings of the 11th International Conference on Machine Learning, pp. 190-198, 1994.
[70] MSBN(Microsoft Belief Network Tools) develop by Microsoft, URL is http://www.research.microsoft.com/research/dtg/msbn/.
[71] Netica develop by Norsys Software Corp, URL is http://www.norsys.com/
[72] D. Niguidula, Picturing performance with digital portfolios, Educational leadership, Vol. 55, pp. 46-30, 1997.
[73] Noetic Systems developed by Noetic Systems Incorporated, URL is http://noeticsystems.com/.
[74] F. L. Paulson, P. R. Paulson, and C. A. Meyer, What makes a portfolio a portfolio?, Educational Leadership, 48:5, pp. 60-63, 1991.
[75] J. Pearl, Probabilistic Reasoning in Intelligent System: Networks of Plausible Inference, Morgan-Kaufmann Publishers, San Mateo, 1988.
[76] P. L. Peterson and, C. M. Clark, Teachers’ reports of their cognitive processes during teaching, American Educational Research Journal, 15, pp. 555-565, 1978.
[77] P. L. Peterson, R. W. Marx, and C. M. Clark, Teacher planning, teacher behavior, and student achievement, American Educational Research Journal, 15, pp. 417-432, 1978.
[78] A. Pnueli and E. Harel, Application of temporal logic to the specification of real time system, Lecture notes in computer science, vol.331, pp.84-98, Springer-Verlag, Berlin/New York, 1988.
[79] J. R. Quinlan, C4.5 Programs for machine learning, Morgan Kaufmann Publishers, San Mateo, California, 1993.
[80] J. R. Quinlan, Boosting, Bagging, and C4.5, Proceedings of the Thirteenth National Conference on Artificial Intelligence, pp. 725-730, 1996.
[81] E. Regan, Integrating EPSS into the Office Environment, International Performance Support User Group, Columbus, Ohio, USA, 1993.
[82] G. M. Rogers and J. Willams, Building a better portfolio, ASEE Prism, Vol. 8, pp. 30-33, 1999.
[83] D. Rumelhart, B. Widrow, M. Lehr, The basic ideas in neural networks, Communication of the ACM, 37:3, pp. 87-92, 1994.
[84] B. D. Shaklee, N. E. Barbour, R. Ambrose, and S. J. Hansford, Design and using portfolios, Allyn & Bacon, 1997.
[85] R. J. Shavelson, Teachers’ decision making, in N. L. Gage (Ed.), The psychology of teaching methods, Yearbook of National Society for the Study of Education, Chicago: University of Chicago Press, 1976.
[86] R. J. Shavelson and P. Stern, Research on teachers’ pedagogical thoughts, decisions, and behavior, Review of Educational Research, 51, pp. 455-498, 1981.
[87] L. S. Shulman, Those who understand: Knowledge growth in teaching, Educational Researcher, 15, pp. 4-14, 1986.
[88] P. Sijben, Webstat, URL is http://www.huygens.org/~sijben/statistics/advertisment.html
[89] P. Skehan, Individual difference in second language learning, Arnord London, 1989.
[90] R. E. Slavin, Student teams and achievement divisions, Journal of Research and Development in Eduction, 12, 39-49.
[91] J. B. Smith, F. D. Smith: ABC: A Hypermedia System for Artifact-Based Collaboration. Hypertext 1991: 179-192.
[92] J. G. Soper and H. P. Yueh, Portfolios: Tools for learning and assessment, International Journal of Engineering Education(in press).
[93] P. Spector, An Introduction to S and S-plus, Duxbury Press, 1994.
[94] P. D. Stotts, R. Furuta, C. R. Cabarrus: Hyperdocuments as Automata: Verification of Trace-Based Browsing Properties by Model Checking. TOIS 16(1): 1-30 (1998)
[95] TopClass, URL is http://www.wbtsystems.com/ by WBT Systems.
[96] M. A. S. Turine, M. C. F. de Oliveira, P. C. Masiero: A Navigation-Oriented Hypertext Model Based on Statecharts. Hypertext 1997: 102-111
[97] S. Turner, Analog. URL is http://www.statslab.cam.ac.uk/~sret1/analog/.
[98] K. VanLehn and J. Martin, Evaluation of an assessment system based on Bayesian student model, International Journal of AI and Education, vol. 8, pp. 179-221, 1997.
[99] Student portfolio at Virginia Tech, URL at http://teched.vt.edu/
[100] Virtual-U, URL is http://www.vlei.com/ developed by Simon Fraser University.
[101] Wagner, R. (1993). "HyperStudio" Computer program. El Cajon, CA: Roger Wagner Publishing, Inc.
[102] W. Wang, J. M. Haake: Supporting User-defined Activity Spaces. Hypertext 1997: 112-123
[103] N. M. Webb, Group Composition, Group Interaction and Achievement in Cooperative Small Groups, Journal of Educational Psychology, vol. 74, pp. 475-484, 1982.
[104] WebCT: World Wide Web Course Tools, URL is http://www.webct.com/.
[105] E. Wenger, J. S. Brown, and J. Greeno, Artificial Intelligence and Tutoring Systems, Morgan Kaufmann Publishers, 1987.
[106] G. Wiggins, Assessing student performance: Exploring the purpose and limits of testing, New York: Jossey-Bass, 1993.
[107] U. K. Wiil: Experiences with HyperBase: A Hypertext Database Supporting Collaborative Work. SIGMOD Record 22(4): 19-25 (1993)
[108] K. H. Wilhelm, Use of an expert system to predict language learning success, System: An International Journal of Educational Technology and Applied Linguistics, 25:3, pp. 317-334, 1997.
[109] C. A. Wissick, T. Dubay, N. Helman, and D. L. Cates, Can University Faculty Affect Student Attitudes Toward Electronic Mail, International Journal of Educational Telecommunications, 1:1, pp. 71-84, 1995.
[110] O. R. Zaiane, M. Xin, and J. Han, Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs, Proceedings of Advances in Digital Libraries Conference (ADL'98), Santa Barbara, pp. 19-29, 1998.
[111] Y. Zheng, M. C. Pong: Using Statecharts to Model Hypertext. ECHT 1992: 242-250.
指導教授 陳國棟(Gwo-Dong Chen) 審核日期 2001-1-5
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