Turku Research Institute for Learning Analytics
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- A Clustering Method to Detect Disengaged Students from Their Code Submission History (2022)
- A Data-Driven Approach to Compare the Syntactic Difficulty of Programming Languages (2023)
- A Latent Factor Analysis of Working Memory Measures Using Large-Scale Data (2017)
- Arithmetic fluency and number processing skills in identifying students with mathematical learning disabilities (2024)
- Artificial systematic attenuation in eta squared and some related consequences: attenuation-corrected eta and eta squared, negative values of eta, and their relation to Pearson correlation (2022)
- Associations of excessive internet use, sleep duration and physical activity with school absences : a cross-sectional, population-based study of adolescents in years 8 and 9 (2024)
- Attenuation-Corrected Estimators of Reliability (2022)
- Automatically detecting previous programming knowledge from novice programmer code compilation history (2023)
- A Virtual Reality Laboratory for Blended Learning Education: Design, Implementation and Evaluation (2023)
- Bebras Challenge in a Learning Analytics Enriched Environment: Hungarian and Indian Cases (2022)
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