參考文獻 |
Aïmeur, E., Dufort, H., Leibu, D., and Frasson, C. (1997). Some justifications for the learning by disturbing strategy. In Proceedings of the Eighth World Conference on Artificial Intelligence in Education, 119-126. IOS Press.
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of the Learning Sciences, 4 (2) 167-207.
Amory, A. (2007). Game object model version 2: a theoretical framework for educational game development. Educational Technology Research and Development, 55(1), 51-77.
Bandai (1996). Tamagotchi keychain toy. Website URL: http://www.bandai.com
Barnard, Y. F. & Sandberg, J. A. C. (1996). Self-Explanations, do we get them from our students?, Proceedings of European Conference on AI in Education, Lisbon, 115-121.
Baylor, A. L., Shen, E., & Huang, X. (2003). Which Pedagogical Agent do Learners Choose? The Effects of Gender and Ethnicity. Proceedings of ELearn (World Conference on ELearning in Corporate,Government, Healthcare, & Higher Education). Phoenix, Nov., 2003.
Baylor, A. L., Shen, E., & Warren, D. (2004). Supporting learners with math anxiety: The impact of pedagogical agent emotional and motivational support. Workshop on Social and Emotional Intelligence in Learning Environments, International Conference on Intelligent Tutoring Systems, Maceió, Brazil.
Beck, A. & Katcher, A. (1996). Between pets and people. West Lafayette, IN: Purdue University Press.
Bickmore, T. (2003). Relational Agents: Effecting Change Through Human-Computer Relationships, Ph.D. Thesis, MIT Program in Media Arts and Science.
Bickmore, T. & Picard, R. W. (2004). Establishing and Maintaining Long-Term Human-Computer Relationships, Trans. on Computer-Human Interaction, 12(2), 293-327.
Biswas, G., Leelawong, K., Schwartz, D. & Vye, N. (2005). Learning by Teaching: A New Agent Paradigm for Educational Software. Applied Artificial Intelligence, 19, 363-392.
Biswas, G., Katzlberger, T., Brandford, J. Schwartz, X., & TAG-V. (2001). Extending intelligent learning environments with teachable agents to enhance learning. Artificial Intelligence in Education, J.D. Moore et al. (Eds.) IOS Press, 389–397.
Bloom, B. S. (1984). The 2 Sigma Problem: the search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13, 4–16.
Brophy, S., Biswas, G., Katzlberger, T., Bransford, J., & Schwartz, D. (2000). Teachable agents: Combining insights from learning theory and computer science. International Conference on AI in Education, Le Mans, France.
Bull, S., Greer, J., McCalla, G., Kettel, L. & Bowes, J. (2001). User Modelling in I-Help: What, Why, When and How, in M. Bauer, P.J. Gmytrasiewicz & J. Vassileva (eds), User Modeling 2001: 8th International Conference, Springer-Verlag, Berlin Heidelberg, 117-126.
Bull, S. & Nghiem, T. (2002). Helping Learners to Understand Themselves with a Learner Model Open to Students, Peers and Instructors, in P. Brna & V. Dimitrova (eds), Proceedings of Workshop on Individual and Group Modelling Methods that Help Learners Understand Themselves, International Conference on Intelligent Tutoring Systems 2002, 5-13.
Bull, S. & Pain, H. (1995). 'Did I say what I think I said, and do you agree with me?': Inspecting and Questioning the Student Model, in J. Greer (ed), Proceedings of World Conference on Artificial Intelligence in Education, Association for the Advancement of Computing in Education (AACE), Charlottesville, VA, 1995, 501-508.
Bull, S. (2004). Supporting Learning with Open Learner Models, Proceedings of 4th Hellenic Conference with International Participation: Information and Communication Technologies in Education, Athens, Greece. Keynote.
Bull, S. & McKay, M. (2004). An Open Learner Model for Children and Teachers: Inspecting Knowledge Level of Individuals and Peers, in J.C. Lester, R.M. Vicari & F. Paraguacu (eds), Intelligent Tutoring Systems: 7th International Conference, Springer-Verlag, Berlin Heidelberg, 646-655.
Bull, S. & Kay, J. (2007). Student Models that Invite the Learner In: The SMILI Open Learner Modelling Framework, International Journal of Artificial Intelligence in Education 17(2), 89-120.
