Formative Feedback Technique through Online Mode to Evaluate to Evaluate Students Programming Skills

Abstract

In today's digital era, programming skills are essential for success in various fields, leading educators, and institutions to seek innovative approaches for evaluating and enhancing students' programming abilities. Online learning platforms have emerged as popular mediums for delivering programming courses due to their flexibility and accessibility. However, assessing students' programming skills in an online environment poses unique challenges. To address this, formative feedback techniques, particularly utilizing the Rasch model, have gained prominence as effective means of evaluating students' programming skills. The Rasch model, a psychometric measurement model, offers a framework for measuring students' proficiency levels based on the difficulty of programming tasks. By employing an iterative sequence, instructors can continuously evaluate students' progress, provide personalized feedback, and tailor teaching strategies accordingly. This combination of formative feedback techniques, the Rasch model, and an iterative sequence holds great promise for evaluating and enhancing students' programming skills in an online mode. It fosters a supportive and effective learning environment that nurtures students' programming abilities and prepares them for success in a technology-driven world.