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Updated: Oct 7, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
Designing an intelligent tutoring system for computer programing in the Pacific.
Priynka Sharma1, Mayuri Harkishan1
1School of Information Technology, Engineering, Mathematics and Physics (STEMP), The University of the South Pacific Suva, Laucala Campus, Suva, Fiji.
This study proposes an Intelligent Tutoring System (ITS) for online programming courses, utilizing AI and optimized ant colony algorithms. The system aims to enhance student learning and provide an immersive experience, potentially improving programming education efficiency.
Area of Science:
- Computer Science Education
- Artificial Intelligence in Education
Background:
- Intelligent Tutoring Systems (ITSs) leverage AI for educational delivery.
- Online programming courses can benefit from enhanced learning tools.
Purpose of the Study:
- To outline the architectural design of the Programming-Tutor, an ITS.
- To propose a model domain for a subset of computer programming.
- To enhance student learning and provide an immersive experience in online programming courses.
Main Methods:
- Designing an ITS architectural model focusing on user interaction.
- Utilizing intelligent algorithms, specifically optimized ant colony, for the ITS.
- Developing a model domain for a subset of computer programming languages.
Main Results:
- The proposed ITS, Programming-Tutor, is designed for online programming courses.
- It aims to provide high-quality, prompt feedback to students.
- The system is intended to support complex learning principles in computing science.
Conclusions:
- The ITS has the potential to significantly benefit students in the Pacific region.
- It is hypothesized to enhance learning efficiency and speed compared to conventional online methods.
- The system offers an immersive learning experience and supports formative assessment.
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