NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Fan Chen; Gaowei Chen – Educational Technology Research and Development, 2025
Inquiry-based learning (IBL) is a practice-oriented approach where students pose questions, conduct investigations, and interpret data to develop scientific knowledge and exploratory skills. Learning analytics (LA) holds great potential to capture these dynamic processes, which provides valuable insights to understand student inquiry behaviours…
Descriptors: Learning Analytics, Inquiry, Active Learning, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
Peer reviewed Peer reviewed
Direct linkDirect link
Jeongwon Lee; Dongho Kim – Journal of Computing in Higher Education, 2025
Although learning analytics dashboards (LADs) are being recognized as tools that can enhance engagement--a crucial factor for the success of asynchronous online higher education--their impact may be limited without a solid theoretical basis for motivation. Furthermore, the processes through which students make decisions using dashboards and engage…
Descriptors: Self Determination, Learning Analytics, Educational Technology, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Zhicheng Dai; Yue Yang; Zengzhao Chen; Ling Wang; Liang Zhao; Xiaoliang Zhu; Junxia Xiong – Education and Information Technologies, 2025
Higher education is beginning to focus on how to effectively cultivate IoT engineers who possess both hard skills and soft skills. Therefore, from the perspective of activity theory and combining it with project-based learning, this study constructed a project-based learning framework based on activity theory and applied this framework to an IoT…
Descriptors: Active Learning, Student Projects, Teacher Effectiveness, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Youcef Haddou; Omar Talbi; Abdelkader Ouared; Abdelhafid Chadli – Education and Information Technologies, 2025
As Project-Based Learning (PjBL) becomes a cornerstone of modern education, effective support and analysis tools are crucial for enhancing collaborative learning experiences and achieving educational goals. However, challenges such as managing overload related to the rigor and demands of project-based activities (e.g., meetings, writing reports,…
Descriptors: Student Projects, Active Learning, Guidelines, Teamwork
Peer reviewed Peer reviewed
Direct linkDirect link
Nachamma Sockalingam; Kenneth Lo; Judy Teo; Cheah Chin Wei; Danny Chow Jiun Jiet; Dorien Herremans; Melvin Lee Ming Jun; Oka Kurniawan; Yixiao Wang; Pey Kin Leong – Discover Education, 2025
Singapore University of Technology and Design (SUTD) is embarking on an educational innovation program called SUTD campusX to support its future of education. SUTD campusX aims to innovate new educational models, technology tools, and pedagogies for a new form of learning called "Cyber-Physical Learning", where the concept is that both…
Descriptors: Educational Trends, Educational Innovation, Educational Practices, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Jufrida Jufrida; Wawan Kurniawan; M. Furqon; Khairul Anwar; Hebat Shidow Falah; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to explore the innovative integration of machine learning techniques into project-based learning rooted in Malay ethnoscience in Jambi, Indonesia. The research introduces a novel framework that utilizes educational data mining to personalize culturally responsive STEM education in under-resourced public schools.…
Descriptors: Physics, Science Instruction, Learning Analytics, Algorithms