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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
Hadyaoui, Asma; Cheniti-Belcadhi, Lilia – Smart Learning Environments, 2023
This article introduces an ontology-based framework for group assessment analytics that investigates the impact of intra-group interactions on group performance within the context of project-based collaborative learning (PBCL). Additionally, it aims to predict learners' performance based on these interactions. The study involved 312 first-degree…
Descriptors: Learning Analytics, Academic Achievement, Prediction, Student Projects
Morado, María Florencia; Melo, Ayelén Eva; Jarman, Angela – British Journal of Educational Technology, 2021
Makerspaces are collaborative workspaces where people construct their ideas using a variety of materials and tools ranging from no tech to high tech, where components can be moulded and transformed into different projects depending on each maker's vision. Educational makerspaces allow educators to respond to the diverse interests of individual…
Descriptors: Shared Resources and Services, Student Projects, Design, Case Studies
Kenneth David Strang; Narasimha Rao Vajjhala – Industry and Higher Education, 2024
This study explores integrating industry-crowdsourced projects within capstone courses of a 4-year Bachelor of Science program at an accredited American university. A unique business consulting model was developed for the final year course, aligning students with 16-weeks industry projects that reflected their academic goals and the program's…
Descriptors: Industry, Universities, Higher Education, Capstone Experiences
Macak, Martin; Kruzelova, Daniela; Chren, Stanislav; Buhnova, Barbora – Education and Information Technologies, 2021
Understanding the processes in education, such as the student learning behavior within a specific course, is a key to continuous course improvement. In online learning systems, students' learning can be tracked and examined based on data collected by the systems themselves. However, it is non-trivial to decide how to extract the desired students'…
Descriptors: Student Projects, Learning Analytics, Data Collection, Computer Science Education
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
Ayyanathan, N. – Shanlax International Journal of Education, 2022
Effective engagement and monitoring of students' online self-learning capacity and application of their acquired knowledge in the final year project is a challenging task for the educators worldwide. The author builds an evaluation framework to assess the stage-wise performance of students in this undertaken project. The primary objective of this…
Descriptors: Learning Analytics, Taxonomy, Student Projects, Active Learning
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – Journal of Educational Data Mining, 2022
Instant feedback plays a vital role in promoting academic achievement and student success. In practice, however, delivering timely feedback to students can be challenging for instructors for a variety of reasons (e.g., limited teaching resources). In many cases, feedback arrives too late for learners to act on the advice and reinforce their…
Descriptors: Student Projects, Learning Analytics, Intelligent Tutoring Systems, Feedback (Response)
Hu, Xiao; Ng, Jeremy T. D.; Chu, Samuel K. W. – International Journal of Computer-Supported Collaborative Learning, 2022
Learning analytics (LA) and group awareness tools are regarded as top priorities for research in the field of computer-supported collaborative learning. As such, this study investigated whether LA-enabled group awareness information facilitates wiki-supported collaborative learning in secondary education. We proposed an analytic framework of…
Descriptors: Learning Analytics, Collaborative Writing, Cooperative Learning, Secondary Education
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2022
Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…
Descriptors: Student Projects, Feedback (Response), Natural Language Processing, Guidelines
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
Chng, Edwin; Seyam, Mohamed Raouf; Yao, William; Schneider, Bertrand – Information and Learning Sciences, 2022
Purpose: This study aims to uncover divergent collaboration in makerspaces using social network analysis to examine ongoing social relations and sequential data pattern mining to invesitgate temporal changes in social activities. Design/methodology/approach: While there is a significant body of qualitative work on makerspaces, there is a lack of…
Descriptors: Motion, Measurement Techniques, Measurement Equipment, Shared Resources and Services

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