This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

This research explores students' homework engagement across three dimensions: (a) cognitive, (b) emotional, and (c) behavioral activities, specifically contrasting private and public secondary schools in Addis Ababa. A qualitative research methodology was utilized, with reliability and validity assessments carried out through peer review, site…