Progress in assessment and tutoring of lifelong learning skills: An intelligent tutor agent that helps students become better help seekers

Adaptive Technologies for Training and Education

Volumn , Issue , 2012, Pages 69-95

  Aleven, Vincent ^a   Roll, Ido ^b   Koedinger, Kenneth R ^a  

^a Carnegie Mellon University ^*  (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM ALLOYS; COMPUTER AIDED INSTRUCTION; COMPUTER PROGRAMMING; COMPUTER SYSTEMS PROGRAMMING; DIAGNOSIS; EDUCATION COMPUTING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; PROGRAM DIAGNOSTICS; STUDENTS; TEACHING;

INSTRUCTIONAL INTERVENTIONS; INTELLIGENT TUTORING SYSTEM (ITSS); INTELLIGENT TUTORS; LEARNING ENVIRONMENTS; MATHEMATICS LEARNING; REGULATORY PROCESS; SELF-REGULATED LEARNING; THEORETICAL FRAMEWORK;

EDUCATION;

EID: 84920131407     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139049580.008     Document Type: Chapter

References (101)

1. Aleven, V., & Koedinger, K. R. (2000). Limitations of student control: Do students know when they need help? In G. Gauthier, C. Frasson, & K. VanLehn (Eds.), Proceedings of the 5th international conference on intelligent tutoring systems, ITS 2000 (pp. 292-303). Berlin: Springer.
2. Aleven, V., & Koedinger, K. R. (2002). An effective meta-cognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive Science, 26 (2), 147-179.
3. Aleven, V., McLaren, B. M., & Koedinger, K. R. (2006). Towards computer-based tutoring of help-seeking skills. In S. Karabenick & R. Newman (Eds.), Help seeking in academic settings: Goals, groups, and contexts (pp. 259-296). Mahwah, NJ: Erlbaum.
4. Aleven, V., McLaren, B. M., Roll, I., & Koedinger, K. R. (2006). Toward meta-cognitive tutoring: A model of help seeking with a cognitive tutor. International Journal of Artificial Intelligence in Education, 16, 101-128.
5. Aleven, V., McLaren, B. M., Sewall, J., & Koedinger, K. R. (2009). A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education, 19 (2), 105-154.
6. Aleven, V., Ogan, A., Popescu, O., Torrey, C., & Koedinger, K. (2004). Evaluating the effectiveness of a tutorial dialogue system for self-explanation. In J. C. Lester, R. M. Vicario, & F. Paraguaçu (Eds.), Proceedings of seventh international conference on intelligent tutoring systems, ITS 2004 (pp. 443-454). Berlin: Springer Verlag.
7. Aleven, V., Roll, I., McLaren, B., Ryu, E. J., & Koedinger, K. R. (2005). An architecture to combine meta-cognitive and cognitive tutoring: Pilot testing the Help Tutor. In C. K. Looi, G. McCalla, B. Bredeweg, & J. Breuker (Eds.), Proceedings of the 12th international conference on artificial intelligence in education, AIED 2005 (pp. 17-24). Amsterdam: IOS Press.
8. Aleven, V., Stahl, E., Schworm, S., Fischer, F., & Wallace, R. M. (2003). Help seeking and help design in interactive learning environments. Review of Educational Research, 73 (2), 277-320.
9. Alpert, S. R., Singley, M. K., & Carroll, J. M. (1999). Multiple instructional agents in an intelligent tutoring system. In Proceedings of the workshop on animated and personified pedagogical agents. Workshop held during AI-ED ’99: 9th International Conference on Artificial Intelligence in Education, July. Le Mans: France.
10. Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Lawrence Erlbaum Associates.
11. 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.
12. Arroyo, I., Beck, J. E., Woolf, B. P., Beal, C. R., & Schultz, K. (2000). Macroadapting animalwatch to gender and cognitive differences with respect to hint interactivity and symbolism. In G. Gauthier, C. Frasson, & K. VanLehn (Eds.), Proceedings of the 5th international conference on intelligent tutoring systems, ITS 2000 (pp. 574-83). Berlin: Springer.
