Learning Path 3: AI, Assessment, and Academic Integrity

⚖️ Section 2: Risks + Opportunities

We’ll begin by naming both sides of the coin — the tensions and possibilities that AI introduces into assessment.

Risks to Watch For

• Masking learning: AI-written work may hide a student’s actual skill level
• Equity gaps: Some learners have better access to tools, devices, and support
• Overuse: Students may rely on AI instead of developing independent thinking
• False positives: Detection tools can wrongly flag innocent students — especially Māori, Pasifika, ESOL, or neurodivergent learners
• Hidden workload: Tutors may face added complexity when evaluating AI-supported work

Opportunities to Embrace

• Shift the focus to process, thinking, and reflection
• Assess the human layer — decision-making, critique, and insight
• Support digital literacy while upholding academic ethics
• Reduce busywork to surface deeper learning
• Strengthen feedback loops through clearer explanation of student thinking

💬 “When we asked students to explain how AI supported their draft — they were more thoughtful, not less.”

🪶 Kaupapa Māori Lens — Whakaaro | Perspective

From a kaupapa Māori perspective, the key question isn’t:

“Can students cheat?”

but rather:

“Does this assessment protect and strengthen the mana of the student?”

Risk through a Tikanga Lens

AI misuse can:

• Erode self-efficacy
• Undermine authentic voice
• Create whakamā or self-doubt

Opportunity through a Tikanga Lens

Thoughtful redesign can:

• Honour ako (reciprocal learning)
• Build whanaungatanga through shared kōrero
• Strengthen kaitiakitanga by teaching responsible AI use
• Support tino rangatiratanga by positioning learners as decision-makers

Whaiwhakaaro | Reflection

How might your current assessments either strengthen or diminish student mana?

Tip: 💡 Explore this further in Section 6: Mana and Assessment Deep Dive.