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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction

Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Kwang Surk Jung – Asia-Pacific Education Researcher, 2025
This research aims to analyze the relations from motivation to self-regulatory strategy on academic achievement in high school among academically higher-achieving students. Methods in autoregressive cross-lagged modeling by Mplus8.5 are used to evaluate 309 high school students with higher achievement in language or mathematics from the Korean…
Descriptors: Learning Motivation, Independent Study, Self Management, Learning Strategies
W. Alex Foxworthy; William McCarter – Inquiry: The Journal of the Virginia Community Colleges, 2025
Self-directed learning enables students to take charge of their educational journey by selecting their own paths, thereby fostering intrinsic motivation. Traditional educational models often rely on extrinsic motivators like grades and rewards, whereas self-directed approaches emphasize personal satisfaction and curiosity. Review of existing…
Descriptors: Independent Study, Motivation, Student Satisfaction, Personality Traits
Hamidah; Zaenuri; Isnarto; Arief Agoestanto – Journal of Education and Learning (EduLearn), 2025
This study's purpose was to analyse the relationship between geometric thinking skills with self-regulated learning and with students' basic geometry skills. Furthermore, analyze student errors in solving geometry problems based on their self-regulated learning to determine the optimal geometry learning environment for geometry thinking skills.…
Descriptors: Geometry, Learning Strategies, Preservice Teachers, Teacher Education Programs
Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
Lynnae Venaruzzo; Cherie Diaz – Distance Education, 2025
Microcredentials enable a digital transformation of educational offerings that build skills of learners and the capability of organisations; however learners struggle with balancing study on top of work and family commitments unless they are motivated and self-regulated in their learning. Designing microcredentials that intrinsically motivate…
Descriptors: Microcredentials, Electronic Learning, Distance Education, Learning Experience