Research
New papers from ed tech and student success journals, and preprints from arXiv and EdArXiv
Sunday, July 19
Using Bayesian Knowledge Tracing to Evaluate Perceptual Scaffolding and Desirable Difficulties in a Math Intervention
The present study examines the assistance dilemma of providing combinations of perceptual supports in math education by fitting a Bayesian knowledge tracing model (BKT) to an open-source, online order-of-operations intervention dataset. This online intervention dataset contained 688 U.S. middle schoolers' accuracy…
jedm.educationaldatamining.org
Saturday, July 18
Not a universal benefit: Examining the differential effects of emotional AI on L2 pre‐service teachers' language learning
Abstract While emotional design in educational AI is often presented as a universal benefit, this study challenges that assumption, investigating when, for whom and how it impacts L2 vocabulary learning. This paper reports on the first phase of a larger project, analysing data from a quasi‐experimental study with 147…
doi.orgThe Price of Helping Others: Altruistic Preferences and the Gender Wage Gap
doi.orgPerceived Institutional Support and Psychological Well-Being Among International Students in Universities in India: The Mediating Role of Student Engagement
This study examines the relationships among perceived institutional support (PIS), student engagement (SE), and psychological well-being (PWB) among international students in Indian higher education. Data were collected via an online survey from 201 international students and analyzed using partial least squares…
doi.org
Friday, July 17
Designing effective feedback in video lectures using GenAI: The roles of feedback type and learner agency in error detection
doi.orgComparing human and LLM ordered coding of qualitative data: How coding differences cascade through temporal analysis
Automating the process of qualitatively coding text data from learners has been a long-standing ambition of learning analytics researchers since it represents an essential step toward delivering timely and scalable feedback. Automating this process is especially challenging in the case of ordered coding schemes…
doi.orgAI literacy-related domains and AI-TPACK readiness among preservice mathematics teachers: A factor-informed structural equation modelling study
In this factor-informed exploratory CFA/SEM study, AI-literacy-related domains were treated as theoretically informed and empirically tested predictors of AI-TPACK readiness rather than as fully validated independent latent variables. Artificial intelligence (AI) is increasingly entering mathematics education, making…
doi.org
Thursday, July 16
Job Values and Career Choices of STEM PhD Graduates: Evidence from the 2023 Survey of Doctorate Recipients
Contemporary doctoral education is situated within a changing labor market shaped by gender inequity, disciplinary difference, and regional opportunity structure, yet little is known about how students’ job values predict career choices. Guided by the Theory of Work Adjustment and Warr’s Vitamin Model, we examined…
doi.orgGenerative AI-first Maths Support at a Regional Australian University
Maths support has long been present in Australian tertiary education, primarily as a physical space staffed by tutors and complemented by asynchronous resources and accessible via integration into course curricula. This format has proved effective in improving student retention and transition (Horrocks et al., 2026)…
doi.org
Wednesday, July 15
GenAI as a frenemy in teaching: Perceived autonomy and risks
Generative artificial intelligence (GenAI) has the potential to transform education, yet little is known about how teachers’ perceptions of its autonomy and their risk aversion influence their willingness to adopt. This mixed method study utilised a human-AI interaction lens to investigate the psychological processes…
doi.orgHuman-centered GenAI feedback design in higher education: a multisite experiment on direct, reflective, and hybrid approaches to scientific argumentation
Abstract Generative artificial intelligence (GenAI) is increasingly used for feedback in higher education, yet evidence remains limited on how alternative human–AI feedback designs shape learning processes and durable outcomes. This study addresses that gap through a multisite, cluster-randomized, longitudinal field…
doi.org