Bull, S., & McEvoy, A. (2003). An Intelligent Learning Environment with an Open Learner Model for the Desktop PC and Pocket PC. In U. Hoppe, F. Verdejo & J. Kay (Eds.) Artificial Intelligence in Education: Shaping the Future of Learning through Intelligent Technologies (pp. 389-391). Amsterdam: IOS Press.
Bull, S. & Kay, J. (2005). A Framework for Designing and Analysing Open Learner Modelling, Proceedings of Workshop on Learner Modelling for Reflection, International Conference on Artificial Intelligence in Education 2005, 81-90.
Burton, R. R. & Brown, J. S. (1976). A tutoring and student modeling paradigm for gaming environment. In Colman, R., & Lorton, P. Jr. (Eds), Computer Science and Education, ACM SIGCSE Bulletin, 8(1), 236-246.
Chan, T. W. & Baskin, B. (1988). "Studying With the Prince" the Computer as A Learning Companion. Proceedings of International Conference on Intelligent Tutoring, ITS88, Montreal, Canada, 194-200.
Chan, T. W. & Baskin, B. (1990). Learning Companion Systems. In C. Frasson & G. Gauthier (Eds.), Intelligent Tutoring Systems. New Jersey:Ablex, 6-33
Chan, T.W., Chung, Y.L., Ho, R.G., Hou, W.J. & Lin, G.L. (1992). Distributed learning companion systems - WEST revisited. The 2nd International Conference of Intelligent Tutoring Systems, C. Frasson, G. Gauthier & G. McCalla (Eds.). Lecture Notes in Computer Science, 608, Springer-Verlag, 643-650.
Chan, T. W. (1996). Learning Companion Systems, Social Learning Systems, and the Global Social Learning Club. International Journal of Artificial Intelligence in Education, 7(2), 125-159.
Chan, T. W., & Chou, C. Y. (1997). Exploring the Design of Computer Supports for Reciprocal Tutoring. International Journal ofArtificial Intelligence in Education, 8, 1–29.
Chang, S. B., Deng, Y. C., Cheng, H. N.H., Liao, H. C., Yu, F. Y., & Chan, T. W. (2007). Implementation and Evaluation of EduBingo for Arithmetic Drill. The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (pp.99-103). Los Alamitos, CA: IEEE Computer Society.
Chen, Z. H., Deng, Y. C., Chou, C. Y., & Chan, T. W. (2005a). Motivating Learners by Nurturing Animal Companions: My-Pet and Our-Pet, Proceedings of 12th International Conference on Artificial Intelligence in Education, Amsterdam, Netherlands, 136-143.
Chen, Z. H., Deng, Y. C., Chou, C. Y., & Chan, T. W. (2005b). Animal companions as motivators for teammates helping each other learn, Proceedings of 5th International Conference on Computer Supported Collaborative Learning, Taipei, Taiwan, 43-47.
Chen, Z. H., Chou, C. Y., Deng, Y. C., & Chan, T. W. (2007). Active Open Learner Models as Animal Companions: Motivating Children to Learn through Interacting with My-Pet and Our-Pet. International Journal of Artificial Intelligence in Education, 17(2), 145-167.
Chen, Z. H., Liao, C. C. Y., & Chan, T. W. (2007). My-Pet-and-Her-Friends: identifying educational roles of animal companions in game-based learning environment. The first IEEE international workshop on digital game and intelligent toy enhanced learning (DiGiTEL 2007), JhongLi, Taiwan.
Cheng, H. N. H., Deng, Y. C., Chang, S. B., & Chan, T. W. (2007). EduBingo: Design of Multi-level Challenges of a Digital Classroom Game. The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (pp.11-18). Los Alamitos, CA: IEEE Computer Society.
Chou, C. Y., Chan, T. W. & Lin, C. J. (2003). Redefining the Learning Companion: the Past, Present, and Future of Educational Agents. Computers and Education, 40, 255-269.
Corbett, A. T. & Bhatnagar, A. (1997). Student Modeling in the ACT Programming Tutor: Adjusting a Procedural Learning Model with Declarative Knowledge, User Modeling: Proceedings of 6th International Conference, Springer Wien New York, 243-254.
