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Garcia, Manuel B. – Journal of Educational Computing Research, 2023
Computer programming is a difficult course for many students. Prior works advocated for group learning pedagogies in pursuit of higher-level reasoning and conceptual understanding. However, the methodological gaps in existing implementations warrant further research. This study conducted a three-armed cluster-randomized controlled trial to…
Descriptors: Computer Science Education, Programming, Cooperative Learning, Apprenticeships
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Phanuwat Kongkhen; Pinanta Chatwattana – Higher Education Studies, 2023
The design of the project-based learning, or PjBL, via brainstorming with metaverse to promote multimedia production skills is based on the integration of the concepts of project-based learning processes via brainstorming with virtual world technologies for use in the instruction management. Thereby, the instruction management in this way is said…
Descriptors: Student Projects, Active Learning, Teaching Methods, Brainstorming
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Shu-Jing Wu; Feng-Lan Liu; Yan-Yu Xu; Tin-Chang Chang; Zeng-Han Lee – International Association for Development of the Information Society, 2023
This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones…
Descriptors: Junior High School Students, Foreign Countries, Learner Engagement, Models
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Kumar, Vivekanandan; Ally, Mohamed; Tsinakos, Avgoustos; Norman, Helmi – Canadian Journal of Learning and Technology, 2022
Over the past decade, opportunities for online learning have dramatically increased. Learners around the world now have digital access to a wide array of corporate trainings, certifications, comprehensive academic degree programs, and other educational and training options. Some organizations are blending traditional instruction methods with…
Descriptors: Electronic Learning, Cognitive Processes, Artificial Intelligence, Educational Technology
Guled, Abdiwahab – ProQuest LLC, 2022
This Design-based research study aimed to develop a design framework that would help learning designers to apply learning theory principles when designing learning objects. The study examined the experiential learning theory, information processing theory, and cognitive load theory to develop the iterative learning development (ILD) model. Several…
Descriptors: Learning Theories, Instructional Design, Experiential Learning, Information Processing
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Abubaker Abdulkarim Alhitty; Tara Fryad Henari – Technology in Language Teaching & Learning, 2023
This study aims to adapt and extend the DeLone and McLean Information System (IS) success model in the context of an online English as a Foreign Language (EFL) higher education foundation program. The objective is to enhance teaching, learning, and knowledge-sharing experiences within a virtual community of practice (vCoP). The research involved…
Descriptors: Higher Education, Second Language Instruction, Second Language Learning, English (Second Language)
Bander Ayed Allogmany – ProQuest LLC, 2023
Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…
Descriptors: Individualized Instruction, Learning Management Systems, Artificial Intelligence, Technology Uses in Education
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Gurcan, Fatih; Ozyurt, Ozcan; Cagiltay, Nergiz Ercil – International Review of Research in Open and Distributed Learning, 2021
E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning. Accordingly, gaining a full understanding of the general topics and trends in e-learning…
Descriptors: Educational Trends, Electronic Learning, Models, Learning Analytics
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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Ujjwal Biswas; Samit Bhattacharya – Education and Information Technologies, 2024
The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…
Descriptors: Artificial Intelligence, Blended Learning, Flipped Classroom, Technology Uses in Education
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Inma Álvarez; Mara Fuertes Gutiérrez; Matilde Gallardo Barbarroja – Innovation in Language Learning and Teaching, 2024
This paper aims at understanding the extent to which languages are taught collaboratively in higher education (HE), which team teaching (TT) models have been implemented, and what lessons were learnt from the experiences. Following the Arksey and O'Malley framework [2005. "Scoping Studies: Towards a Methodological Framework."…
Descriptors: Team Teaching, Second Language Learning, Second Language Instruction, Faculty Development
Pallavi Singh – ProQuest LLC, 2024
As the engineering education system continuously evolves to meet the demands of modern industry and society, there is a need for a methodology that would manage and resolve the complexities inherent in engineering educational systems. Model-based Systems Engineering (MBSE) is a structured approach to system design that utilizes models across all…
Descriptors: Engineering Education, Models, Learning Analytics, Higher Education
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Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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Saksri Suebsing; Supimol Boonphok; Nithinath Udomson – Higher Education Studies, 2024
The goal of this study is to use creative learning to establish a learning management model for primary teachers in the Roi Et Province. Early childhood educators and students from Roi Et Province's Department of Early Childhood Education comprise the sample group. This was acquired using a basic random sampling technique (simple random sampling)…
Descriptors: Early Childhood Teachers, Educational Innovation, Early Childhood Education, Foreign Countries
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