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Artificial intelligence is impacting society on a very large scale and should be included in K-12 educational content in some capacity to provide meaningful STEM experiences. Computer vision (a field of research that heavily leverages artificial intelligence) was emphasized in professional development for in-service teachers. The teachers received two to three weeks of training across two states (Arizona and Georgia) that emphasized image processing, computer vision, and machine learning using visual media. Personal Construct Theory (Kelly, 1955) was used to map changes in thinking using hierarchical cluster analysis. The research question was: How did in-service teachers’ thinking regarding artificial intelligence change after partaking in remote professional development emphasizing computer vision? Dendrograms and descriptive statistics showed changes in thinking for in-service teachers in relation to artificial intelligence. There were four clusters in both the pre- and post-professional development dendrograms, but constructs shifted within clusters. Implications for practice and research are discussed.
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Mapping the Complexities of Teacher Change: A Conjecture Mapping Approach to Designing Computational Thinking Professional Development
This empirical case study utilizes conjecture mapping to capture and systematically map conjectures about the support needed for K-12 teachers to incorporate computational thinking into teaching. The case analysis highlighted a teacher’s year-long professional development experience focused on integrating computational thinking. The evolving conjecture map provides a framework to trace and understand relationships between the learning designs, activities, and teacher outcomes. Using rich data from the teacher's experience, the study tests and refines the hypothesized connections laid out in the original conjecture map to build an understanding of effective computational thinking professional development design.
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- Award ID(s):
- 2331742
- PAR ID:
- 10557842
- Editor(s):
- Lindgren, R; Asino, T I; Kyza, E A; Looi, C K; Keifert, D T; Suárez, E
- Publisher / Repository:
- International Society of the Learning Sciences [ISLS[
- Date Published:
- ISSN:
- 1819-0138
- ISBN:
- 979-8-9906980-0-0
- Page Range / eLocation ID:
- 2255-2256
- Subject(s) / Keyword(s):
- Design-based learning, teacher learning, professional learning, computational thinking
- Format(s):
- Medium: X
- Location:
- Buffalo, NY
- Sponsoring Org:
- National Science Foundation
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Artificial intelligence is impacting society on a very large scale and should be included in K-12 educational content in some capacity to provide meaningful STEM experiences. Computer vision (a field of research that heavily leverages artificial intelligence) was emphasized in professional development for in-service teachers. The teachers received two to three weeks of training across two states (Arizona and Georgia) that emphasized image processing, computer vision, and machine learning using visual media. Personal Construct Theory (Kelly, 1955) was used to map changes in thinking using hierarchical cluster analysis. The research question was: How did in-service teachers’ thinking regarding artificial intelligence change after partaking in remote professional development emphasizing computer vision? Dendrograms and descriptive statistics showed changes in thinking for in-service teachers in relation to artificial intelligence. There were four clusters in both the pre- and post-professional development dendrograms, but constructs shifted within clusters. Implications for practice and research are discussed.more » « less
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- Free Publicly Accessible Full Text
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Accepted Manuscript
- Conference Proceeding:
- The DOI is not currently available.
