Evaluation of AI-Based Automated Feedback Systems for University Assignments: A Case Study of Federal Polytechnic, Bauchi (Bauchi LGA, Bauchi State)
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Providing timely and constructive feedback is a fundamental aspect of the educational process. It allows students to understand their strengths and weaknesses, enabling them to improve their academic performance. However, the process of providing personalized feedback on assignments can be time-consuming and resource-intensive for instructors, particularly in large classes. Traditional feedback methods may also lack consistency and objectivity, leading to variations in the quality of feedback provided to students. In recent years, AI-based automated feedback systems have emerged as a solution to these challenges, offering the potential to deliver personalized, consistent, and timely feedback at scale.
Automated feedback systems rely on AI algorithms, particularly natural language processing (NLP) and machine learning, to analyze students’ assignments and provide feedback based on predefined criteria. These systems can assess grammar, spelling, writing style, and content quality, as well as provide suggestions for improvement. By implementing AI-powered feedback mechanisms, universities can enhance the feedback process, reduce the burden on instructors, and improve student learning outcomes. This study aims to evaluate the effectiveness of AI-based automated feedback systems in improving the quality and timeliness of feedback for university assignments at Federal Polytechnic, Bauchi, in Bauchi LGA, Bauchi State.
Statement of the Problem
At Federal Polytechnic, Bauchi, instructors often face challenges in providing timely, consistent, and high-quality feedback on student assignments due to large class sizes and resource constraints. Students frequently report dissatisfaction with the feedback they receive, citing issues such as delayed responses, lack of detail, and inconsistency. These challenges hinder students’ ability to improve and achieve academic success. The lack of an automated, AI-driven feedback system exacerbates these issues. There is a need for a more efficient and scalable solution to provide personalized feedback to students, thereby improving their learning experience.
Objectives of the Study
1. To evaluate the effectiveness of AI-based automated feedback systems in providing timely and personalized feedback on student assignments.
2. To assess the impact of AI-generated feedback on student learning outcomes at Federal Polytechnic, Bauchi.
3. To compare the quality and timeliness of AI-based feedback with traditional methods of assignment feedback.
Research Questions
1. How effective are AI-based automated feedback systems in providing timely and personalized feedback to students?
2. What is the impact of AI-generated feedback on student performance and learning outcomes?
3. How does AI-based feedback compare with traditional methods in terms of quality and student satisfaction?
Research Hypotheses
1. AI-based automated feedback will significantly improve the timeliness of feedback provided to students.
2. AI-generated feedback will positively impact student learning outcomes and academic performance.
3. AI-based feedback will be perceived as more consistent and objective compared to traditional methods of feedback.
Significance of the Study
The findings of this study will contribute to the growing body of research on AI applications in education, particularly in the area of student feedback. By evaluating the effectiveness of AI-based feedback systems at Federal Polytechnic, Bauchi, the study will provide valuable insights for improving the quality of feedback provided to students. The results could encourage the adoption of AI-driven feedback mechanisms in other universities and polytechnics, enhancing the overall learning experience for students.
Scope and Limitations of the Study
This study will focus on evaluating the effectiveness of AI-based automated feedback systems for student assignments at Federal Polytechnic, Bauchi, in Bauchi LGA, Bauchi State. The study will focus on assignments in general education courses and assess feedback related to writing quality and content. Limitations include the availability of data, the complexity of student assignments, and potential challenges in integrating AI systems into existing university infrastructures.
Definitions of Terms
• AI-Based Feedback System: A system that uses artificial intelligence to analyze students' assignments and provide automated feedback.
• Natural Language Processing (NLP): A subfield of AI that focuses on the interaction between computers and human languages, enabling systems to understand and generate text.
• Automated Feedback: Feedback generated by a computer system without human intervention.
Related Project Materials
Development of an Augmented Reality-Based English Language Learning App for Secondary Schools in Maiduguri, Borno State
Background of the study
English language proficiency is critical for academic success and global competitiveness. In Maidug...
A CRITICAL ANALYSIS ON THE IMPACT OF THE CONCEPT OF IJBAR ON THE PRACTICE OF CHILD MARRIAGE UNDER ISLAMIC LAW
ABSTRACT
This study critically analyzes the impact of the concept of ijbar on the practice of child marriage under Islamic law. While chi...
An investigation of Mohammed Musa Bello’s tenure and its effect on rural-urban migration in FCT
Background of the Study
The Federal Capital Territory (FCT), with its capital city Abuja, has experienced rapid urbanizatio...
Analysis of IoT‐Based Smart Real‐Time Traffic Flow Monitoring in Lokoja LGA, Kogi State
Background of the study
The increasing urbanization and motorization in Lokoja LGA have precipitated a surge in traffic co...
The influence of cultural beliefs on the education of children with disabilities in Sokoto North LGA, Sokoto State
Background of the Study
Cultural beliefs have long played a pivotal role in shaping educational practices in many communit...
The Effect of Nurses’ Education on Pain Management in Burn Patients in Federal Medical Centre, Minna
Background of the Study
Burn injuries can cause severe and chronic pain, which is a significant barri...
THE EFFECT OF EMPLOYEE MOTIVATION ON ORGANIZATIONAL PRODUCTIVITY IN VERITAS UNIVERSITY
ABSTRACT
This study was carried out to examine the effect of employee motivation on organizational prod...
The effect of President Bola Tinubu’s trade policies on foreign direct investment in Jos North, Plateau State
Background of the Study
Trade policies play a crucial role in shaping the economic landscape of a nation, particularly in r...
Analysis of AI-Based Online Course Recommendation Models in Federal University, Dutsin-Ma, Katsina State
Background of the Study
With the expansion of online learning platforms and digital resources, students now have access to...
An evaluation of traditional medicine usage in the treatment of high blood pressure in Ilesha West Local Government, Osun State
Background of the study
High blood pressure is a pervasive health concern, and traditional medicine conti...
