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Martina Angela Rau; Will Keesler; Ying Zhang; Sally PW Wu – Grantee Submission, 2020
Instruction in most STEM domains uses visuals to illustrate complex problems. During problem solving, students often manipulate and construct visuals. Traditionally, students draw visuals on paper and receive delayed feedback from an instructor. Educational technologies have the advantage that they can provide immediate feedback on students'…
Descriptors: Visualization, Educational Technology, Chemistry, STEM Education
Teresa M. Ober; Maxwell R. Hong; Matthew F. Carter; Alex S. Brodersen; Daniella Rebouças-Ju; Cheng Liu; Ying Cheng – Grantee Submission, 2021
We examined whether students were accurate in predicting their test performance two testing contexts (low-stakes and high-stakes). The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N=209; M[subscript age]=16.6 years). We found that even two months before…
Descriptors: High School Students, Self Evaluation (Individuals), Student Attitudes, High Stakes Tests
Barbieri, Christina; Booth, Julie L. – Grantee Submission, 2016
Middle school algebra students (N = 125) randomly assigned within classroom to a Problem-solving control group, a Correct worked examples control group, or an Incorrect worked examples group, completed an experimental classroom study to assess the differential effects of incorrect examples versus the two control groups on students' algebra…
Descriptors: Middle School Students, Algebra, Secondary School Mathematics, Randomized Controlled Trials