About
Research Summary
(inferred from publications by AI)The researcher's work focuses on two interrelated areas within the field of educational measurement: mathematics education pedagogy and evolutionary algorithms. Their publications demonstrate a comprehensive approach that integrates these themes to enhance the fairness and validity of test equating processes. By employing advanced computational methods like evolutionary algorithms, they analyze the parallelism among different mathematics test forms, ensuring consistent and comparable results across various formats. This work bridges theoretical advancements in educational theory with practical applications in computational mathematics, aiming to provide robust solutions for fair assessment practices.
Research Themes
Collaboration Network
No collaborations found in the dataset.
About This Profile
This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.