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Gisela Canelhas; Cristina Ponte – Journal of Educational Multimedia and Hypermedia, 2025
Educational videos offer an engaging and accessible way for preschool children to learn, but their effectiveness can be influenced by several factors, including the quality of the audio and video components, as well as the screen size of the displaying device. While e-books and mobile applications have shown that different screen sizes can lead to…
Descriptors: Educational Technology, Video Technology, Instructional Films, Instructional Effectiveness
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Wenhao Li; Xiaotong Ren; Li Qian; Heng Luo; Bowen Liu – Interactive Learning Environments, 2024
A virtual classroom constructed with virtual reality technology enables a more intuitive and immersive experience for learners. The classroom climate is an important factor affecting students' learning experience and performance in a virtual environment. However, there is a lack of research on the role of climate on learning experience and…
Descriptors: Classroom Environment, Learning Experience, Academic Achievement, Electronic Learning
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Ezgi R. Diri Koç; Diler Öner – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to compare the use of elaborated and metacognitive feedback strategies in interactive instructional videos in terms of undergraduate students' engagement and metacognitive awareness levels. This study also aims to investigate undergraduate students' evaluations of elaborated and metacognitive feedback in these…
Descriptors: Metacognition, Feedback (Response), Interactive Video, Educational Technology
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Chan, Cecilia Ka Yuk; Hu, Wenjie – International Journal of Educational Technology in Higher Education, 2023
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed…
Descriptors: Artificial Intelligence, Barriers, Educational Benefits, Higher Education
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Guillaume, Louise; Laurent, Valentin; Genge, Matthew J. – Journal of Geoscience Education, 2023
Fieldwork is a pedagogical cornerstone of many geoscience degrees. During the academic years 2019-20 and 2020-21, the worldwide COVID-19 pandemic made outdoors fieldwork difficult, resulting in an urgent need to develop virtual alternatives. However, there is still more to learn about the impact of teaching fieldwork virtually on the student…
Descriptors: Earth Science, Field Experience Programs, Electronic Learning, Learning Experience
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Zhang, Kang; Shao, Zhijing; Lu, Yun; Yu, Ying; Sun, Wei; Wang, Zeyu – IEEE Transactions on Learning Technologies, 2023
As metaverse becomes one of the most popular buzzwords in technology, there is still a lack of support to integrate true metaverse learning experiences in massive open online courses (MOOCs). This article introduces a new framework of massive open metaverse courses (MOMCs) and its major enabling technologies, which add immersive and 3-D learning…
Descriptors: MOOCs, Learning Experience, Guidelines, Educational Technology
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Fagan, Tara – Childhood Education, 2023
As schools collaborate with other educational and cultural institutions, students, families, and teachers benefit from expanded learning experiences. In 2020, digital technology learning was added to the New Zealand school curriculum so that every student, beginning at five years of age, would develop an understanding of computational thinking and…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Foreign Countries
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Harry West; Jennifer Hill; Aida Abzhaparova; Will Cox; Anoushka Alexander – Journal of Geography in Higher Education, 2024
The COVID-19 pandemic resulted in profound disruption to geography higher education. A pivot to online teaching required staff to rapidly adapt their practices to novel digital spaces. Whilst many studies have reported the different pedagogic approaches adopted, fewer have evaluated the resultant student learning experience. In this study, we…
Descriptors: COVID-19, Pandemics, Electronic Learning, Inquiry
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Sherina Dimo; Harly Israel Bandojo; Kristia Estilo; Joeven Abalayan; Michael Achas; Joseph Lobo – Journal of Educators Online, 2024
The present study intends to investigate the determinants influencing students' behavioral intention and use of Google Classroom as an instrument for enhancing the learning experience in the domain of physical education. This investigation employed the Technology Acceptance Model (TAM) as a conceptual framework. The results revealed that perceived…
Descriptors: Student Behavior, Intention, Computer Software, Physical Education
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Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
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Salah Zogheib – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to explore factors influencing engineering students' acceptance of the Google Classroom platform in communication skills courses to ensure more active engagement and better performance. Background: In response to the underutilization and hesitancy in adopting educational technologies, this study investigates the…
Descriptors: Learning Experience, Engineering Education, Computer Software, Computer Mediated Communication
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Bin Jing; Jinrong Liu; Xue Gong; Yangli Zhang; Haojie Wang; Changcheng Wu – Interactive Learning Environments, 2024
An increasing number of MOOCs use learning videos featuring an instructor and slides, but there are few specific guidelines for the design of instructor images for these videos. A pedagogical agent (PA) is a kind of virtual instructor image in a learning video, and its image design is mostly guided by anthropomorphism. Our research attempts to…
Descriptors: Video Technology, Educational Technology, MOOCs, Imagery
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Binmohsen, Suliman Abdullah; Abrahams, Ian – Research in Science & Technological Education, 2022
Background: Online CPD programmes may be able to assist the Saudi Arabian Ministry of Education in enhancing teaching standards and learning outcomes while overcoming the barriers to implementation, which face-to-face (f2f) CPD programmes can encounter. Yet, little research has compared the effectiveness or differences between the online and f2f…
Descriptors: Science Teachers, Professional Development, Electronic Learning, In Person Learning
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Emily Theophilou; Rene Lobo-Quintero; Davinia Hernandez-Leo; Roberto Sanchez-Reina; Dimitri Ognibene – IEEE Transactions on Learning Technologies, 2024
The impact of social media on teens' mental health and development raises the need for educational interventions that equip them with the knowledge and skills to cope with dangerous situations. In spite of the growing effort to expand social media literacy among youngsters, social media interventions still rely on conventional methods that tend to…
Descriptors: Social Media, Social Emotional Learning, Longitudinal Studies, High School Students
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Tiernan, Peter – Digital Education Review, 2021
In an effort to explore digital literacy in practice, this paper investigates how students evaluate digital video for use in assignment work. Students sourced content for a written assignment from a selection of videos housed on an online repository and reflected on their choices. The study examines the key areas influencing the use and evaluation…
Descriptors: Educational Technology, Technological Literacy, Video Technology, Learning Experience
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