Intelligent Tutoring Systems
First published: 27 December 1999
Abstract
The sections in this article are
- 1 Some Background
- 2 Systems Categorized by Domain/Skill
- 3 Discussion
Bibliography
- 1 J. A. Kulik, C.-L. C. Kulik, Timing of feedback and verbal learning, Rev. Educ. Res., 58 (1): 79–97, 1988.
- 2
R. J. Siedel,
O. C. Park,
An historical perspective and a model for evaluation of intelligent tutoring systems,
J. Educ. Comput. Res.,
10 (2):
103–128,
1994.
10.2190/XUWL-G11V-9LFX-67XP Google Scholar
- 3 E. Wenger, Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge, Los Altos, CA: Morgan Kaufmann, 1987.
- 4 J. R. Anderson, B. J. Reiser, The LISP tutor, Byte, 10: 159–175, 1985.
- 5
D. C. Merrill et al.,
Effective tutoring techniques: A comparison of human tutors and intelligent tutoring systems,
J. Learn. Sci.,
2 (3):
277–306,
1992.
10.1207/s15327809jls0203_2 Google Scholar
- 6 M. Twidale, Redressing the balance: The advantages of informal evaluation techniques for intelligent learning environments, J. Artif. Intell. Educ., 4 (2/3): 155–178, 1993.
- 7 J. R. Anderson, C. F. Boyle, B. J. Reiser, Intelligent tutoring systems, Science, 228: 456–462, 1985.
- 8 M. A. Mark, J. E. Greer, The VCR Tutor: Evaluating instructional effectiveness, Proc. 13th Annu. Conf. Cogni. Sci. Soc., 1991, pp. 564–569.
- 9 J. S. Brown, A. Collins, P. Duguid, Situated cognition and the culture of learning, Educ. Researcher, 18 (1): 32–41, 1989.
- 10 W. J. Clancey, Qualitative student models, Annu. Rev. Comput. Sci., 1: 381–450, 1986.
- 11
J. McKendree,
Effective feedback content for tutoring complex skills,
Hum. Comput. Interact.,
5 (4):
381–413,
1990.
10.1207/s15327051hci0504_2 Google Scholar
- 12
V. Shute,
R. Glaser,
A large scale evaluation of an intelligent discovery world: Smithtown,
Interact. Learn. Environ.,
1:
51–77,
1990.
10.1080/1049482900010104 Google Scholar
- 13 P. A. Cohen, J. A. Kulik, C.-L. C. Kulik, Educational outcomes of tutoring: A meta-analysis of findings, Amer. Educ. Res. J., 19: 237–248, 1982.
- 14
B. S. Bloom,
The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring,
Educ. Researcher,
13 (6):
4–16,
1984.
10.3102/0013189X013006004 Google Scholar
- 15 D. C. Littman, E. Soloway, Evaluating ITSs: The cognitive science perspective, in M. C. Polson and J. J. Richardson (eds.), Foundations of Intelligent Tutoring Systems, Hillsdale, NJ: Erlbaum, 1988, pp. 209–242.
- 16 G. D. Hume et al., The use of hints as a tutorial tactic, Proc. 15th Annu. Conf. Cogni. Sci. Soc., 1993, pp. 563–568.
- 17 S. P. Lajoie, A. Lesgold, Apprenticeship training in the workplace: Computer coached practice environment as a new form of apprenticeship, Mach.-Mediated Learn., 3: 7–28, 1989.
- 18 M. A. Mark, J. E. Greer, Evaluation methodologies for intelligent tutoring systems, J. Artif. Intell. Educ., 4 (2/3): 129–153, 1993.
- 19 E. De Corte, Changing views of computer-supported learning environments for the acquisition of knowledge and thinking skills, in S. Vosniadou et al. (eds.), International Perspectives on the Design of Technology-Supported Learning Environments, Mahwah, NJ: Erlbaum, 1996, pp. 129–145.
