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The Effects of Prior Knowledge on Learning with Low-Cost Desktop Learning Modules

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

Assessment in Chemical Engineering Education

Page Count

9

DOI

10.18260/1-2--41703

Permanent URL

https://peer.asee.org/41703

Download Count

238

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Paper Authors

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Carah Watson Campbell University

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Carah Watson is a rising senior in general engineering with a chemical/pharmaceutical concentration at Campbell University. She has been working as an undergraduate research assistant for Dr. Jacqueline Gartner on the Educating Diverse Undergraduate Communities with Affordable Transport Equipment (EDUC-ATE) project through Washington State University (WSU) and Campbell University since the spring of 2021.

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Jacqueline Gartner Campbell University

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Jacqueline is an Assistant Professor and founding faculty at Campbell University School of Engineering. As part of her role, she teaches many of the chemical engineering courses for students in the middle years.

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Bernard Van Wie Washington State University

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Prashanta Dutta Washington State University

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Olusola Adesope Washington State University

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Heidi Curtis Campbell University

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Abstract

Hands-on experiments using the Low-Cost Desktop Learning Modules (LCDLMs) have been implemented in dozens of classrooms to supplement student learning of heat transfer and fluid mechanics concepts with students of varying prior knowledge. The prior knowledge of students who encounter these LCDLMs in the classroom may impact the degree to which students learn from these interactive pedagogies. This paper reports on the differences in student cognitive learning between groups with low and high prior knowledge of the concepts that are tested. Student conceptual test results for venturi, hydraulic loss, and double pipe heat exchanger LCDLMs are analyzed by grouping the student data into two bins based on pre-test score, one for students scoring below 50% and another for those scoring above and comparing the improvement from pretest to posttest between the two groups. The analysis includes data from all implementations of each LCDLM for the 2020-2021 school year. Results from each of the three LCDLMs were analyzed separately to compare student performance on different fluid mechanics or heat exchanger concepts. Then, the overall pre- and posttest scores for all three LCDLMs were analyzed to examine how this interactive pedagogy impacts cognitive gains. Results showed statistically significant differences in improvement between low prior knowledge groups and high prior knowledge groups. Additional findings showed statistically significant results suggesting that the gaps in performance between low prior knowledge and high prior knowledge groups on pre-tests for the LCDLMs were decreased on the posttest. Findings showed that students with lower prior knowledge show a greater overall improvement in cognitive gains than those with higher prior knowledge on all three low-cost desktop learning modules.

Watson, C., & Gartner, J., & Van Wie, B., & Dutta, P., & Adesope, O., & Curtis, H. (2022, August), The Effects of Prior Knowledge on Learning with Low-Cost Desktop Learning Modules Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41703

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