[1]尹相志, “SQL Server 2005 Data Mining 資料採礦與Office 2007,” 悅知文化, 2007
[2]阮明淑, ”ontology 應用於知識組織之初探,” 佛教圖書館館訊第三十二期, 2002
[3]李建中, ”本體論為基礎之電子化知識管理模式-以國軍資訊組織導入12207 與J2EE 為例,” 國防大學碩士論文, 2003[4]邱美珍, “決策樹學習法中連續屬性之分類研究,” 中原大學資訊工程研究所碩士論文, 1996[5]張百慈, “以卡瑞爾學習模組為基礎建立智慧型電腦輔助教學之架構,” 資訊與教育學刊, 1996[6]陳年興, ”數位學習倫理與實務,” 博碩, 2006
[7]陳新豐, ”多媒體線上適性測驗系統發展及其相關研究,” 國立台南師範學院未出版的碩士論文, 1998[8]陳薇如, “運用學習歷程探勘之適性化數位學習評量管理系統,” 華梵大學資訊管理學系碩士論文, 2007[9]程勝章, ”以職能為基礎的數位學習評估系統之建置,” 國立中正大學資訊管理所碩士論文, 2005[10]曾憲雄, “資料探勘,” 旗標, 2006
[11]劉惠如, “整合式網路教學之教學設計與評量,” 國立中山大學資訊管理研究所碩士論文, 1999[12]劉晨鍾, ”網路學習歷程之知識探索學習效能評鑑之工具,” 國立中央大學資訊工程研究所博士論文, 2000
[13]戴伶娟, “遠距教學之學習評估與適性化教學系統,” 淡江大學資訊工程學系碩士論文, 2000[14]簡茂發, “命題方法與試題分析,” 國教輔導, Vol.31, No.1,pp.2-13, 1991[15]M. J. A. Berry, and G. Linoff, Data Mining Techniques : For Marketing Sale and Customer Support,” Wiley, New York, USA, 1997.
[16]S. Bodjanova, “Exploratory Analysis of Empirical Frequency Distributions Based on Partition Entropy, “ Information Sciences, Vol.121, pp.135-147, 1999.
[17]J. G. Carbonell, Y. Yang, R. D. Brown, T. Pierce, B. T. Archibald, and X. Liu, “Learning Approaches for Detecting and Tracking News Event,” IEEE Intellingent Systems and Their Applications, pp. 32-43,1999.
[18]Chandrasekaran, et. al “What are Ontologies, and Why Do We Need Them? ,” IEEE Intelligent Systems, vol. 14, no. 1, 1999.
[19]M. S. Chen, J. Han, and P. S. Yu, “Data Mining: An Overview from Database Perspective,” IEEE Trans. on Knowledge and Data Eng., Vol. 8, No. 5, pp. 866–882, Dec. 1996.
[20]Town, Christopher; Sinclair, David, “Language-based querying of image collections on the basis of an extensible ontology,” Image and Vision Computing Volume: 22, Issue: 3, pp. 251-267 , March 1, 2004.
[21]Deborah L. McGuinness, “OWL Web Ontology Language Overview,” W3C Recommendation , 10 February 2004.
[22]P. Duval, A. Merceron, C Rinderknecht, M. Scholl, “LeVinQam: a question answering mining platform, “Proceedings of the Fifth International Conference on Information Technology Based Higher Education and Training, pp. 250-255, 2004.
[23]J. Elder IV, and D. Pregibon, “A statics perspective on Knowledge discovery in databases, “ AAAI/MIT Press, pp. 83-115, 1996.
[24]R. L. Ebel, & D. A. Frisbie,. Essentials of educational measurement. 5th ed., Englewood Cliffs, NJ: Prentice-Hall.,1991.
[25]U. M. Fayyad, “Data Mining and Knowledge Discovery : Making Sense out of Data, “ IEEE Expert Vol. 11, No.5, pp. 20-25, 1996.
[26]M. J. Gierl, J. P. Leighton, S. M. Hunka, “Exploring the logic of Tatsuoka’s Rule-Space Model for test development and analysis.” Educational Measurement: Issues and Practice, pp. 34-44, 2000.
[27]T. R. Gruber. “A translation approach to portable ontologies ,” Knowledge cquisition, 5(2):199-220, 1993.
[28]Tom Gruber (2008), “Ontology,” To appear in the Encyclopedia of Database Systems, Ling Liu and M. Tamer Özsu (Eds.), Springer-Verlag, 2008.
[29]Nicola Guarino, “Formal Ontology and Information Systems,” Proceedings of FOIS’98, Trento, Italy, Amsterdam, IOS Press, pp. 3-15 ,6-8 June 1998.
[30]Irvin R. Katz, Michael E. Martinez, Kathleen M. Sheehan and Kikumi K. Tatsuoka, “Extending the Rule Space Model to a Semantically-Rich Domain: Diagnostic Assessment in Architecture,” Educational Testing Service Report, October 1993.
[31]Ron Kohavi, and J Ross Quinlan, “Decision-tree discovery,“ In Will Klosgen and Jan M. Zytkow, editors, Handbook of Data Mining and Knowledge Discovery, Oxford University Press, chapter 16.1.3, pp. 267-276, 2002.
[32]Menucha, Birenbaum, Anthony E. Kelly and Kikumi K. Tatsuoka, “Diagnosing Knowledge States in Algebra Using the Rule Space Model”, Educational Testing Service Report, October 1992.
[33]N.F. Noy and D.L. McGuinness, “Ontology Development 101: A Guide to Creating Your First Ontology,” 2000.
