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Servet Demir; Muhammet Usak – SAGE Open, 2025
This systematic review examines the application of Partial Least Squares Structural Equation Modeling (PLS-SEM) in educational technology research from 2013 to 2023. Following PRISMA guidelines, 57 studies were selected from Scopus and Web of Science databases. The review process involved rigorous screening, data extraction, and analysis using…
Descriptors: Educational Technology, Educational Research, Structural Equation Models, Least Squares Statistics
Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
Tanja Käser; Giora Alexandron – International Journal of Artificial Intelligence in Education, 2024
Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…
Descriptors: Computer Simulation, Educational Technology, Artificial Intelligence, Algorithms
Marcovitz, David M. – Education and Information Technologies, 2022
This paper presents the Educational Technology Social Justice Matrix based on a review of thirty-eight recent papers from a search for the terms "educational technology" and "social justice." The papers were reviewed using the SJPACK Model (Dyches & Boyd, 2017) for social justice in education, and educational technology…
Descriptors: Social Justice, Educational Technology, Interaction, Models
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
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
Fernandes, Filipe Arantes; Rodrigues, Claudia Susie Camargo; Teixeira, Eldanae Nogueira; Werner, Claudia M. L. – IEEE Transactions on Learning Technologies, 2023
Contribution: This secondary study examines the literature on immersive learning frameworks and reviews their state of the art. Frameworks have been categorized according to their purpose. In addition, the elements that compose them were also categorized. Some gaps were identified and proposed as a research roadmap. Background: Immersive…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Definitions
Caleb Or – OTESSA Journal, 2024
This study uses one-step meta-analytic structural equation modelling to delve into the technology acceptance model's (TAM) application within education, assessing perceived usefulness, ease of use, intentions to use, and actual technology use. It synthesises previous findings to validate the TAM's effectiveness and uncover the model's predictive…
Descriptors: Literature Reviews, Meta Analysis, Technology Integration, Educational Technology
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
Gyeonggeon Lee; Da Yeon Kang – Asia-Pacific Science Education, 2024
Constructivist learning theories have emphasized learners' interactions with the environment, which includes their peers. Therefore, student cooperation/collaboration has been considered crucial in science education. However, although there have been many science cooperative/collaborative learning (CCL) studies reported in Korea, there has been a…
Descriptors: Cooperative Learning, Science Education, Engineering Education, Foreign Countries
Rafael Ferreira Mello; Elyda Freitas; Luciano Cabral; Filipe Dwan Pereira; Luiz Rodrigues; Mladen Rakovic; Jackson Raniel; Dragan Gaševic – Journal of Learning Analytics, 2024
Learning analytics (LA) involves the measurement, collection, analysis, and reporting of data about learners and their contexts, aiming to understand and optimize both the learning process and the environments in which it occurs. Among many themes that the LA community considers, natural language processing (NLP) algorithms have been widely…
Descriptors: Literature Reviews, Learning Analytics, Natural Language Processing, Data Collection
Characteristics and Recommendations for the Virtual Role Model Visit -- Based on a Literature Review
Skov, Mette; Lykke, Marianne – Journal of Science Education and Technology, 2023
In recent years, several role-modelling initiatives have been testing and exploring the use of digital technologies to facilitate young people's encounters with role models in the science, technology, engineering, and mathematics (STEM) fields. The aim of this article is twofold. Firstly, through a literature review, the article aims to provide an…
Descriptors: Role Models, STEM Education, Instructional Design, Educational Technology
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
George Essien; Steven S. Parbanath – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper explores the trends in robot storytelling, its conceptual models, and educational implications. Background: Digital storytelling is the use of digital media elements such as text, images, audio, and video to create and tell a story. A form of digital storytelling using a social robot to do the story presentation is called…
Descriptors: Robotics, Educational Technology, Story Telling, Educational Trends

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