research-article

Extreme apprenticeship method: key practices and upward scalability

Authors:

Arto Vihavainen,

Matti Luukkainen,

Jaakko KurhilaAuthors Info & Claims

ITiCSE '11: Proceedings of the 16th annual joint conference on Innovation and technology in computer science education

Pages 273 - 277

https://doi.org/10.1145/1999747.1999824

Published: 27 June 2011 Publication History

Abstract

Programming is a craft that can be efficiently learned from people who already master it. Our previous work introduced a teaching method we call Extreme Apprenticeship (XA), an extension to the cognitive apprenticeship model. XA is based on a set of values that emphasize doing and best programming practices, together with continuous feedback between the master and the apprentice. Most importantly, XA is individual instruction that can be applied even in large courses. Our initial experiments (n = 67 and 44) resulted in a significant increase in student achievement level compared to previous courses. In this paper, we reinforce the validity of XA by larger samples (n = 192 and 147) and a different lecturer. The results were similarly successful and show that the application of XA can easily suffer if the core values are not fully adhered to.

References

[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.

Digital Library

[2]

T. R. Black. Helping novice programming students succeed. J. Comput. Small Coll., 22(2):109--114, 2006.

Digital Library

[3]

R. E. Bruhn and P. J. Burton. An approach to teaching java using computers. SIGCSE Bull., 35(4):94--99, 2003.

Digital Library

[4]

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.

Digital Library

[5]

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.

[6]

A. Collins, J. S. Brown, and A. Holum. Cognitive apprenticeship: making thinking visible. American Educator, 6:38--46, 1991.

[7]

P. A. Kirschner, J. Sweller, and R. E. Clark. 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.

[8]

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.

Digital Library

[9]

R. Martin. Clean Code: A Handbook of Agile Software Craftsmanship. Prentice Hall, 2008.

Digital Library

[10]

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.

Digital Library

[11]

A. Robins, J. Rountree, and N. Rountree. Learning and teaching programming: A review and discussion. Computer Science Education, 13:137--172, 2003.

[12]

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.

Digital Library

[13]

J. C. Spohrer and E. Soloway. Novice mistakes: are the folk wisdoms correct? Commun. ACM, 29(7):624--632, 1986.

Digital Library

[14]

A. Vihavainen, M. Paksula, and M. Luukkainen. Extreme apprenticeship method in teaching programming for beginners. In SIGCSE '11: Proceedings of the 42nd SIGCSE technical symposium on Computer science education, 2011.

Digital Library

[15]

L. S. Vygotsky. Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge, MA, 1978.

[16]

L. Winslow. Programming psychology - a psychological overview. SIGCSE Bulletin, 27:17--22, 1996.

Digital Library

Cited By

Hopcan SPolat EAlbayrak E(2022)Whether to flip Extreme Apprenticeship: which is more effective in programming instruction?Education and Information Technologies10.1007/s10639-022-11055-y27:8(10731-10756)Online publication date: 20-Apr-2022
https://doi.org/10.1007/s10639-022-11055-y
Campbell JCraig M(2018)Drop-In Help CentresProceedings of the 23rd Western Canadian Conference on Computing Education10.1145/3209635.3209642(1-6)Online publication date: 4-May-2018
https://dl.acm.org/doi/10.1145/3209635.3209642
Fagerholm FHellas ALuukkainen MKyllonen KYaman SMaenpaa H(2017)Patterns for Designing and Implementing an Environment for Software Start-Up Education2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA.2017.67(133-140)Online publication date: Aug-2017
https://doi.org/10.1109/SEAA.2017.67
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Index Terms

Extreme apprenticeship method: key practices and upward scalability
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Published In

cover image ACM Conferences

ITiCSE '11: Proceedings of the 16th annual joint conference on Innovation and technology in computer science education

June 2011

418 pages

ISBN:9781450306973

DOI:10.1145/1999747

General Chair:
Guido Rößling
TU Darmstadt, Germany
,
Program Chairs:
Tom Naps
University of Wisconsin Oshkosh, USA
,
Christian Spannagel
PH Heidelberg, Germany

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2011

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ITiCSE '11: Annual Conference on Innovation and Technology in Computer Science Education

June 27 - 29, 2011

Darmstadt, Germany

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

Hopcan SPolat EAlbayrak E(2022)Whether to flip Extreme Apprenticeship: which is more effective in programming instruction?Education and Information Technologies10.1007/s10639-022-11055-y27:8(10731-10756)Online publication date: 20-Apr-2022
https://doi.org/10.1007/s10639-022-11055-y
Campbell JCraig M(2018)Drop-In Help CentresProceedings of the 23rd Western Canadian Conference on Computing Education10.1145/3209635.3209642(1-6)Online publication date: 4-May-2018
https://dl.acm.org/doi/10.1145/3209635.3209642
Fagerholm FHellas ALuukkainen MKyllonen KYaman SMaenpaa H(2017)Patterns for Designing and Implementing an Environment for Software Start-Up Education2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA.2017.67(133-140)Online publication date: Aug-2017
https://doi.org/10.1109/SEAA.2017.67
Del Fatto VDodero GGennari R(2016)How measuring student performances allows for measuring blended extreme apprenticeship for learning Bash programmingComputers in Human Behavior10.5555/2873833.287409855:PB(1231-1240)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.5555/2873833.2874098
Rämö JVikberg T(2014)Extreme Apprenticeship – Engaging undergraduate students on a mathematics courseEuropean Journal of Science and Mathematics Education10.30935/scimath/96232:2A(26-33)Online publication date: 2014
https://doi.org/10.30935/scimath/9623
Fatto VDodero GGennari R(2014)Assessing Student Perception of Extreme Apprenticeship for Operating SystemsProceedings of the 2014 IEEE 14th International Conference on Advanced Learning Technologies10.1109/ICALT.2014.137(459-460)Online publication date: 7-Jul-2014
https://dl.acm.org/doi/10.1109/ICALT.2014.137
Hu HShepherd T(2013)Using POGIL to help students learn to programACM Transactions on Computing Education10.1145/2499947.249995013:3(1-23)Online publication date: 16-Aug-2013
https://dl.acm.org/doi/10.1145/2499947.2499950
Fagerholm FOza NMunch J(2013)A platform for teaching applied distributed software development: The ongoing journey of the Helsinki software factory2013 3rd International Workshop on Collaborative Teaching of Globally Distributed Software Development (CTGDSD)10.1109/CTGDSD.2013.6635237(1-5)Online publication date: May-2013
https://doi.org/10.1109/CTGDSD.2013.6635237
Vikberg TVihavainen ALuukkainen MKurhila J(2013)Early Start in Software CoachingAgile Processes in Software Engineering and Extreme Programming10.1007/978-3-642-38314-4_2(16-30)Online publication date: 2013
https://doi.org/10.1007/978-3-642-38314-4_2
Luukkainen MVihavainen AVikberg TConnolly RArmitage W(2012)Three years of design-based research to reform a software engineering curriculumProceedings of the 13th annual conference on Information technology education10.1145/2380552.2380613(209-214)Online publication date: 11-Oct-2012
https://dl.acm.org/doi/10.1145/2380552.2380613
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