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Towards an Implementation of a Peer-Learning and Peer-Teaching Group in Programming

Published: 15 June 2020 Publication History

Abstract

Many people believe that programming is hard. This might appear true, when looking at the education, but not necessarily due to the subject itself. Often, the complexity lies in mathematical problems that can be hard to comprehend or relate to for students. Due to the current structure concerning exams, high drop-out rates are seen at university level, with students either leaving university or changing subjects. Moreover, a major gender-gap can be seen. This in turn leaves society with a growing shortage of educated programmers. Aiming to tackle this, a COOL (cooperative open learning) concept has been established, where students engage in a weekly, peer-learning and peer-teaching course. The course focuses on software development, and utilizes the COOL concept of peer-learning and peer-teaching. This concept has already been applied successfully as part of the Business Informatics bachelor program at the Johannes Kepler University (JKU) in Linz, where it throughout its three running years have seen a decrease in dropouts. The connection between the implementation of the program and the lowered drop-out rate requires further observations to be established.

References

[1]
David Boud. 2001. Making the Move to Peer Learning Uncovering Learning at Work View project Investigating the invisibility of writing practices in the engineering curriculum View project. Technical Report. https://www.researchgate.net/publication/309967818
[2]
David Boud, Ruth Cohen, and Jane Sampson. 1999. Peer learning and assessment . Assessment and Evaluation in Higher Education, Vol. 24, 4 (1999), 413--426. https://doi.org/10.1080/0260293990240405
[3]
Barbara Sabitzer. 2014. A Neurodidactical Approach to Cooperative and Cross-Curricular Open Learning: COOL Informatics. Habilitation. Alpen-Adria-University Klagenfurt.

Cited By

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  • (2024)Cooperative Learning Approach Perspective in Gender EqualityArtificial Intelligence and Machine Learning-Powered Smart Finance10.4018/979-8-3693-3264-1.ch016(245-257)Online publication date: 19-Apr-2024
  • (2022)Data Science Course Projects with Peer ChallengesProceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 110.1145/3502718.3524743(89-95)Online publication date: 7-Jul-2022

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Published In

cover image ACM Conferences
ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education
June 2020
615 pages
ISBN:9781450368742
DOI:10.1145/3341525
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2020

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Author Tags

  1. cool
  2. peer-learning
  3. peer-teaching
  4. programming
  5. stem
  6. talents exchange

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Cited By

View all
  • (2024)Cooperative Learning Approach Perspective in Gender EqualityArtificial Intelligence and Machine Learning-Powered Smart Finance10.4018/979-8-3693-3264-1.ch016(245-257)Online publication date: 19-Apr-2024
  • (2022)Data Science Course Projects with Peer ChallengesProceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 110.1145/3502718.3524743(89-95)Online publication date: 7-Jul-2022

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