Personifying programming tool feedback improves novice programmers' learning

ICER'11 - Proceedings of the ACM SIGCSE 2011 International Computing Education Research Workshop

Volumn , Issue , 2011, Pages 109-116

  Lee, Michael J ^a   Ko, Andrew J ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

debugging; education; motivation; personification; programming

Indexed keywords

AMAZON'S MECHANICAL TURKS; COMMUNICATION STYLES; CONTROLLED EXPERIMENT; EXPERIMENTAL CONDITIONS; EXPERIMENTAL GROUPS; NOVICE PROGRAMMER; PERSONAL FAILURE; PERSONIFICATION; PROGRAMMING TOOLS; SIGNIFICANT IMPACTS; SOUND EFFECTS;

COMPUTER DEBUGGING; EDUCATION; MATHEMATICAL PROGRAMMING; MOTIVATION;

COMPUTER AIDED SOFTWARE ENGINEERING;

EID: 80053304064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2016911.2016934     Document Type: Conference Paper

References (50)

1. Amazon Mechanical Turk. http://www.mturk.com
2. Atlas, G.D., Taggart, T., & Goodell D.J. (2004). The effects of sensitivity to criticism on motivation and performance in music students, British J. of Music Ed., 21(1), 81-87.
3. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84: 191-215.
4. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory, Englewood Cliffs, NJ: Prentice-Hall.
5. Barnes, T., Richter, H., Powell, E., Chaffin, A., & Godwin, A. (2007). Game2Learn: building CS1 learning games for retention. ITiCSE, 121-225.
6. Beckwith, L., Burnett, M., & Cook, C., (2002). Reasoning about Many-to-Many Requirement Relationships in Spreadsheet Grids, IEEE VL/HCC, 149.
7. Begel, A. (1996). LogoBlocks: A Graphical Programming Language for Interacting with the World. EECS, MIT.
8. Boyce, A., & Barnes, T. (2010). BeadLoom Game: Using Game Elements to Increase Motivation and Learning. FDG, 25-31.
9. Braught, G., Eby, L.M., & Wahls, T. (2008). The effects of pair-programming on individual programming skill. SIGCSE, 200-204.
10. Bruckman, A. (1997). MOOSE Crossing: Construction, Community, and Learning in a Networked Virtual World for Kids. MIT Media Lab. Boston, MA.
11. Bruckman, A., Biggers, M., Ericson, B., McKlin, T., Dimond, J., DiSalvo, B., Hewner, M., Ni, L., & Yardi, S. (2009). Georgia Computes!: Improving the Computing Education Pipeline. SIGCSE, 86-89.
12. Chaffin, A., & Barnes. T (2010). Lessons from a course on serious games research and prototyping. FDG, 32-39.
13. Downs, JS., Holbrook, MB, Sheng, S., & Cranor, L.F. (2010). Are your participants gaming the system?: screening mechanical turk workers. ACM CHI, 2399-2402.
14. Dweck, C. S. (1999). Self-Theories: Their role in motivation, personality, and development. The Psychology Press.
15. Fenton, J. and Beck, K. (1989). Playground: An Object Oriented Simulation System with Agent Rules for Children of All Ages. ACM OOPSLA, 123-137.
16. Fitzgerald, S., Lewandowski, G., McCauley, R., Murphy, L., Simon, B., Thomas, L. and Zander, C., (2008) Debugging: finding, fixing, and flailing, a multi-institutional study of novice debuggers. Computer Science Education. v18. 93-116
17. Fogg, B. J., & Nass, C. (1997). How users reciprocate to computers: an experiment that demonstrates behavior change. ACM CHI, 331-332.
18. Gross, P. and Kelleher, C., (2010). Non-programmers identifying functionality in unfamiliar code: strategies and barriers. JVLC 21, 5, 263-276.
19. Harel, I. Children Designers. (1991) Ablex Publishing, N.J.
20. Hsieh, G., Kraut, RE, & Hudson, SE. (2010). Why pay?: exploring how financial incentives are used for question & answer. ACM CHI, 305-314.
21. Jeffries, R. (1982). A comparison of the debugging behavior of expert and novice programmers. AERA Annual Meeting.
