Using ChatGPT for academic support: Managing cognitive load and enhancing learning efficiency – A phenomenological approach
Louida P. Patac, Adriano V. Patac
Abstract
This study aims to discuss the effects of ChatGPT on the management of students' cognitive load and learning outcomes. Participants used ChatGPT for answering particular questions, checking information, and solving complex problems involving equations. Results show that ChatGPT lowers intrinsic and extrinsic cognitive load with very detailed responses and efficient search for information, even though it has difficulties in entering mathematical notation. Students consider that ChatGPT is a tool able to enhance understanding, engage, and promote critical thinking. These findings underline that the level of AI assistance must be balanced against independent learning and critical evaluation. • ChatGPT reduces cognitive load by simplifying complex problems effectively. • Students find ChatGPT helpful but noted dissatisfaction with some outputs. • Verification of answers enhances schema construction and deeper understanding. • Challenges exist in inputting equations, raising extraneous cognitive load. • The study employed a phenomenological approach to capture students' experiences.