TY - DATA T1 - Data underlying the BSc thesis: The influence of assessment type on students' learning gain in k-means clustering PY - 2024/06/25 AU - Madeline El Aissati UR - DO - 10.4121/48e59b4b-de29-4007-9963-019d72c2a00e.v1 KW - Education KW - k-means clustering KW - Learning gain N2 -

This study aimed to investigate the influence of assessment types on students' learning gain in k-means clustering. The learning gain was calculated using the difference between the pre- and post-test scores, where 7 was the highest possible score on the tests (normalised gain, adapted from Hake's formula). Data was collected from 20 participants, the complete dataset includes the individual learning gain of participants.

ER -