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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
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
Anna C. Brady; Christopher A. Wolters; Penny A. Pasque; Shirley L. Yu; Tzu-Jung Lin – Active Learning in Higher Education, 2025
This study aimed to identify and evaluate major processes college students engage in as they begin their active engagement in learning. Semi-structured interviews were conducted with 23 college students. Then, a grounded theory approach was used to identify the forethought processes students described. These processes included identifying goals,…
Descriptors: Active Learning, College Students, Independent Study, Learning Processes
Tiina Törmänen; Elina Ketonen; Emma Lehtoaho; Marjo Turunen; Kateryna Zabolotna; Tatiana Shubina; Hanna Järvenoja – Educational Psychology Review, 2025
Recent academic motivation research has shifted towards understanding the situation-specific and process-sensitive nature of motivation. This shift has initiated discussions on methodological advancements to capture dynamic changes in motivation as they occur in authentic learning contexts. However, these studies have not been systematically…
Descriptors: Student Motivation, Situated Learning, Learning Motivation, Independent Study
Yen-Fen Lee; Gwo-Jen Hwang; Pei-Ying Chen – Educational Technology Research and Development, 2025
Self-regulated learning (SRL) is an approach to learning which aims to improve learners' learning outcomes. In the SRL cycle, the quality of students' reflections is a critical factor in SRL performance that can improve learning outcomes. The feedback provided by teachers often has a significant impact on the quality of students' reflections.…
Descriptors: Independent Study, Reflection, Feedback (Response), Artificial Intelligence
Felicitas Biwer; Gabriel Taban; Anique de Bruin – European Journal of Engineering Education, 2025
While decades of research from cognitive psychology provided insight into effective learning strategies for long-term learning, there is a discrepancy between what research recommends and what students do. We investigated first-year engineering students' knowledge and use of learning strategies, and how they experience and adapt to learning…
Descriptors: Engineering Education, Learning Strategies, Independent Study, College Freshmen
Wong Sing Yun; Sarimah Surianshah – International Journal of Technology in Education, 2024
The emergence of innovative artificial intelligence (AI) technologies, such as ChatGPT, which was just released in November 2022, has the potential to significantly transform the current state of education. Put another way, learning is changing as a result of chatbots' personalized assistance, group discussions and collaborations, evaluations of…
Descriptors: Bibliometrics, Computer Software, Artificial Intelligence, Technology Uses in Education
Xue Ran; Zhigang Li; Yalin Yang – SAGE Open, 2025
Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…
Descriptors: Programming, College Students, Independent Study, Artificial Intelligence
Renninger, K. Ann; Hidi, Suzanne E. – Theory Into Practice, 2022
Educators have a critical stake in supporting the development of interest--as the presence of interest benefits sustained engagement and learning. Neuroscientific research has shown that interest is distinct from, but overlapping with, self-related information processing, the personally relevant connections that a learner makes to content (e.g.,…
Descriptors: Student Interests, Information Processing, Learner Engagement, Learning Motivation
Esther De Vrind; Fred J. J. M. Janssen; Jan H. Van Driel; Nivja H. De Jong – Modern Language Journal, 2024
In foreign language learning, it is important that learners become autonomous and learn how to self-regulate their learning to continue language development. This article presents a self-evaluation procedure designed to promote self-regulation in speaking skills in a foreign language. This self-evaluation procedure was tested in a…
Descriptors: Independent Study, Second Language Learning, Secondary School Students, Foreign Countries
Wu, Ting-Ting; Lee, Hsin-Yu; Li, Pin-Hui; Huang, Chia-Nan; Huang, Yueh-Min – Journal of Educational Computing Research, 2024
This study combines ChatGPT, Apple's Shortcuts, and LINE to create the ChatGPT-based Intelligent Learning Aid (CILA), aiming to enhance self-regulation progress and knowledge construction in blended learning. CILA offers real-time, convergent information to learners' inquiries, as opposed to traditional Google search engine that provide divergent…
Descriptors: Independent Study, Learning Processes, Blended Learning, Artificial Intelligence
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
Baber, Hasnan; Deepa, V.; Elrehail, Hamzah; Poulin, Marc; Mir, Faizan Ashraf – Higher Education, Skills and Work-based Learning, 2023
Purpose: As learning at the workplace is predominantly self-motivated, this study is aimed to identify and categorize the motivational drivers for working professionals to pursue self-directed learning (SDL) at the workplace. Design/methodology/approach: A total of 23 variables were identified as drivers for working professionals to initiate,…
Descriptors: Independent Study, Learning Motivation, Workplace Learning, Employees
Rigolizzo, Michele; Zhu, Zhu; Cruz, Adrianna – Journal of Workplace Learning, 2022
Purpose: The purpose of this paper is to examine the influence of supervisors' past experiences in school on their present learning behaviors. Design/methodology/approach: Data were gathered in a time-lagged study. Supervisors populated a previously validated survey about their quality of school life. One week later, a direct measure of learning…
Descriptors: Supervisors, Educational Experience, Learning Motivation, Study Habits
Liu, Shijuan – Language Learning Journal, 2022
This case study examines the journey of a successful Chinese language learner who has become a Chinese language instructor. His path of learning Chinese is found to be different than that of most non-heritage Chinese instructors. Key factors contributing to his success include prior experience of learning Spanish as a second language, strong…
Descriptors: Chinese, Second Language Learning, Learning Motivation, Independent Study

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