- 20 K. Reusser, From cognitive modeling to the design of pedagogical tools, in S. Vosniadou et al. (eds.), International Perspectives on the Design of Technology-Supported Learning Environments, Mahwah, NJ: Erlbaum, 1996, pp. 81–103.
- 21 K. VanLehn, Student modeling, in M. C. Polson and J. J. Richardson (eds.), Foundations of Intelligent Tutoring Systems, Hillsdale, NJ: Erlbaum, 1988, pp. 55–78.
- 22 M. C. Polson, J. J. Richardson (eds.), Foundations of Intelligent Tutoring Systems, Hillsdale, NJ: Erlbaum, 1988.
- 23 R. W. Chu, C. M. Mitchell, P. M. Jones, Using the operator function model and OFMspert as the basis for an intelligent tutoring system: Towards a tutor/aid paradigm for operators of supervisory control systems, IEEE Trans. Syst. Man Cybern., 25: 1054–1075, 1995.
- 24 T. Govindaraj et al., Training for diagnostic problem solving in complex engineered systems: Modeling, simulation, intelligent tutors, in W. B. Rouse (ed.), Human/Technology Interaction in Complex Systems, vol. 8, Greenwich, CT: JAI Press, 1995, pp. 1–66.
- 25 S. Katz, A. Lesgold, The role of the tutor in computer-based collaborative learning situations, in S. P. Lajoie and S. J. Derry (eds.), Computers as Cognitive Tools, Hillsdale, NJ: Erlbaum, 1993, pp. 289–317.
- 26 R. R. Burton, J. S. Brown, An investigation of computer coaching for informal learning activities, in D. Sleeman and J. S. Brown (eds.), Intelligent Tutoring Systems, New York: Academic Press, 1982, pp. 79–98.
- 27 A. T. Corbett, J. R. Anderson, LISP Intelligent Tutoring System: Research in skill acquisition, in J. H. Larkin and R. W. Chabay (eds.), Computer-Assisted Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary Approaches, Hillsdale, NJ: Erlbaum, 1992, pp. 73–109.
- 28 A. Collins, Design issues for learning environments, in S. Vosniadou et al. (eds.), International Perspectives on the Design of Technology-Supported Learning Environments, Mahwah, NJ: Erlbaum, 1996, pp. 347–361.
- 29 P. J. Legree, P. D. Gillis, M. A. Orey, The quantitative evaluation of intelligent tutoring system applications: Product and process criteria, J. Artif. Intell. Educ., 4 (2/3): 209–226, 1993.
- 30 P. M. Fischer, H. Mandl, Improvement of the acquisition of knowledge by informing feedback, in H. Mandl and A. Lesgold (eds.), Learning Issues for Intelligent Tutoring Systems, New York: Springer, 1988, pp. 187–241.
- 31 L. J. Schooler, J. R. Anderson, The disruptive potential of immediate feedback, Proc. 12th Annu. Conf. Cogni. Sci. Soc., 1990, pp. 702–708.
- 32 M. Oliver, T. O’Shea, P. Fung, An empirical study into which style of representation works best for learners of modal logic, in B. du Boulay and R. Mizoguchi (eds.), Proc. AI-ED 97 World Conf. Artifi. Intell. Educ., Tokyo: IOS Press, 1997, pp. 371–379.
- 33 K. R. Koedinger, J. R. Anderson, Effective use of intelligent software in high school math classrooms, in S. Brna, S. Ohlsson, and H. Pain (eds.), AI-ED 93: Proc. 6th World Conf. Artifi. Intell. Educ., Charlottesville, VA: AACE, 1993, pp. 241–248.
- 34 J. Self, Computational mathetics: Towards a science of learning systems design [online], 1995. Available www: http://www.cbl.leeds.ac.uk/∼jas/cm.html
- 35
J. W. Schofield,
D. Evans-Rhodes,
B. R. Huber,
Artificial intelligence in the classroom: The impact of a computer-based tutor on teachers and students,
Social Sci. Comput. Rev.,
8 (1):
24–41,
1990.
