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Alina Hase; Poldi Kuhl – Educational Technology Research and Development, 2024
Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…
Descriptors: Instructional Design, Technology Uses in Education, Journal Articles, Decision Making
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Reagan Mozer; Luke Miratrix; Jackie Eunjung Relyea; James S. Kim – Journal of Educational and Behavioral Statistics, 2024
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Evaluation Methods, Writing Evaluation, Comparative Analysis
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Jewoong Moon; Laura McNeill; Christopher Thomas Edmonds; Seyyed Kazem Banihashem; Omid Noroozi – International Journal of Educational Technology in Higher Education, 2024
This study explored the dynamics of students' knowledge co-construction in an asynchronous gamified environment in higher education, focusing on peer discussions in college business courses. Utilizing epistemic network analysis, sequence pattern mining, and automated coding, we analyzed the interactions of 1,319 business students. Our findings…
Descriptors: Learning Analytics, Cooperative Learning, Asynchronous Communication, Gamification
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Shuai He; Yu Lu – Interactive Learning Environments, 2024
Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…
Descriptors: Instructional Effectiveness, Technology Uses in Education, Artificial Intelligence, Humanities Instruction
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J. Keba; Vineetha K. Ramdas Nayak; N. Sajitha; S. Himiki – Advances in Physiology Education, 2024
Formative assessment is a valuable tool in medical education as it allows students to reflect on their own learning and make necessary corrections. The use of innovative techniques in formative assessment can make it more engaging and effective for students, particularly utilizing electronic tools. A word cloud is a visual representation of data…
Descriptors: Formative Evaluation, Computer Software, Student Evaluation, Physiology
Yipu Zheng – ProQuest LLC, 2024
This dissertation investigates how collective process-oriented documentation tools, combined with Natural Language Processing (NLP) techniques, can enhance knowledge construction in hands-on, open-ended learning environments, such as makerspaces. Through a three-year design-based research, the study developed and tested a collective documentation…
Descriptors: Shared Resources and Services, Open Education, Documentation, Natural Language Processing
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Ken Molloy; Yvonne Crotty – International Journal for Transformative Research, 2024
This article explains how teachers can use educational vlogging as a tool to facilitate students' reflective practice in primary schools. Vlogging is a short duration video recording that engages the learner in critical self-reflection. The widespread accessibility of digital devices in Irish schools offer primary teachers opportunities to use…
Descriptors: Electronic Learning, Online Courses, Elementary School Teachers, Reflection
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Katy Miller; Chereeka Garner – Journal of Library & Information Services in Distance Learning, 2024
Academic Libraries continuously strategize ways to infuse information literacy into the classroom. The libraries at a large research university created ten standalone information literacy courses in a learning management system (LMS) to be used as supplemental materials in credit-bearing courses. This article will outline the creation of the…
Descriptors: Academic Libraries, Information Literacy, Learning Modules, Learning Analytics
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Kasepalu, Reet; Chejara, Pankaj; Prieto, Luis P.; Ley, Tobias – Technology, Knowledge and Learning, 2022
Monitoring and guiding multiple groups of students in face-to-face collaborative work is a demanding task which could possibly be alleviated with the use of a technological assistant in the form of learning analytics. However, it is still unclear whether teachers would indeed trust, understand, and use such analytics in their classroom practice…
Descriptors: Teacher Attitudes, Secondary School Teachers, Technology Uses in Education, Online Systems
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García-Senín, Stéphanie; Arguedas, Marta; Daradoumis, Thanasis – Research on Education and Media, 2022
The assessment of students' academic achievements helps to increase learning effectiveness by encouraging each student to recognise his/her strengths and areas for improvement. To do so, pedagogical activities that encourage direct and frequent evaluation must be considered. This paper focuses on how a learning management system such as Google…
Descriptors: Learning Analytics, STEM Education, Art Education, Academic Achievement
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Albó, Laia; Barria-Pineda, Jordan; Brusilovsky, Peter; Hernández-Leo, Davinia – International Journal of Artificial Intelligence in Education, 2022
Over the last 10 years, learning analytics have provided educators with both dashboards and tools to understand student behaviors within specific technological environments. However, there is a lack of work to support educators in making data-informed design decisions when designing a blended course and planning appropriate learning activities. In…
Descriptors: Learning Analytics, Visual Aids, Design, Learning Activities
González, Carlos; López, Dany; Calle-Arango, Lina; Montenegro, Helena; Clasing, Paula – ECNU Review of Education, 2022
Purpose: This study aims to explore Chilean students' digital technology usage patterns and approaches to learning. Design/Approach/Methods: We conducted this study in two stages. We worked with one semester learning management systems (LMS), library, and students' records data in the first one. We performed a k-means cluster analysis to identify…
Descriptors: Foreign Countries, Electronic Learning, Technology Uses in Education, Use Studies
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Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat – Journal of Educational Computing Research, 2022
In a large-scale quantitative study that adopted a learning analytics approach, we searched for associations between students' activity in a game-based online mathematics learning environment and their mathematics achievements on a national standardized test. Students were active in the environment throughout the school year, and particularly…
Descriptors: Electronic Learning, Learning Activities, Mathematics Achievement, Elementary School Students
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Tzeng, Jian-Wei; Lee, Chia-An; Huang, Nen-Fu; Huang, Hao-Hsuan; Lai, Chin-Feng – International Review of Research in Open and Distributed Learning, 2022
Massive open online courses (MOOCs) are open access, Web-based courses that enroll thousands of students. MOOCs deliver content through recorded video lectures, online readings, assessments, and both student-student and student-instructor interactions. Course designers have attempted to evaluate the experiences of MOOC participants, though due to…
Descriptors: Online Courses, Models, Learning Analytics, Artificial Intelligence
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