Criteria for selecting artificial intelligence tools and systems for educational purposes

Every AI tool and system should have a clearly defined role in achieving specific learning outcomes, whether these involve acquiring new skills or gaining a deeper understanding of certain concepts. For example, tools that simulate practical exercises can help learners better understand real-world situations through experiential learning.

Examples:

1. Learning outcome: Create functional code and apply it to solve practical problems.
   • Example of how the GitHub Copilot AI system helps achieve this learning outcome:
     • GitHub Copilot generates real-time code suggestions during the writing process, supporting learning through practice and encouraging critical thinking about possible solutions. This directly contributes to the development of practical programming skills.

2. Learning outcome: Interpret a mathematical model and perform a numerical solution to a given problem while verifying the accuracy of the results.

   • Example of how the artificial intelligence tool Photomath can help achieve this learning outcome:

   • Photomath provides detailed explanations for each step in solving a mathematical problem, allowing students to better understand both basic and advanced mathematical techniques. It enables independent exploration and problem-solving, encouraging the development of critical thinking and analytical skills. Quick access to solutions and explanations increases efficiency in learning and exam preparation.

   • Application of Photomath in teaching:

     • Interactive exercises: Instructors can use the application to demonstrate different methods for solving mathematical problems during class.

     • Independent student activities: Photomath can support independent problem-solving, with the option for subsequent checking and feedback from the instructor.

     • Learning assistance: For students who have difficulty with certain mathematical concepts, the application provides additional explanations and individualised support.

In addition to Photomath, the artificial intelligence tool Math Now offers similar functions. As a conversational assistant, it allows users to enter a mathematical problem in text form and provides a step-by-step solution with explanations. This further supports the interpretation of mathematical models, numerical solutions, and verification of results. An example of the application of this tool is shown in the picture.

Figure: The interface of the Math Now web tool while solving a math problem (source: author, screenshot).