Year: 2024
Type: article
Abstract: In this study, a fuzzy logic-based learning model was developed to provide an individualized approach to mathematics learning. The model is based on the evaluation of the scores obtained from mathematics self-efficacy scale, mathematics learning motivation scale and mathematics anxiety scale through a triangular membership function and the type of learning style. Students' self-efficacy, motivation to learn and anxiety levels were classified as low, medium and high, and learning strategies tailored to student characteristics were identified. The results of the study provide valuable information to improve the effectiveness of individualized learning approaches.
Source: DergiPark (Istanbul University)
Authors: Elmalı, Mahmut, Cagman, Naim
Institutions: Mi̇lli̇ Eği̇ti̇m Bakanliği, Tokat Gaziosmanpaşa Üniversitesi
Language: Turkish
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4405955246