Assessing learner's scientific inquiry skills across time: A dynamic Bayesian network approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4511 LNCS, Issue , 2007, Pages 207-216

  Ting, Choo Yee ^a   Zadeh, Mohammad Reza Beik ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

Dynamic Bayesian networks; Scientific inquiry skills

Indexed keywords

BAYESIAN NETWORKS; EXPERT SYSTEMS; MATHEMATICAL MODELS; USER INTERFACES;

GRAPH PATTERNS; INTERACTION LOGS; SCIENTIFIC INQUIRY SKILLS;

LEARNING SYSTEMS;

EID: 37249033206     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73078-1_24     Document Type: Conference Paper

References (12)

1. Paolucci, M., Suthers, D.D., Weiner, A.: Automated advice-giving strategies for scientific inquiry. In: Frasson, C., Gauthier, G., Lesgold, A. (eds.) Lecture Notes In Computer Science, pp. 372-381. Springer-Verlag, New York, NY (1996)
2. Linn, M.C.: Designing the knowledge integration environment. International Journal of Science Education 22, 781-796 (2000)
3. Pryor, A., Soloway, E.: Foundation of Science: Using Technology to Support Authentic Science learning (1997) http://hi-ce.eecs.umich.edu/papers/
4. Veermans, K., van Joolingen, W.R.: Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning. Intelligent Tutoring Systems, pp. 217-226 (2004)
5. Reiser, B.J., Tabak, I., Sandoval, W.A., Smith, B., Steinmuller, F., Leone, T.J.: BGuILE: Stategic and Conceptual Scaffolds for Scientific Inquiry in Biology Classrooms. In: Carver, S.M., Klahr, D.(eds.): Cognition and Instruction: Twenty five years of progress. Erlbaum, Mahvah, NJ.
6. Dragon, T., Woolf, B.P., Marshall, D., Murray, T.: Coaching Within a Domain Independent Inquiry Environment. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 144-153. Springer, Heidelberg (2006)
7. Shute, V.J., Glaser, R.: A large-scale evaluation of an intelligent discovery world: Smithtown. Interative Learning Environments 1, 51-77 (1990)
8. Murray, R.C., VanLehn, K., Mostow, J.: Looking ahead to select tutorial actions: A decision-theoretic approach. International Journal of Artificial Intelligence in Education 14, 235-278 (2004)
9. Conati, C.: Probabilistic Assessment of User's Emotiones in Educational Games. Journal of Applied Artificial Intelligence 16, 555-575 (2002)
10. Pek, P.-K., Poh, K.-L.: Making decisions in an intelligent tutoring system. International Journal of Information Technology and Decision Making 4, 207-233 (2005)
11. Ting, C.Y., Zadeh, M.R.B., Chong, Y.K: A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environment. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 85-94. Springer, Heidelberg (2006)
12. Schafer, R., Weyrath, T.: Assessing Temporally Variable User Properties with Dynamic Bayesian Networks. In: UM97. User Modeling: Proceedings of the Sixth International Conference, Vienna, New York, pp. 377-388. Springer, New York (1997)