2. Key organisational factors
2.1. Technical infrastructure
Without a reliable and modern technological infrastructure, applying artificial intelligence in teaching or supporting educational stakeholders remains technically unfeasible. To establish this infrastructure, the following key components must be ensured:
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A stable internet connection that allows continuous access to digital tools and platforms.
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Computer equipment and devices capable of supporting tools and systems based on artificial intelligence.
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Security and data management systems that protect personal and institutional information.
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Servers or access to cloud technologies, for example, to host artificial intelligence models or store data.
Example:
Arizona State University (ASU) is one of the first universities to systematically implement ChatGPT Edu in its teaching, research, and administrative processes. The platform supports academic writing, data analysis in research, healthcare simulations, and personalised learning and communication with students. The College of Health Solutions has developed a chatbot called Sam, based on ChatGPT technology, which allows students to practice communication between patients and healthcare professionals through simulated role-playing conversations. This approach helps students develop motivational and communication skills and makes it easier for teachers to provide qualitative feedback based on automatically generated interaction transcripts. ASU has established clear guidelines for the responsible and safe use of artificial intelligence that protect student privacy, ensure research data security, and safeguard intellectual property. This comprehensive approach makes this university a leader in the ethical, institutionally supported, and technically viable use of artificial intelligence in higher education.
ChatGPT Edu is a special version of the ChatGPT system, developed for higher education institutions to enable the safe, ethical, and educationally relevant use of artificial intelligence. Unlike the publicly available version, as highlighted in an analysis on the OnlineEducation.com portal, ChatGPT Edu operates in a closed system with advanced security and privacy mechanisms. Data shared by students and teachers is not used to train future models, further ensuring the protection of privacy and the integrity of institutional information. The system provides administrative access control, user account management, and data storage within the institution, and can be integrated with educational platforms such as Moodle, Canvas, or Blackboard Learn Ultra. Based on the GPT-4o model, ChatGPT Edu enables text and image analysis and the use of advanced data processing and visualisation tools, making it useful in various disciplines and contexts in higher education.
The example of the Arizona State University shows that the successful application of artificial intelligence in higher education depends not only on the technical sophistication of the tools but also on institutional infrastructure, security protocols, and a culture of responsible and thoughtful use. This case can serve as a model for other higher education institutions because it combines a stable and secure technological foundation, clearly defined ethical standards, and the active involvement of teachers and students in the implementation process. Such an approach enables the development of sustainable, safe, and meaningfully integrated use of artificial intelligence in higher education, supporting innovation while preserving academic integrity.
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