An Investigation of AI-Based Smart Question Bank for University Lecturers in Federal Polytechnic, Bida, Niger State
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Background of the Study
Assessing students' learning progress and understanding is a central function of university lecturers. However, preparing and maintaining a comprehensive and up-to-date question bank for assessments can be time-consuming and labor-intensive (Thompson et al., 2023). AI-based smart question banks offer a solution by automating the process of question generation, categorization, and evaluation, making it easier for lecturers to create and manage diverse assessments. These systems utilize natural language processing (NLP) and machine learning algorithms to automatically generate relevant questions based on the learning objectives, subject material, and the students' academic performance (Zhang & Zhang, 2024).
For Federal Polytechnic, Bida in Niger State, an AI-powered smart question bank could streamline the creation of assessments for lecturers, reducing their workload and allowing them to focus more on instructional activities. This study aims to design and implement an AI-based smart question bank tailored to the needs of university lecturers, improving the efficiency and quality of assessment processes.
Statement of the Problem
At Federal Polytechnic, Bida, lecturers face challenges in managing large question banks and ensuring that assessments are both relevant and diverse. The manual process of creating and categorizing questions for exams is time-consuming, and it may not always ensure balanced and accurate assessments of student knowledge. This study seeks to investigate the feasibility and effectiveness of AI-powered smart question banks in addressing these issues.
Objectives of the Study
- To design and implement an AI-based smart question bank system for university lecturers at Federal Polytechnic, Bida.
- To assess the effectiveness of the AI system in automating the process of question generation and categorization.
- To evaluate the impact of the AI-based system on the quality and efficiency of student assessments at the university.
Research Questions
- How effective is the AI-based smart question bank in automating question generation and categorization?
- What benefits do lecturers experience by using an AI-powered question bank system?
- How does the AI-based smart question bank impact the quality of student assessments?
Research Hypotheses
- The AI-based smart question bank will significantly reduce the time required to create and categorize exam questions.
- Lecturers who use the AI-based question bank will report higher satisfaction with the question creation process.
- The implementation of AI-powered smart question banks will result in more balanced and accurate student assessments.
Significance of the Study
This study will provide university lecturers with a tool to improve the efficiency and effectiveness of the assessment process. By automating the question bank management, the study will help lecturers focus on enhancing teaching methods and addressing student learning needs more effectively.
Scope and Limitations of the Study
This study will focus on the design, implementation, and evaluation of an AI-based smart question bank for university lecturers at Federal Polytechnic, Bida. The research will be limited to undergraduate programs, and the tool will not extend to other institutions or non-academic uses.
Definitions of Terms
AI-Based Smart Question Bank: A digital system powered by artificial intelligence that generates, categorizes, and manages a bank of questions for academic assessments.
Question Generation: The process of automatically creating questions based on learning objectives and course material.
Student Assessment: The process of evaluating students’ knowledge, skills, and learning progress through exams or other forms of evaluation.
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