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Jelena Mihajlovic-Milicevic; Miloš Radenkovic; Aleksandra Labus; Danijela Stojanovic; Zorica Bogdanovic – Interactive Learning Environments, 2024
This paper studies the problem of coordination and supervision of virtual teams and their capabilities. The goal is to develop a model suitable for managing virtual student teams specialized in the development of smart environments. The developed model is based on SAFe and DevOps, which when combined provide us with a framework for the evaluation…
Descriptors: Educational Environment, Virtual Classrooms, Group Instruction, Active Learning
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Fatima Rahioui; Mohammed Ali Tahri Jouti; Mohammed El Ghzaoui – Journal of Educators Online, 2024
Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging,…
Descriptors: Artificial Intelligence, Biological Sciences, Scientific Concepts, Technology Integration
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de Andrade, Tiago Luís; Rigo, Sandro José; Barbosa, Jorge Luis Victória – Informatics in Education, 2021
Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students.…
Descriptors: Learning Analytics, Distance Education, Dropout Prevention, Data Analysis
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Alina Hase; Poldi Kuhl – Educational Technology Research and Development, 2024
Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…
Descriptors: Instructional Design, Technology Uses in Education, Journal Articles, Decision Making
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis
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Ping Zhao; Chunling Sun; Baojun Lv; Lan Guo; Jiansheng Gao; Xin Zhao; Fengming Jiao – International Journal of Information and Communication Technology Education, 2024
This paper discusses the application value of the writing teaching mode combined with the mixed teaching mode in college English writing teaching against the background of big data. Focusing on production-oriented approach (POA) theory, this paper proposes a mixed learning writing model for English teaching and applies the POA mixed learning…
Descriptors: Writing Instruction, Blended Learning, Data Analysis, Data Collection
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Wu, Jiun-Yu; Liao, Chen-Hsuan; Cheng, Tzuying; Nian, Mei-Wen – Educational Technology & Society, 2021
Amid the pandemic of coronavirus diseases, virtual conferences have become an alternative way to maintain the prosperity of the research community. This study investigated attendees' participatory behavior in a virtual academic conference (TWELF2020, Taiwan) and studied the interrelationship among their mastery experience, competence, and…
Descriptors: Data Analysis, Behavior Patterns, Psychological Patterns, Videoconferencing