Date on Master's Thesis/Doctoral Dissertation
12-2025
Document Type
Doctoral Dissertation
Degree Name
Ph. D.
Department
Special Education, Early Childhood & Prevention Science
Degree Program
Curriculum and Instruction, PhD
Committee Chair
Landrum, Timothy
Committee Member
Cooper, Justin
Committee Member
McClure, Erica
Committee Member
Collins, Laura
Author's Keywords
evidence based practice; special education; dissemination; artificial intelligence
Abstract
The persistent gap between educational research and classroom practice continues to limit teachers’ use of evidence-based practices (EBPs), despite strong empirical support and federal mandates encouraging their implementation. A key barrier to closing this research-to-practice gap is the limited accessibility, usability, and perceived relevance of traditional research dissemination formats. With the rapid rise of artificial intelligence (AI) tools capable of summarizing and restructuring complex information, this study examined whether AI-generated practitioner-oriented descriptions of an EBP would be rated differently from a published practitioner article on the same practice. Using an experimental cross-sectional survey design, 70 in-service teachers were randomly assigned to review either a published practitioner article describing the Good Behavior Game (GBG) or an AI-generated description created from a data-based research article. Participants rated the artifact on trustworthiness, usability, accessibility, and relevance to their daily practice. Mann–Whitney U tests showed no statistically significant differences between the AI-generated and practitioner-written artifacts across trustworthiness, usability, or accessibility, suggesting teachers perceived both formats similarly. Chi-square analyses revealed that perceived relevance of the EBP was significantly associated with higher ratings of trustworthiness and usability, though not accessibility. These findings suggest that AI-generated materials may serve as viable tools to support the translation of research into practice, if content is relevant to educators’ contexts. Implications highlight the potential for AI to enhance dissemination efforts, the need for collaboration between researchers and practitioners to ensure accuracy and contextual fit, and the importance of relevance as a key factor influencing educators’ perceptions of EBPs.
Recommended Citation
Hall, Lora T., "A comparision of teachers' ratings of published versus ai-generated descriptions of evidence based practices in Education." (2025). Electronic Theses and Dissertations. Paper 4672.
Retrieved from https://ir.library.louisville.edu/etd/4672
Included in
Other Teacher Education and Professional Development Commons, Special Education and Teaching Commons