Development of an AI-Based Teaching Assistant for Secondary Schools in Dutse Local Government Area, Jigawa State
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- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
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- NGN 5000
Background of the Study
With the growing demand for personalized and efficient learning in secondary schools, the use of AI-based teaching assistants is becoming increasingly important. In Dutse Local Government Area, Jigawa State, schools face challenges related to limited teaching staff, overburdened teachers, and the need to cater to diverse student needs. AI-powered teaching assistants can help alleviate these challenges by providing personalized learning support, automating routine administrative tasks, and assisting with lesson delivery.
An AI-based teaching assistant can engage students in real-time, answer questions, assist with homework, and provide additional learning resources tailored to each student’s needs. By integrating AI into the learning process, students can receive more focused attention, while teachers can devote more time to high-level instruction and student interaction. The system would be designed to interact with students using natural language processing (NLP), provide feedback on assignments, and track student progress. Technologies like Python for machine learning, TensorFlow for NLP models, and Flask for back-end development will be used to create a user-friendly, web-based platform.
Statement of the Problem
Secondary schools in Dutse Local Government Area are faced with challenges such as large class sizes, insufficient teaching staff, and a need for more personalized attention for students. These challenges impact the quality of education and hinder effective teaching. The lack of resources and support tools for teachers leads to less effective learning outcomes for students, especially those who may need additional support.
Objectives of the Study
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To design and develop an AI-based teaching assistant for secondary schools in Dutse Local Government Area.
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To assess the effectiveness of the AI teaching assistant in improving student learning outcomes.
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To evaluate the usability and satisfaction of both students and teachers in using the AI teaching assistant.
Research Questions
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How does the AI-based teaching assistant improve student engagement and learning outcomes in secondary schools in Dutse?
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What features of the AI teaching assistant do students find most helpful in their learning?
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How do teachers perceive the usefulness of the AI teaching assistant in supporting classroom activities?
Research Hypotheses
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The AI-based teaching assistant will improve student engagement and learning outcomes.
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Students will find features such as real-time feedback, homework assistance, and personalized learning resources to be highly beneficial.
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Teachers will report high satisfaction with the AI teaching assistant’s ability to assist with classroom tasks and student support.
Significance of the Study
The development of an AI-based teaching assistant will enhance the quality of education in secondary schools in Dutse Local Government Area. By providing personalized learning support and reducing teacher workload, the system will improve student performance and engagement, contributing to better educational outcomes.
Scope and Limitations of the Study
This study will focus on the design, development, and implementation of an AI-based teaching assistant for secondary schools in Dutse Local Government Area, Jigawa State. Limitations may include challenges related to AI model accuracy and the availability of teaching resources for system integration.
Definitions of Terms
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AI-Based Teaching Assistant: An artificial intelligence-powered system designed to support teachers and students by providing personalized learning and administrative assistance.
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Natural Language Processing (NLP): A field of AI that enables machines to understand, interpret, and generate human language.
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Personalized Learning: An educational approach that tailors learning experiences to meet the individual needs, interests, and learning styles of students.
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