A Bayesian Network Approach for Modeling the Influence of Contextual Variables on Scientific Problem Solving

1. Arroyo, I., Woolf, B.: Inferring learning and attitudes from a Bayesian Network of log file data. In: Looi, C.-K., et al. (eds.) Artificial Intelligence in Education. IOS Press, Amsterdam (2005)

   Google Scholar 

2. Alexander, P.A.: The Development of Expertise: The Journey from Acclimation to Proficiency. Educational Researcher 32(8), 10–14 (2003)

   Article  Google Scholar 

3. Brown, A., Palincsar, A.: Guided, Cooperative Learning and Individual Knowledge Acquisition. In: Resnick, L. (ed.) Knowing, learning, and instruction: Essays in honor of Robert Glaser. Lawrence Earlbaum Associates, NJ (1989)

   Google Scholar 

4. Case, E.L.: The effects of collaborative grouping on problem solving in first-year chemistry. Ph.D. thesis, Clemson University (2004)

   Google Scholar 

5. Chung, G.K.W.K., de Vries, L.F., Cheak, A.M., Stevens, R.H., Bewley, W.L.: Cognitive Process Validation of an Online Problem Solving Assessment. Computers and Human Behavior 18, 669 (2002)

   Article  Google Scholar 

6. Ericsson, K.A.: Deliberate Practice and the Acquisition and Maintenance of Expert Performance in Medicine and Related Domains. Academic Medicine 79(10), S70–S81 (2004)

   Article  Google Scholar 

7. Fennema, E., Carpenter, T., Jacobs, V., Franke, M., Levi, L.: Gender differences in mathematical thinking. Educational Researcher 27, 6–11 (1998)

   Google Scholar 

8. Gallagher, A.M., De Lisi, R.: Gender differences in scholastic aptitude test mathematics problem solving among high ability students. Journal of Educational Psychology 86(2), 204–214 (1994)

   Article  Google Scholar 

9. Gerosa, L., Giordani, A., Ronchetti, M., Soller, A., Stevens, R.: Symmetric Synchronous Collaborative Navigation. In: A cura di Isaias, P., Karmakar, N. (eds.) IADIS International Conference WWW/Internet 2004, vol. 1, pp. 748–754. IADIS Press, Lisboa (2004)

   Google Scholar 

10. Haider, H., Frensch, P.A.: The role of information reduction in skill acquisition. Cognitive Psychology 30, 304–337 (1996)

    Article  Google Scholar 

11. Hiebert, J., Stigler, J.: A Proposal for Improving Classroom Teaching: Lessons from the TIMSS Video Study. The Elementary School Journal 101, 3–21 (2000)

    Article  Google Scholar 

12. Kohonen, T.: Self Organizing Maps, 3rd extended edit. Springer, Heidelberg (2001)

    MATH  Google Scholar 

13. Lajoie, S.P.: Transitions and Trajectories for Studies of Expertise. Educational Researcher 32, 21–25 (2003)

    Article  Google Scholar 

14. Lepper, M.R., Woolverton, M., Mumme, D., Gurtner, J.: Motivational Techniques of Expert Human Tutors: Lessons for the Design of Computer-Based Tutors. In: Lajoie, S.P., Derry, S.J. (eds.) Computers as cognitive tools, pp. 75–105. Erlbaum, Hillsdale (1993)

    Google Scholar 

15. Linacre, J.M.: WINSTEPS Rasch measurement computer program. Chicago. Winsteps.com (2004)

    Google Scholar 

16. Marshall, S.: Schemas in Problem Solving. Cambridge University Press, Cambridge (1995)

    Book  Google Scholar 

17. Mayer, R.E.: Should There Be A Three-Strikes Rule Against Pure Discovery Learning? American Psychologist 59, 14–19 (2004)

    Article  Google Scholar 

18. Mayer, R.E.: Cognitive, Metacognitive and Motivational Aspects of Problem Solving. Instructional Science 26, 49–63 (1998)

    Article  Google Scholar 

19. Mislevy, R.J., Steinberg, L.S., Breyer, F.J., Almond, R.G., Johnson, L.: A cognitive task analysis, with implications for designing a simulation-based assessment system. Computer and Human Behavior 15, 335–374 (1999)

    Article  Google Scholar 

20. Moreno, R., Duran, R.: Do Multiple Representations Need Explanations? The Role of Verbal Guidance and Individual Differences in Multimedia Mathematics Learning. Journal of Educational Psychology 96, 492–503 (2004)