22. Kay, A., Etoys and Simstories. http://www.squeakland.org
23. Kelleher, C. and Pausch, R. (2005). Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers. ACM CSUR, 37(2),83-137. (Pubitemid 41527574)
24. Kelleher, C., Pausch, R., & Kiesler, S. (2007). Storytelling Alice Motivates Middle School Girls to Learn Computer Programming. ACM CHI, 1455-1464.
25. Kinnunen, P., & Simon, B. (2010). Experiencing programming assignments in CS1: the emotional toll. ICER, 77-86.
26. Kittur, A., Chi, E.H., & Suh, BW. (2008). Crowdsourcing user studies with Mechanical Turk. ACM CHI, 453-456.
27. Klein, J., Moon, Y., Picard, R.W. (1999). This computer responds to user frustration. ACM CHI, 242-243.
28. Ko, A. J., Myers, B. A., & Aung, H. (2004). Six Learning Barriers in End-User Programming Systems. IEEE VL/HCC, 199-206.
29. Ko, A. J. & Myers B.A. (2009). Attitudes and Self-Efficacy in Young Adults' Computing Autobiographies. IEEE VL/HCC, 67-74.
30. Kulesza, A. (2009). Approximate learning for structured prediction problems. UPenn WPE-II Report.
31. Light-Bot. http://armorgames.com/play/2205/light-bot
32. Linderbaum, B. (2006) The Development and Validation of the Feedback Orientation Scale. J. of Management, 1372-1405.
33. Lionet, F., & Lamoureux, Y., Klik and Play, Maxis, 1994.
34. Logo Computer Systems, Inc., My Make Believe Castle, 1995.
35. Maloney, J., Resnick, M., Rusk, N., Silverman, B., Eastmond, E. (2010). The Scratch Programming Language and Environment. ACM TOCE.
36. McDowell, C., Werner, L., Bullock, H., & Fernald, J. (2002). The effects of pair-programming on performance in an introductory programming course. SIGCSE, 38-42.
37. MindStorms. http://www.mindstorms.lego.com
38. Murphy, L., Fitzgerald, S., Hanks, B., & McCauley, R. (2010) Pair debugging: a transactive discourse analysis. ICER, 51-58.
39. Murphy, L. and Thomas, L. (2008). Dangers of a fixed mindset: Implications of self-theories research for computer science education. ITiCSE, 271-275.
40. Nass, C., Fogg, B.J., & Moon, Y. (1996). Can computers be teammates? International J. of Human-Computer Studies, 45, 669-678. (Pubitemid 126374567)
41. Nass, C. (2000). Machines and Mindlessness: Social Responses to Computers. J. of Social Issues, 56, 81-103.
42. Pane, J. Myers, B.A., & Miller, L.B. (2002). Using HCI Techniques to Design a More Usable Programming System. IEEE VL/HCC, 198-206.
43. Papert, S. Mindstorms: Children, Computers, and Powerful Ideas. Basic Books New York, NY.
44. Resnick, M., Martin, F., Sargent, R., & Silverman, B. (1996). Programmable Bricks: Toys to Think With. IBM Systems J., vol. 35, no. 3-4, 443-452.
45. Roberts, T.A. (1991). Gender and the influence of evaluations on self-assessments in achievement settings. Psychological Bulletin, vol. 109(2), 297-308.
46. Ross, J., Irani, I., Silberman, M. Six, Zaldivar, A., & Tomlinson, B. (2010). Who are the Crowdworkers?: Shifting Demographics in Amazon Mechanical Turk. ACM CHI, 2863-2872.
47. Smith, D., Cypher, A., & Tesler, L. (2002). Programming by example: novice programming comes of age. CACM, 75-81.
48. Tanimoto, S., & Runyan, M. (1986). Play: an iconic programming system for children. Visual Programming Environments, 367-377.
49. Tarkan, S., Sazawal, V., Druin, A., Golub, E., Bonsignore, E.M., Walsh, G., & Atrash, Z. (2010). Toque: designing a cooking-based programming language for and with children. ACM CHI, 2417-2426.
50. Vihavainen, A., Paksula, M., & Luukkainen, M. (2011). Extreme apprenticeship method in teaching programming for beginners. SIGCSE, 93-98.