The effect of self-regulated learning strategies on performance in learner controlled computer-based instruction

Educational Technology Research and Development

Volumn 44, Issue 2, 1996, Pages 17-27

  Young, James D ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0030557849     PISSN: 10421629     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02300538     Document Type: Article

References (31)

1. Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall.
2. Cambell, V., & Chapman, M. (1967). Learner control versus program control of instruction. Psychology in the Schools, 4(2), 121-130.
3. Carrier, C., Davidson, G., Higson, V, & Williams, M. (1984). Selection of options by field independent and dependent children in a computer-based concept lesson. Journal of Computer-Based Instruction, 11, 49-54.
4. Carrier, C., & Williams, M. (1988). A test of one learner-control strategy with students of differing levels of task persistence. American Educational Research Journal, 25(2), 285-306.
5. Carroll, J. B. (1963). A model of school learning. Teachers College Board, 64, 723-733.
6. Duchastel, P. (1986). Intelligent computer assisted instruction systems: The nature of learner control. Journal of Educational Computing Research, 2(3), 379-393.
7. Garhart, C., & Hannafin, M. (1986). The accuracy of cognitive monitoring during computer based instruction. Journal of Computer Based Instruction, 13(3), 88-93.
8. Hannafin, M. (1984). Guidelines for using locus of instructional control in the design of computer-assisted instruction. Journal of Instructional Development, 7, 6-10.
9. Hicken, S., Sullivan, H., & Klein, J. (1992). Learner control modes and incentive variations in computer-assisted instruction. Educational Technology, Research and Development, 40(4), 15-26.
10. Hintze, H., Mohr, H., & Wenzel, A. (1988). Students' attitudes towards control methods in computer-assisted instruction. Journal of Computer Assisted Learning, 4(1), 3-10.
11. Kinzie, M., & Sullivan, H. (1989). Continuing motivation, learner control and CAI. Educational Technology, Research and Development, 37(2), 5-14.
12. Klein, J. (1988). The effects of student ability, locus of control, and type of instructional control on motivation and performance. Unpublished Doctoral Dissertation, Florida State University, Tallahassee, FL.
13. Lepper, M., & Chabay, R. (1985). Intrinsic motivation and instruction: Conflicting views on the role of motivational processes in computer-based education. Educational Psychologist, 20(4), 217-230.
14. Merrill, M. D. (1983). Component Display Theory. In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status (pp. 279-333). Hillsdale, NJ: Lawrence Erlbaum.
15. Milheim, W., & Martin, B. (1991). Theoretical bases for the use of learner control: Three different perspectives. Journal of Computer Based Instruction, 18(3), 99-105.
16. Morrison, G., Ross, S., & Baldwin, W. (1992). Learner control of context and instructional support in learning elementary school mathematics. Educational Technology Research and Development, 40(1), 5-13.
17. Oliver, T., & Shapiro, F. (1993). Sell-efficacy and computers. Journal of Computer-Based Instruction, 20(3), 81-85.
18. Pintrich, P., & De Groot, E. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40.
19. Reigeluth, C., & Stein, F. (1983). The elaboration theory of instruction. In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status (pp. 335-382). Hillsdale, NJ: Lawrence Erlbaum.
20. Salomon, G. (1983). The differential investment of mental effort in learning from different sources. Educational Psychologist, 18, 42-50.
21. Schunk, D. (1985). Self-efficacy and school learning. Psychology in the Schools, 22, 208-223.
22. Schunk, D. (1990). Goal setting and self-efficacy during self-regulated learning. Educational Psychologist, 25(1), 71-86.
23. Tennyson R., & Park, O. (1984). Computer-based adaptive instructional systems: A review of empirically based models. Machine-Mediated Learning, 1, 129-153.
24. Tennyson, R., Park, O., & Christensen, D. (1985). Adaptive control of learning time and content sequence in concept learning using computer-based instruction. Journal of Educational Psychology, 77(4), 481-491.
25. Williams, M. (1993a). A comprehensive review of learner-control: The role of learner characteristics. In M. R. Simonson (Ed.), Proceedings of Annual Conference of the Association for Educational Communications and Technology (pp. 1083-1114). New Orleans, LA: Association for Educational Communications and Technology.
26. Williams, M. (1993b). Interactions among attributional style, attributional feedback, and learner-controlled CBI, Paper presented at the Annual Meeting of the American Educational Research Association, Atlanta, GA. (ERIC Document Reproduction Service No. ED 363 271)
27. Yang, Y. C. (1991). The effects of self-regulatory skills and type of instructional control on learning from CBI. Unpublished Doctoral Dissertation, Florida State University, Tallahassee, FL.
28. Zimmerman, B. (1989). Models of self-regulated learning and academic achievement. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theory, research, and practice (pp. 1-25). New York: Springer.
29. Zimmerman, B. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25 (1), 3-17.
30. Zimmerman, B., & Martinez-Pons, M. (1986). Development of a structured interview for assessing student use of self-regulated learning strategies. American Educational Research Journal, 23 (4) 614-628.
31. Zimmerman, B., & Martinez-Pons, M. (1988). Construct validation of a strategy model of student self-regulated learning. Journal of Educational Psychology, 80 284-290.