Assessment in the age of AI
summary
Survey data show 30 conversations with educators and a 2025 ACARA sample of 4,700 year 10s where 26% use AI frequently, 36% occasionally and only 37% meet ICT proficiency. Concrete measures include pen‑and‑paper or lockdown exams, automated tools like CodeGrade, enforced versioning with GitHub and interview hurdles that verify understanding. Institutional rules vary — e.g. 30% secure assessment at one university and 50% at another — and project complexity (Raspberry Pis, APIs, custom helper code) forces real student work.
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chapters (14)
- 0:00Introduction
- 3:56Educator AI policies survey
- 5:03Secure and mixed assessment
- 7:49Current AI usage among Australian students
- 8:54Institutional AI policies
- 10:00Assessment rules with AI
- 11:46Exam assessment challenges
- 13:11Project-based assessment
- 15:36Interviews for understanding
- 16:39Acknowledging AI in work
- 17:23Student views on forced AI
- 18:28AI assistants pedagogical impact
- 21:40Academic integrity defense
- 23:05Conclusion
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