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
For the full publication, please contact the author directly at: omokhodionfavour202@gmail.com
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Institutions
- Federal College of Education (Tech), Gusau, (Affl To Abu Zaria), Zamfara State 1
- Federal College of Education, Abeokuta (Aff To University of Ibadan), Ogun State 2
- Federal College of Education, Eha-Amufu, Enugu State 1
- Federal College of Education, Kano (Affl To Ahmadu Bello University, Zaria) 1
- Federal College of Education, Kontagora, (Affl To Abu, Zaria), Niger State 2
- Federal College of Education, Okene, (Affl. To University of Ibadan), Kogi State 3
- Federal College of Education, Pankshin, (Affl To Uni of Jos), Plateau State 2
- Federal College of Education, Zaria, Kaduna State (affl To Abu, Zaria) 1
- Federal College of Wildlife Management, New Bussa, Niger State 1
- Federal Cooperative College, Ibadan P.m.b. 5033, Eleyele, Ibadan, Oyo State 3