13. Arroyo, I., Ferguson, K., Johns, J., Dragon, T., Meheranian, H., Fisher, D., et al. (2007). Repairing disengagement with non-invasive interventions. In R. Luckin, K. R. Koedinger, & J. Greer (Eds.), Proceedings of the 13th international conference on artificial intelligence in education, AIED 2007 (pp. 195-202). Amsterdam: IOS Press.
14. Baker, R. S. J. d., Corbett, A. T., Koedinger, K. R., Evenson, S., Wagner, A. Z., Naim, M., et al. (2006). Adapting to when students game an intelligent tutoring system. In M. Ikeda, K. D. Ashley, & T. W. Chan (Eds.), Proceedings of the 8th international conference on intelligent tutoring systems, ITS 2006 (pp. 392-401). Berlin: Springer.
15. Baker, R., Walonoski, J., Heffernan, N., Roll, I., Corbett, A., & Koedinger, K. (2008). Why students engage in “gaming the system” behavior in interactive learning environments. Journal of Interactive Learning Research, 19 (2), 185-224.
16. Bartholom é, T., Stahl, E., Pieschl, S., & Bromme, R. (2006). What matters in help-seeking? A study of help effectiveness and learner-related factors. Computers in Human Behavior, 22 (1), 113-129.
17. Beal, C. R., Walles, R., Arroyo, I., & Woolf, B. P. (2007). Online tutoring for math achievement: A controlled evaluation. Journal of Interactive Online Learning, 6, 43-55.
18. Beck, J. (2005). Engagement tracing: Using response times to model student disengagement. In C. K. Looi, G. McCalla, B. Bredeweg, & J. Breuker (Eds.), Proceedings of the 12th international conference on artificial intelligence in education, AIED 2005, (pp. 88-95). Amsterdam: IOS Press.
19. Beck, J. E., Chang, K., Mostow, J., & Corbett, A. T. (2008). Does help help? Introducing the Bayesian evaluation and assessment methodology. In B. P. Woolf, E. Aimeur, R. Nkambou, & S. Lajoie (Eds.), Proceedings of the 9th international conference on intelligent tutoring systems, ITS 2008 (pp. 383-394). Berlin: Springer.
20. Bielaczyc, K., Pirolli, P. L., & Brown, A. L. (1995). Training in self-explanation and self-regulation strategies: Investigating the effects of knowledge acquisition activities on problem solving. Cognition and Instruction, 13 (2), 221-252.
21. Brown, A. L., & Kane, M. J. (1988). Preschool children can learn to transfer: Learning to learn and learning from example. Cognitive Psychology, 20, 493-523.
22. Butler, R. (1998). Determinants of help seeking: Relations between perceived reasons for classroom help-avoidance and help-seeking behaviors in an experimental context. Journal of Educational Psychology, 90 (4), 630-643.
23. Butler, R., & Neuman, O. (1995). Effects of task and ego achievement goals on help-seeking behaviors and attitudes. Journal of Educational Psychology, 87 (2), 261-271.
24. Card, S., Moran, T., & Newell, A. (1983). The psychology of human-computer interaction. Mahwah, NJ: Erlbaum.
25. Charney, D. H., & Reder, L. M. (1986). Designing interactive tutorials for computer users. Human-Computer Interaction, 2 (4), 297-317.
26. Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-Explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145-182.
27. Chi, M. T. H., de Leeuw, N., Chiu, M., & LaVancher, C. (1994). Eliciting selfexplanations improves understanding. Cognitive Science, 18, 439-477.
28. Clark, R. C., & Mayer, R. E. (2007). E-Learning and the science of instruction (2nd ed.). San Francisco: Pfeiffer.
29. Cocea, M., Hershkovitz, A., & Baker, R. S. J. d. (2009). The impact of off-task and gaming behaviors on learning: Immediate or aggregate? In V. Dimitrova, R. Mizoguchi, B. du Boulay, & A. Graesser (Eds.), Proceedings of the 14th international conference on artificial intelligence in education, AIED 2009 (pp. 507-514). Amsterdam: IOS Press.
