Effectiveness of Ai-Based Automated Grading and Feedback Responsed in Computer Education

Student: Favour Omokhodion (Project, 2025)
Department of Computer Science Education
Auchi Polytechnic, Auchi, Edo State. (affl To Nnamdi Azikiwe University, Awka)

Abstract

Data were collected through a Google Form survey designed to assess the use, benefits, and challenges of AI tools in education. The study involved 60 participants — 40 students and 20 instructors selected randomly. A 15-item questionnaire on a four-point scale was developed and validated by the supervisor. Data were analyzed using ByChat. Results showed that AI-based grading systems help evaluate assignments quickly and consistently, enabling instructors to handle larger classes and provide regular assessments.

Keywords

Automated grading

For the full publication, please contact the author directly at: omokhodionfavour202@gmail.com

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Institutions

UMA UKPAI SCHOOL OF THEOLOGY, UYO, AKWA IBOM STATE (AFFL TO UNIVERSITY OF UYO) 1
Umaru Ali Shinkafi Polytechnic, Sokoto, Sokoto State 24
Umaru Musa Yaradua University, Katsina, Katsina State 28
Umca, Ilorin (Affiliated To University of Ibadan), Kwara State 1
University of Abuja, Abuja, Fct 116
University of Africa, Toru-Orua, Bayelsa State 4
University of Benin, Benin City, Edo State 362
University of Calabar Teaching Hospital School of Health Information Mgt. 1
University of Calabar, Calabar, Cross River State 239
University of Ibadan, Ibadan, Oyo State 14