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Ann Cleveland; Asli Sezen-Barrie; Franziska Peterson; Sara Lindsay – Journal of College Science Teaching, 2025
Quantitative reasoning (QR) competencies are increasingly called for in the data rich and complex environment of STEM disciplines, including biology. Curricular reform efforts in QR have been directed at disseminating course design and pedagogy but less work has been directed at understanding what faculty at large view as crucial for student…
Descriptors: Biology, Introductory Courses, Science Instruction, Statistics Education
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Giulia Polverini; Jakob Melin; Elias Önerud; Bor Gregorcic – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Artificial intelligence-based chatbots are increasingly influencing physics education because of their ability to interpret and respond to textual and visual inputs. This study evaluates the performance of two large…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Physics
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Jufrida Jufrida; Wawan Kurniawan; M. Furqon; Khairul Anwar; Hebat Shidow Falah; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to explore the innovative integration of machine learning techniques into project-based learning rooted in Malay ethnoscience in Jambi, Indonesia. The research introduces a novel framework that utilizes educational data mining to personalize culturally responsive STEM education in under-resourced public schools.…
Descriptors: Physics, Science Instruction, Learning Analytics, Algorithms