30. Conati, C., Muldner, K., & Carenini, G. (2006). From example studying to problem solving via tailored computer-based meta-cognitive scaffolding: Hypotheses and design. Technology, Instruction, Cognition, and Learning, 4 (2), 139-190.
31. Conati, C., & VanLehn, K. (2000). Toward computer-based support of meta-cognitive skills: A computational framework to coach selfexplanation. International Journal of Artificial Intelligence in Education, 11 (4), 389-415.
32. Corbett, A. T., Koedinger, K. R., & Hadley, W. H. (2001). Cognitive tutors: From the research classroom to all classrooms. Technology Enhanced Learning: Opportunities for Change, 235-263.
33. Corbett, A., McLaughlin, M., & Scarpinatto, K. C. (2000). Modeling student knowledge: Cognitive tutors in high school and college. User Modeling and User-Adapted Interaction, 10, 81-108.
34. Corbett, A., Wagner, A., & Raspat, J. (2003). The impact of analysing example solutions on problem solving in a pre-algebra tutor. In U. Hoppe, F. Verdejo, & J. Kay (Eds.), Proceedings of the 11th international conference on artifi-cial intelligence in education, AIED 2003 (pp. 133-140). Amsterdam: IOS Press.
35. Crowley, R. S., Legowski, E., Medvedeva, O., Tseytlin, E., Roh, E., & Jukic, D. (2007). Evaluation of an intelligent tutoring system in pathology: Effects of external representation on performance gains, metacognition, and acceptance. Journal of the American Medical Informatics Association, 14 (2), 182-190.
36. El Saadawi, G. M., Azevedo, R., Castine, M., Payne, V., Medvedeva, O., Tseytlin, E., et al. (2009). Factors affecting feeling-of-knowing in a medical intelligent tutoring system: The role of immediate feedback as a metacognitive scaffold. Advances in Health Sciences Education: Theory and Practice, 15, 9-30.
37. Gama, C. (2004). Metacognition in interactive learning environments: The Reflection Assistant model. In J. C. Lester, R. M. Vicario, & F. Paraguaçu (Eds.), Proceedings of seventh international conference on intelligent tutoring systems, ITS 2004 (pp. 668-677). Berlin: Springer.
38. Gerjets, P., Scheiter, K., & Catrambone, R. (2006). Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? Learning and Instruction, 16 (2), 104-121.
39. Gott, S. P., & Lesgold, A. M. (2000). Competence in the workplace: How cognitive performance models and situated instruction can accelerate skill acquisition. In R. Glaser (Ed.), Advances in instructional psychology (pp. 239-327). Hillsdale, NJ: Erlbaum.
40. Graesser, A. C., Chipman, P., Haynes, B. C., & Olney, A. (2005). AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Transactions in Education, 48, 612-618.
41. Gross, A. E., & McMullen, P. A. (1983). Models of the help-seeking process. In J. D. Fisher, N. Nadler, & B. M. DePaulo (Eds.), New directions in helping, Vol. 2 (pp. 45-61). New York: Academic Press.
42. Karabenick, S. A. (2003). Seeking help in large college classes: A person-centered approach. Contemporary Educational Psychology, 28 (1), 37-58.
43. Karabenick, S., & Newman, R. (Eds.) (2006). Help seeking in academic settings: Goals, groups, and contexts. Mahwah, NJ: Erlbaum.
44. Katz, S., Allbritton, D., & Connelly, J. (2003). Going beyond the problem given: How human tutors use post-solution discussions to support transfer. International Journal of Artificial Intelligence and Education, 13 (1), 79-116.
45. Katz, S., Lesgold, A., Hughes, E., Peters, D., Eggan, G., Gordin, M., & Greenberg, L. (1998). Sherlock II: An intelligent tutoring system built upon the LRDC tutor framework. In C. P. Bloom & R. B. Loftin (Eds.), Facilitating the development and use of interactive learning environments (pp. 227-258). Mahwah, NJ: Erlbaum.
46. Koedinger, K. R., & Aleven V. (2007). Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review, 19 (3), 239-264.
47. Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1997). Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8 (1), 30-43.
