Criteria for selecting artificial intelligence tools and systems for educational purposes

2. Key Criteria

2.7. Quality of support and available resources

The successful implementation of AI-based systems in education depends not only on their technical capabilities but also on the level of support available to educational stakeholders. Without clear instructions and well-organised user support, advanced tools can be difficult to use and cause frustration. This highlights the need to ensure reliable assistance mechanisms, such as guides, tutorials, educational resources, and access to expert support when needed, alongside technology development. The availability of support greatly affects the acceptance and effectiveness of the tool in the educational process.

Examples:

  • The Copilot for Microsoft 365 tool uses artificial intelligence to support writing and text analysis in applications such as Word, Excel, and PowerPoint. The tool is accompanied by a wide range of resources for students and teachers, including integrated instructions within the applications, interactive demonstrations, detailed guides, and video materials. In addition, community forums and official technical support are available, allowing users to master new functionalities more quickly and reducing dependence on prior technical knowledge. This ensures that educational stakeholders can effectively use Copilot in educational tasks without unnecessary obstacles.
  • Khan Academy provides support for the use of the virtual assistant Khanmigo (AI tutor Khanmigo) developed in collaboration with OpenAI. This system allows users to ask questions and receive feedback in real time, encouraging active learning and timely clarification of ambiguities. The platform also offers manuals, video tutorials, answers to frequently asked questions, and advice for educational stakeholders. High-quality documentation and ongoing support contribute to greater acceptance of the tool and its effectiveness in the educational environment.
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