Inferring unobservable learning variables from students' help seeking behavior

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

Volumn 3220, Issue , 2004, Pages 782-784

  Arroyo, Ivon ^a   Murray, Tom ^a   Woolf, Beverly P ^a   Beal, Carole ^b  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER AIDED INSTRUCTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

ATTITUDES AND PERCEPTIONS; CORRELATION ANALYSIS; HELP SEEKING; STUDENT ATTITUDES; STUDENT BEHAVIOR; TUTORING SYSTEM; UNOBSERVABLE;

STUDENTS;

EID: 35048813540     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30139-4_74     Document Type: Article

References (5)

1. Alevcn, V., Stahl, E., Schworm, S., Fischer, F., & Wallace R. (2003) Help Seeking and Help Design in Interactive Learning Environments Review of Educational Research.
2. Arroyo, I., Beck, J. E., Beal, C. R., Rachel E. Wing, Woolf, B. P. (2001) Analyzing students' response to help provision in an elementary mathematics Intelligent Tutoring System. Help Provision and Help Seeking in Interactive Learning Environments Workshop. Tenth International Conference on Artificial Intelligence in Education.
3. Renkl, A., & Atkinson, R. K. (2002). Learning from examples:Fostering selfexplanations in computer-based learning environments. Interactive Learning Environments, 10, 105-119.
4. Ryan, A. & Pintrich,P (1997) Should I ask for help? The role of motivation and attitudes in adolescents' help-seeking in math class. Journal of Educational Psychology, 89, 1-13
5. Wood, H.; Wood, D. (1999). Help seeking, learning and contingent tutoring. Computers & Education, 33(2-3):153-169.