Extreme apprenticeship method in teaching programming for beginners

SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education

Volumn , Issue , 2011, Pages 93-98

  Vihavainen, Arto ^a   Paksula, Matti ^a   Luukkainen, Matti ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Best practices; Cognitive apprenticeship; Continuous feedback; Course material; Instructional design; Learning by doing; Motivation; Programming education

Indexed keywords

BEST-PRACTICES; COGNITIVE APPRENTICESHIP; CONTINUOUS FEEDBACK; COURSE MATERIAL; INSTRUCTIONAL DESIGNS; LEARNING BY DOING; PROGRAMMING EDUCATION;

APPRENTICES; COMPUTER SCIENCE; CURRICULA; EDUCATION COMPUTING; MANAGEMENT; MOTIVATION; TEACHING;

ENGINEERING EDUCATION;

EID: 79954427994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1953163.1953196     Document Type: Conference Paper

References (31)

1. O. Astrachan and D. Reed. AAA and CS 1: the applied apprenticeship approach to CS 1. In SIGCSE '95: Proceedings of the twenty-sixth SIGCSE technical symposium on Computer science education, pages 1-5. ACM, 1995.
2. A. Bandura. Social foundations of though and action: a social cognitive theory. Prentice-Hall, 1986.
3. K. Beck. Test Driven Development: By Example. Addison-Wesley, 2002.
4. K. Beck and C. Andres. Extreme Programming Explained: Embrace Change (2nd Edition). Addison-Wesley Professional, 2004.
5. S. Bergin and R. Reilly. The influence of motivation and comfort-level on learning to program. In Sroceedings of the 17th Workshop on Psychology of Programming, PPIG'05, 2005.
6. T. R. Black. Helping novice programming students succeed. J. Comput. Small Coll., 22(2):109-114, 2006.
7. R. E. Bruhn and P. J. Burton. An approach to teaching java using computers. SIGCSE Bull., 35(4):94-99, 2003.
8. M. E. Caspersen and J. Bennedsen. Instructional design of a programming course: a learning theoretic approach. In ICER '07: Proceedings of the third international workshop on Computing education research, pages 111-122. ACM, 2007. (Pubitemid 351203792)
9. A. Collins, J. Brown, and S. Newman. Cognitive apprenticeship: Teaching the craft of reading, writing and mathematics. In Knowing, Learning and Instruction: Essays in honor of Robert Glaser. Hillside, 1989.
10. A. Collins, J. S. Brown, and A. Holum. Cognitive apprenticeship: making thinking visible. American Educator, 6:38-46, 1991.
11. S. Grissom and M. J. Van Gorp. A practical approach to integrating active and collaborative learning into the introductory computer science curriculum. In Proceedings of the seventh annual consortium on Computing in small colleges midwestern conference, pages 95-100, USA, 2000. Consortium for Computing Sciences in Colleges.
12. M. Hassinen and H. Mäyrä. Learning programming by programming: a case study. In Baltic Sea '06: Proceedings of the 6th Baltic Sea conference on Computing education research: Koli Calling 2006, pages 117-119. ACM, 2006.
13. C. Heines. http://katas.softwarecraftsmanship.org/.
14. K. Huffman and M. Vernoy. Psychology in Action. Wiley, 2003.
15. T. Jenkins. The motivation of students of programming. In ITiCSE '01: Proceedings of the 6th annual conference on Innovation and technology in computer science education, pages 53-56. ACM, 2001. (Pubitemid 35476243)
16. M. Kölling and D. J. Barnes. Enhancing apprentice-based learning of java. In SIGCSE '04: Proceedings of the 35th SIGCSE technical symposium on Computer science education, pages 286-290. ACM, 2004. (Pubitemid 43773254)
17. M. R. Lepper. Motivational considerations in the study of instruction. Cognition and Instruction, 5(4):289-309, 1988.
18. L. Lumsden. Motivation, Cultivating a Love of Learning. ERIC Clearinghouse on Educational Management, University of Oregon, 1999.
19. R. Martin. Review of the Pete McBreen's book Software Craftmanship, http://www.mcbreen.ab.ca/SoftwareCraftsmanship/.
20. R. E. C. Paul A. Kirschner, John Sweller. Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, problem-based, experiental, and inquiry-based teaching. Educational Psychologist, 41(2):75-86, 2006. (Pubitemid 43837408)
21. A. Pears, S. Seidman, L. Malmi, L. Mannila, E. Adams, J. Bennedsen, M. Devlin, and J. Paterson. A survey of literature on the teaching of introductory programming. In ITiCSE-WGR '07: Working group reports on ITiCSE on Innovation and technology in computer science education, pages 204-223. ACM, 2007.
22. D. Perkins, C. Hancock, R. Hobbins, F. Marsin, and R. Simmons. Conditions of learning in novice programmers. In Studying the novice programmer, pages 261-279. Lawrence Erlbaum, 1989.
23. A. Robins, J. Rountree, and N. Rountree. Learning and teaching programming: A review and discussion. Computer Science Education, 13:137-172, 2003.
24. H. Roumani. Design guidelines for the lab component of objects-first cs1. In SIGCSE '02: Proceedings of the 33rd SIGCSE technical symposium on Computer science education, pages 222-226. ACM, 2002. (Pubitemid 34991390)
25. J. C. Spohrer and E. Soloway. Novice mistakes: are the folk wisdoms correct? Commun. ACM, 29(7):624-632, 1986.
26. D. Stipek. Motivation to Learn: From theory to practice. Prentice Hall, 1988.
27. L. S. Vygotsky. Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge, MA, 1978.
28. K. J. Whittington. Infusing active learning into introductory programming courses. J. Comput. Small Coll., 19(5):249-259, 2004.
29. S. Wiedenbeck, D. LaBelle, and V. Kain. Factors affecting course outcomes in introductory programming. In Workshop on Psychology of Programming, PPIG'04, pages 97-109, 2004.
30. B. C. Wilson and S. Shrock. Contributing to success in an introductory computer science course: a study of twelve factors. In SIGCSE '01: Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education, pages 184-188. ACM, 2001. (Pubitemid 32499183)
31. L. Winslow. Programming psychology - a psychological overview. SIGCSE Bulletin, 27:17-22, 1996.