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Andrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
Yang Shi; Tiffany Barnes; Min Chi; Thomas Price – International Educational Data Mining Society, 2024
Knowledge tracing (KT) models have been a commonly used tool for tracking students' knowledge status. Recent advances in deep knowledge tracing (DKT) have demonstrated increased performance for knowledge tracing tasks in many datasets. However, interpreting students' states on single knowledge components (KCs) from DKT models could be challenging…
Descriptors: Algorithms, Artificial Intelligence, Models, Programming
Maciej Pankiewicz; Yang Shi; Ryan S. Baker – International Educational Data Mining Society, 2025
Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…
Descriptors: Algorithms, Artificial Intelligence, Models, Intelligent Tutoring Systems
Michael A. Rother – International Journal of Mathematical Education in Science and Technology, 2024
A straightforward experimental set-up, requiring a two-liter bottle, a ruler and a stopwatch, is used to provide data appropriate for modelling with Torricelli's Law in the simplest case, and a more sophisticated differential equation when losses are taken into account and a pipe extension is considered. With only an exit hole included in the…
Descriptors: Science Experiments, Science Education, Scientific Principles, Equations (Mathematics)
Henry Egbezien Inegbedion – Education and Information Technologies, 2024
Collaboration is critical to the student-centred learning approach and this is a characteristic feature of the online learning system, as collaborative learning happens to be a major attraction of the online education system. This study investigated innovation in education technology and peer learning outcomes with the mediation of learners'…
Descriptors: Foreign Countries, College Students, Educational Technology, Learning Motivation
Davidson, Jason L. – ProQuest LLC, 2023
Student enrollment in online courses has nearly tripled over the last decade, with 72% of college students participating in at least one online course. There are many advantages to online education such as increased classroom diversity, the reduction of geographical limitations, and overall convenience. However, studies have shown students…
Descriptors: Automation, Online Courses, Nonverbal Communication, Learner Engagement
Mo, Daniel Y.; Tang, Yuk Ming; Wu, Edmund Y.; Tang, Valerie – Education and Information Technologies, 2022
Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…
Descriptors: Higher Education, Computer Assisted Testing, Models, Student Attitudes
Chapman, Jared R.; Kohler, Tanner B.; Gedeborg, Sam – Journal of Educational Computing Research, 2023
Research on gamification's effects in educational environments has been a growing domain in recent years. As research has demonstrated the power of gamified systems to effectively motivate learners in educational settings, it has also become clear that not all individuals are motivated in the same way, or to the same extent, by the same gamified…
Descriptors: Educational Technology, Gamification, Student Motivation, Student Attitudes
Gunuc, Selim – Journal of College Student Retention: Research, Theory & Practice, 2023
Student engagement refers to the quality and quantity of students' psychological, cognitive, emotional and behavioral reactions to in-class and out-of-class academic and social activities to achieve successful learning outcomes. In literature, the Campus-Class-Technology (CCT) theory in student engagement was developed and tested with some models,…
Descriptors: Learner Engagement, Educational Technology, Models, Technology Integration
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Osamah Mohammad Ameen Aldalalah; Yousef Wardat; Ali Abdul Hadi Al-Omari; Raed Mahmoud Khodair – Contemporary Educational Technology, 2025
The study aims to examine the effectiveness of interactive digital content based on the technological pedagogical content knowledge framework (TPACK) model in developing the skills of educational aids production and enhancing cognitive achievement among early childhood students at Jadara University. The researcher relied on the quasi-experimental…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Skill Development, Early Childhood Education
Manaf Al-Okaily – Education and Information Technologies, 2025
ChatGPT a state-of-the-art language model created by Open Artificial Intelligence (AI), can revolutionize education by improving student engagement and making learning more personalized. Consequently, the study's purpose is to evaluate the antecedent factors that the influence usage and continuance usage of a recently introduced AI-based tool…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Resources, Educational Technology
Alalwan, Nasser – Education and Information Technologies, 2022
Learners can interact and connect with one another in new ways thanks to social media. This study employs two models to investigate the factors that contribute to students' involvement in order to improve their learning: constructivism and the technology acceptance model (TAM). Therefore, the objective of this research is to create a model of real…
Descriptors: Social Media, Learner Engagement, Constructivism (Learning), Educational Technology
Ishartono, Naufal; Nurcahyo, Adi; bin Sufahani, Suliadi Firdaus; Afiyah, Asyifa Nur – Asian Journal of University Education, 2022
Many studies show the effectiveness of using the Flipped Learning model to increase students' understanding. However, there are scant research results that integrate PowerPoint in Flipped Learning to improve students' understanding. The present study aimed to describe the effectiveness of the PowerPoint-Based Flipped Learning model in increasing…
Descriptors: Computer Software, Flipped Classroom, Technology Integration, College Students
Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction

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