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Oksana Kyrylova; Neliia Blynova; Viktoriia Pavlenko – Interactive Learning Environments, 2024
The article shows the results of a situational analysis of a case study with the elements of an experiment to find out the expediency of mobile application use in media education. The case study is aimed at researching the process of mobile learning within a single social object -- a group of 32 students, members of the workshop "Young…
Descriptors: Telecommunications, Handheld Devices, Media Education, Children
Seyum Getenet; Carole Haeusler; Petrea Redmond; Robert Cantle; Vanessa Crouch – Technology, Knowledge and Learning, 2024
Ensuring quality education for all students requires teachers to possess knowledge and skills in utilising digital technologies effectively for teaching and learning. This study explored how pre-service teachers (PSTs) perceive their digital attitude, efficacy, literacy, engagement, and understanding of digital technologies in an online learning…
Descriptors: Preservice Teachers, Student Attitudes, Educational Technology, Technology Uses in Education
Maria del Carmen Pegalajar-Palomino; Estefanía Martínez-Valdivia – Journal of Technology and Science Education, 2024
This research explores the perception of university students of Degrees in Education towards gamification mediated by Information and Communication Technologies (ICT) as an innovative teaching strategy, aligned with the principles of educational quality of the UN Agenda 2030. A quantitative, descriptive, cross-sectional and inferential research…
Descriptors: College Freshmen, Student Attitudes, Gamification, Educational Technology
Zilong Pan; Lauren Biegley; Allen Taylor; Hua Zheng – Journal of Learning Analytics, 2024
The learning management system (LMS) is widely used in educational settings to support teaching and learning practices. The usage log data, generated by both learners and instructors, enables the development and implementation of learning analytics (LA) interventions aimed at facilitating teaching and learning activities. To examine the current…
Descriptors: Learning Analytics, Learning Management Systems, Intervention, Teacher Improvement
Haidee A. Jackson; Sohyun Yang; Ling Zhang – Journal of Special Education Leadership, 2024
This paper discusses the ethical challenges presented by artificial intelligence (AI) within the instructional process for students with disabilities. The authors briefly overview technological changes in education and applications of AI in education in addition to policy. Discussion is directed toward the development of an ethical pedagogy using…
Descriptors: Ethics, Teaching Methods, Artificial Intelligence, Adoption (Ideas)
Daniel Clark – Learning, Media and Technology, 2024
Whilst technology may have been the 'saviour' of HE from the immediate challenges of the pandemic, the opportunistic dialogue emerging in response is imbued with notions of the pandemic as a catalyst for change. Empowered by the apparent success of technology's deliverance, the door has been opened to unprecedented investment into a pervasive and…
Descriptors: Educational Technology, Higher Education, Consumer Economics, Neoliberalism
Mohammad Jamshed; Iftikhar Alam; Sultan Al Sultan; Sameena Banu – Journal of Education and e-Learning Research, 2024
The study investigates EFL (English as a Foreign Language) learners' opinions, attitudes and the challenges of incorporating AI-powered teaching and learning. It also examines how their ideas and attitudes are affected by demographic variables. 258 students were selected using a random sampling method from a population comprising students studying…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Student Attitudes
Fatma Bayrambas; Emine Sendurur – Education and Information Technologies, 2024
Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Biofeedback
Sherif Adel Gaber – Journal of Education and e-Learning Research, 2024
Augmented reality (AR) has been shown to have a positive impact on children with autism spectrum disorder (ASD) because it can effectively simulate the real environment through interactive experiences created by the integration of digital elements with the outside world. This research aimed to verify the effectiveness of a training program based…
Descriptors: Autism Spectrum Disorders, Simulated Environment, Behavior Modification, Educational Technology
Heidi Skurat Harris; Michael Greer – Routledge, Taylor & Francis Group, 2024
This practical guide to multimedia in online college instruction provides easy-to-follow instructions for designing multimedia assignments that maximize student learning while reducing cognitive load. This book presents the learning process as a complex, multidimensional experience that includes texts as well as auditory and visual elements. Each…
Descriptors: Multimedia Instruction, Online Courses, College Instruction, Educational Technology
Clarivando Francisco Belizário Júnior; Fabiano Azevedo Dorça; Luciana Pereira de Assis; Alessandro Vivas Andrade – International Journal of Learning Technology, 2024
Loop-based intelligent tutoring systems (ITSs) support the learning process using a step-by-step problem-solving approach. A limitation of ITSs is that few contents are compatible with this approach. On the other hand, recommendation systems can recommend different types of content but ignore the fine-grained concepts typical of the step-by-step…
Descriptors: Artificial Intelligence, Educational Technology, Individualized Instruction, Cognitive Style
Gonul Ozsari; Cengiz Hakan Aydin – Open Learning, 2024
Technological advances allow open and distance learning (ODL) providers to offer all kinds of interaction opportunities for their students. In Turkey, different institutions adopt different interaction types in ODL services mostly because of legal procedures and a shortage of experience in ODL. Learning more about students' preferences and needs…
Descriptors: Distance Education, Interaction, Educational Technology, Electronic Learning
Le Thi Thanh Thu – Journal of Comparative and International Higher Education, 2024
This article presents a review of the current state and the potential of digitalization of Vietnam's higher education and makes recommendations in support of the digitalization process. It is mainly based on public documents. The paper discusses the extent of institutional digital transformation, its challenges, and opportunities in two contexts:…
Descriptors: Educational Technology, Electronic Learning, Foreign Countries, COVID-19
Sanghoon Park; Heoncheol Yun – Educational Technology Research and Development, 2024
Although numerous studies have demonstrated the potential benefits of augmented reality (AR) in education, the influence of education students' learning experiences on their AR technology acceptance in the classroom has yet to be examined thoroughly. In this empirical study, we explored the affective experiences (i.e., positive emotions, negative…
Descriptors: Computer Simulation, Educational Technology, Student Experience, Emotional Response
David Parsons; Aga Palalas; Stavros Nikou; Selwyn Rodulfo – European Journal of Education, 2024
This article provides a systematic review of mobile learning frameworks that address issues of pedagogy published between 2011 and 2022. The objective of the review was to gain a clear picture of recent developments in mobile learning frameworks to provide an understanding of current directions in mobile learning pedagogy. Eighteen peer-reviewed…
Descriptors: Handheld Devices, Telecommunications, Teaching Methods, Literature Reviews

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