research-article

COOL Programming: Improving Introductory Programming Education through Cooperative Open Learning

Authors:

Barbara Sabitzer,

Johannes Sametinger,

Heike Demarle-MeuselAuthors Info & Claims

ICEIT 2020: Proceedings of the 2020 9th International Conference on Educational and Information Technology

Pages 95 - 101

https://doi.org/10.1145/3383923.3383943

Published: 23 April 2020 Publication History

Abstract

COOL -- Cooperative Open Learning -- is part of a teaching approach that uses brain-supporting teaching methods and materials to reduce drop-out rates and improve the learning outcomes of introductory programming courses. Cooperative learning, one crucial principle of the concept, takes several forms, such as peer tutoring, pair programming, and talent exchange. In this paper, we describe the COOL Programming approach, its neurodidactical background, and the qualitative and quantitative results gained so far at our university. Starting in programming courses in our Business Informatics bachelor program, we have observed after two terms improvements compared to previous years and to reference groups, with improved learning outcomes (exam results) and reduced dropout rates.

References

[1]

Jens Bennedsen and Michael E Caspersen. 2007. Failure rates in introductory programming. ACM SIGcSE Bulletin 39, 2 (2007), 32--36.

[2]

Micaela Esteves, Benjamim Fonseca, Leonel Morgado, and Paulo Martins. 2011. Improving teaching and learning of computer programming through the use of the Second Life virtual world. British Journal of Educational Technology 42, 4 (2011), 624--637.

[3]

Kurt W Fischer. 2009. Mind, brain, and education: building a scientific groundwork for learning and teaching1. Mind, Brain, and Education 3, 1 (2009), 3--16.

[4]

Bettina Greimel-Fuhrmann. 2006. Was ist und was kann Cooperatives Offenes Lernen (COOL)? Neues Unterrichtskonzept. Charakteristika, Chancen und Risiken. Technical Report. wissenplus 3-06/07. Retrieved from: http://www.wissenistmanz.at/wissenplus....

[5]

Mark Guzdial and Elliot Soloway. 2002. Teaching the Nintendo Generation to Program. Commun. ACM 45, 4 (April 2002), 17--21. https://doi.org/10.1145/505248.505261

[6]

Ulrich Hermann. 2009. Neurodidaktik. Grundlagen und Vorschläge für gehirngerechtes Lernen (2. überarb. Aufl.).

[7]

Eric Jensen. 2008. Brain-based learning: The new paradigm of teaching. Corwin Press.

[8]

B Kaučič and T Asič. 2011. Improving introductory programming with Scratch?. In 2011 Proceedings of the 34th International Convention MIPRO. IEEE, 1095-1100.

[9]

Theodora Koulouri, Stanislao Lauria, and Robert D Macredie. 2015. Teaching introductory programming: a quantitative evaluation of different approaches. ACM Transactions on Computing Education (TOCE) 14, 4 (2015), 26.

[10]

Essi Lahtinen, Kirsti Ala-Mutka, and Hannu-Matti Järvinen. 2005. A study of the difficulties of novice programmers. Acm Sigcse Bulletin 37, 3 (2005), 14--18.

[11]

Mercedes Lorenzo, Catherine H Crouch, and Eric Mazur. 2006. Reducing the gender gap in the physics classroom. American Journal of Physics 74, 2 (2006), 118--122.

[12]

Lucia Mason. 2009. Bridging neuroscience and education: A two-way path is possible. cortex 45, 4 (2009), 548--549.

[13]

Bruce D McCandliss. 2010. Educational neuroscience: The early years. Proceedings of the National Academy of Sciences 107, 18 (2010), 8049--8050.

[14]

Shafinah Farvin Packeer Mohamed. 2017. Enhancing student's interest and achievement in programming 1 subject through pair programming. (2017).

[15]

Peter Mozelius. 2012. The Gap between Generation Y and Lifelong Learners in Programming Courses-how to Bridge Between Different Learning Styles. Open Learning Generations: Closing the Gap from" Generation Y" to the Mature Lifelong Learners. EDEN 2012 (2012).

[16]

Walter J Ong. 1981. Fighting for life: Contest. Sexuality and Consciousness (Ithaca, 1981) (1981).

[17]

Mark C Paulk. 2001. Extreme programming from a CMM perspective. IEEE software 18, 6 (2001), 19--26.

