%0 Generic
%A El Aissati, Madeline
%D 2024
%T Data underlying the BSc thesis: The influence of assessment type on students' learning gain in k-means clustering
%U 
%R 10.4121/48e59b4b-de29-4007-9963-019d72c2a00e.v1
%K Education
%K k-means clustering
%K Learning gain
%X <p>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.</p>
%I 4TU.ResearchData