48. Koedinger, K. R., & Corbett, A. T. (2006). Cognitive tutors: Technology bringing learning sciences to the classroom. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 61-78). Cambridge: Cambridge University Press.
49. Koedinger, K. R., Corbett, A. T., Ritter, S., & Shapiro, L. (2000). Carnegie learning's Cognitive Tutor: Summary research results. White paper. Pittsburgh, PA. Available at http://www.carnegielearning. com
50. Leelawong, K., & Biswas, G. (2008). Designing learning by teaching agents: The Betty's Brain system. International Journal of Artificial Intelligence in Education, 18 (3), 181-208.
51. Lovett, M. C. (1992). Learning by problem solving versus by examples: The benefits of generating and receiving information. In Proceedings of the fourteenth annual meeting of the cognitive science society (pp. 956-961). Hillsdale, NJ: Erlbaum.
52. Lovett, M. C. (1998). Cognitive task analysis in the service of intelligent tutoring system design: A case study in statistics. In B. P. Goettle, H. M. Halff, C. L. Redfield, & V. J. Shute (Eds.), Intelligent tutoring systems, proceedings of the fourth international conference (pp. 234-243). Berlin: Springer Verlag.
53. Luckin, R., & Hammerton, L. (2002). Getting to know me: Helping learners understand their own learning needs through metacognitive scaffolding. In S. A. Cerri, G. Gouardères, & F. Paraguaçu (Eds.), Proceedings of the sixth international conference on intelligent tutoring systems, ITS 2002 (pp. 759-71). Berlin: Springer.
54. Martin, B., & Mitrovic, A. (2002). Automatic problem generation in constraint-based tutors. In S. A, Cerri, G. Gouardères & F. Paraguaçu (Eds.) Intelligent tutoring systems: 6th international conference (ITS-2002) (p. 388-398). Berlin: Springer.
55. Mathan, S. A., & Koedinger, K. R. (2005). Fostering the intelligent novice: Learning from errors with metacognitive tutoring. Educational Psychologist, 40 (4), 257-265.
56. McNamara, D., O’Reilly, T., Rowe, M., Boonthum, C., & Levinstein, I. (2007). Istart: A Webbased tutor that teaches self-explanation and metacognitive reading strategies. In D. McNamara (Ed.), Reading comprehension strategies: Theories, interventions, and technologies (pp. 397-420). New York: Lawrence Erlbaum.
57. Mercier, J., & Frederiksen, C. H. (2007). Individual differences in graduate students’ help-seeking process in using a computer coach in problem-based learning. Learning and Instruction, 17 (2), 184-203.
58. Mevarech, Z., & Fridkin, S. (2006). The effects of IMPROVE on mathematical knowledge, mathematical reasoning and meta-cognition. Metacognition and Learning, 1 (1), 85-97.
59. Mitrovic, A., McGuigan, N., Martin, B. Suraweera, P., Milik, N., & Holland, J. (2008). Authoring constraint-based tutors in ASPIRE: A case study of a capital investment tutor. In world conference on educational multimedia, hypermedia & telecommunications (ED-MEDIA 2008).
60. Mostow, J., & Beck, J. (2007). When the rubber meets the road: Lessons from the inschool adventures of an automated Reading Tutor that listens. In B. Schneider & S.-K. McDonald (Eds.), Conceptualizing scale-up: Multidisciplinary perspectives, Vol. 2 (pp. 183-200). Lanham, MD: Rowman & Littlefield.
61. Nelson-Le Gall, S. (1981). Help-seeking: An understudied problem-solving skill in children. Developmental Review, 1, 224-246.
62. Nelson-Le Gall, S., Kratzer, L., Jones, E., & DeCooke, P. (1990). Children's self-assessment of performance and task-related help-seeking. Journal of Experimental Child Psychology, 49, 245-263.
63. Newman, R. S. (1994). Adaptive help seeking: A strategy of self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Selfregulation of learning and performance: Issues and educational applications (pp. 283-301). Hillsdale: Erlbaum.
64. Newman, R. S. (2008). The motivational role of adaptive help seeking in self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 315-337). New York: Erlbaum.
