Teaching

Courses

I’m a core teaching team member in the Master of Data Science and Innovation degree/ course at the University of Technology Sydney. I coordinate and teach the following subjects:

Current:

36118: Applied Natural Language Processing

Past:

36106 Machine Learning Algorithms and Applications (Previous version: Data, Algorithms and Meaning)

36102: Innovation Lab iLab 1

36105: Innovation Lab iLab 2

94692: Data Science Practice

36100: Data Science for Innovation

94691: Deep Learning

Presentations and Open Publications

List of presentations and outputs related to my teaching are below, which often integrate leading research in authentic classroom practice (and might have seperate publications in my research portfolio). Details of the awards and recognition for my teaching are in my CV.

Teaching and Learning forums

  •  Antonette Shibani, Ajanie Karunanayake & Simon Knight(2024).Embedding critical and ethical thinking in the curriculum using generative AI. 2024 UTS Teaching and Learning Forum.
  • Simon Buckingham Shum, Jan McLean, Nicole Pepperell, Antonette Shibani, Lisa-Angelique Lim, Mohsen Ebrahimzadeh & Arjun Khanijau (2024). 1300 UTS student voices on GenAI. 2024 UTS Teaching and Learning Forum.
  • Mohsen Ebrahimzadeh, Antonette Shibani, Simon Buckingham Shum (2024) Prototyping large language models in assessment design to ensure academic integrity in the age of artificial intelligence. 2024 UTS Teaching and Learning Forum.
  • Antonette Shibani (2023, November). Augmenting Teaching and Assessment with Generative AI: Successes and Challenges. Presentation at the UTS Teaching and Learning Forum 2023.
  • Antonette Shibani & Leila Khanjaninejad (2023, August)  WIL experience in a TD Space. UTS Work Integrated Learning (WIL) Symposium 2023. [Student Voices].
  • Antonette Shibani, Chin Yeow Wong & Adrian Buck (2020, December) Effective Work-Integrated Learning in Remote Settings: Lessons from Innovation Labs. Presentation at the UTS Teaching and Learning Forum 2020.
  • Antonette Shibani, Sophie Abel & Simon Knight (2018).Computerised writing support with AcaWriter – Examples from three learning contexts. UTS Teaching and Learning Forum 2018.
  • Antonette Shibani, Simon Knight, Philippa Ryan (2017). Intervention design for undergraduate law students to learn rhetorical writing using learning analytics. UTS Teaching and Learning Forum 2017.

Workshops organised

  • Simon Buckingham Shum, Baki Kocaballi & Antonette Shibani 2023 (Feb). Framing generative AI as EdTech. UTS LX lab talk (Slides, video recording)
  • Simon Buckingham Shum & Antonette Shibani (Oct 2020 – Jan 2021). 24/7 Instant Feedback on Writing: Integrating AcaWriter into your Teaching. LX Lab monthly workshop for academics. University of Technology Sydney.
  • Ming Liu, Antonette Shibani & Simon Buckingham Shum (Sep 2020). Using AcaWriter to help develop student writing. Workshop at the LX Lab.
  • Antonette Shibani, Giedre Kligyte, Bem Le Hunte (2019) ‘Data is the new ..’ Workshop at the Festival of Learning Design, UTS [Interview on the use of collaborative space].
  • Sophie Abel and Antonette Shibani (2018, July). Using AcaWriter to help develop student writing. Presentation at the UTS Learning Futures Lab.

Case studies

36200: Arguments, Evidence and Intuition, an undergraduate course at UTS which teaches quantitative literacy, basic statistics and critical thinking skills.

Research Supervision

  • Principal supervisor for Doctoral candidate (2022 – Ongoing): Ajanie Madhubhashi Karunanayake Kodagoda. Supporting Information Problem Solving in the Age of Misinformation and Generative AI: A Socio-Technical Approach.
  • Principal supervisor for Doctoral candidate Mohsen Ebrahimzadeh (2024 – Ongoing) with Simon Buckingham Shum (Co-supervisor): Examining Assessment Integrity in the age of AI.
  • Co-supervisor for Doctoral Candidate Yushang Cao (2024 – Ongoing) with Damian Maher (Principal supervisor, FASS). The Human-Machine Partnership: Enhancing L2 Writing Skills through ChatGPT Assistance.
  • Co-supervisor for Doctoral Candidate Zoe Eather (2024 – Ongoing) with Martin Tomitsch (Principal supervisor, TD School). Increasing community action through AI-enabled empathetic data storytelling.
  • Co-supervisor for MRes Candidate Callum Pastuszak (2024-Ongoing) with Suneel Jethani (Principal supervisor, FASS). How the dynamics of freedom and control online has shaped anonymity to empower and or disempower Gen-Z internet users.
  • Co-supervisor for MRes Candidate Xiaowen Chu (2025, forthcoming) with Simon Knight. Recursive Multi-Query Generation for Enhanced Text Mining of Australian Parliamentary Inquiry Submissions.
  • Mentor for 2024 Students as Partners Program, UTS. Yasaman Mohammadi, Shayaan Malik. AI Across Disciplines: Embedding Artificial Intelligence Literacy in UTS Education
  • Supervisor for Data Science Internship offered to Arjun Khanijau at UTS (2024). LLM analysis of qualitative data on educational interviews.
  • Supervisor for Data Science Internship offered to Master of Data Science and Innovation students at UTS (2023): Gerardo Bohorquez Restrepo, Vishal Raj. Project title: Reporting patterns of engagement with generative artificial intelligence in writing.
  • Supervisor for Study Abroad Program Research Internship offered to students from Vellore Institute of Technology Chennai, India (2022-2023): Srivarshan Selvaraj, Faerie Mattins. Project title: Developing applications of artificial intelligence in education.
  • Study Abroad Program Research Internship at VIT, India (2022-2023): Srivarshan Selvaraj, Faerie Mattins