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Helping Engineering Students Learn in Introductory Computer Science (CS1) Using Computational Creativity Exercises (CCEs) | IEEE Journals & Magazine | IEEE Xplore

Helping Engineering Students Learn in Introductory Computer Science (CS1) Using Computational Creativity Exercises (CCEs)


Abstract:

Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students' learning in introductory computer science (CS...Show More

Abstract:

Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students' learning in introductory computer science (CS1) courses. Its main contribution is its more rigorous treatment/control group research design that allows testing for causal influences of CCEs on student learning and performance. Background: Computer science (CS) courses are critical foundational courses for engineering students. CCEs that merge computational and creative thinking have been shown to increase achievement and learning of engineering and nonengineering students in CS1 courses, but previous research has used quasi- and non-experimental designs. Intended Outcomes: CCEs are intended to improve students' learning of CS1 content and problem-solving ability by fostering computational creativity. Application Design: CCEs can improve student learning and can be used to supplement other evidence-based instructional practices. Findings: Propensity score matching was used to create equivalent treatment and control groups; results show that students in the CCE implementation section had higher scores on a CS knowledge test than students in the control section, but not higher self-efficacy for their CS knowledge. Focus group and open-ended survey questions indicated that students had mixed reactions to the CCEs, with about half the students seeing them as improving their learning, understanding, and ability to apply CS in their engineering field. Responses also reinforced the importance of fully incorporating CCEs in courses and aligning them with course topics.
Published in: IEEE Transactions on Education ( Volume: 61, Issue: 3, August 2018)
Page(s): 195 - 203
Date of Publication: 27 February 2018

ISSN Information:

Funding Agency:

Department of Educational Psychology, University of Nebraska–Lincoln, Lincoln, NE, USA
Markeya S. Peteranetz is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. Her research interest includes students’ self-regulated learning and motivation.
Markeya S. Peteranetz is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. Her research interest includes students’ self-regulated learning and motivation.View more
Department of Educational Psychology, University of Nebraska–Lincoln, Lincoln, NE, USA
Abraham E. Flanigan is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interest includes college students’ self-regulated learning and motivation.
Abraham E. Flanigan is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interest includes college students’ self-regulated learning and motivation.View more
Department of Educational Psychology, University of Nebraska–Lincoln, Lincoln, NE, USA
Duane F. Shell is a Research Professor with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interests include human cognition and motivation in educational and health settings.
Duane F. Shell is a Research Professor with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interests include human cognition and motivation in educational and health settings.View more
Department of Computer Science and Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Leen-Kiat Soh is a Professor with the Department of Computer Science and Engineering, University of Nebraska–Lincoln. His research interests include multiagent systems, computer science education, computer-aided education systems, intelligent agents, and image processing and analysis.
Leen-Kiat Soh is a Professor with the Department of Computer Science and Engineering, University of Nebraska–Lincoln. His research interests include multiagent systems, computer science education, computer-aided education systems, intelligent agents, and image processing and analysis.View more

Department of Educational Psychology, University of Nebraska–Lincoln, Lincoln, NE, USA
Markeya S. Peteranetz is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. Her research interest includes students’ self-regulated learning and motivation.
Markeya S. Peteranetz is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. Her research interest includes students’ self-regulated learning and motivation.View more
Department of Educational Psychology, University of Nebraska–Lincoln, Lincoln, NE, USA
Abraham E. Flanigan is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interest includes college students’ self-regulated learning and motivation.
Abraham E. Flanigan is currently pursuing the Ph.D. degree with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interest includes college students’ self-regulated learning and motivation.View more
Department of Educational Psychology, University of Nebraska–Lincoln, Lincoln, NE, USA
Duane F. Shell is a Research Professor with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interests include human cognition and motivation in educational and health settings.
Duane F. Shell is a Research Professor with the Department of Educational Psychology, University of Nebraska–Lincoln. His research interests include human cognition and motivation in educational and health settings.View more
Department of Computer Science and Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Leen-Kiat Soh is a Professor with the Department of Computer Science and Engineering, University of Nebraska–Lincoln. His research interests include multiagent systems, computer science education, computer-aided education systems, intelligent agents, and image processing and analysis.
Leen-Kiat Soh is a Professor with the Department of Computer Science and Engineering, University of Nebraska–Lincoln. His research interests include multiagent systems, computer science education, computer-aided education systems, intelligent agents, and image processing and analysis.View more
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