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Ye, Dan – TechTrends: Linking Research and Practice to Improve Learning, 2022
This article introduces the evolution of themes and ideas related to the history, theory, and practice of learning analytics within the learning, design, and technology field through four eras. This review provides researchers with a fundamental understanding of the origin of learning analytics from a historical perspective and distinguishes…
Descriptors: Learning Analytics, Educational History, Theory Practice Relationship, Ethics
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Dimitrios Tzimas; Stavros Demetriadis – TechTrends: Linking Research and Practice to Improve Learning, 2025
Learning analytics (LA) is an educational innovation that enhances teaching practices and facilitates student learning. However, the degree of LA adoption across schools remains limited, and teachers who adopt LA do not engage with it consistently. Based on the unified theory of acceptance and use of technology (UTAUT) as a framework, we conducted…
Descriptors: Learning Analytics, Kindergarten, Elementary Secondary Education, Teacher Attitudes
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Bruce Parsons; John H. Curry – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article investigates an artificial intelligence language model, ChatGPT, and its ability to complete graduate-level instructional design assignments. The approach subjected ChatGPT to a needs, task, and learner analysis for a 12th-grade media literacy module and benchmarked its performance by expert evaluation and measurements via grading…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Instructional Design
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Baran, Evrim; AlZoubi, Dana; Morales, Anasilvia Salazar – TechTrends: Linking Research and Practice to Improve Learning, 2023
Computational analysis methods and machine learning techniques introduce innovative ways to capture classroom interactions and display data on analytics dashboards. Automated classroom analytics employ advanced data analysis, providing educators with comprehensive insights into student participation, engagement, and behavioral trends within…
Descriptors: Automation, Learning Analytics, Stakeholders, Computation
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Mavroudi, Anna; Papadakis, Spyros; Ioannou, Ioannis – TechTrends: Linking Research and Practice to Improve Learning, 2021
The article is focusing on aspects related to technology acceptance of LA in the context of school education. A survey that was based on the Technology Acceptance Model was distributed to 98 participants who work as schoolteachers and/or local educational policymakers and are geographically dispersed across two different European countries. The…
Descriptors: Teacher Attitudes, Learning Analytics, Intention, Usability
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Phillips, Tanner; Ozogul, Gamze – TechTrends: Linking Research and Practice to Improve Learning, 2020
In this study the authors conducted an empirical, bibliometric analysis of current literature in learning analytics. The authors performed a citation network analysis and found three dominant clusters of research. A qualitative thematic review of publications in these clusters revealed distinct context, goals, and topics. The largest cluster…
Descriptors: Learning Analytics, Educational Research, Bibliometrics, Citation Analysis