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Neil Dixon; Rob Howe; Uwe Matthias Richter – Research in Learning Technology, 2025
Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the…
Descriptors: Learning Analytics, Educational Benefits, Case Studies, Higher Education
Galiya A. Abayeva; Gulzhan S. Orazayeva; Saltanat J. Omirbek; Gaukhar B. Ibatova; Venera G. Zakirova; Vera K. Vlasova – Contemporary Educational Technology, 2023
The concept of ubiquitous learning has emerged as a pedagogical approach in response to the advancements made in mobile, wireless communication, and sensing technologies. The domain of ubiquitous learning is distinguished by swift progression, thereby presenting a difficulty in maintaining current knowledge of its developments. The implementation…
Descriptors: Bibliometrics, Databases, Electronic Learning, Educational Technology
Catalina Lomos; J. W. Luyten; Frauke Kesting; Filipe Lima da Cunha – Interactive Learning Environments, 2024
Significant attention has been paid to the use of ICT by teachers, especially during the COVID-19 health crisis. This usage has mostly been captured through self-reported survey measurements. Learning analytics can complement such findings, by using log data to document precisely how long teachers use ICT, and what ICT behaviors they perform…
Descriptors: Learning Analytics, Information Technology, Teacher Behavior, Mathematics Education
Matthieu Cisel – Canadian Journal of Education, 2024
Over the last decade, teachers in France have been increasingly pressured to use digital learning environments, and to shift from grade-based to skill-based assessment. Educational dashboards, which measure student input electronically, could foster such a transition by providing insights into learners' performances. However, such dashboards could…
Descriptors: Foreign Countries, Computer Assisted Testing, Summative Evaluation, Elementary School Students
Stanislav Pozdniakov; Jonathan Brazil; Mehrnoush Mohammadi; Mollie Dollinger; Shazia Sadiq; Hassan Khosravi – Journal of Learning Analytics, 2025
Engaging students in creating high-quality novel content, such as educational resources, promotes deep and higher-order learning. However, students often lack the necessary training or knowledge to produce such content. To address this gap, this paper explores the potential of incorporating generative AI (GenAI) to review students' work and…
Descriptors: Student Evaluation, Artificial Intelligence, Student Developed Materials, Feedback (Response)
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Ioseb Gabelaia – ProQuest LLC, 2024
The mastery of pedagogical analytical and digital literacy (PADL) emerges as a foundation, allowing higher education institutions (HEIs) faculty to navigate the challenges of the digital realm and modify teaching methods to meet the various learning needs of the students. This study aimed to explore the need for analytical literacy for faculty in…
Descriptors: Foreign Countries, Higher Education, Digital Literacy, Learning Analytics
Nishio, Toshiki; Mouri, Kousuke; Tanaka, Takafumi; Okamoto, Masaru; Matsubara, Yukihiro – International Journal of Distance Education Technologies, 2022
This paper describes the effects of a pairing method based on digital textbook logs and learners' artifacts in conceptual modeling exercises. The authors developed a digital textbook system called Smart E-Textbook Application (SEA) and a conceptual modeling tool called KIfU 3.0 to collect conceptual modeling activity logs in exercises. This study…
Descriptors: Textbooks, Electronic Publishing, Educational Technology, Grouping (Instructional Purposes)
Gomathy Ramaswami; Teo Susnjak; Anuradha Mathrani – Journal of Learning Analytics, 2023
Learning Analytics Dashboards (LADs) are gaining popularity as a platform for providing students with insights into their learning behaviour patterns in online environments. Existing LAD studies are mainly centred on displaying students' online behaviours with simplistic descriptive insights. Only a few studies have integrated predictive…
Descriptors: Learner Engagement, Learning Analytics, Electronic Learning, Student Behavior
Cheng, Ching-I. – Journal of Computer Assisted Learning, 2023
Background: Taiwan's higher education institutions prioritize interdisciplinary knowledge and cultural competence in cultural design, emphasizing the value of immersion in the local environment to develop cultural competence. However, challenges arise from the disappearance of traditional local lifestyles and limitations of traditional outdoor…
Descriptors: Foreign Countries, Learning Analytics, Handheld Devices, Computer Oriented Programs
Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
Rebecka Rundquist; Kristina Holmberg; John Rack; Zeynab Mohseni; Italo Masiello – Journal of Learning Analytics, 2024
The generation, use, and analysis of educational data comes with many promises and opportunities, especially where digital materials allow usage of learning analytics (LA) as a tool in data-based decision-making (DBDM). However, there are questions about the interplay between teachers, students, context, and technology. Therefore, this paper…
Descriptors: Learning Analytics, Elementary Secondary Education, Mathematics Education, Data Analysis
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
Isaac Kofi Nti; Faiza Umar Bawah; Juanita Ahia Quarcoo; Favour Kalos – Africa Education Review, 2022
Computers in education, along with soft-computing technology applications, have revolutionised global interconnectedness and the need for a well-educated workforce. Many studies worldwide explore technology in education, often relying on systematic reviews, though concerns about selection bias have emerged. This article takes a different approach,…
Descriptors: Bibliometrics, Computer Uses in Education, Artificial Intelligence, Educational Research
Cam, Emre; Ozdag, Muhammet Esat – Malaysian Online Journal of Educational Technology, 2021
This study aims at finding out students' course success in vocational courses of computer and instructional technologies department by means of machine learning algorithms. In the scope of the study, a dataset was formed with demographic information and exam scores obtained from the students studying in the Department of Computer Education and…
Descriptors: Artificial Intelligence, Academic Achievement, Mathematics, Computer Science Education