The impact of Goal-Oriented Visualization on Academic Performance
A Case study in Machine Learning
K.A. Tesink (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.A. Migut – Mentor (TU Delft - Web Information Systems)
Myrthe Tielman – Graduation committee member (TU Delft - Interactive Intelligence)
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Abstract
This research investigates the impact of goal-oriented visualization on machine learning knowl-edge acquisition, particularly exploring its poten-tial to address procrastination in academic settings. By examining participants with no prior machine learning experience, the study employs compara-tive and correlational measures to analyze quiz per-
formance, study times, and visualization practices. While encouraging trends are observed, the small sample size emphasizes the need for further re-search to definitively establish the impact of visu-alization on academic performance. The study ad-heres to ethical guidelines, ensuring participant pri-vacy and obtaining informed consent, contributing to responsible research practices.