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Hilal Ugras; Mustafa Ugras; Stamatios Papadakis; Michail Kalogiannakis – Technology, Knowledge and Learning, 2025
This study aims to evaluate the integration of AI-supported ChatGPT into early childhood STEM education from the teachers' perspective. The study group comprised 18 teachers who had previously received training on the use of ChatGPT. A phenomenological approach was adopted within the qualitative research framework, utilising a semi-structured…
Descriptors: Artificial Intelligence, Technology Integration, Early Childhood Education, STEM Education
Teemu Valtonen; Teija Paavilainen; Sonsoles López-Pernas; Mohamed Saqr; Laura Hirsto – Technology, Knowledge and Learning, 2025
This study focuses on learning analytics from the perspective of elementary and secondary classroom teachers (grades one to nine). The aim is to explore teachers' perceptions about the use of learning analytics, the challenges and opportunities associated with the tools, and the future of the analytics. The research is based on qualitative data:…
Descriptors: Elementary School Teachers, Secondary School Teachers, Learning Analytics, Teacher Attitudes
Ning Yan; Andre Batako; Gabriela Czanner; Aiping Zhang – Technology, Knowledge and Learning, 2025
Blended learning modes are becoming the norm in educational institutions. This research investigates the factors affecting teacher satisfaction with online lesson delivery. This study was undertaken in primary, secondary, and higher education institutions across ten countries worldwide. A total of 247 teachers responded to the survey. This work…
Descriptors: Teacher Attitudes, Satisfaction, Electronic Learning, Online Courses
Naska Goagoses; Heike Winschiers-Theophilus; Selma Auala; Nicolas Pope; Erkki Rötkönen; Helvi Itenge; Calkin Suero Montero; Tomi Suovuo; Erkki Sutinen – Technology, Knowledge and Learning, 2025
Mixed reality (MR) provides new opportunities and affordances for fostering student engagement in remote learning. The current qualitative case study set out to (1) explore teachers' perspective of academic engagement in traditional classrooms, (2) explore how teachers' and students' envision engaging lessons using MR for remote learning, and (3)…
Descriptors: Distance Education, Computer Simulation, Learner Engagement, Teacher Attitudes