Axioms, Год журнала: 2025, Номер 14(6), С. 396 - 396

Опубликована: Май 22, 2025

This study proposes a learning path recommendation method based on fuzzy competence space theory. It is developed within the theoretical framework of knowledge theory and set theory, aiming to address progressive nature learners’ skill acquisition. The proposed ensures that learner can improve their state by increasing only one proficiency level at time, thereby closely reflecting incremental characteristics real-world processes. Based mappings, this work systematically defines states, structures, consistent spaces. Then, given mapping, necessary sufficient conditions for existence gradual effective paths are proven under disjunctive model. Finally, algorithm designed, its effectiveness validated through simulation experiments. provides foundation algorithmic support development adaptive systems intelligent testing systems.

Язык: Английский