This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…

This paper reports on an action research project involving the redesign, implementation and evaluation of a peer tutor program in a first year design studio in higher education. The effectiveness of the revised program, particularly its capacity to support learning for commencing students in the environment of a creative studio, is examined…

This review investigates effective interventions for teaching algebra to students with learning disabilities and evaluates the complexity and alignment of skills with the Common Core State Standards in math. The review includes the results of 10 experimental and 5 single-subject designs (N = 15) producing a moderate overall effect size (g = 0.48).…

This qualitative study describes the experience of a cross-age tutoring intervention for three PreKindergarten/Kindergarten-aged students with autism and their fourth grade general education tutors. Data were collected in an inclusive environment; the school library. Three fourth grade general education cross-age tutors were trained to use a…

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…