The thesis includes an auxiliary tool intended mainly for students. Its purpose is to help them identify their weaknesses according to the subject of their specialty and direct them to become better based on them. More specifically, each student will start by filling out a questionnaire (school, year, title, course subject, etc.) a call will be made back to an api which in turn will communicate with the gpt chat api and produce a test base of the user’s layer and object. The user will answer the questionnaire and gpt will be called again which in turn will build a profile of the student with his weaknesses. Also, the student will be able to ask gpt to offer him various exercises or screens and articles for practice. Essentially, our program will optimize the search process of a student aiming for his academic improvement, as the GPT program requires complex commands that the average internet user is unable to provide. We will have ready commands (prompts) in a backend which will accept variables which will essentially be the fields that the users will fill in. Once the prompt is completed it will be sent to gpt to produce the result.
Below I am attaching a link suggested by the professor with details on prompting and generative ai.
https://canvas.sydney.edu.au/courses/51655
Finally, I cite some sources for researching the thesis suggested by the supervising professor.
• What is an intelligent tutoring system (ITS)?
• What was the state of ITS before 2022? Types, specific system, what they do, main drawbacks etc.
• Why is personalization in tutoring important?
• What is LLM and Generative AI? Types of GenAI and tools.
• What changed in user interaction with the introduction of GenAI after 2023?
• How has GenAI affected education (e.g. ease of use, academic integrity, etc.)?
• Can GenAI be used for learning?
• What would be the difference between previous ITS and personalized tutoring based on GenAI?
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• What is prompt engineering and why is it important in user/learner interaction with GenAI?
• What is the project about and how will it contribute to a step forward in ITS development?
The work must be in English 30,000 to 50,000 thousand words. The app does not need any specific programming language.