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Direct linkMarah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – Grantee Submission, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Statistics Education, Mathematics Skills, Skill Development, Data Analysis
Download full textGobert, Janice D.; Moussavi, Raha; Li, Haiying; Sao Pedro, Michael; Dickler, Rachel – Grantee Submission, 2018
This chapter addresses students' data interpretation, a key NGSS inquiry practice, with which students have several different types of difficulties. In this work, we unpack the difficulties associated with data interpretation from those associated with warranting claims. We do this within the context of Inq-ITS (Inquiry Intelligent Tutoring…
Descriptors: Scaffolding (Teaching Technique), Data Interpretation, Intelligent Tutoring Systems, Science Instruction
