Spelling suggestions: "subject:"computational thinking (CT)"" "subject:"eomputational thinking (CT)""
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Computational Thinking Skills: Teacher Readiness for ChangeDeepti Chandrashekhar Tagare (18136462) 18 April 2024 (has links)
<p dir="ltr">This dissertation includes three manuscripts that explore the construct of teacher-readiness for integration of computational thinking (CT) skills in their teaching. The first manuscript is a retrospective observational study that builds a binomial regression model to predict teachers’ competence in CT procedural skills using factors such as number of professional development trainings taken, time since last training, subject taught, educational background, teaching experience, and whether they currently teach CT. This study provides insights for professional development providers to better design CT trainings. Some of these insights are then incorporated in the second study which is a design case of an online gamified professional development for K-12 teachers. The second paper provides design precedents for professional development providers of CT for better CT integration in K-12 education. The third study is a phenomenological multiple case study that investigates teachers’ CT self-efficacy, autonomous motivation, and goal relevance beliefs towards CT. It captures teachers’ understanding of what CT is and what its value is to the subjects that they teach. Together, the three studies holistically understand teacher readiness for integration of CT through teachers’ own perspective and provide key insights into how they can be better prepared for this change.</p>
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EXPLORING HIGH SCHOOL COMPUTER SCIENCE TEACHERS' UNDERSTANDING OF COMPUTATIONAL THINKING WITHIN STEM EDUCATIONChristian David Will Pinto Sr (12884630) 29 July 2022 (has links)
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<p>This research study aims to explore the understanding and implementation of CT and its core concepts by CS High School teachers. This research study examined CS teachers' understanding of CT’s core concepts; a) decomposition, b) pattern recognition, c) abstraction and d) algorithm design. Furthermore, the study also explores how these CS teachers applied these core concepts to their instructional practice. </p>
<p>The qualitative case study utilized the Pedagogical Content Knowledge (PCK) framework as a lens to explore the teachers’ understanding. For this qualitative research study, purposeful sampling was employed to recruit participants with specific knowledge or experience about a topic of interest. In-depth semi-structured interviews were performed with five CS high school teachers for data collection. The researcher used coding and thematic analysis to analyze the data. Teachers shared their understanding of CT, its core concepts, and how they incorporate these into their instructional practice.</p>
<p>The findings in the study present the different understandings of the teachers regarding CT’s core concepts and how each of them applied such concepts through different pedagogical approaches to their instructional practice. The findings in the study could provide an opportunity for high school teachers to explore different understandings from other high school teachers and potentially provide collaborative opportunities. </p>
<p>The research study concludes with two significant findings and their implications for the field of CS education. It also recommends other researchers and provides collaborative opportunities with other high schools. Moreover, this research contributes to and enriches the current literature on CT in education. </p>
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