Building the future of AI with students, not just for them

Dr Guy Bate, Thematic Lead in Artificial Intelligence, University of Auckland Business School

I recently hosted an ASCILITE Business Education SIG panel session, where we heard from three young entrepreneurs and recent graduates—Anthony Grant, Amelie Parker and Fiona Goodsite—who are not just using AI, but are actively building with it. Their stories offer timely provocations for educators preparing students for a future shaped by AI. Here are some of the key messages I took away from a very rewarding discussion:

  1. Students need space to build confidence with AI, not just rules about its use
    The panellists described their early encounters with AI as a practical response to real challenges such as workload pressure, language barriers, or limited support in large lectures. What stood out was their self-initiative and ability to turn personal frustrations into working solutions. One built AI agents to reduce the manual burden of running a solo business. Another team created a learning support tool after experiencing disconnection and anxiety in traditional lecture settings.
  2. AI can promote inclusion when students help shape how it is used
    One of the tools discussed (TutBob) was designed with accessibility and equity at its core. It includes features for learners with ADHD and dyslexia, supports translation into First Nations languages, and allows content to be simplified or reframed. This kind of innovation pushes us to move beyond generic digital skills. It calls for more inclusive and culturally aware design approaches that reflect the diversity of our classrooms.
  3. AI ‘misuse’ often reflects gaps in learning rather than a desire to cheat
    The panellists shared a common view: many students turn to AI tools when they do not understand the material. The problem is often confusion or a lack of confidence, not laziness or dishonesty. A well-designed learning tool can provide timely support, helping students grasp concepts and stay engaged. This suggests a need to focus less on detection and discipline, and more on early scaffolding that helps students succeed without shortcuts.
  4. Teaching should shift from delivering content to designing experiences
    One panellist reflected on how undergraduate education often emphasised memorisation. In contrast, deeper learning occurred when students were asked to apply knowledge in projects and real situations. The takeaway is clear: Students learn best when they are encouraged to experiment, build, test, and reflect. AI can be part of this process, but it is the educator who sets the stage by designing meaningful experiences.
  5. Responsible use of AI depends on clarity and trust
    Concerns around academic integrity and intellectual property are valid, but overly strict rules can create distrust. Students are often unclear about what is permitted, especially when institutional policies are inconsistent or poorly communicated. Rather than banning AI tools outright, institutions should identify trustworthy options and provide clear guidance on their appropriate use. Students are not asking for permission to cut corners. They are asking for support in learning how to use new tools well.
  6. The classroom of the future should centre use AI to extend capabilities
    The vision offered by the panellists was grounded and personal. They imagined classrooms where every student can access tools that suit their learning style, and where educators remain central to the learning experience. AI should not replace human teaching. It should free up time and energy so that teachers can focus more on guiding, mentoring, and connecting. The aim is not automation, but amplification.

These insights remind us that the future of education is not something we build for students, but something we build with them. As AI continues to evolve, educators have a unique opportunity to learn from how students are already engaging with these tools, not just as users but as innovators. By listening carefully and responding thoughtfully, we can shape learning environments that are technologically advanced, inclusive, empowering, and deeply human.

 

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