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
- Binyaminu Usman Polytechnic, Hadijia, Jigawa State 3
- Borno State University, Maiduguri, Borno State 15
- Bowen University, Iwo, Osun State 1
- Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State 253
- College of Agriculture and Animal Science, Mando Road, Kaduna, Kaduna State 1
- College of Agriculture, Science and Technology, Lafia, Nasarawa State 8
- College of Education, Akwanga (affl To Ahmadu Bello Univ, Zaria) 1
- College of Education, Eha Amufu, (Affliliated To Unn), Enugu State 1
- College of Education, Warri (Affiliated To Delta State Uni, Abraka), Delta State 1
- College of Health Technology, Calabar, Cross River State 1