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Ling Xu; Peng Duan; Lijun Ma; Shouqiang Dou – SAGE Open, 2023
The aim of college education is not only to teach students professional knowledge and skills but also to develop their self-regulated learning (SRL) ability, which has great significance for their lifelong development. This study aims to investigate the roles played by professional identity, intrinsic motivation, and sense of school belonging in…
Descriptors: College Students, Self Management, Independent Study, Professional Identity
Jia Miao; Li Ma – SAGE Open, 2023
Higher education faculty's autonomous support of online teaching can promote students engagement in online context. This study collected 492 Chinese university students' survey questionnaires and applied structural equation model to measure their teacher autonomy support, self-efficacy, self-regulated learning (SRL), and online learning…
Descriptors: College Students, Foreign Countries, College Faculty, Professional Autonomy
Hyang-il Kim – SAGE Open, 2023
The present study is aimed at examining the links between L2 self-guides and self-determination theory (SDT). 429 Korean university students participated in the study and their responses to the questionnaires on L2 self-guides in the 2 x 2 model and autonomous motivation of SDT were analyzed. The results show that, first, promotion focused L2…
Descriptors: Foreign Countries, Second Language Learning, Independent Study, Self Determination
Zhao, Shu-rong; Cao, Cui-hong – SAGE Open, 2023
Collaboration proves to be an effective way to facilitate students' engagement and solve the mostly-mentioned problems of blended learning (BL). For collaborative BL, self-regulated learning (SRL), self-efficacy and engagement are frequently referred to in BL studies and represent key elements of effective BL. Furthermore, the interaction of these…
Descriptors: Foreign Countries, College Students, Self Management, Learning
Zhiyong Qiu; Yingjin Cui – SAGE Open, 2024
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…
Descriptors: College Students, Independent Study, Self Control, Library Materials
Lepp, Andrew; Barkley, Jacob E.; Karpinski, Aryn C.; Singh, Shweta – SAGE Open, 2019
This study compared college students' multitasking in online courses with their multitasking in face-to-face courses and explored the significance of potential predictors of multitasking in each setting. Students taking both online and face-to-face courses completed surveys assessing multitasking in each setting, self-efficacy for self-regulated…
Descriptors: College Students, Student Behavior, Time Management, Online Courses
Wang, Xue; Zhang, Wei – SAGE Open, 2022
Given the significance of cultivating students' autonomous learning ability, there is a need to develop an instructional model that can improve students' awareness and behavior of autonomous learning, as well as to explore the effectiveness and optimization of this model effectively. Taking college English course as a case study, this paper…
Descriptors: Second Language Learning, Second Language Instruction, Personal Autonomy, Case Studies
Iversen, Ann-Merete; Pedersen, Anni Stavnskaer; Krogh, Lone; Jensen, Annie Aarup – SAGE Open, 2015
The article introduces a new term in higher education: learner-led approaches in education (LED). This does not represent a single approach or dogma to replace existing dogmas, but a way of approaching learning and education that mirrors the complexity of society as it develops. LED is based on the assumption that all students have their own…
Descriptors: Learner Controlled Instruction, Higher Education, Active Learning, Student Projects