Computing Students' Understanding of Dispositions: A Qualitative Study

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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.

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APA

Kiesler, N., Mackellar, B. K., Kumar, A. N., McCauley, R., Raj, R. K., Sabin, M., & Impagliazzo, J. (2023). Computing Students’ Understanding of Dispositions: A Qualitative Study. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (Vol. 1, pp. 103–109). Association for Computing Machinery. https://doi.org/10.1145/3587102.3588797

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