[18]

Gerhard Roth. 2004. Warum sind Lehren und Lernen so schwierig. Zeitschrift für Pädagogik 50, 4 (2004), 496--506.

[19]

Barbara Sabitzer. 2014. A Neurodidactical Approach to Cooperative and Crosscurricular Open Learning: COOL Informatics. Habilitation thesis. Alpen-Adria-University Klagenfurt.

[20]

Barbara Sabitzer and Stefan Pasterk. 2014. Brain-based teaching in programming courses. In Innovation and Technology in Computer Science Education Conference 2014, ITiCSE '14, Uppsala, Sweden, June 23-25, 2014, Åsa Cajander, Mats Daniels, Tony Clear, and Arnold Pears (Eds.). ACM, 355. https://doi.org/10.1145/2591708.2602674

[21]

Barbara Sabitzer and Sandra Strutzmann. 2013. Brain-based Programming. In IEEE Frontiers in Education Conference, FIE 2013, Oklahoma City, Oklahoma, USA, October 23-26, 2013, Randa L. Shehab, James J. Sluss, and Deborah Anne Trytten (Eds.). IEEE Computer Society, 1163--1169. https://doi.org/10.1109/FIE.2013.6685013

[22]

Barbara Sabitzer and Sandra Strutzmann. 2013. Brain-based programming: a new concept for computer science education. In Innovation and Technology in Computer Science Education conference 2013, ITiCSE '13, Canterbury, United Kingdom - July 01 - 03, 2013, Janet Carter, Ian Utting, and Alison Clear (Eds.). ACM, 345. https://doi.org/10.1145/2462476.2488328

[23]

Wendy Schwartz and Katherine Hanson. 1992. Equal Mathematics Education for Female Students. ERIC/CUE Digest, Number 78. (1992).

[24]

Michelle K Smith, William B Wood, Wendy K Adams, Carl Wieman, Jennifer K Knight, Nancy Guild, and Tin Tin Su. 2009. Why peer discussion improves student performance on in-class concept questions. Science 323, 5910 (2009), 122--124.

[25]

David A Sousa. 2009. How the gifted brain learns. Corwin Press.

[26]

Manfred Spitzer. 2002. Lernen. Gehirnforschung und die Schule des Lebens. Heidelberg: Spektrum (2002).

[27]

Arto Vihavainen, Jonne Airaksinen, and Christopher Watson. 2014. A systematic review of approaches for teaching introductory programming and their influence on success. In Proceedings of the tenth annual conference on International computing education research. ACM, 19--26.

[28]

Christopher Watson and Frederick WB Li. 2014. Failure rates in introductory programming revisited. In Proceedings of the 2014 conference on Innovation & technology in computer science education. ACM, 39--44.

[29]

Aharon Yadin. 2011. Reducing the dropout rate in an introductory programming course. ACM inroads 2, 4 (2011), 71--76.

Cited By

Groher IVierhauser MSabitzer BKuka LHofer AMuster DPéraire CSerebrenik A(2022)Exploring diversity in introductory programming classesProceedings of the ACM/IEEE 44th International Conference on Software Engineering: Software Engineering Education and Training10.1145/3510456.3514155(102-112)Online publication date: 21-May-2022
https://dl.acm.org/doi/10.1145/3510456.3514155

Index Terms

COOL Programming: Improving Introductory Programming Education through Cooperative Open Learning

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cover image ACM Other conferences

ICEIT 2020: Proceedings of the 2020 9th International Conference on Educational and Information Technology

February 2020

268 pages

ISBN:9781450375085

DOI:10.1145/3383923

Copyright © 2020 ACM.

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University of Thessaly: University of Thessaly, Volos, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 April 2020

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ICEIT 2020: 2020 9th International Conference on Educational and Information Technology

February 11 - 13, 2020

Oxford, United Kingdom

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Cited By

Groher IVierhauser MSabitzer BKuka LHofer AMuster DPéraire CSerebrenik A(2022)Exploring diversity in introductory programming classesProceedings of the ACM/IEEE 44th International Conference on Software Engineering: Software Engineering Education and Training10.1145/3510456.3514155(102-112)Online publication date: 21-May-2022
https://dl.acm.org/doi/10.1145/3510456.3514155

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