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Yan Yang; Yoon Fah Lay – Education and Information Technologies, 2025
The global impact of COVID in 2020 is forcing higher education institutions in many countries to adopt a hybrid model of education. The shift to blended education has been trending globally. However, the change in pedagogy has reduced the quality of students' learning experience and prevented them from deep learning. Therefore, the current study…
Descriptors: Blended Learning, Higher Education, Resilience (Psychology), Teacher Role
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Irene Benedetto; Moreno La Quatra; Luca Cagliero; Lorenzo Canale; Laura Farinetti – Education and Information Technologies, 2024
Modern educational technology systems allow learners to access large amounts of learning materials such as educational videos, learning notes, and teaching books. Automated summarization techniques simplify the access and exploration of complex data collections by producing synthetic versions of the original content. This paper addresses the…
Descriptors: Learning Analytics, Documentation, Blended Learning, Video Technology
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Sedef Süner-Pla-Cerdà; Elif Öztürk; Canan Emine Ünlü – Education and Information Technologies, 2025
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors, reflective dialogues through project deliverables, and enculturation through activities and encounters facilitated by a physical studio setting. Contrasting the traditional lecture-based format, the…
Descriptors: Studio Art, Design, Architecture, Building Design
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Bekir Yildirim – Education and Information Technologies, 2024
This study aimed to examine the effects of TRIZ-STEM applications within an online flipped learning model on teachers' problem-solving skills, creative thinking dispositions, STEM teaching, and their understanding of the nature of engineering. The sample consisted of 57 teachers (24 in the control group and 33 in the experimental group) recruited…
Descriptors: Blended Learning, STEM Education, Teacher Education, Instructional Innovation
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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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Antwi-Boampong, Ahmed – Education and Information Technologies, 2020
Management of the Ghana Technology University College took the decision to adopt blended learning (BL) for teaching and learning because of its effectiveness as a learning approach. However, academicians are apprehensive about teaching in blended learning environment. A major study to understand the factors influencing faculty to adopt blended…
Descriptors: Foreign Countries, Blended Learning, College Faculty, Adoption (Ideas)
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Li, Xiaoxia; Zhu, Wanxia – Education and Information Technologies, 2023
Based on the existing 3P model, this paper constructed a new 3P model under the blended-project-based learning (BPBL) environment, used the course teaching data to verify this model, and revealed the potential factors that affect the learning process and learning outcomes. The results showed that the presage variables of academic motivation and…
Descriptors: Transfer of Training, Skill Development, Blended Learning, Active Learning
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Catalina Ramírez-Aristizábal; Renato de Oliveira Moraes – Education and Information Technologies, 2024
Learning Management Systems (LMS) have gained importance in the last few years; however, the emergence of COVID-19 disease made these systems indispensable for educational systems. In the post-pandemic scenario and blended learning contexts, this kind of information system is also becoming more critical as a support system. Therefore, this…
Descriptors: Learning Management Systems, Success, COVID-19, Pandemics
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Hassoulas, Athanasios; de Almeida, Andreia; West, Hannah; Abdelrazek, Mohamed; Coffey, Marcus J. – Education and Information Technologies, 2023
Whilst the use of various blended learning models preceded the COVID-19 pandemic, the abrupt shift to remote delivery served as catalyst within the sector in enhancing digital solutions to meet immediate student needs. As we emerge from the pandemic, a return to purely didactic and impersonal in-person teaching seems anticlimactic, with the return…
Descriptors: Models, Evidence Based Practice, Blended Learning, Medical Education
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Yin, Bin; Yuan, Chih-Hung – Education and Information Technologies, 2022
With the rapid application of blended learning around the world, a large amount of literature has been accumulated. The analysis of the main research topics and development trends based on a large amount of literature is of great significance. To address this issue, this paper collected abstracts from 3772 eligible papers published between 2003…
Descriptors: Blended Learning, Flipped Classroom, Educational Trends, Trend Analysis
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Van Laer, Stijn; Elen, Jan – Education and Information Technologies, 2017
Blended forms of learning have become increasingly popular. Learning activities within these environments are supported by a large variety of online and face-to-face interventions. However, it remains unclear whether these blended environments are successful, and if they are, what makes them successful. Studies suggest that blended learning…
Descriptors: Blended Learning, Self Management, Educational Research, Individualized Instruction
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Nguyen, Viet Anh – Education and Information Technologies, 2017
This article presents a model using peer assessment to evaluate students taking part in blended - learning courses (BL). In these courses, teaching activities are carried out in the form of traditional face-to-face (F2F) and learning activities are performed online via the learning management system Moodle. In the model, the topics of courses are…
Descriptors: Models, Peer Evaluation, Student Evaluation, Blended Learning