Crawford, C. (1982). The art of computer game design. Berkeley, CA: Osborne/McGraw-Hill.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco: Jossey-Bass.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
de Vicente, A., & Pain, H. (1999). Motivation self-report in ITS. Proceedings of the Ninth World Conference on Artificial Intelligence in Education, 648–650.
de Vicente, A., & Pain, H. (2002). Informing the detection of the students' motivational state: an empirical study. Proceedings of the Sixth International Conference on Intelligent Tutoring Systems, 933-943.
del Soldato, T. and du Boulay, B. (1995). Implementation of motivational tactics in tutoring systems. Journal of Artificial Intelligence in Education, 6(4):337–378.
Davis, J. M., K. Leelawong, K. Belynne, R. Bodenheimer, G. Biswas, N. Vye and J. Bransford (2003). Intelligent User Interface Design for Teachable Agent Systems. International Conference on Intelligent User Interfaces, Miami, Florida (pp. 22-33). The Association for Computing Machinery.
Dempsey, J. V., Rasmussen, K., Haynes, L. L., & Casey, M. S. (1997). An Exploratory Study of Forty Computer Games (COE Technical Report No. 97-2): University of South Alabama.
Dickey, M. (2007). Game design and learning: a conjectural analysis of how massively multiple online role-playing games (MMOROGs) foster intrinsic motivation. Educational Technology & Society, 55, 253-273.
Dillenbourg, P., & Self, J. (1992). People power: a human–computer collaborative learning system. C. Frasson, G. Gauthier, & G. McCalla (Eds.). The 2nd International Conference of Intelligent Tutoring Systems, Lecture Notes in Computer Science, 608, Springer-Verlag, 651–660.
Dimitrova, V. (2003). StyLE-OLM: Interactive Open Learner Modelling, International Journal of Artificial Intelligence in Education 13(1), 35-78.
Dweck (2000). Self-theories:Their Role in Motivation, Personality, and Development, Essays in Social Psychology. Philadelphia, PA: Psychology Press.
Elliott, C., Rickel, J., & Lester, J. (1999). Lifelike Pedagogical Agents and Affective Computing: An Exploratory Synthesis. Artificial Intelligence Today, 1999, 195-211.
Ertmer, P. A., & Newby, T. J. (1996). The Expert Learner: Strategic, Self-Regulated, and Reflective. Instructional Science, 24:1-24.
Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York: Palgrave/Macmillan.
Grand, S., Cliff, D., & Malhotra, A. (1997). Creatures: Artificial Life Autonomous Software Agents for Home Entertainment. In Proceedings of the First Intl. Conference on Autonomous Agents, Minneapolis, ACM Press, 22-29.
Gulz, A. (2004). Benefits of Virtual Characters in Computer Based Learning Environments: Claims and Evidence. International Journal of Artificial Intelligence in Education, 14, 313-334.
Gulz, A. (2005). Social enrichment by virtual characters – differential benefits. Journal of Computer Assisted Learning 21(6), 405-418.
Greer, J., McCalla, G., Collins, J., Kumar, V., Meagher, P. & Vassileva, J. (1998). Supporting Peer Help and Collaboration in Distributed Workplace Environments, International Journal of AI and Education. 9, 159-177,
Greer, J., McCalla, G., Vassileva, J., Deters, R., Bull, S. & Kettel, L. (2001). Lessons Learned in Deploying a Multi-Agent Learning Support System: The I-Help Experience, in J.D. Moore, C.L. Redfield & W. L. Johnson (eds), Proceedings of International Conference on Artificial Intelligence in Education, IOS Press, Amsterdam, 410-421.
Graesser, A. C., Ventura, M., Jackson, G. T., Mueller, J., Hu, X., & Person, N. (2003). The impact of conversational navigational guides on the learning, use, and perceptions of users of a web site. Proceedings of the AAAI Spring Symposium 2003 on Agent-mediated Knowledge Management. AAAI Press.
Goodman, B., Soller, A., Linton, F., & Gaimari, R. (1998). Teaching tactics and dialog in AutoTutor. International Journal of Artificial Intelligence in Education, 12, 257-279.
Höök, K., Persson, P., & Sjölinder, M. (2000). Evaluating users' experience of a character-enhanced information space. AI communications: the European Journal on Artificial Intelligence 13, 3, 195-212.
Hietala, P., & Niemirepo, T. (1998). The Competence of Learning Companion Agents. International Journal of Artificial Intelligence in Education, 9, 178-192.
Johnson, W. L., Rickel, J. W. and Lester, J. C. (2000). Animated pedagogical agents: face-to-face interaction in interactive learning environments, International Journal of Artificial Intelligence in Education, 11, 47-78.
