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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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Epistemologies in practice: Making scientific practices meaningful for students

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.
Proceedings ArticleDOI

Qualitative Analysis of Video Data: Standards and Heuristics

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.