65. Palincsar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 1 (2), 117-175.
66. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16 (4), 385-407.
67. Puustinen, M. (1998). Help-seeking behavior in a problem-solving situation: Development of self-regulation. European Journal of Psychology of Education, 13 (2), 271-282.
68. Rau, M., Aleven, V., & Rummel, N. (2009). Intelligent tutoring systems with multiple representations and self-explanation prompts support learning of fractions. In V. Dimitrova, R. Mizoguchi, B. du Boulay, & A. Graesser (Eds.), Proceedings of the 14th international conference on artificial intelligence in education, AIED 2009 (pp. 441-448). Amsterdam: IOS Press.
69. Renkl, A. (2002). Worked-out examples: Instructional explanations support learning by self-explanations. Learning and Instruction, 12 (5), 529-556.
70. Renkl, A., Stark, R., Gruber, H., & Mandl, H. (1998). Learning from worked-out examples: The effects of example variability and elicited self-explanations. Contemporary Educational Psychology, 23 (1), 90-108.
71. Rickel, J., & Johnson, W. L. (1999). Animated agents for procedural training in virtual reality: Perception, cognition, and motor control. Applied Artificial Intelligence, 13, 343-382.
72. Ritter, S. (1997). Communication, cooperation and competition among multiple tutor agents. In B. du Boulay & R. Mizoguchi (Eds.), Artificial intelligence in education, proceedings of AI-ED 97 world conference (pp. 31-38). Amsterdam: IOS Press.
73. Roediger, H. L., & Karpicke, J. D. (2006). Testenhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17 (3), 249-255.
74. Roll, I., Aleven, V., McLaren, B. M., & Koedinger, K. R. (2011). Improving students’ helpseeking skills using metacognitive feedback in an intelligent tutoring system. Learning and Instruction, 21 (2), 267-280.
75. Roll, I., Aleven, V., McLaren, B., & Koedinger, K. (2007a). Can help seeking be tutored? Searching for the secret sauce of metacognitive tutoring. In R. Luckin, K. Koedinger, & J. Greer (Eds.), Proceedings of the 13th international conference on artificial intelligence in education (pp. 203-210). Amsterdam: IOS Press.
76. Roll, I., Aleven, V., McLaren, B., & Koedinger, K. (2007b). Designing for metacognition-applying Cognitive Tutor principles to metacognitive tutoring. Metacognition and Learning, 2 (2-3), 125-140.
77. Roll, I., Aleven, V., McLaren, B. M., Ryu, E., Baker, R. S., & Koedinger, K. R. (2006). The Help Tutor: Does metacognitive feedback improve students’ help-seeking actions, skills and learning? In M. Ikeda, K. D. Ashley, & T. W. Chan (Eds.), Proceedings of 8th international conference on intelligent tutoring systems (ITS 2006) (pp. 360-369). Berlin: Springer.
78. Ryan, A. M., Gheen, M. H., & Midgley, C. (1998). Why do some students avoid asking for help? An examination of the interplay among students’ academic efficacy, teachers’ social-emotional role, and the classroom goal structure. Journal of Educational Psychology, 90 (3), 528-535.
79. Ryan, A. M., Patrick, H., & Shim, S. O. (2005). Differential profiles of students identified by their teacher as having avoidant, appropriate, or dependent help-seeking tendencies in the classroom. Journal of Educational Psychology, 97 (2), 275-285.
80. Ryan, A. M., Pintrich, P. R., & Midgley, C. (2001). Avoiding seeking help in the classroom: Who and why? Educational Psychology Review, 13 (2), 93-114.
81. Schworm, S., & Renkl, A. (2006). Computersupported example-based learning: When instructional explanations reduce selfexplanations. Computers & Education, 46 (4), 426-445.
82. Shih, B., Koedinger, K. R., & Scheines, R. (2008). A response time model for bottom-out hints as worked examples. In R. S. J. d. Baker, T. Barnes, & J. Beck (Eds.), Educational Data Mining 2008: 1st International Conference on Educational Data Mining, Proceedings (pp. 117-126). Montreal, Canada.
