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Chang Cai; Gaoxia Zhu; Min Ma – Education and Information Technologies, 2025
Interdisciplinary learning requires students to integrate knowledge and methods from different disciplines, prompting advanced skills development and knowledge construction by connecting diverse subjects. Artificial Intelligence (AI), with its rich information base and abilities to track learning and provide personalized support, has the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Interdisciplinary Approach, Influence of Technology
Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
Helena Rocha – International Journal of Mathematical Education in Science and Technology, 2025
The teacher's central role in technology integration and the challenges of that integration emphasise the need for a deeper understanding about the teacher's knowledge required to teach with technology. Based on previous work and a systematic literature review, we identified three knowledge models often used: TPACK, KTMT and PTK. The goal of this…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Knowledge Level
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Moya, Sofia; Camacho, Mar – Technology, Knowledge and Learning, 2023
Learning innovation for future education often includes digital approaches to enhance learning and to contribute to the development of twenty-first-century skills. There is evidence that mobile learning provides positive outcomes. However, there is a recognized lack of research in the field of frameworks and models that contributes to highlighting…
Descriptors: Electronic Learning, Sustainable Development, Educational Technology, Technology Uses in Education
Jean Baptiste Habarurema; Raffaele Di Fuccio; Pierpaolo Limone – International Journal of Information and Learning Technology, 2025
Purpose: Digital twin enabled e-learning (DTEe-L) transitions from traditional instructional design to innovative learner-centered e-learning design. Initially, during the COVID-19 pandemic, DTEe-L demonstrated great promise for significantly optimizing e-learning environments, emerging as a suitable mechanism for innovative and active learning,…
Descriptors: Literature Reviews, Bibliometrics, Electronic Learning, Active Learning
Sackstein, Suzanne; Matthee, Machdel; Weilbach, Lizette – Education and Information Technologies, 2023
Research that employs theory provides a framework and structure in which complex phenomenon, can be understood. While many theories have been developed to study people's technology usage, the plurality of perspectives offered are complex to navigate due to the diverse range of problems and topics addressed and the varied theoretical foundations…
Descriptors: Educational Theories, Models, Technology Uses in Education, Hermeneutics
Aneng He; Wenwen Yuan; Lai Soon Lee; Tian Tian – Smart Learning Environments, 2025
This paper explores the challenge of achieving consistent effectiveness in integrating Mathematics Education Technology (MET) in K-12 classrooms, focusing on factors such as technology type, timing, and instructional strategies. It highlights the difficulties novice teachers face in optimizing MET compared to experienced educators, emphasizing the…
Descriptors: Artificial Intelligence, Prediction, Models, Mathematics Education
Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
Schad, Michael L.; Greene, Moe Debbagh; Jones, Monty – International Journal on E-Learning, 2021
Several theoretical and conceptual frameworks have been developed to guide research that aims to examine the application and use of technology in education. These frameworks facilitate the process of generating knowledge in the evolving field of educational technology. However, research indicates that the study of educational technology is…
Descriptors: Educational Technology, Technology Uses in Education, Educational Theories, Models
Chang, Chun-Chun; Hwang, Gwo-Jen; Tu, Yun-Fang – Journal of Educational Computing Research, 2022
Concept maps have been verified as an effective learning tool in technology-supported learning environments, in particular, in K-12 education. To enable educational technology researchers and school teachers to thoroughly know the research foci and applications of concept maps in technology-supported learning environments for K-12 education…
Descriptors: Concept Mapping, Elementary Secondary Education, Educational Technology, Technology Uses in Education
Mystakidis, Stylianos; Christopoulos, Athanasios; Pellas, Nikolaos – Education and Information Technologies, 2022
While there is an increasing interest in Augmented Reality (AR) technologies in Primary and Secondary (K-12) Education, its application in Higher Education (HE) is still an emerging trend. This study reports findings from a systematic mapping review, based on a total of forty-five (n = 45) articles published in international peer-reviewed journals…
Descriptors: Computer Simulation, Higher Education, STEM Education, Educational Research
Todd Cherner; Teresa S. Foulger; Margaret Donnelly – TechTrends: Linking Research and Practice to Improve Learning, 2025
The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…
Descriptors: Artificial Intelligence, Natural Language Processing, Decision Making, Models
Liangyong Xue; Norliza Ghazali; Jazihan Mahat – International Journal of Technology in Education, 2025
The rapid integration of Artificial Intelligence (AI) in education has led to a surge in research on teachers' adoption of these technologies. However, there is a noticeable lack of comprehensive reviews synthesizing the current state of research on this topic. This study addresses this gap by systematically reviewing 33 studies published since…
Descriptors: Artificial Intelligence, Adoption (Ideas), Teacher Attitudes, Technology Uses in Education
Andrea Zanellati; Daniele Di Mitri; Maurizio Gabbrielli; Olivia Levrini – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…
Descriptors: Artificial Intelligence, Prior Learning, Knowledge Management, Models

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