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De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
Fengjiao Tu; Linjing Wu; Kinshuk; Junhua Ding; Haihua Chen – Education and Information Technologies, 2025
With the development of information and communication technology, project-based learning (PBL) has become an important pedagogical approach. Group leaders are critical in PBL, and prestige influences learner leadership. Regulation affects learners' prestige, but research on their relationship is lacking. Through content analysis and epistemic…
Descriptors: Learning Processes, Reputation, Active Learning, Student Projects
Ahmed A. Alsayer; Jonathan Templin; Chris Niileksela; Bruce B. Frey – Education and Information Technologies, 2025
Prior research on the "Community of Inquiry" (CoI) framework has a limited amount of work which uses structural techniques to confirm the factorial structure of the CoI. The current study investigates the structural relationships among the three elements of the CoI framework (cognitive presence, teaching presence, and social presence),…
Descriptors: Communities of Practice, Inquiry, Online Courses, Educational Experience
Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
Mathias Mejeh; Livia Sarbach; Tina Hascher – Education and Information Technologies, 2024
Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…
Descriptors: Feedback (Response), Independent Study, Lifelong Learning, Electronic Learning
Shuoqiu Yang; Xu Du; Hengtao Tang; Jui-Long Hung; Yeye Tang – Education and Information Technologies, 2024
Collaborative Problem Solving (CPS) has received increasing attention for its role in promoting learners' cognitive and social development in STEM education. However, little is known about how learners interact dynamically within a group at different time granularities. This gap mainly resulted from overlooking the time dimension of interactions,…
Descriptors: Cooperative Learning, Problem Solving, Group Dynamics, Time Factors (Learning)
Fengjuan Chen; Si Zhang; Qingtang Liu; Shufan Yu; Xiaojuan Li; Xinxin Zheng – Education and Information Technologies, 2025
Though online peer assessment is recognized as a critical factor in enhancing learning performance, pedagogical strategies and analysis of students' peer assessment at the group level, rather than the individual level, are underexplored. Online group assessment (OGA) focuses on assessing peer-group work in an online environment. A total of 64…
Descriptors: Peer Evaluation, Performance, Learning Processes, Computer Mediated Communication
Chia-Ju Lin; Wei-Sheng Wang; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2024
The rise of precision education has encouraged teachers to use intelligent diagnostic systems to understand students' learning processes and provide immediate guidance to prevent students from giving up when facing learning difficulties. However, current research on precision education rarely employs multimodal learning analytics approaches to…
Descriptors: STEM Education, Learning Analytics, Speech Communication, Auditory Perception
Jichao Xue; Jiaxin Liu; Qingshu Yuan; Zhengwei Yao; Jin Xu; Zhigeng Pan – Education and Information Technologies, 2025
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance before operations and feedback after them. However, stepwise and excessive guidance can lead to student overreliance, while late feedback cannot avoid potential errors during experimental learning.…
Descriptors: College Students, Chemistry, Science Instruction, Science Experiments
Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Fu, Eugene Yujun; Ngai, Grace; Leong, Hong Va; Chan, Stephen C. F.; Shek, Daniel T. L. – Education and Information Technologies, 2023
As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…
Descriptors: Service Learning, Prediction, Outcomes of Education, Artificial Intelligence
Yu-Teng Jang; I-Ting Chiang – Education and Information Technologies, 2024
The study aims to probe the roles of learning desire and persistence in influencing Gen Z learners' continuance intention of using YouTube for learning in digital learning context. Building upon prior research, a research framework with 10 hypotheses was proposed and empirically tested by using Partial Least Squares Structure Equation Modelling…
Descriptors: Age Groups, Learning Management Systems, Teaching Methods, Academic Persistence
Wei Chen; Lijia Lin; Weiguo Pang – Education and Information Technologies, 2025
A video lesson with generative learning activities has the potential to improve learning by engaging learners. However, existing literature regarding designing and implementing an interactive video lesson is insufficient. In the present study, we aimed to investigate: a) whether the use of the summarizing strategy would benefit learning via video…
Descriptors: Learning Processes, Video Technology, Learning Activities, Writing Skills
Fu Chen; Chang Lu; Ying Cui – Education and Information Technologies, 2024
Successful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve…
Descriptors: Computer Assisted Testing, Problem Solving, Learning Analytics, Learning Processes
Hyomin Kim; Gyunam Park; Minsu Cho – Education and Information Technologies, 2024
Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance teaching and learning. However, as educational data increases, distilling meaningful insights presents challenges, particularly concerning individual learner differences. This work introduces a…
Descriptors: Learner Engagement, Academic Achievement, Learning Processes, Learning Analytics