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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
Ling Li; Chang-Qin Huang – Journal of Computer Assisted Learning, 2024
Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach-supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources.…
Descriptors: Flipped Classroom, Peer Teaching, Undergraduate Students, Blended Learning
Jeremie Regnier; Ethan Shafer; Edward Sobiesk; Nicholas Stave; Malcolm Haynes – Education and Information Technologies, 2024
In our post-pandemic world, where the majority of higher education institutions have transitioned back to in-person classes, this paper argues that we must not return to pre-COVID teaching practices. Instead, we have the obligation and opportunity to create an educational experience and environment that better facilitates learning and instruction.…
Descriptors: COVID-19, Pandemics, Educational Technology, Best Practices
Fu, Hanliang; Xia, Zhongjing; Tan, Yubing; Guo, Xiaotong – Journal of Civil Engineering Education, 2024
Worldwide, construction site accidents cause many casualties among construction workers every year. Although many safety guidelines that construction workers are urged to read and keep in mind have been formulated, it is still difficult for the traditional construction safety education mode to quickly and accurately improve the hazard recognition…
Descriptors: Construction Industry, Occupational Safety and Health, Building Trades, Employees
Zehua Dong; Ming Ming Chiu; Shuqi Zhou; Zihong Zhang – Education and Information Technologies, 2024
Building on past studies showing that mobile learning improves learning outcomes and differs within a domain (e.g., science), this meta-analysis models domain-specific differences (e.g., learning activities) that drive these differences in science performance. A systematic database search (i.e., Web of Science, JSTOR, ERIC, PsycINFO, ProQuest…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Science Education
Matthew R. Ferguson – Asia-Pacific Education Researcher, 2024
Many in higher education are calling for a re-think of teaching and learning principles. The global pandemic de-stabilized foundational assumptions that guided pedagogy for many higher education practitioners. One such assumption is the value of the physical classroom for student engagement. Advances in educational technology and online learning…
Descriptors: Pandemics, Learner Engagement, Liberal Arts, Colleges
Saman Ebadi; Asieh Amini – Interactive Learning Environments, 2024
Artificial Intelligence (AI) technology in the educational context, particularly chatbotics, has made significant changes in learning English. This mixed-methods study is intended to explore university students' attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications. Meanwhile, the role of social presence…
Descriptors: Artificial Intelligence, Educational Technology, English (Second Language), Second Language Learning
Xiaojiao Chen; Zhebing Hu; Chengliang Wang – Education and Information Technologies, 2024
As an exemplary representative of AIGC products, ChatGPT has ushered in new possibilities for the field of education. Leveraging its robust text generation and comprehension capabilities, it has had a revolutionary impact on pedagogy, learning experiences, personalized education and other aspects. However, to date, there has been no comprehensive…
Descriptors: Literature Reviews, Artificial Intelligence, Futures (of Society), Trend Analysis
Denise M. Sweeney – Research in Learning Technology, 2024
The ability to design effective technology-enhanced learning (TEL) experiences is a critical skill for university teachers. However, challenges endure on how best to develop university teachers in research-intensive universities to design TEL experiences that meet student, professional, and employer expectations. Having a greater insight of the…
Descriptors: Educational Technology, Technology Uses in Education, Case Studies, Social Environment
Cameron Gaines – ProQuest LLC, 2024
The problem that was addressed through this study was that inconsistency in using a literacy development initiative resulted in no improvement of low literacy scores in April of 2022, as a total of 80.85% of high school students in one learning zone within a Georgia school district scored below literacy proficiency on the Georgia Milestones…
Descriptors: High School Teachers, Teacher Attitudes, Literacy, Competency Based Education
Anna Flavia Di Natale; Sabrina Bartolotta; Andrea Gaggioli; Giuseppe Riva; Daniela Villani – Education and Information Technologies, 2024
Immersive virtual reality (IVR) and Metaverse applications are gaining attention in the educational field, showing potentials in transforming traditional learning methods by supporting active and experiential forms of learning. Our study, conducted within the context of an Italian university course, employs the Extended Expectation-Confirmation…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, College Students
Agostino Marengo; Alessandro Pagano; Jenny Pange; Kamal Ahmed Soomro – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…
Descriptors: Literature Reviews, Artificial Intelligence, Technology Uses in Education, Higher Education
Olga Ovtšarenko – Discover Education, 2024
Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…
Descriptors: Artificial Intelligence, Algorithms, Technology Uses in Education, Opportunities
Robby Hilmi Rachmadian; Alfyananda Kurnia Putra; Sumarmi Sumarmi; Heni Masruroh – International Journal of Learning Technology, 2024
Geography education usually faces the problem of a monotonous learning process. Therefore, educators constantly seek better teaching strategies to present interesting and enjoyable classes. The main objective of this study is to 'present learning technology to improve geoheritage understanding' through an open-access website powered by interactive…
Descriptors: Experiential Learning, Computer Simulation, Educational Media, Technology Uses in Education
Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior

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