cff-version: 1.2.0
abstract: "<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>"
authors:
  - family-names: El Aissati
    given-names: Madeline
title: "Data underlying the BSc thesis: The influence of assessment type on students&#39; learning gain in k-means clustering"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/48e59b4b-de29-4007-9963-019d72c2a00e.v1
license: CC0
date-released: 2024-06-25