2026-10-06T15:52:38Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33964288 2026-09-22T11:08:28Z category_26536 item_type_3 month_year_09_2026

Derived Data for Longitudinal Associations Between Homework and Examination Performance in Engineering Mathematics Won-Bae Na (24975694) Somi Jung (24976020) Minju Kim (1816120) Engineering education Engineering Mathematics Homework Examination performance Higher education Longitudinal study Pearson correlation COVID-19 Generative AI Assessment <p dir="ltr">This dataset contains derived aggregate statistics supporting the study “Longitudinal Associations Between Homework and Examination Performance in Engineering Mathematics.” It includes cohort characteristics, annual correlations between homework and assessment outcomes, period-level descriptive statistics, fixed-effect pooled estimates, random-effects and all-zero-score sensitivity analyses, and secondary grading-policy outcomes. The dataset covers 15 course cohorts comprising 759 students from 2009 to 2025; no cohorts were available in 2011 or 2019. It contains no individual-level student records or personally identifiable information. The post-ChatGPT-availability period is a calendar-based classification and does not indicate measured individual use of generative AI.</p> 2026-09-22T11:08:28Z Dataset Dataset 10.6084/m9.figshare.33964288.v1 https://figshare.com/articles/dataset/Derived_Data_for_Longitudinal_Associations_Between_Homework_and_Examination_Performance_in_Engineering_Mathematics/33964288 CC BY 4.0