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Download full textJohn Y. H. Bai; Olaf Zawacki-Richter; Wolfgang Muskens – Turkish Online Journal of Distance Education, 2024
Artificial intelligence in education (AIEd) is a fast-growing field of research. In previous work, we described efforts to explore the possible futures of AIEd by identifying key variables and their future prospects. This paper re-examines our discussions on the governance of data and the role of students and teachers by considering the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Governance
Peer reviewedParian Haghighat; Denisa Gandara; Lulu Kang; Hadis Anahideh – Grantee Submission, 2024
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…
Descriptors: Prediction, Learning Analytics, Multivariate Analysis, Regression (Statistics)
Peer reviewedKatarzyna Pomian Bogdanov – Grantee Submission, 2024
Teachers often rely on curricular materials as support for implementing reform-based science practices and as educative materials to continue developing ways in which they teach and approach science. Therefore, it is important to understand how teachers develop and use curricular materials and how they learn from their experiences. However, we…
Descriptors: Instructional Materials, Material Development, Values, Science Curriculum
Direct linkAtiye Ayyildiz Altinbas; Erhan Ertekin; Süleyman Solak – International Journal of Mathematical Education in Science and Technology, 2024
This study was performed to determine preservice elementary mathematics teachers' solution performance of systems of linear equations using geometric representation, algebraic representation and transition from geometric representation to the algebraic representation and the predictive role of preservice elementary mathematics teachers'…
Descriptors: Elementary School Teachers, Mathematics Teachers, Problem Solving, Equations (Mathematics)
Mohd Hanafiah Ahmad; Taofeeq Durojaye Moshood; Gusman Nawanir – Journal of Applied Research in Higher Education, 2024
Purpose: This study explores the impact of Industry Revolution 4.0 (IR4.0) on learning factory implementation in Universiti Malaysia Pahang (UMP). A learning factory is an action-oriented approach to teaching with participants acquiring competencies through structured self-learning processes in a production-technological learning environment. It…
Descriptors: Foreign Countries, Active Learning, Universities, Teaching Methods
Peer reviewedHa Tien Nguyen; Conrad Borchers; Meng Xia; Vincent Aleven – Grantee Submission, 2024
Intelligent tutoring systems (ITS) can help students learn successfully, yet little work has explored the role of caregivers in shaping that success. Past interventions to support caregivers in supporting their child's homework have been largely disjunct from educational technology. The paper presents prototyping design research with nine middle…
Descriptors: Middle School Mathematics, Intelligent Tutoring Systems, Caregivers, Caregiver Attitudes