Kay, J. (1995). The UM Toolkit for Cooperative User Modelling. User Modelling and User Adapted Interaction 4, 149-196.
Kay, J, (1997) Invited keynote address, Learner know thyself: student models to give learner control and responsibility Halim, Z, T Ottomann, Z Razak, (eds). ICCE'97 International Conference on Computers in Education, 17-24.
Keller, J. M. (1987a). Strategies for stimulating the motivation to learn. Performance & Instruction, 26 (8), 1-7.
Keller, J. M. (1987b). Development and use of the ARCS Model of instructional design. Journal of Instructional Development, 10 (3), 2-10.
Leelawong, K., Davis, J., Vye, N., Biswas, G., Schwartz, D., Belynne, T., Katzlberger, T., & Bransford, J. (2002). The effects of feedback in supporting learning by teaching in a teachable agent environment. In P. Bell, R. Stevens, & T. Satwicz (Eds.), Keeping Learning Complex: The Proceedings of the Fifth International Conference of the Learning Sciences (ICLS) (pp. 245-252). Mahwah, NJ: Erlbaum.
Lepper, M., & Malone, T. (1987). Intrinsic motivation and instructional effectiveness in computer-based education. In R. Snow & M. Farr (Eds.), Aptitude, learning, and instruction (Vol. 3, pp. 255-286). Hillsdale, NJ: Erlbaum.
Lester, J., Converse, S., Kahler, S, Barlow, S., Stone, B., & Bhoga, R. (1997). The Persona Effect: Affective Impact of Animated Pedagogical Agents. In Proceedings of CHI 97, Atlanta.
Lester, J.C., Towns, S.G. and Fitzgerald, P.J. (1999). Achieving affective impact: visual emotive communication in lifelike pedagogical agents, 10, 278-291.
Levinson, B. M. (1969). Pet-oriented child psychotherapy. Springfield, Ill: Charles C. Thomas.
Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333-369.
Malone, T. W., & Lepper, M. R. (1987). Making learning fun: A taxonomy of intrinsic motivations for learning. In R. E. Snow & M. J. Farr (Eds.), Aptitude, learning, and instruction, Ⅲ: Conative and affective process analysis. Hillsdale, NJ: Lawrence Erlbaum Associates, 223-225.
Manske, M., & Conati, C. (2005) Modeling Learning in Educational Games. Proceedings of the International Conference on Artificial Intelligence in Education, 411-418.
Melson, G. F. (2001). Why the wild things are: Animals in the lives of children. Cambridge, MA: Harvard University Press.
Mitrovic, A. & Martin, B. (2002). Evaluating the Effects of Open Student Models on Learning, in P. De Bra, P. Brusilovsky & R. Conejo (eds), Adaptive Hypermedia and Adaptive Web-Based Systems, Proceedings of Second International Conference, Springer-Verlag, Berlin Heidelberg, 296-305.
Mitrovic, A., & Martin, B. (2007). Evaluating the effect of open student models on self-assessment. International Journal of Artificial Intelligence in Education, 17(2): 121-144, 2007.
Myers, O. E. (1998). Children and animals. Boulder, CO: Westview Press.
Norman, D. A. (1993). Things That Make Us Smart: Defending Human Attributes in the Age of the Machine. New York: Addison-Wesley Publishing.
Nichols, D. (1994). Issues in designing learning by teaching systems. In Proceedings ofthe East-West International Conference on Computer Technologies in Education (EW-ED’94), 176–181.
Pesce, M. (2000). The playful world: how technology is transforming our imagination. New York: Random House.
Picard, R. W. (1997). Affective Computing, MIT Press, Cambridge.
Prensky, M. (2001). Digital game-based learning. NY: McGraw-Hill.
PF. Magic / Mindscape (1995). Dogz and Catz: Your Virtual Petz, Babyz. Website URLs: http://www.petz.com and http://www.babyz.net
Ransome, P (2005) Work, Consumption and Culture: Affluence and Social Change in the Twenty First Century, London: Sage.
Reeves, B., & Nass, C. (1996). The Media Equation: How People Treat Computers, Television and New Media Like Real People and Places. New York: CSLI.
Rieber, L. P. (1996). Seriously considering play: Designing interactive learning environments based on the blending of microworld, simulations, and games. Educational Technology Research and Development, 44(2), 43-58.
