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Showing 1 to 15 of 60 results Save | Export
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Paul Atkinson; Tim Flanagan – Studies in Philosophy and Education, 2024
The digital humanities have developed in concert with online systems that increase the accessibility and speed of learning. Whereas previously students were immersed in the fluidity of campus life, they have become suspended and drawn-into various streams and currents of digital pedagogy, which articulate new forms of epistemological movement,…
Descriptors: Humanities, Electronic Learning, Educational Technology, Technology Uses in Education
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Carmen Smith – International Journal of Mathematical Education in Science and Technology, 2024
Embodied cognition theory underscores the importance of the interactions among the mind, body and environment, and instructors can make use of these connections to support learning through body-based learning activities. However, synchronous online learning presents challenges to this type of embodied pedagogy, as learning through physical actions…
Descriptors: Electronic Learning, Distance Education, Technology Uses in Education, Mathematics Education
Jason Webb – ProQuest LLC, 2024
The goal of this qualitative study was to answer the question: How do educators make sense of learning in virtual reality? This study utilized multimedia learning theory and cognitive load theory to explore how educators understand virtual reality in education. Pre- and post-interviews as well as a VR experience were conducted with 13 educators…
Descriptors: Electronic Learning, Computer Simulation, Technology Uses in Education, Multimedia Instruction
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Leisi Pei; Morris Siu-Yung Jong; Junjie Shang; Guang Ouyang – British Journal of Educational Technology, 2025
Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…
Descriptors: Diagnostic Tests, Brain, Cognitive Processes, Difficulty Level
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Daniel Laumann; Maurice Krause; Fabienne E. Kremer; Barbara Leibrock; Malte S. Ubben; Boris Forthmann; Robin Janzik; Dörthe Masemann; Felix Reer; Cornelia Denz; Gilbert Greefrath; Susanne Heinicke; Annette Marohn; Thorsten Quandt; Elmar Souvignier; Stefan Heusler – Education and Information Technologies, 2025
In recent years, the importance of mobile devices has increased for education in general and more specifically for science and mathematics education. In the classroom, approaches for teaching with mobile devices include using student-owned devices ("bring your own device"; BYOD approach) or using school-owned devices from central pools…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Handheld Devices
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Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
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Wang, Cixiao; Dong, Qian; Ma, Yuying – Journal of Science Education and Technology, 2023
With the advancement of informational and portable technologies, virtual manipulatives based on tablets are applied to support students' learning in science education. However, research on the impact of tablet-student ratios on individual knowledge acquisition and cognitive load in collaborative inquiry learning has not been addressed in detail…
Descriptors: Tablet Computers, Technology Uses in Education, Electronic Learning, Cognitive Processes
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Antje Boomgaarden; Katharina Loibl; Timo Leuders – Interactive Learning Environments, 2023
PS-I learning approaches with an initial problem-solving phase (PS) followed by an instruction phase (I) can be optimised by providing adaptive (individualised) instruction that builds on students' problem-solving products. A computer-based implementation of both phases offers the possibility of adaptivity at the transition from the…
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Fractions, Educational Environment
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Na Li; Xiaojun Zhang; Maria Limniou; Youmin Xi – Interactive Learning Environments, 2024
Despite the high expectation of virtual learning environments (VLEs) to accelerate meaningful educational innovations for more interactive learning and teaching, resistance to changes exists, and innovations are fading over time. How to promote widespread and steady adoption of VLE enabled innovations remains an open question. This study uses…
Descriptors: Electronic Learning, Virtual Classrooms, Learning Management Systems, Educational Innovation
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Zhe Wang; Sara Abercrombie; Rachel Wong; Yuxin Ren; Shiting Dai – Journal of Computer Assisted Learning, 2024
Background: There are two major types of pictures that have been the focus of multimedia learning research, namely, seductive and interpretational pictures. Despite an increasing body of literature documenting the effects of either seductive or interpretational pictures added to text-based materials, there is a paucity of research explicitly…
Descriptors: Electronic Learning, Computers, Computer Assisted Instruction, Visual Aids
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Leslie S. LeRoy; Renee Kaufmann; Derek R. Lane – Interactive Learning Environments, 2024
Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered…
Descriptors: Video Technology, Electronic Learning, Technology Uses in Education, Stress Variables
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Leonid Chernovaty – Advanced Education, 2024
This first attempt aims to determine the extent of students' covert use of machine translation (MT) in the online assessment of their sight translation, the strategies of such use, and its signs. The study is based on the analysis of target texts (TT) of specialised online sight translation from Ukrainian into English by 13 BA and 10 MA students.…
Descriptors: Computer Assisted Testing, Translation, Ukrainian, English (Second Language)
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Khanyisile Twabu – Discover Education, 2025
This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Artificial Intelligence
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Ibrahim Hakki Bulut; Ömer Delialioglu – Interactive Learning Environments, 2024
The aim of this study is to construct a technology model, named as Online Learning Technology Engagement Model (OLTEM), to enhance our understanding in the adoption of an online learning technology. The study suggests a model covering the theoretical background of underlying motivational processes for technology engagement of students. The sample…
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Foreign Countries
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Christian Dalsgaard; Thomas Ryberg – Research in Learning Technology, 2023
The paper presents a theoretical framework of four digital learning spaces: Individual space, Working group, Community of interest, and Open connections. The theoretical framework aims to highlight the unique potentials of digital technologies to expand learning activities. More specifically, the framework contributes with descriptions of specific…
Descriptors: Technology Uses in Education, Electronic Learning, Virtual Classrooms, Independent Study
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