Analysis of productive learning behaviors in a structured inquiry cycle using hidden Markov models

Educational Data Mining 2010 - 3rd International Conference on Educational Data Mining

Volumn , Issue , 2010, Pages 81-90

  Jeong, Hogyeong ^a   Biswas, Gautam ^a   Johnson, Julie ^a   Howard, Larry ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNER CONTROL; LEARNING BEHAVIOR; MARKOV MODEL; ONLINE ENVIRONMENTS; PROCESS MINING; SEQUENCE ANALYSIS;

DATA MINING; EDUCATION;

HIDDEN MARKOV MODELS;

EID: 84863115591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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2. Biswas, G., Roscoe, R., Jeong, H., & Sulcer, B. (2009). Promoting Self-Regulated Learning Skills in Agent-based Learning Environments. Hong Kong: Proceedings of the 17th International Conference on Computers in Education.
3. Bransford, J., & Schawrtz, D. L. (1999). Rethinking transfer: A simple proposal with multiple implications. Review of Research in Education, 24, 61-101.
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5. Howard, L., Johnson, J., & Neitzel, C. (2010). Examining learner control in a structured inquiry cycle using process mining. 3rd Int. Conf. on Educational Data Mining. Pittsburgh.
6. Jeong, H., & Biswas, G. (2008). Mining Student Behavior Models in Learning-by-Teaching Environments. Educational Data Mining, (pp. 127-136). Montreal.
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8. Li, C., & Biswas, G. (2002). A Bayesian Approach for Learning Hidden Markov Models from Data. Special issue on Markov Chain and Hidden Markov Models, Scientific Programming, 10, 201-219. (Pubitemid 35476731)
9. Neitzel, C., Johnson, J., & Howard, L. (2010). Behavioral data and indications of self-regulation: What learner choices reveal about their strategies. Advances in Engineering Education.
10. Rabiner, L. (1989). A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proc. IEEE, 77(2), 257-285.
11. Schwartz, D., Lin, X., Brophy, S., & Bransford, J. (1999). Toward the development of flexibly adaptive instructional designs. In C. Reigeluth, Instructional-design Theories and models: A New Paradigm of Instructional Theory II (pp. 183-214).