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Direct linkApryl L. Poch; Pyung-Gang Jung; Kristen L. McMaster; Erica S. Lembke – Grantee Submission, 2025
Data-Based Instruction (DBI) has a strong empirical base for supporting the intensive academic needs of students who do not respond to standard treatment protocols. However, teachers use DBI infrequently in practice. In a previous study (Poch et al., 2020), teachers reported supports such as coaching facilitated DBI implementation, whereas access…
Descriptors: Data Use, Teaching Methods, Faculty Development, Special Education Teachers
Kristen L. McMaster; Erica S. Lembke; Emma Shanahan; Seohyeon Choi; Jechun An; Christopher Schatschneider; McKinzie D. Duesenberg-Marshall; Seyma Birinci; Elizabeth McCollom; Carol Garman; Kim Moore – Journal of Learning Disabilities, 2025
In a multiyear, multisite, randomized control trial, we examined the effects of comprehensive professional development designed to support teachers' data-based instruction (DBI) for students with intensive early writing needs. Teachers (N = 154; primarily special educators or intervention specialists) were assigned randomly to a treatment group (n…
Descriptors: Data Use, Individualized Instruction, Writing Instruction, Special Needs Students
Download full textCaitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
Jechun An; Emma Shanahan; Seohyeon Choi; Kristen L. McMaster – Journal of Learning Disabilities, 2025
The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed…
Descriptors: Predictor Variables, Faculty Development, Teaching Methods, COVID-19
