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
This project evaluates the effectiveness of Artificial Intelligence (AI) in automating grading and providing feedback in computer education. It focuses on how AI systems enhance accuracy, save time, and offer personalized responses to students. Data was collected from students and lecturers through questionnaires and analyzed statistically. The results show that AI-based grading significantly improves assessment speed and learning outcomes while reducing human error.
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