My work began in 2021 when I founded the annual Human-AI Creative Writing Contest for Hong Kong Secondary Schools. The purpose of the contest is to enhance students’ language learning and to give them a genuine, creative reason to use AI ethically.

Today I work directly with educators in schools, universities and other institutions. I co‑design curricula. I run workshops. I am invited to speak. My output includes nine first-authored SSCI journal articles exploring how generative AI can support language learning.

EVERWRITE is my portfolio of work: the contests, the workshops and speaking engagements, the research and the practical resources I have developed alongside Hong Kong’s teachers and students.

If you share an interest in evidence‑based AI education, I would be glad to collaborate.

Dr David James Woo founded EVERWRITE: Human-AI Education.

Conditions of Entry

  1. A secondary school can enrol students of any Form level in the contest. 

If more than five students from your school would like to attend, please contact the organizers to see if there are sufficient seats. Thank you!

Your students should work together as a team.

  1. All students must attend the workshop at Education University of Hong Kong comprising four contact hours. Teachers need not attend.
  2. Education University has provided a venue and computers. Students can also bring their own device (e.g. laptop, iPad, smartphone etc.) 
  3. The contest starts at 09:00 sharp and doors open at 08:30. Students will sign in at the door.
  4. To enrol your school, teachers-in-charge kindly complete the registration form by June 22, 2026: forms.gle/p1uw933Vgm2Rr9T1A
The official poster of the 2023-24 Human-AI Creative Writing Contest for Hong Kong Secondary Schools, founded by Dr David Woo. The contest's aim is to develop Hong Kong students' and teachers' competence to use ChatGPT for English writing enhancement.

Invited Talks and Workshops

Vibe Coding
Woo, D. (2026, March 26). English Panel Meeting, HKUGA Primary School.

Enhancing Student-centered Learning Experiences with Generative AI
Woo, D. (2026, March 25). Guest Lecture for LDTE3100 Design Thinking as Scientific Inquiry, Chinese University of Hong Kong.

Generative AI and Digital Tools to Support Process-oriented Writing
Woo, D. (2026, February 6). Guest Lecture for ELED4840 Language Assessment and Evaluation, Chinese University of Hong Kong.

Using Google NotebookLM as Automated Writing Evaluation (AWE) Software
Woo, D. (2025, November 14). HKUGA Primary School, School Professional Development Meeting, HKUGA Primary School.

Using large language models (LLMs) with prompt and context engineering strategies to enhance literature reviews
Woo, D. (2025, October 27). Doing Hong Kong History (HIST7008) Session 7, Department of History, University of Hong Kong.

Research Publications

2026. EFL Students’ Attitudes and Contradictions in a Machine-in-the-loop Writing Activity System
Woo, D., Susanto, H., & Guo, K. In T. Wang & T. Keane (Eds.), Artificial Intelligence and the Futures of Learning: Practices towards Quality and Inclusion. Springer. https://link.springer.com/chapter/10.1007/978-3-032-12174-5_19

2026. Developing English academic writing and AI literacy in an EFL co-curricular secondary school context
Woo, D., Kizilates, S., Guo, K., & Wang, D. Innovation in Language Learning and Teaching, 1–17. https://doi.org/10.1080/17501229.2026.2636962

2025. Effects of a prompt engineering intervention on undergraduate students’ AI self-efficacy, AI knowledge and prompt engineering ability: A mixed methods study
Woo, D. J., Wang, D., Yung, T. & Guo, K. British Educational Research Journal, 00, 1–28. https://doi.org/10.1002/berj.70087

2025. Comparing Hong Kong secondary school students’ perceptions of ChatGPT-assisted EFL writing
Woo, D. J., Wang, D., & Guo, K. The Journal of Educational Research, 1–21. https://doi.org/10.1080/00220671.2025.2525243

2025. EFL secondary students’ use of ChatGPT for writing task completion pathways
Woo, D. J., Guo, K., & Susanto, H. The Journal of Educational Research, 1–14. https://doi.org/10.1080/00220671.2025.2510382

Scroll to Top