Effects of problem type on completion and attempts on auto-graded homework problems for Material and Energy Balances
Author:
Yanosko Samantha1, Valentine Grant1, Liberatore Matthew1ORCID
Publisher
ASEE Conferences
Reference39 articles.
1. .Edgcomb, A., F. Vahid, R. Lysecky, A. Knoesen, R. Amirtharajah, and M.L. Dorf. Student performance improvement using interactive textbooks: A three-university cross-semester analysis. in ASEE Annual Meeting. 2015. Seattle, WA. DOI: https://doi.org/10.18260/p.24760 2. Chapman, K.E., M.E. Davidson, and M.W. Liberatore, Student success and attempts on auto-graded homework across multiple cohorts in material and energy balances. Chemical Engineering Education, 2021. 55(1): p. 43-50. DOI: https://doi.org/10.18260/2-1-370.660-123169 3. Kortemeyer, G., It's All in the Data - But What is It? Learning Analytics and Data Mining of Multimedia Physics Courses. International Journal of Physics and Chemistry Education, 2019. 11(1): p. 13-17. DOI: https://doi.org/10.12973/ijpce/17111 4. Kortemeyer, G., E. Kashy, W. Benenson, and W. Bauer, Experiences using the open-source learning content management and assessment system LON-CAPA in introductory physics courses. American Journal of Physics, 2008. 76(4): p. 438. DOI: https://doi.org/10.1119/1.2835046 5. Richards-Babb, M., R. Curtis, Z. Georgieva, and J.H. Penn, Student Perceptions of Online Homework Use for Formative Assessment of Learning in Organic Chemistry. Journal of Chemical Education, 2015. 92(11): p. 1813-1819. DOI: https://doi.org/10.1021/acs.jchemed.5b00294
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