Work in progress - Intrinsic motivation as a predictor of success in computer science

Proceedings - Frontiers in Education Conference, FIE

Volumn 2005, Issue , 2005, Pages

  Howles, Trudy ^a  

^a Rochester Institute of Technology   (United States)

Author keywords

Motivation; Predictors; Retention; Student success

Indexed keywords

PROACTIVE MECHANISMS; REVIEW SESSIONS; STUDENT SUCCESS; TUTORING LABS;

ENGINEERING EDUCATION; RISK ANALYSIS; STUDENTS;

COMPUTER SCIENCE;

EID: 33947202185     PISSN: 15394565     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. DeBerard, M. S., Spielmans, G. I.,& Julka, D. C. Predictors of academic achievement and retention among college freshman: A longitudinal study. College Student Journal, 38(1),2004, 66-81.
2. Deci, E. L., Koestner, R., & Ryan, R. M. Extrinsic rewards and intrinsic motivation in education: Reconsidered once again. Review of Educational Research,71(1), 2001, 1-27.
3. Diamond, R. M. Designing and assessing courses and curricula. San Francisco: Jossey-Bass Publishers, 1998.
4. Hagan, D., & Markham, S. Does it help to have some programming experience before beginning a computing degree program? Proceedings of the Thirty-second SIGCSE Technical Symposium on Computer Science Education, 52(3), 2000, 25-28.
5. Miller, A., & Horn, H. L. Influence of extrinsic and ego incentive value on persistence after failure and continuing motivation. Journal of Educational Psychology, 82(1), 1990, 539-545.
6. Noble, J., & Sawyer, R. Predicting different levels of academic success in college using high school GPA and ACT composite score. ACT Research Report Series. Retrieved March 8, 2005, from the ERIC database.
7. Pintrich, P. R. A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 2003, 667-686.
8. Ryan, R. M., & Deci, E. L. Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 2000, 54-67.
9. Taylor, H. G., & Mountfield, L. An analysis of success factors in college computer science: High school methodology is a key. Journal of Research on Computing in Education, 24(2), 1991, 240-245.
10. Wilson, B. C., & Shrock, S. (2001). Contributing to success in an introductory computer science course: A study of twelve factors. Proceedings of the Thirty-second SIGCSE Technical Symposium on Computer Science Education, 32(1), 2001, 184-188.
11. Wolters, C. A. Self-regulated learning and college students' regulation of motivation. Journal of Educational Psychology, 90(2), 1998, 224-235.
12. Terrell, S. R. & Dringus, L. An investigation of the effect of learning style on student success in an online learning environment. Journal of Educational Technology Systems, 28(3), 2000, 231-238.