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Christopher C. Y. Yang; Jiun-Yu Wu; Hiroaki Ogata – Education and Information Technologies, 2025
Blended learning (BL) combines traditional classroom activities with online learning resources, enabling students to obtain higher academic performance through well-defined interactive learning strategies. However, lacking the capacity to self-regulate their learning, many students might fail to comprehensively study the learning materials after…
Descriptors: Blended Learning, Educational Technology, Learning Analytics, Self Management
Chia-Yu Hsu; Izumi Horikoshi; Rwitajit Majumdar; Hiroaki Ogata – Educational Technology & Society, 2024
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation
Jian-Wen Fang; Li-Yuan He; Gwo-Jen Hwang; Xiu-Wei Zhu; Chu-Nu Bian; Qing-Ke Fu – Interactive Learning Environments, 2023
STEM (Science, Technology, Engineering, and Mathematics) education is attracting increasing attention, but how to improve students' STEM learning achievement is still a big challenge. In the process of learning, students actively set learning goals, organize learning content, set learning standards, and independently adapt learning strategies and…
Descriptors: Students, STEM Education, Self Management, Concept Mapping
Meidi Sirk – International Journal for Research in Vocational Education and Training, 2025
Context: The importance of both self-regulated and self-directed learners has been emphasised in lifelong learning. However, in theory, self-regulated learning (SRL) serves as a basis for becoming a self-directed learner. Therefore, SRL (which includes certain skills) needs to be developed in vocational education and training alongside specialist…
Descriptors: Self Management, Career and Technical Education, Student Attitudes, Self Evaluation (Individuals)
HaeJin Lee; Nigel Bosch – International Journal of STEM Education, 2024
Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…
Descriptors: Computer Assisted Instruction, Self Management, Intellectual Disciplines, College Students
Zhang, Si; Chen, Juan; Wen, Yun; Chen, Hongxian; Gao, Qianqian; Wang, Qiyun – International Journal of Computer-Supported Collaborative Learning, 2021
Interest in understanding regulation in the context of collaborative learning has increased in the past decade. Existing studies have investigated how regulated learning evolves in collaborative learning by focusing on external behaviors, and how different types and strategies of regulation are effective in promoting collaborative learning. Due to…
Descriptors: Electronic Learning, Cooperative Learning, Network Analysis, Student Teachers
Svetlana Surikova – Problems of Education in the 21st Century, 2024
The increasing demand for skilled employees in contemporary economies underscores the importance of effective upskilling of the low-skilled. This study addresses the significant challenge of enhancing the professional development of low-skilled workers, focusing on the factors that either facilitate or hinder their engagement in learning…
Descriptors: Unskilled Workers, Professional Development, Learning Activities, Adult Learning
Yun Tang; Zhengfan Li; Guoyi Wang; Xiangen Hu – Interactive Learning Environments, 2023
To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…
Descriptors: Electronic Learning, Learning Activities, Self Management, Intelligent Tutoring Systems
Meng-Ting Lo; Fang-Hsin Hsu; Wen-Lan Chen – Educational Psychology, 2024
This study presents a tool to capture students' academic activities and engagement dynamics in university settings. It explores how strategies to manage time and study environments interact with contextual factors (i.e. study time, learning events, and study locations) in predicting students' concentration and cognitive learning strategies in 81…
Descriptors: Self Management, Learner Engagement, Time Management, Study Habits
Samantha K. Dykes; Rachel E. Morris; Shanna K. Helmke – Solution Tree, 2024
Dive into a student-engaged framework structured around four learning stations: (1) the minilesson station, (2) the independent work station, (3) the collaboration station, and (4) the digital content station. Using direct and specialized instruction, interactive activities, and digital learning tools, these four stations aim to personalize…
Descriptors: Learning Centers (Classroom), Teaching Methods, Educational Technology, Learning Activities
Clemons, Michelle; Hopkins, Treg – Journal of Teaching and Learning with Technology, 2020
Student-centered pedagogy shifts the power dynamics, function of content, role of the educator, responsibility for learning, and purpose of evaluation within the classroom. By redirecting student effort toward self-regulated learning activities within a learning management system (LMS), educators can focus on the application of material during…
Descriptors: Learning Strategies, Self Management, College Environment, Integrated Learning Systems
Suthida Chamrat; Pongsathorn Suyamoon – Journal of Technology and Science Education, 2024
The objective of this research was to examine the impact of STEM activity based on DIY, Tinker and Maker frameworks on developing teacher interns' competency in science instructional design and implementations. These activities involve the integration of science, technology, engineering, and mathematics principles, fostering self-regulated…
Descriptors: STEM Education, Hands on Science, Experiential Learning, Preservice Teachers
Chevy van Dorresteijn; Dina Fajardo-Tovar; Natalie Pareja Roblin; Frank Cornelissen; Monique Meij; Joke Voogt; Monique Volman – Technology, Knowledge and Learning, 2025
Although much research has focused on factors that contribute to effective online education in higher education (HE), insights remain scattered. In this study, we provide a more holistic perspective on how to facilitate effective online HE by concurrently examining factors that were hitherto treated separately. In our meta-review, we synthesized…
Descriptors: Online Courses, Electronic Learning, Higher Education, Program Effectiveness
van Gog, Tamara; Hoogerheide, Vincent; van Harsel, Milou – Educational Psychology Review, 2020
Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or…
Descriptors: Problem Solving, STEM Education, Self Management, Cognitive Processes
Mayra Stefany Torres-Munares; Ada Cristina Hurtado-Flores; Ernesto Adolfo Carrera-Salas – Cogent Education, 2024
College students often face difficulties managing their time due to a lack of basic organizational skills. The research proposes the implementation of a mobile application to improve time management based on gamification as a solution to promote compliance with academic activities. For the correct development of these academic activities, the SOAR…
Descriptors: Foreign Countries, Undergraduate Students, Gamification, Technology Uses in Education