Examples of successful implementation of artificial intelligence tools and systems in education – organisational aspect

A key challenge in introducing AI into the education system is training teaching and technical staff. AI tools and systems are not intuitive for everyone, so institutions must provide the following:

One of the biggest challenges in implementing AI in education is preparing teachers and technical staff for its practical use. Although most teachers today use digital tools, AI-based systems require new knowledge, skills, and an understanding of their capabilities and limitations. To use these tools meaningfully and responsibly, institutions must invest in education and provide support to employees at multiple levels, including:

• Structured training and workshops
• Mentoring and technical support
• Manuals and guides for using AI tools and systems.

Example: 

An example comes from British University Vietnam (BUV), which launched the AI Tutor Initiative to develop competencies and empower teachers and students professionally. BUV encourages responsible and thoughtful use of AI, enabling its application in assignments, research projects, and assessments. Instead of imposing bans, the University developed a system that combines professional guidance, mentoring, and technical support, fostering a learning culture in which AI is explored rather than avoided.

According to a report by Vietnam.vn, teachers at the Center for Research and Innovation regularly conduct workshops and provide students with instructions on the appropriate and ethical use of AI tools in teaching and research. Different levels of AI use have also been introduced – from partial to full – to encourage experimentation and critical reflection on the role of technology in the learning process.

The results are encouraging: students who used AI tools in their research showed higher engagement, better quality work, and greater satisfaction with learning, while teachers developed confidence in using new technologies and gained experience to share with colleagues. BUV has shown that education and continuous support for staff are not only technical prerequisites but also the foundation for creating a culture of responsible, creative, and sustainable application of artificial intelligence in higher education.