Affective and behavioral predictors of novice programmer achievement

Proceedings of the Conference on Integrating Technology into Computer Science Education, ITiCSE

Volumn , Issue , 2009, Pages 156-160

  Rodrigo, Ma Mercedes T ^a   Baker, Ryan S ^b   Jadud, Matthew C ^c   Amarra, Anna Christine M ^a   Dy, Thomas ^a   Espejo Lahoz, Maria Beatriz V ^a   Lim, Sheryl Ann L ^a   Pascua, Sheila A M S ^a   Sugay, Jessica O ^a   Tabanao, Emily S ^a  

^a ATENEO DE MANILA UNIVERSITY   (Philippines)

^b Carnegie Mellon University   (United States)

^c ALLEGHENY COLLEGE   (United States)

Author keywords

Achievement; Affect; Novice Programmers

Indexed keywords

AFFECTIVE STATE; AVERAGE NUMBERS; ERROR LOCATION; HUMAN OBSERVATIONS; INTEGRATED DEVELOPMENT ENVIRONMENT; NOVICE PROGRAMMER; POOR PERFORMANCE; PROGRAMMING ASSIGNMENTS; PROGRAMMING COURSE; STUDENT INTERACTIONS;

COMPUTER SCIENCE; EDUCATION COMPUTING; ENGINEERING EDUCATION; ENGINEERING RESEARCH; INNOVATION; INTEGRODIFFERENTIAL EQUATIONS; TEACHING; WEB SERVICES;

STUDENTS;

EID: 77049099808     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1562877.1562929     Document Type: Conference Paper

References (20)

1. Baker, R.S., Corbett, A.T., Koedinger, K.R., and Wagner, A.Z. (2004) Off-task behavior in the Cognitive Tutor classroom: When students "Game The System". ACM CHI 2004: Computer-Human Interaction, 383-390.
2. Bennedsen J. and Caspersen M. E. Optimists Have More Fun, But Do They Learn Better? - On the Influence of Emotional and Social Factors on Learning Introductory Computer Science. Computer Science Education, 18, 1, 2008, 1-16.
3. Cohen, J. 1960. A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20, 37-46.
4. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York: Harper and Row.
5. D'Mello, S. K., Craig, S. D., Witherspoon, A., McDaniel, B., Graesser, A. 2005. Integrating affect sensors in an intelligent tutoring system. In "Affective Interactions: The Computer in the Affective Loop Workshop" In conjunction with International conference on Intelligent User Interfaces, 7-13.
6. Field, A. 2005. Discovering Statistics Using SPSS. London: Sage Publications. Psychology Press: Philadelphia, PA.
7. Goold, A. and Rimmer, R. 2000. Factors affecting performance in first-year computing. SIGCSE Bull. 32, 2 (Jun. 2000), 39-43. DOI = http://doi.acm.org/10.1145/355354.355369
8. Graesser, A. C. Chipman, P., King, B., McDaniel, B., and D'Mello, S (2007). Emotions and Learning with AutoTutor. 13th International Conference on Artificial Intelligence in Education (AIED 2007). R. Luckin et al. (Eds), (pp 569-571). IOS Press.
9. Halland, K. and Malan, K. 2003. Reflections by teachers learning to program. In Proceedings of the 2003 Annual Research Conference of the South African institute of Computer Scientists and information Technologists on Enablement Through Technology (September 17 - 19, 2003). J. Eloff, A. Engelbrecht, P. Kotzé, and M. Eloff, Eds. ACM International Conference Proceeding Series, vol. 47. South African Institute for Computer Scientists and Information Technologists, 165-172.
10. Khan, I. A., Hierons, R. M., and Brinkman, W. P. 2007. Mood independent programming. In Proceedings of the 14th European Conference on Cognitive Ergonomics: invent! Explore! (London, United Kingdom, August 28 - 31, 2007). ECCE '07, vol. 250. ACM, New York, NY, 269-272. DOI = http://doi.acm.org/10. 1145/1362550.1362606
11. Kinnunen, P., McCartney, R., Murphy, L., and Thomas, L. 2007. Through the eyes of instructors: a phenomenographic investigation of student success. In Proceedings of the Third international Workshop on Computing Education Research (Atlanta, Georgia, USA, September 15 - 16, 2007). ICER '07. ACM, New York, NY, 61-72. DOI = http://doi.acm.org/10.1145/1288580.1288589
12. Kumar, S. 2008. The rise and fall of a good programmer. Ubiquity 9, 14 (Apr. 2008), 1-5. DOI = http://doi.acm.org/10.1145/1366321.1366323
13. Jadud, M. C. 2006. An Exploration of Novice Compilation Behavior in BlueJ. Doctoral thesis. University of Kent
14. Joni, S., Soloway, E., Goldman, R., and Ehrlich, K. 1983. Just so stories: how the program got that bug. SIGCUE Outlook 17, 4 (Sep. 1983), 13-26. DOI = http://doi.acm.org/10.1145/1045083.1045086
15. Lane, H. C. and VanLehn, K. 2005. Intention-based scoring: an approach to measuring success at solving the composition problem. In Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education (St. Louis, Missouri, USA, February 23 - 27, 2005). SIGCSE '05. ACM, New York, NY, 373-377. DOI = http://doi.acm.org/10.1145/1047344.1047471
16. Ovans, R. 2004. The programmer life-cycle. SIGSOFT Softw. Eng. Notes 29, 3 (May. 2004), 25-26. DOI = http://doi.acm.org/10.1145/986710. 986720
17. Perkins, D. N., Hancock, C., Hobbs, R., Martin F., and Simmons, R. 1985. Conditions of Learning in Novice Programmers. Concept Paper. Educational Technology Center, Harvard Graduate School of Education.
18. th International Conference on Artificial Intelligence in Education, 145-152.
19. Spohrer, J. C. and Soloway, E. 1986. Novice mistakes: are the folk wisdoms correct?. Commun. ACM 29, 7 (Jul. 1986), 624-632. DOI = http://doi.acm.org/10.1145/6138.6145
20. Tabanao, E., Rodrigo, M. M. T., and Jadud M. 2008. Identifying at-risk novice programmers through the analysis of online protocols. Philippine Computing Society Congress 2008, (UP Diliman, Quezon City, February 23-24, 2008).