Ryokai, K., Vaucelle, C., & Cassell, J. (2003). Virtual peers as partners in storytelling and literacy learning. Journal of Computer Assisted Learning, 19, 195-208.
Slavin, R. E. (1990) Cooperative learning: Theory, research, and practice. Englewood Cliffs, NJ: Prentice-Hall.
Schunk, D. H., & Zimmerman, B. J. (1998). Self-Regulated Learning: From Teaching to Self-Reflective Practice. New York: Guilford Press.
Self, J. A. (1974). Student models in computer-aided instruction. International Journal ofMan–Machine Studies, 6, 261-276.
Self, J. A. (1988). Bypassing the intractable problem of student modeling. Proceedings of Intelligent Tutoring Systems, 88, Montreal, Canada.
Self, J. A. (1999). The defining characteristics of intelligent tutoring systems research: ITSs care, precisely. International Journal of Artificial Intelligence in Education, 10(3-4), 350-364.
Sony Electronics (1999). Aibo robot dog. Website URL: http://www.world.sony.com/ robot/get/meet.html
Stern, A. (2002). Creating Emotional Relationships With Virtual Characters. Chapter in Emotions in Humans and Artifacts, In R. Trappl, P. Petta, and S.Payr (Eds.), MIT Press.
Tanimoto, S. (2005). Dimensions of transparency in open learner models. Workshop on Learner Modelling for Reflection, to Support Learner Control, Metacognition and Improved Communication between Teachers and Learners, 12th International Conference on Artificial Intelligence in Education, Amsterdam, the Netherlands.
Tholander, J., Karlgren, K., Rutz, F., Johannesson, P., & Ramberg, R. (1999). Design and Evaluation of an Apprenticeship Setting for Learning object-Oriented Modelling. 7th International Conference on Computers in Education, Chiba, Japan.
Tiger Electronics (1998). Furby toy. Website URL: http://www.furby.com
Trappl, R., Petta, P., and Payr, S., eds. (2001). Emotions in Humans and Artifacts. MIT Press.
Vassileva, J., Greer, J., & McCalla, G. (1999). Openness and disclosure in multi-agent learner models. In R. Morales, H. Pain, S. Bull and J. Kay (eds), Proceedings of the Workshop on Open, Interactive, and Other Overt Approaches to Learner Modelling, held in conjunction with AIED 99, Lemans, France.
Vassileva, J., Deters, R., McCalla, G. Greer, J., Bull, S. & Kettel, L. (2001). Deploying I-Help: Some Software Engineering and Social Lessons, in J. Vassileva (ed), Proceedings of Workshop on Multi-Agent Based Learning Environments, International Conference on Artificial Intelligence in Education 2001.
Vygotsky, L.S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
Van Labeke, N., Brna, P. and Morales, R. (2007). Opening up the Interpretation Process in an Open Learner Model. 17(3), 305-338.
Weiner, B. Niernberg, R., & Goldstein, M. (1976). Social learning (locus of control) versus attributional (causal stability) interpretations of expectancy of success. Journal of Personality, 44, 52–68.
Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92(4), 548-573.
Weiner, B. (1992). Attributional theories of human motivation. In B. Weiner (Ed.), Human motivation: Metaphors, theories, and research. Newbury Park, CA: Sage.
Wenger, E. (1987). Artificial Intelligence and Tutoring Systems. Los Altos, CA: Morgan Kaufmann.
Webster, N. C. (1998), Tamagotchi, Advertising Age, 69(26), 43.
Weber, G. & Brusilovsky, P. (2001). ELM-ART: An Adaptive Versatile System for Web-Based Instruction, International Journal of Artificial Intelligence in Education 12(4), 351-384.
Wu, W., Cheng, H. N.H., Chiang, M. C., Deng, Y. C., Chou, C. Y., Tsai, C. C., & Chan, T. W. (2007). AnswerMatching: A Competitive Learning Game with Uneven Chance Tactic. The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (pp.89-96). Los Alamitos, CA: IEEE Computer Society.
Zapata-Rivera, J. D. & Greer, J. E. (2002). Exploring Various Guidance Mechanisms to Support Interaction with Inspectable Learner Models, Intelligent Tutoring Systems: 6th In-ternational Conference, Springer-Verlag, Berlin, Heidelberg, 442-452. |