Prospective Teachers' Reasoning While Pair Programming Geometric Patterns
- Author
- Dinc, Emre
- Published
- [University Park, Pennsylvania] : Pennsylvania State University, 2024.
- Physical Description
- 1 electronic document
- Additional Creators
- Kim, ChanMin
Access Online
- etda.libraries.psu.edu , Connect to this object online.
- Graduate Program
- Restrictions on Access
- Restricted (PSU Only).
- Summary
- There are challenges and potential underemphasis on algebraic thinking, specifically, recognizing and using relations instead of objects, in preservice teacher education. By conducting a qualitative analysis of video and screen recordings, block code, process entries, and semi-structured post-interviews, this study investigates how and why paired prospective elementary teachers use objects to generate rules while solving geometric pattern problems and programming geometric patterns within a visual programming platform. Employing a multiple case design, I examined how three pairs generalized geometric patterns and programmed geometric patterns, guided by the conceptual framework grounded in constructionism and instrumental sociogenesis. The findings indicated that pairs (a) used visual cues, explored patterns, and generated rules, (b) explored, identified, and expressed relations by using dynamic objects, (c) engaged in and applied recursive reasoning in programming of geometric patterns through their unique selection and arrangement of blocks, and (d) turned Scratch into an instrument for mathematical investigations. Findings are discussed, including their implications for research and practice.
- Other Subject(s)
- mathematical reasoning
- block-based programming
- algebraic thinking
- prospective teachers
- cognitive mechanisms
- constructionism
- instrumental sociogenesis
- pattern generalization
- visual cues
- rule generation
- pair programming
- geometric patterns
- dynamic objects
- pattern recognition
- visualization
- colalboration
- recursive reasoning
- Genre(s)
- Dissertation Note
- Ph.D. Pennsylvania State University 2024.
- Technical Details
- The full text of the dissertation is available as an Adobe Acrobat .pdf file ; Adobe Acrobat Reader required to view the file.
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