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Direct linkAli Gohar Qazi; Norbert Pachler – Professional Development in Education, 2025
This paper proposes a conceptual framework enabling the development and adoption of descriptive, diagnostic, predictive and recommendatory data analytics in teacher professional learning by harnessing some of the affordances of digital technologies to convert data into actionable insights. The paper argues for a technology-enhanced approach that…
Descriptors: Faculty Development, Data Analysis, Data Use, Models
Apryl 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
Download full textEirini Kalaitzopoulou; Athanasios Christopoulos; Paul Matthews – Informatics in Education, 2025
While research on Learning Analytics (LA) is plentiful, it often prioritises perspectives on LA systems over the practical ways instructors use data to analyse and refine the learning process per se. The present study addresses this inadequacy by investigating how student data is employed by educators in UK Higher Education Institutions (HEIs) and…
Descriptors: Information Literacy, Learning Analytics, Data Use, College Faculty
Annie S. Ditta; Adriana Signorini; Mathew Williams; Eric R. Johns; Andrea Aebersold; James Zimmerman; Samantha Eastman; Brian Sato; Petra Kranzfelder – To Improve the Academy, 2025
Structured classroom observation protocols provide instructors with data about their teaching practices, but instructors may not meaningfully engage with those data without guidance. To facilitate instructor reflection, educational developers from the Centers for Teaching and Learning (CTLs) and educational researchers from STEM departments across…
Descriptors: Faculty Development, Data Use, Reflection, STEM Education
Jo Boaler; Cathy Williams – Corwin, 2025
How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? "Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World" helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability…
Descriptors: Data Use, Decision Making, Information Literacy, Data Analysis
Chris Wilcoxen; Riley Newman; Morgan Wulff – Educational Process: International Journal, 2025
Background/Purpose: This study examines the use of the Interactive Growth Guide, a structured coaching tool, within a year-long high-intensity induction program for beginning teachers. Specifically, the study investigates how the Interactive Growth Guide was integrated into the mentoring relationship between a beginning teacher and her coach and…
Descriptors: Coaching (Performance), Mentors, Beginning Teachers, Beginning Teacher Induction
Teri Elkins Longacre; Caroline S. Neary – Metropolitan Universities, 2025
In an effort to increase completion rates, the University of Houston (UH) has implemented customized strategies to improve course performance. Course grades impact GPA, and the literature consistently shows a strong positive relationship between GPA and the likelihood of persistence and degree completion. In 2021, UH launched an initiative to…
Descriptors: Data Use, Grades (Scholastic), Academic Achievement, Introductory Courses
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
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
Lana Shklyar Nenide; Kate Sweeney; Gerard Costa; Neal M. Horen; Robert M. Corso; Jordana Ash, Contributor; Lynette Aytch, Contributor; Julie Betchkal, Contributor; Jean Budd, Contributor; Margo Candelaria, Contributor; Corinne G. Catalano, Contributor; Kimberly P. Diamond-Berry, Contributor; Faith Eidson, Contributor; Brandy Fox, Contributor; Keri Giordano, Contributor; Amy Hunter, Contributor; Harleen Hutchinson, Contributor; Nucha Isarowong, Contributor; Ashley McCormick, Contributor; Kelli McDermott, Contributor; Kaitlin Mulcahy, Contributor; Carmen Rosa Noroña, Contributor; Nichole Paradis, Contributor; Rebecca Parlakian, Contributor; Lindsay J. Pearson, Contributor; Thomas Rendon, Contributor; Julia Sayles, Contributor; Jayne Singer, Contributor; Staci Sontoski, Contributor; Kristin Tenney-Blackwell, Contributor; Mary Louise Hemmeter, Contributor – Brookes Publishing Company, 2025
Infant Mental Health (IMH) and the Pyramid Model (PM) are two frameworks with an important common goal: supporting the mental health and social-emotional well-being of infants, young children and their families. For the first time ever, one book integrates these two frameworks to create a more effective, knowledgeable, and responsive early…
Descriptors: Infants, Models, Mental Health, Diversity Equity and Inclusion
