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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
Download full textTing Cai; Qingyuan Tang; Yu Xiong; Lu Zhang – International Educational Data Mining Society, 2025
Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…
Descriptors: Teacher Behavior, Teaching Methods, Models, Accuracy
Paul A. Jewsbury; J. R. Lockwood; Matthew S. Johnson – Large-scale Assessments in Education, 2025
Many large-scale assessments model proficiency with a latent regression on contextual variables. Item-response data are used to estimate the parameters of the latent variable model and are used in conjunction with the contextual data to generate plausible values of individuals' proficiency attributes. These models typically incorporate numerous…
Descriptors: Item Response Theory, Data Use, Models, Evaluation Methods
Bradley T. Erford – Pearson, 2025
"Transforming the School Counseling Profession" is an introduction that conveys how the roles of the professional school counselor fit together comprehensively. Using easy-to-understand language and illustrated with numerous applied examples, case studies and vignettes, it connects theory to practice with real examples of practitioners…
Descriptors: School Counseling, School Counselors, Counselor Role, Change
Brooke Wilkins – Phi Delta Kappan, 2025
An efficient assessment cycle is a necessary component of early literacy instruction. To support student growth, educators must screen, diagnose, and monitor student progress. Diagnostic assessments provide critical information that can empower educators to address student needs. Using information from diagnostic assessments requires educators to…
Descriptors: Diagnostic Tests, Data Use, Emergent Literacy, Models
Ran Bao; Jianyong Chen – Technology, Knowledge and Learning, 2025
Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…
Descriptors: Learning Analytics, Data Use, Evaluation Methods, Learning Processes
Mingfeng Xue; Ping Chen – Journal of Educational Measurement, 2025
Response styles pose great threats to psychological measurements. This research compares IRTree models and anchoring vignettes in addressing response styles and estimating the target traits. It also explores the potential of combining them at the item level and total-score level (ratios of extreme and middle responses to vignettes). Four models…
Descriptors: Item Response Theory, Models, Comparative Analysis, Vignettes
Benjamin W. Cottingham; Jeannie Myung – Policy Analysis for California Education, PACE, 2025
This case study examines how one school district in California scaled a structured, data-driven approach to teacher collaboration to improve instruction and student outcomes districtwide. Over the last 8 years, Chino Valley Unified School District (CVUSD) has implemented the Professional Learning Community (PLC) at Work model across all schools in…
Descriptors: School Districts, Case Studies, Data Use, Teacher Collaboration
Kun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
Caitlin 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
Nuttaporn Lawthong; Warunee Lapanachokdee; Vorachet Saejea; Purin Thepsathit – International Journal of Educational Management, 2025
Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…
Descriptors: Educational Innovation, Academic Achievement, Foreign Countries, Effect Size
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
