Behind the scenes of educational data mining. - Yael Feldman-Maggor; Sagiv Barhoom; Ron Blonder; Inbal Tuvi-Arad (Educ. Inf. Technol., 2021)

Let them choose: Optional assignments and online learning patterns as predictors of success in online general chemistry courses. - Yael Feldman-Maggor; Ron Blonder; Inbal Tuvi-Arad (Internet High. Educ., 2022)

Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data. - Brad Din; Tanya Nazaretsky; Yael Feldman-Maggor; Giora Alexandron (EDM, 2023)

Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries. - Olga Viberg; Mutlu Cukurova; Yael Feldman-Maggor; Giora Alexandron; Shizuka Shirai; Susumu Kanemune; Barbara Wasson; Cathrine Tømte; Daniel Spikol; Marcelo Milrad; Raquel Coelho; René F. Kizilcec (CoRR, 2023)

Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. - Yael Feldman-Maggor; Tanya Nazaretsky; Giora Alexandron (CSEDU (1), 2024)

Seeing the Forest from the Trees: Unveiling the Landscape of Generative AI for Education Through Six Evaluation Dimensions. - Yael Feldman-Maggor; Teresa Cerratto-Pargman; Olga Viberg (EC-TEL (2), 2024)

Navigating the online learning journey by self-regulation: Teachers as learners. - Yael Feldman-Maggor; Inbal Tuvi-Arad; Ron Blonder (Comput. Educ., 2024)

Chatting with Code: Exploring LLMs as Learning Partners in Programming Education. - Olga Viberg; Jacqueline Wong; Yael Feldman-Maggor; Nora Dunder; Carrie Demmans Epp (AIED (6), 2025)