Computational Thinking in Problem Based Learning: Exploring the reciprocal potential

Sandra Burri Gram-Hansen; Tanja Svarre Jonasen

doi:10.1007/978-3-030-29736-7_42

Computational Thinking in Problem Based Learning: Exploring the reciprocal potential

Sandra Burri Gram-Hansen^*, Tanja Svarre Jonasen

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

This paper presents the initial insights from a study in which we explored the relation between computational thinking (CT) and problem-based learning in higher education. CT skills are increasingly recognized as a necessity to all lines of study, as they not only facilitate digital proficiency, but potentially also a sense of computational empowerment and an ability to take a critical and constructive approach to applying computers when solving complex problems. The distinct focus on higher education is routed in theoretical as well as empirically based challenges, as this particular group of learners for the vast majority have started their education in a mainly analogue learning setting, yet now face employments with a much stronger demand for digital competences. The discussions presented in this paper takes its point of departure in the Aalborg PBL-model.

Original language	English
Title of host publication	Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings : Transforming Learning with Meaningful Technologies. EC-TEL 2019
Editors	Maren Scheffel, Julien Broisin, Viktoria Pammer-Schindler, Andri Ioannou, Jan Schneider
Number of pages	4
Publisher	Springer
Publication date	2019
Pages	573-576
ISBN (Print)	978-3-030-29735-0
ISBN (Electronic)	978-3-030-29736-7
DOIs	https://doi.org/10.1007/978-3-030-29736-7_42
Publication status	Published - 2019
Event	Fourteenth European Conference On Technology Enhanced Learning: Transforming Learning With Meaningful Technologies - TUDelft, Delft, Netherlands Duration: 16 Sept 2019 → 19 Sept 2019 Conference number: 14 http://ectel2019.httc.de/index.php?id=918

Conference

Conference	Fourteenth European Conference On Technology Enhanced Learning
Number	14
Location	TUDelft
Country/Territory	Netherlands
City	Delft
Period	16/09/2019 → 19/09/2019
Internet address	http://ectel2019.httc.de/index.php?id=918

Series	Lecture Notes in Computer Science
Volume	11722
ISSN	0302-9743

Keywords

Computational Thinking
Digital empowerment
Digital skills
Learning process recognition
Problem based learning

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10.1007/978-3-030-29736-7_42

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Cite this

Gram-Hansen, S. B., & Jonasen, T. S. (2019). Computational Thinking in Problem Based Learning: Exploring the reciprocal potential . In M. Scheffel, J. Broisin, V. Pammer-Schindler, A. Ioannou, & J. Schneider (Eds.), Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings: Transforming Learning with Meaningful Technologies. EC-TEL 2019 (pp. 573-576). Springer. https://doi.org/10.1007/978-3-030-29736-7_42

Gram-Hansen, Sandra Burri ; Jonasen, Tanja Svarre. / Computational Thinking in Problem Based Learning : Exploring the reciprocal potential . Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings: Transforming Learning with Meaningful Technologies. EC-TEL 2019. editor / Maren Scheffel ; Julien Broisin ; Viktoria Pammer-Schindler ; Andri Ioannou ; Jan Schneider. Springer, 2019. pp. 573-576 (Lecture Notes in Computer Science, Vol. 11722).

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abstract = "This paper presents the initial insights from a study in which we explored the relation between computational thinking (CT) and problem-based learning in higher education. CT skills are increasingly recognized as a necessity to all lines of study, as they not only facilitate digital proficiency, but potentially also a sense of computational empowerment and an ability to take a critical and constructive approach to applying computers when solving complex problems. The distinct focus on higher education is routed in theoretical as well as empirically based challenges, as this particular group of learners for the vast majority have started their education in a mainly analogue learning setting, yet now face employments with a much stronger demand for digital competences. The discussions presented in this paper takes its point of departure in the Aalborg PBL-model.",

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Gram-Hansen, SB & Jonasen, TS 2019, Computational Thinking in Problem Based Learning: Exploring the reciprocal potential . in M Scheffel, J Broisin, V Pammer-Schindler, A Ioannou & J Schneider (eds), Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings: Transforming Learning with Meaningful Technologies. EC-TEL 2019. Springer, Lecture Notes in Computer Science, vol. 11722, pp. 573-576, Fourteenth European Conference On Technology Enhanced Learning, Delft, Netherlands, 16/09/2019. https://doi.org/10.1007/978-3-030-29736-7_42

Computational Thinking in Problem Based Learning: Exploring the reciprocal potential . / Gram-Hansen, Sandra Burri ; Jonasen, Tanja Svarre.
Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings: Transforming Learning with Meaningful Technologies. EC-TEL 2019. ed. / Maren Scheffel; Julien Broisin; Viktoria Pammer-Schindler; Andri Ioannou; Jan Schneider. Springer, 2019. p. 573-576 (Lecture Notes in Computer Science, Vol. 11722).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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T1 - Computational Thinking in Problem Based Learning

T2 - Fourteenth European Conference On Technology Enhanced Learning

AU - Gram-Hansen, Sandra Burri

AU - Jonasen, Tanja Svarre

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AB - This paper presents the initial insights from a study in which we explored the relation between computational thinking (CT) and problem-based learning in higher education. CT skills are increasingly recognized as a necessity to all lines of study, as they not only facilitate digital proficiency, but potentially also a sense of computational empowerment and an ability to take a critical and constructive approach to applying computers when solving complex problems. The distinct focus on higher education is routed in theoretical as well as empirically based challenges, as this particular group of learners for the vast majority have started their education in a mainly analogue learning setting, yet now face employments with a much stronger demand for digital competences. The discussions presented in this paper takes its point of departure in the Aalborg PBL-model.

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Gram-Hansen SB , Jonasen TS. Computational Thinking in Problem Based Learning: Exploring the reciprocal potential . In Scheffel M, Broisin J, Pammer-Schindler V, Ioannou A, Schneider J, editors, Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings: Transforming Learning with Meaningful Technologies. EC-TEL 2019. Springer. 2019. p. 573-576. (Lecture Notes in Computer Science, Vol. 11722). doi: 10.1007/978-3-030-29736-7_42

Computational Thinking in Problem Based Learning: Exploring the reciprocal potential

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