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Abstract Computational thinking (CT), the ability to devise computational solutions for real‐life problems, has received growing attention from both educators and researchers. To better improve university students' CT competence, collaborative programming is regarded as an effective learning approach. However, how novice programmers develop CT competence through collaborative problem solving remains unclear. This study adopted an innovative approach, quantitative ethnography, to analyze the collaborative programming activities of a high‐performing and a low‐performing team. Both the discourse analysis and epistemic network models revealed that across concepts, practices, and identity, the high‐performing team exhibited CT that was systematic, whereas the CT of the low‐performing team was characterized by tinkering or guess‐and‐check approaches. However, the low‐performing group's CT development trajectory ultimately converged towards the high‐performing group's. This study thus improves understanding of how novices learn CT, and it illustrates a useful method for modeling CT based in authentic problem‐solving contexts.
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International Conference on Quantitative Ethnography ICQE 2021: Advances in Quantitative Ethnography pp 144–159Cite as Methodology in the Mirror: A Living, Systematic Review of Works in Quantitative Ethnography
Quantitative Ethnography is a nascent field now formulating the specifics of its conceptual framework and terminology for a unified, quantitative – qualitative methodology. Our living, systematic review aims to shed light on decisions in research design that the community has made thus far in the domain of data collection, coding & segmentation, analysis, and how Quantitative Ethnography as a methodology is conceptualized. Our analysis intends to spur discussions on these issues within the community and help establish a lingua franca.
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- Award ID(s):
- 1661036
- PAR ID:
- 10341799
- Editor(s):
- Wasson, B.; Zörgő, S.
- Date Published:
- Journal Name:
- International Conference on Quantitative Ethnography
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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