This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on…

Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…

This study investigates methods and effectiveness of implementing Differentiated Instruction (DI) in intelligent education based on learners' learning needs. The paper employs a mixed-method approach to collect and analyze data from various learner groups. Guided by the assessment results of the KANO model, the research prioritizes attributes for…

Online self-learning became widespread after the onset of the COVID-19 pandemic, and during this period, learners' self-leadership became an important measure of their competency. This study aims to verify the validity and reliability of the tool by translating the Abbreviated Self-Leadership Questionnaire (ASLQ) into Korean. Through web-based…

This study examines the impact of students' self-directed learning (SDL) ability and parental expenditures for shadow education, and other factors, on academic achievement in South Korea during the pandemic. Busan Education Longitudinal Study panel data for 2019 (pre-COVID) and 2020-2021 (COVID) were utilized. National exam scores of middle and…