10.1177/089443939000800104 Google Scholar
- 36 A. Lesgold, Assessment of intelligent training technology, in E. L. Baker and H. F. O’Neil, Jr. (eds.), Technology Assessment in Education and Training, Hillsdale, NJ: Erlbaum, 1994, pp. 97–116.
- 37 C. Stasz et al., An intelligent tutor for basic algebra: Perspectives on evaluation, Instructional Views of Intelligent Computer-Assisted Instruction: Data and Issues, Symp. Annu. Meet. Amer. Educ. Res. Association, San Francisco, March 1989.
- 38 V. J. Shute, J. W. Regian, Principles for evaluating intelligent tutoring systems, J. Artif. Intell. Educ., 4 (2/3): 245–271, 1993.
- 39 J. W. Regian, V. J. Shute, Evaluating intelligent tutoring systems, in E. L. Baker and H. F. O’Neil Jr. (eds.), Technology Assessment in Education and Training, Hillsdale, NJ: Erlbaum, 1994, pp. 79–96.
- 40 J. R. Anderson et al., Cognitive principles in the design of computer tutors, Proc. 6th Annu. Conf. Cogni. Sci. Soc., 1984, pp. 2–9.
- 41 J. R. Anderson, R. Farrell, R. Sauers, Learning to program in LISP, Cognit. Sci., 8: 87–129, 1984.
- 42 P. J. Legree, P. D. Gillis, Product effectiveness evaluation criteria for intelligent tutoring systems, J. Comput. Based Instruct., 18 (2): 57–62, 1991.
- 43 J. R. Anderson et al., Cognitive tutors: Lessons learned, J. Learn. Sci., 4 (2): 167–207, 1995.
- 44 A. T. Corbett, J. R. Anderson, The effect of feedback control on learning to program with the Lisp tutor, Proc. 12th Annu. Conf. Cogni. Sci. Soc., 1990, pp. 796–803.
- 45 B. J. Reiser et al., A graphical programming language interface for an intelligent LISP tutor, Proc. CHI’88, Conf. Hum. Factors Comput. Syst., 1988, pp. 39–44.
- 46 J. W. Connelly, An empirical investigation of the effective degrees of feedback content in GIL, an intelligent tutor for programming, unpublished manuscript, 1989.
- 47 V. Fix, S. Wiedenbeck, An intelligent tool to aid students in learning second and subsequent programming languages, Comput. Educ., 27 (2): 71–83, 1996.
- 48 F. Ng, G. Butler, J. Kay, An intelligent tutoring system for the Dijkstra Gries methodology, IEEE Trans. Softw. Eng., 21: 415–428, 1995.
- 49 R. Wertheimer, The geometry proof tutor: An “intelligent” computer-based tutor in the classroom, Math. Teacher, 84 (4): 308–317, 1990.
- 50 V. Aleven, K. D. Ashley, Teaching case-based argumentation through a model and examples: Empirical evaluation of an intelligent learning environment, in B. du Boulay and R. Mizoguchi (eds.), Proc. AI-ED 97 World Conf. Artifi. Intell. Educ., Tokyo: IOS Press, 1997, pp. 87–94.
- 51 D. Suthers et al., Belvedere: Engaging students in critical discussion of science and public policy issues, in J. Greer (ed.), AI-ED 95: Proc. 7th World Conf. Artifi. Intell. Educ., Washington, DC: Association Advancement Comput. Educ., 1995, pp. 266–273.
- 52 K. R. Koedinger, J. R. Anderson, Reifying implicit planning in geometry: Guidelines for model-based intelligent tutoring system design, in S. P. Lajoie and S. J. Derry (eds.), Computers as Cognitive Tools, Hillsdale, NJ: Erlbaum, 1993, pp. 15–45.
