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Yu, Zhonggen; Yu, Liheng – Technology, Knowledge and Learning, 2022
Rain Classroom, as a mobile app designed and developed by Tsinghua University, has been catching increasingly intense attention since her birth in 2016. Her usability has, however, seldom been explored. The purpose of this study is to compare the usability of Rain Classroom assisted learning with other learning approaches. A mixed design was…
Descriptors: College Students, Student Attitudes, Educational Technology, Handheld Devices
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An, Heejung; Sung, Woonhee; Yoon, So Yoon – Educational Technology Research and Development, 2022
Teaching educational robotics is of growing interest in K-12 settings. Yet, immense efforts are needed to move the field forward by framing the teaching of robotics with pedagogically sound theories as well as appropriate instructional design models and strategies. To meet this need, the authors designed and implemented an online educational…
Descriptors: Teaching Methods, Synchronous Communication, Electronic Learning, Robotics
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Elikem Chosniel Ocloo; Isaac Sewornu Coffie; Gretel Rejoice Mawunyo Asigbe-Tsriku; Sebrina Kafui Tsagli – International Journal of Qualitative Studies in Education (QSE), 2025
Although the adoption rate for online teaching and learning is on the rise, qualitative studies to unearth factors that facilitate or inhibit its adoption, particularly from the perspectives of both lecturers and students have received limited scholarly attention. The study conducted focus group discussions and interviews to collect data from the…
Descriptors: Online Courses, Educational Technology, Student Attitudes, Teacher Attitudes
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Ailsa Zayyan Salsabila; R. Yugo Kartono Isal; Harry B. Santoso – Journal of Educators Online, 2025
This study aims to provide recommendations for interaction design to enhance students' task interpretation, as one of the crucial aspects of Self-Regulated Learning (SRL) in online learning environments. Utilizing the Engineering Design Metacognitive Questionnaire (EDMQ), open-ended questions, and in-depth interviews, this study examines the…
Descriptors: Learning Processes, Electronic Learning, College Students, Computer Science Education
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HyeJin Hwang; Panayiota Kendeou; Kristen L. McMaster – Grantee Submission, 2025
Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…
Descriptors: Inferences, Video Technology, Reading Difficulties, Reading Skills
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Mohamed Amine Marhraoui; Olugbenga Ayo Ojubanire – European Journal of Education, 2025
Prior research has highlighted the importance of smart learning in raising awareness and engagement about sustainable development. Nevertheless, few papers have focused on the impact of climate change simulation environments. In this paper, a systematic literature review has helped to shed the light on the research gaps and to propose a conceptual…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Sustainable Development
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Eilidh Jack; Craig Alexander; Elinor M. Jones – Teaching Mathematics and Its Applications, 2025
In recent years, the integration of gamification into educational settings has garnered significant attention as a means to enhance student engagement and learning outcomes. By leveraging gamified elements such as points and leaderboards, educators aim to promote active participation, motivation and deeper understanding among students. This study…
Descriptors: Statistics Education, Gamification, Flipped Classroom, Learner Engagement
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Pauldy C. J. Otermans; Charlotte Roberts; Stephanie Baines – International Journal of Technology in Education, 2025
This study examines the relationship between students' attitudes toward artificial intelligence (AI) and both AI competence and conceptions. 176 UK university students completed a survey where they were asked to rate statements in relation to their attitudes towards AI, their AI competence and their conceptions about AI using 5-point Likert-type…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Educational Technology
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Andri Ioannou; Ourania Miliou; Yiannis Georgiou; Stella Timotheou; Louise Barkhuus; Jennifer Rode – Educational Technology Research and Development, 2025
E-textiles provide an interesting field of research as they "blend traditional craft with modern science" (Peppler, 2016) and help learners "broaden their own perceptions of computing" (Searle et al., 2016). Despite the promising findings by primarily long-term interventions structured around e-textiles, educational curriculum…
Descriptors: STEM Education, Foreign Countries, Textiles Instruction, Technology Uses in Education
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Chien-Liang Lin; Jun-Yan Liu; Chi-Heng Li; Yu-Sheng Su; Juan Zhou – International Review of Research in Open and Distributed Learning, 2025
In response to the COVID-19 pandemic, many educational institutions switched to online learning to maintain learning activities. With the global pandemic, the educational environment was forced to shift from traditional face-to-face teaching or blended learning to a fully online learning model. In February 2020, China took the lead in announcing…
Descriptors: COVID-19, Pandemics, Online Courses, Educational Technology
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Salvatore G. Garofalo; Stephen J. Farenga – Science & Education, 2025
The purpose of this study was to gauge the attitudes towards artificial intelligence (AI) use in the science classroom by science teachers at the start of generative AI chatbot popularity (March 2023). The lens of distributed cognition afforded an opportunity to gather thoughts, opinions, and perceptions from 24 secondary science educators as well…
Descriptors: Secondary School Teachers, Science Teachers, Teacher Attitudes, Artificial Intelligence
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Jincheng Zhang; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This meta-analysis examined the effectiveness of artificial intelligence (AI) technologies in educational settings through a systematic review of 13 empirical studies conducted across eight countries. We analysed the impact of various AI technologies on educational outcomes using PRISMA guidelines and multiple analytical approaches, including…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Technology Uses in Education
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Yining Wang; Kexin Han; Paul Ginns – Educational Psychology Review, 2025
Cognitive load theory's incorporation of evolutionary perspectives suggests biologically primary knowledge, acquired through evolutionary processes, can support students in learning biologically secondary knowledge, the focus of typical educational curricula. Touch-based interactions using the hands are likely to be biologically primary. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Learning Processes, Difficulty Level
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Jessica del Rocío Fernández-Velásquez; Oscar López-Regalado; Gisela Analy Fernández-Hurtado – Contemporary Educational Technology, 2025
The systematic review explores the integration of gamification with the flipped classroom in basic education, combining game mechanics with flipped teaching methods to improve student engagement and motivation, and examines the evolution of scientific production between 2022 and 2024, using the preferred reporting items for systematic reviews and…
Descriptors: Gamification, Educational Technology, Flipped Classroom, Program Effectiveness
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Mostafa Morady Moghaddam; Faeze Esmaeilpour; Fatemeh Ranjbaran – Education and Information Technologies, 2025
Mobile technologies and the widespread application of mobile devices have become significant in educational settings. Mobile-assisted language learning (MALL) is a thriving field of study in language learning and teaching contexts in Iran. This study investigates the current research trends and characteristics of MALL studies in Iran, identifying…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Second Language Learning
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