    Article  Google Scholar 

21. Murphy, K.: Hidden Markov Model (HMM) Toolbox for Matlab (2004), Available online at: http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html

22. O’Regan, K.: Emotion and e-Learning. Journal of Asynchronous Learning Network 7(3), 78–92 (2003)

    Google Scholar 

23. Olson, A., Loucks-Horsley, S. (eds.): Inquiry and the National Science Education Standards: A guide for teaching and learning. National Academy Press, Washington (2000)

    Google Scholar 

24. Rabiner, L.: A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of IEEE 77, 257–286 (1989)

    Article  Google Scholar 

25. Schunn, C.D., Anderson, J.R.: The Generality/Specificity of Expertise in Scientific Reasoning. Cognitive Science 13, 337–370 (1999)

    Article  Google Scholar 

26. Soller, A., Lesgold, A.: A Computational Approach to Analyzing Online Knowledge Sharing Interaction. In: Proceedings of Artificial Intelligence in Education, Sydney Australia, pp. 253–260 (2003)

    Google Scholar 

27. Soller, A., Wiebe, J., Lesgold, A.: A Machine Learning Approach to Assessing Knowledge Sharing During Collaborative Learning Activities. In: Proceedings of Computer Support for Collaborative Learning, Boulder, CO, pp. 128–137 (2002)

    Google Scholar 

28. Stevens, R.H., Palacio-Cayetano, J.: Design and Performance Frameworks for Constructing Problem-solving Simulations. Cell Biology Education 2, 162–179 (2003)

    Article  Google Scholar 

29. Stevens, R.H., Ikeda, J., Casillas, A., Palacio-Cayetano, J., Clyman, S.: Artificial Neural Network-based Performance Assessments. Computers in Human Behavior 15, 295–314 (1999)

    Article  Google Scholar 

30. Stevens, R.H., Wang, P., Lopo, A.: Artificial Neural Networks Can Distinguish Novice and Expert Strategies During Complex Problem Solving. JAMIA 3(2), 131–138 (1996)

    Google Scholar 

31. Stevens, R., Johnson, D.F., Soller, A.: Probabilities and Predictions: Modeling the Development of Scientific Competence. Cell Biology Education, The American Society for Cell Biology 4, 42–57 (2005)

    Article  Google Scholar 

32. Stevens, R., Soller, A., Cooper, M., Sprang, M.: Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 580–591. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

33. Stevens, R.H., Najafi, K.: Artificial Neural Networks as Adjuncts for Assessing Medical Students’ Problem-solving Performances on Computer-based Simulations. Computers and Biomedical Research 26, 172–187 (1993)

    Article  Google Scholar 

34. Stevens, R.H., Ikeda, J., Casillas, A., Palacio-Cayetano, J., Clyman, S.: Artificial neural network-based performance assessments. Computers in Human Behavior 15, 295–314 (1999)

    Article  Google Scholar 

35. Stevens, R.H., Soller.: Implementing a Layered Analytic Approach for Real-Time Modeling of Student’s Scientific Understanding. In: Proceedings of the Artificial Intelligence in Education Conference (2005)

    Google Scholar 

36. Sugrue, B.: A theory-based framework for assessing domain-specific problem solving ability. Educational Measurement: Issues and Practice 14(3), 29–36 (1995)

    Article  Google Scholar 

37. Topping, K.J., Ehly, S. (eds.): Peer-assisted learning. Lawrence Erlbaum, Mahwah (1998)

    Google Scholar 

38. Underdahl, J., Palacio-Cayetano, J., Stevens, R.: Practice makes perfect: assessing and enhancing knowledge and problem-solving skills with IMMEX software. Learning and Leading with Technology 28, 26–31 (2001)

    Google Scholar 

39. VanLehn, K.: Cognitive Skill Acquisition. Annual Review. Psychology. 47, 513–539 (1996)

    Article  Google Scholar 

40. VanLehn, K., Ohlsson, S., Nason, R.: Applications of Simulated Students: An Exploration. Journal of Artificial Intelligence in Education 5(2), 135–175 (1994)

    Google Scholar 

41. Vendlinski, T., Stevens, R.: A Markov Model Analysis of Problem-Solving Progress and Transfer. Journal of Technology, Learning, and Assessment 1(3) (2002)

    Google Scholar 

42. Webb, N.: Testing a Theoretical Model of Student Interaction and Learning in Small Groups. In: Hertz-Lazarowitz, R., Miller, N. (eds.) Interaction in Cooperative Groups: The Theoretical Anatomy of Group Learning, pp. 102–119. Cambridge University Press, New York (1992)

    Google Scholar 

Download references