[34]C. K. Ogden and I. A. Richards “The Meaning of Meaning,” Ogden Semiotic Triangle (aka Semantic Triangle) Figure taken from page 11, 1923.
[35]J. R. Quinlan, “Simplifying Decision Trees,“ Int . J . Man-Mach . Studies, vol. pp. 221-234, 1987.
[36]J. R. Quinlan, “Induction of Decision Trees, “Machine Learning,I, pp. 81-106, 1986.
[37]J. R. Quinlan, “Improved Use of Continuous Attributes in C4.5,“Journal of Artificial Intelligence Research. 4, pp. 77-90, 1996.
[38]J. R. Quinlan, “Introduction of decision trees,” Machine Learning, vol. 1, no. 1, pp. 81-106, Mar. 1986.
[39]Barry Smith, “Preprint version of chapter Ontology,” in L. Floridi (ed.),Blackwell Guide to the Philosophy of Computing and Information, Oxford: Blackwell, pp. 155–166, 2003.
[40]Staab, S., et. al “Why evaluate ontology technologies? Because it works! ,” Intelligent Systems, IEEE, vol. 19, no. 4, pp. 74-81, 2004.
[41]J. Shafer, R. Agrawal, and M. Mehta, “SPRINT. A Scalable Parallel Classifier for Data Mining,” In Proc.1996.Int. Conf. Very Large Data Bases, pp. 544-555, September 1996.
[42]K. K. Tatsuoka, R. Baillie, & Y. YAMAMOTO, “SIGNBUG 2: An error diagnostic computer program for signed-number arithmetic on the PLATO ® system.,” Urbana-Champaign: Computer-based Education Research Laboratory, University of Illinois, 1982.
[43]K. K. Tatsuoka,, M. Birenbaum, M. M. Tatsuoka, & R. Baillie, “A psychometric approach to error analysis on response patterns,” (Research Report 80-3-ONR). Urbana, I11.: University of Illinois, Computer-based Education Research Laboratory, 1980.
[44]K. K. Tatsuoka, “An approach to assessing the seriousness of error types and predictability of future performance,” (Research Report 81-1-ONR). Urbana, 111, University of Illinois, Computer-based Education Research Laboratory, February 1981.
[45]K. K. Tatsuoka, “Rule Space: An Approach for Dealing with Misconceptions based on Item Response Theory”, Journal of Educational Measurement, Vol. 20, No. 4, pp. 345-354, 1983.
[46]K. K. Tatsuoka and Maurice M. Tatsuoka, “Bug distribution and statistical pattern classification”, The Psychometric Society, Vol. 52, No. 2, pp. 193-206, 1987.
[47]G. L. Vygodskaya, “Vygotsky and problems of special education,” in the Remedial and Special Education, Vol. 20, No. 6, pp. 330 - 332, 1999.
[48]G. L. Vygodskaya, “Vygotsky and problems of special education,” in the Remedial and Special Education, Vol. 20, No. 6, pp. 330 - 332, 1999.
[49]L. S. Vygotsky, “Mind in Society, The Development of Higher Psychological Processes,” M. Cole, V. John-Steiner, S. Scribner and E. Souberman, Editors, Cambridge, Cambridge University Press, 1978.
[50]J. C. Winnips, “Scaffolding by design: A Model for WWW-based Learner Support,” Dissertation. Enschede: University of Twente, 2001
[51]J. C. Winnips, &Collis, B Examples of scaffolding in the Practice of tele-learning environment. Presentation at EDMEDIA ’99, Seattle, WA [WWW document] URL http://scaffolding.edte.utwente.nl, 1999.
[52]J. C. Winnips, Gervedink Nijhuis G., Het vak ISM-1 door de jaren heen: Naar een WWW-omgeving met voortgangsondersteuning [The course ISM-1 through the years: Towards a WWW environment with progress support]. In J. M. Pieters, T. Plomp & L. Odenthal (Eds.), 20 jaar Toegepaste Onderwijskunde: Een Kaleidoscopiscb overzicbt van Twents onderwijskunding onderzoek [20 years of Educational Science and Technology: A Kaleidoscopic overview of Educational Research in Twente]. Enschede: Twente University Press, pp. 131-142, 1999
[53]J. C. Winnips, B. A. Collis, Moonen, J. J. C. M.. Implementing a Scaffolding-by-Design Model in a WWW-based course considering costs and benefits. In J. Bordeau & R. Heller (Eds.), Processing of ED-MEDIA 2000,. Charlottesville, VA: AACE , pp. 1147-1152, 2000.
[54]S .Y. Yang, C. W. Wu, and C. S. Ho, “Using Rule Mining and Behavior Prediction Techniques in Web Information Query Processing,” Proc. of the 6th Conference on Artificial Intelligence and Applications, Kaohsiung, Taiwan, pp. 574-579, 2001.
[55]S.Y. Yang, Y.C. Chu, and C.S. Ho, “Ontology-Based Solution Integration for Internet FAQ Systems,” Proc. of the 6th Conference on Artificial Intelligence and Applications, Kaohsiung, Taiwan, pp. 52-57, 2001.
[56]S.Y. Yang and C.S. Ho, “FAQ-master: An Intelligent Web Information System for PCDIY,” Proc. of 2004 National Workshop on Internet and Communication Technology, Taipei, Taiwan, pp. 143-148, 2004.
[57]H. Zhao, R. Sudha, “Constrained Cascade Generalization of Decision Trees, “IEEE Transactions on Knowledge and Data Engineering, pp. 727-739, 2004.
[58]TIOBE, “ http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html”
[59]Sun昇陽公司, “http://java.sun.com/”
[60]CRN, “http://www.crn.in/”