Michael Rowe

Trying to get better at getting better

See Blended Intensive Programmes for background and context.

Other presentations I delivered during this BIP for AI in education and research:


Presentation title: Artificial intelligence in higher education: Opportunities and challenges

Download the presentation.

In this presentation (29 April 2024) as part of the BIP for AI in education and research, Pedro Chana and I talk about the opportunities and challenges of integrating generative AI in professional education.

The integration of artificial intelligence (AI) in higher education presents both significant opportunities and critical challenges that institutions must be prepared to address. This presentation explores key areas where AI can drive innovation, including personalised/adaptive learning through intelligent tutoring systems, virtual assistants and chatbots to facilitate student interactions, generative AI as an e-tutor to enhance subject comprehension, AI-enabled assessment of student progress, and reinforcement of teachers’ pedagogical skills.

We outline potential opportunities, such as AI’s capacity for personalised learning experiences tailored to diverse student needs, virtual assistants offering natural language support, and generative AI models serving as disruptive e-tutors. We examine different challenges, including academic integrity, controlling inaccuracies from generative models, and the need for faculty to redefine teaching methodologies and evaluations.

The presentation provides a framework for prompting AI systems effectively, emphasising context-rich inputs for high-quality outputs. It suggests the need for restructuring assessments beyond rudimentary essay writing to prioritise applied problem-solving with AI as a tool. We also discuss AI advances like larger context windows, retrieval-augmented generation, AI agents/personas, open source models, and multimodal AI models.

Participants reflect on AI integration opportunities across time horizons and institutional roles, as well as perceived challenges. These insights aim to facilitate higher education’s embrace of AI’s transformative potential while proactively addressing ethical risks and pedagogical shifts required for responsible implementation.


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3 responses to “BIP AI – AI in education: Opportunities and challenges”

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