C
Christina Krist
Researcher at University of Illinois at Urbana–Champaign
Publications - 22
Citations - 538
Christina Krist is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Science education & Agency (sociology). The author has an hindex of 6, co-authored 19 publications receiving 348 citations. Previous affiliations of Christina Krist include Northwestern University.
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Journal ArticleDOI
Epistemologies in practice: Making scientific practices meaningful for students
Leema K. Berland,Christina V. Schwarz,Christina Krist,Lisa Kenyon,Abraham S. Lo,Brian J. Reiser +5 more
TL;DR: The Epistemologies in Practice (EIP) framework as discussed by the authors ) is a framework for characterizing how students can engage meaningfully in scientific practices, emphasizing the students' epistemic goals for their knowledge construction work and their epistemic understandings of how to engage in that work.
Journal ArticleDOI
Identifying Essential Epistemic Heuristics for Guiding Mechanistic Reasoning in Science Learning
TL;DR: This article synthesizes and builds on existing frameworks to identify essential characteristics of students’ mechanistic reasoning across scientific content areas and argues that these characteristics can be represented as epistemic heuristics, or ideas about how to direct one’s intellectual work, that implicitly guide Mechanistic reasoning.
Journal ArticleDOI
Computational thinking in elementary classrooms: measuring teacher understanding of computational ideas for teaching science
TL;DR: It is found that the vignettes allow us to see shift in teachers thinking about CT from broad and generalized ideas to more elaborate versions of those ideas, and additional mechanisms are needed to monitor how teachers conceptualize and come to integrate computational thinking into elementary schools.
Journal ArticleDOI
Opening up curricula to redistribute epistemic agency: A framework for supporting science teaching
Proceedings ArticleDOI
Qualitative Analysis of Video Data: Standards and Heuristics
Kay E. Ramey,Dionne N. Champion,Elizabeth B. Dyer,Danielle T. Keifert,Christina Krist,Peter Meyerhoff,Krystal Villanosa,Jaakko Hilppö +7 more
TL;DR: This symposium draws on their diverse experiences, analyzing a variety of video corpuses, to provide theoretical and methodological standards and heuristics for the process of video analysis, focusing on three themes central to the process: transcription tensions, defining the unit of analysis, and representing context.