Implementation of AI-Based Intelligent Student Group Formation for Collaborative Learning in Gombe State Polytechnic, Bajoga, Gombe State
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- NGN 5000
Background of the Study
Collaborative learning has become a central pedagogical approach in higher education, aiming to enhance student engagement, critical thinking, and problem-solving skills. One key aspect of successful collaborative learning is the formation of balanced and diverse student groups, which fosters productive collaboration and academic growth. Traditional methods of group formation often rely on random assignment or subjective criteria, which can lead to unequal group dynamics, resulting in some students being overburdened or underperforming.
The integration of Artificial Intelligence (AI) in the formation of student groups offers a promising solution. AI-based intelligent group formation systems can analyze a wide range of factors, such as academic performance, learning styles, interests, and personality traits, to generate balanced and effective student groups. In Gombe State Polytechnic, Bajoga, Gombe State, the challenge remains in forming optimal groups for collaborative learning that cater to the needs and abilities of each student. This study aims to develop and implement an AI-based system for intelligent student group formation to enhance collaborative learning experiences at the institution.
Statement of the Problem
At Gombe State Polytechnic, Bajoga, the current methods of student group formation for collaborative learning often result in imbalanced teams, with disparities in performance, motivation, and contribution levels. This undermines the effectiveness of collaborative learning. While AI has the potential to address these challenges, its application in intelligent group formation has not been sufficiently explored. The aim of this study is to design and implement an AI-based system that ensures equitable and effective group formation for collaborative learning.
Objectives of the Study
1. To design and implement an AI-based intelligent student group formation system for collaborative learning at Gombe State Polytechnic.
2. To assess the effectiveness of the AI-based system in forming balanced student groups that enhance collaborative learning outcomes.
3. To explore the challenges and benefits of implementing AI-based intelligent group formation in the context of higher education.
Research Questions
1. How effective is the AI-based intelligent student group formation system in ensuring balanced and diverse student groups for collaborative learning?
2. What impact does the AI-based group formation system have on students' engagement and performance in collaborative learning activities?
3. What challenges and opportunities exist in implementing AI-based group formation systems in higher education?
Research Hypotheses
1. The AI-based intelligent group formation system results in more balanced and diverse student groups compared to traditional methods.
2. The use of the AI-based system enhances students' engagement and performance in collaborative learning tasks.
3. The implementation of the AI-based group formation system faces challenges related to system adoption, data accuracy, and resistance from students.
Significance of the Study
This study will provide insights into the role of AI in improving collaborative learning outcomes through optimized group formation. By adopting AI-based solutions, Gombe State Polytechnic can enhance its collaborative learning activities, fostering a more engaging and productive learning environment for students.
Scope and Limitations of the Study
The study will focus on the design, implementation, and evaluation of an AI-based student group formation system for collaborative learning at Gombe State Polytechnic, Bajoga, Gombe State. Limitations may include the availability of student data, technical limitations of the AI system, and the willingness of students to embrace AI-driven group formation.
Definitions of Terms
• AI-Based Intelligent Group Formation: A system powered by AI algorithms that creates balanced and diverse student groups for collaborative learning based on various student characteristics.
• Collaborative Learning: An educational approach where students work together in groups to achieve common learning goals.
• Student Group Formation: The process of assigning students to specific groups for collaborative activities.
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