83. Tobias, S., & Everson, H. T. (2002). Knowing what you know and what you don’t: Further research on metacognitive knowledge monitoring. College Board Research Report 2002-2003.
84. van der Meij, H., & Carroll, J. M. (1995). Principles and heuristics for designing minimalist instruction. Journal of the Society for Technical Communication, 42 (2), 243-261.
85. VanLehn, K. (2006). The behavior of tutoring systems. International Journal of Artificial Intelligence in Education, 16 (3), 227-265.
86. VanLehn, K., Lynch, C., Schultz, K., Shapiro, J. A., Shelby, R. H., Taylor, L., et al. (2005). The Andes physics tutoring system: Lessons learned. International Journal of Artificial Intelligence in Education, 15 (3), 147-204.
87. Wagster, J., Tan, J., Biswas, G., & Schwartz, D. (2007). How metacognitive feedback affects behavior in learning and transfer. In R. Luckin, K. Koedinger, & J. Greer (Eds.), Proceedings of the 13th international conference on artificial intelligence in education, AIED 2007. Amsterdam: IOS Press.
88. Walonoski, J. A., & Heffernan, N. T. (2006a). Detection and analysis of off-task gaming behavior in intelligent tutoring systems. In M. Ikeda, K. Ashley, & T. W. Chan (Eds.), Proceedings of the eighth international conference on intelligent tutoring systems (pp. 382-91). Berlin: Springer.
89. Walonoski, J. A., & Heffernan, N. T. (2006b). Prevention of off-task gaming behavior in intelligent tutoring systems. In M. Ikeda, K. Ashley, & T. W. Chan (Eds.), Proceedings of the 8th international conference on intelligent tutoring systems, ITS 2006 (pp. 722-724). Berlin: Springer.
90. Webb, N. M. (1989). Peer interaction and learning in small groups. International Journal of Education Research, 13, 21-39.
91. Weerasinghe, A., & Mitrovic, A. (2006). Facilitating deep learning through self-explanation in an open-ended domain. International Journal of Knowledge-Based and Intelligent Engineering Systems, 10 (1), 3-19.
92. White, B. Y., & Frederiksen, J. R. (1998). Inquiry, modeling, and metacognition: Making science accessible to all students. Cognition and Instruction, 16 (1), 3-118.
93. Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 279-306). Hillsdale, NJ: Erlbaum.
94. Wittwer, J., & Renkl, A. (2008). Why instructional explanations often do not work: A framework for understanding the effectiveness of instructional explanations. Educational Psychologist, 43 (1), 49-64.
95. Wood, H., & Wood, D. (1999). Help seeking, learning and contingent tutoring. Computers and Education, 33 (2-3), 153-169.
96. Wylie, R., Koedinger, K. R., & Mitamura, T. (2009). Is self-explanation always better? The effects of adding self-explanation prompts to an English grammar tutor. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st annual conference of the cognitive science society (pp. 1300-1305). Austin, TX: Cognitive Science Society.
97. Yudelson, M. V., Medvedeva, O., Legowski, E., Castine, M., Jukic, D., & Crowley, R. S. (2006). Mining student learning data to develop high level pedagogic strategy in a medical ITS. In Proceedings of a workshop on educational data mining at AAAI 2006. Menlo Park, CA: AAAI Press.
98. Zimmerman, B. J. (2008). Investigating selfregulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45 (1), 166-183.
99. Zimmerman, B. J., & Moylan, A. R. (2009). Selfregulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 299-315). New York: Routledge.
100. Zimmerman, B. J., & Schunk, D. H. (2008). Motivation: An essential dimension of selfregulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and selfregulated learning: Theory, research, and applications. Mahwah, NJ: Lawrence Erlbaum.
101. Zusho, A., Karabenick, S. A., Bonney, C. R., & Sims, B. C. (2007). Contextual determinants of motivation and help seeking in the college classroom. In R. P. Perry, & J. C. Smart (Eds.), The scholarship of teaching and learning in higher education: An evidence-based perspective (pp. 611-659). Dordrecht: Springer.