Conference paper 2023

Computing Students' Understanding of Dispositions: A Qualitative Study

Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Conference · Vol. 1 · pp. 103-109
Abstract

Dispositions, along with skills and knowledge, form the three components of competency-based education. Moreover, studies have shown dispositions to be necessary for a successful career. However, unlike evidence-based teaching and learning approaches for knowledge acquisition and skill development, few studies focus on translating dispositions into observable behavioral patterns. An operationalization of dispositions, however, is crucial for students to understand and achieve respective learning outcomes in computing courses. This paper describes a multi-institutional study investigating students' understanding of dispositions in terms of their behaviors while completing coursework. Students in six computing courses at four different institutions filled out a survey describing an instance of applying each of the five surveyed dispositions (adaptable, collaborative, persistent, responsible, and self-directed) in the courses' assignments. The authors evaluated data by using Mayring's qualitative content analysis. The result was a coding scheme with categories summarizing students' concepts of dispositions and how they see themselves applying dispositions in the context of computing. These results are a first step in understanding dispositions in computing education and how they manifest in student behavior. This research has implications for educators developing new pedagogical approaches to promote and facilitate dispositions. Moreover, the operationalized behaviors constitute a starting point for new assessment strategies of dispositions. © 2023 ACM.

Keywords

Author Keywords

Competencies Student perspective qualitative analysis CC2020 Computing Curricula dispositions

Index Keywords

Teaching Curricula Competency Students Behavioral research qualitative analysis Evidence-based Qualitative study Cc2020 computing curriculum Computing curricula Disposition Student perspectives Computing course Three-component
Author Affiliations
Deutsches Institut für Internationale Pädagogische Forschung, Frankfurt am Main, Hessen, Germany
Ramapo College of New Jersey, Mahwah, NJ, United States
St. John's University, Queens, NY, United States
College of Charleston, Charleston, SC, United States
University of New Hampshire Manchester, Manchester, NH, United States
Hofstra University, Hempstead, NY, United States
Rochester Institute of Technology, Rochester, NY, United States
Funding & Acknowledgements
National Science Foundation, NSF
Grant: 2215166, 2215970, 2216031, DUE-2216121
Partial support for this work was provided by the National Science Foundation under grants DUE-2216121, 2216031, 2215970 and 2215166.
National Science Foundation, NSF
Partial support for this work was provided by the National Science Foundation under grants DUE-2216121, 2216031, 2215970 and 2215166.
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