- 53 K. R. Koedinger et al., Intelligent tutoring goes to school in the big city, in J. Greer (ed.), AI-ED 95: Proc. 7th World Conf. Artifi. Intell. Educ., Washington, DC: Association Advancement Comput. Educ., 1995, pp. 421–428.
- 54 M. M. Sebrechts, From testing to training: Evaluating automated diagnosis in statistics and algebra, in C. Frasson, G. Gauthier, and G. I. McCalla (eds.), Intelligent Tutoring Systems, Berlin: Springer-Verlag, 1992, pp. 559–566.
- 55
L. Schauble et al.,
Causal models and experimentation strategies in scientific reasoning,
J. Learn. Sci.,
1 (2):
201–238,
1991.
10.1207/s15327809jls0102_3 Google Scholar
- 56 K. VanLehn, Conceptual and meta learning during coached problem solving, in C. Frasson, G. Gauthier, and A. Lesgold (eds.), ITS96: Proc. 3rd Int. Conf. Intell. Tutoring Systems, New York: Springer, 1996, pp. 29–47.
- 57 C. Conati, J. H. Larkin, K. VanLehn, A computer framework to support self-explanation, in B. du Boulay and R. Mizoguchi (eds.), Proc. AI-ED 97 World Conf. Artifi. Intell. Educ., Tokyo: IOS Press, 1997, pp. 279–286.
- 58 A. Lesgold et al., A coached practice environment for an electronics troubleshooting job, in J. Larkin and R. Chabay (eds.), Computer-Assisted Instruction and Intelligent Tutoring Systems: Shared Issues and Complementary Approaches, Hillsdale, NJ: Erlbaum, 1992, pp. 201–238.
- 59 A. Lesgold et al., Possibilities for assesment using computer-based apprenticeship environments, in J. W. Regian and V. J. Shute (eds.), Cognitive Approaches to Automated Instruction, Hillsdale, NJ: Erlbaum, 1992, pp. 49–80.
- 60 A. Lesgold, Ideas about feedback and their implications for intelligent coached apprenticeship, Mach.-Mediated Learn., 4: 67–80, 1994.
- 61 A. Lesgold et al., Extensions of intelligent tutoring paradigms to support collaborative learning, in S. Dijkstra, H. P. M. Krammer, and J. J. G. van Merriënboer (eds.), Instructional Models in Computer-Based Learning Environments, Berlin: Springer-Verlag, 1992, pp. 291–311.
- 62 S. P. Gott, A. Lesgold, R. S. Kane, Tutoring for transfer of technical competence, in S. Dijkstra et al. (eds.), Instructional Design: Vol II: Solving Instructional Design Problems, Mahwah, NJ: Erlbaum, 1997, pp. 221–250.
- 63 D. Suthers, A. Weiner, Groupware for developing critical discussion skills, in J. L. Schnase and E. L. Cunnius (eds.), Proc. CSCL ’95: 1st Int. Conf. Comput. Support Collaborative Learning, Mahwah, NJ: Erlbaum, 1995, pp. 341–348.
- 64 D. Wan, P. M. Johnson, Experiences with CLARE: A computer-supported collaborative learning environment, Int. J. Hum.-Comput. Stud., 41 (6): 851–879, 1994.
- 65 P. Dillenbourg, Distributing cognition over humans and machines, in S. Vosniadou et al. (eds.), International Perspectives on the Design of Technology-Supported Learning Environments, Mahwah, NJ: Erlbaum, 1996, pp. 165–183.
- 66 M. Alavi, Computer mediated collaborative learning: An empirical evaluation, MIS Quart., 18 (2): 159–174, 1994.
- 67 M. Paolucci, D. Suthers, A. Weiner, Automated advice-giving strategies for scientific inquiry, in C. Frasson, G. Gauthier, and A. Lesgold (eds.), ITS96: Proc. 3rd Int. Conf. Intell. Tutoring Syst., New York: Springer, 1996, pp. 372–381.
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