• Resources for Assessment Redesign

Assessment Redesign with GenAI

In order to help educators redesign their assessment approaches to fully harness the potential of GenAI while mitigating its challenges, we have developed multiple resources to provide teachers with innovative assessment ideas and support during this transition.

Full guide: Redesigning Assessment with Generative AI: A Guide for Teachers (HKU Portal login required)

  • Chan, C.K.Y. (2023). Is AI changing the rules of academic misconduct? An in-depth look at students’ perceptions of ‘AI-giarism’. https://arxiv.org/abs/2306.03358
  • Nikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G. M., Grundy, S., … & Sandison, C. (2023). ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity. European Journal of Engineering Education, 1-56.
  • Dai, W., Lin, J., Jin, H., Li, T., Tsai, Y. S., Gašević, D., & Chen, G. (2023, July). Can large language models provide feedback to students? A case study on ChatGPT. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 323-325). IEEE.
  • Li, Y., Sha, L., Yan, L., Lin, J., Raković, M., Galbraith, K., … & Chen, G. (2023). Can large language models write reflectively. Computers and Education: Artificial Intelligence, 4, 100140.
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