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
- Landmark University, Omu-Aran, Kwara State 1
- Lead City University, Ibadan, Oyo State 1
- Lens Polytechnic, offa, Kwara State. 214
- Madonna University, Elele, Rivers State 20
- Madonna University, Okija, Anambra State 2
- Mcpherson University, Seriki Sotayo, Ogun State 1
- Michael and Cecilia Ibru University, Owhrode, Delta State 1
- Michael Okpara University of Agriculture, Umudike 43
- Michael Otedola Col of Primary Educ. Epe, Lagos (affl To University of Ibadan) 8
- Modibbo Adama University, Yola, Adamawa State 15