Objective
The goal of this project is to design and develop a prototype platform for the identification, analysis, and comparison of online tools that support game-based learning (GBL). GBL has gained significant attention due to its ability to stimulate students’ interest, engage them effectively, and facilitate an enriched learning experience. While numerous tools are already available online, many are “simple” adaptations of games not originally designed for educational purposes. This platform will enable users (e.g., teachers) to discover such tools, evaluate them based on customisable criteria, and classify them in a meaningful way. Additionally, integration with Large Language Models (LLMs) is encouraged to enhance functionality.
Key Features
- Tool Discovery : The platform should be capable of browsing and indexing existing online tools for game-based learning.
- Assessment Framework : Users should be able to define their own evaluation criteria or select from different pre-defined criteria options to assess the suitability and effectiveness of these tools.
- Classification Interface : Provide an intuitive interface that allows users to classify, compare, and access the tools based on their assessments.
- Integration with LLMs : Explore how LLMs can be leveraged to enhance features such as automated tool recommendations, detailed analysis reports, or natural language queries.
Technology Stack
- Programming Language : Python is suggested due to its versatility and rich ecosystem of libraries for web development and machine learning.
- Software & Libraries : The specific technology stack (e.g., frameworks, databases, front-end libraries) can be discussed with the instructor. However, it is recommended that:
- The presentation layer be web-based, ensuring accessibility and ease of use.
- The application logic be implemented server-side to handle complex operations securely and efficiently.