Research

• Antonette Shibani et al (2023). Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writing. In M. Feng, T. K¨aser, and P. Talukdar, editors, Proceedings of the 16th International Conference on Educational Data Mining, pages 183–193, Bengaluru, India, July 2023. International Educational Data Mining Society [PDF]
• Simon Knight, Antonette Shibani, Heather Ford & Simon Chambers (2023). Inverting {{Citation needed}}: critical design reflection of a citation learning game. Learning, Media and Technology, DOI: 10.1080/17439884.2023.2244412
• Simon Knight, Antonette Shibani & Simon Buckingham Shum (2023) A Reflective Design Case of Practical Micro-Ethics in Learning Analytics. British Journal of Educational Technology.
• Otto Kruse, Christian Rapp, Chris Anson, Kalliopi Benetos, Elena Cotos & Antonette Shibani (Forthcoming book). Digital Writing Technologies – Impact on Theory, Research, and Practice in Higher Education. Springer.
• Antonette Shibani (2023, Forthcoming). Analytics techniques for analysing writing. In Kruse, O., Rapp, C., Anson, C., Benetos, K., Cotos, E., & Shibani, A. (in press.). Digital Writing Technologies – Impact on Theory, Research, and Practice in Higher Education. Springer.
• Antonette Shibani, Rajalakshmi Ratnavel, Srivarshan Selvaraj, Faerie Mattins, Dhivya Chinnappa (2023, In press). Explainable models for feedback design: An argumentative writing example. In Proceedings of the 16th International Conference on Educational Data Mining, pages xx, India, July 2023. International Educational Data Mining Society.
• Christian Rapp, Otto Kruse, Chris Anson, Kalliopi Benetos, Elena Cotos, Ann Devitt & Antonette Shibani (2023) Forty years of digital writing: What has changed – where do we stand – what comes next? Roundtable at the Writing Research Across Borders conference (WRAB 2023).
• * Antonette Shibani, Simon Knight and Simon Buckingham Shum (2022). Questioning learning analytics? Cultivating critical engagement as student automated feedback literacy. [BEST RESEARCH PAPER NOMINEE] The 12th International Learning Analytics & Knowledge Conference (LAK ’22). [Author accepted version pdf]
• Andrew Gibson & Antonette Shibani (2022) Natural Language Processing – Writing Analytics. Chapter at the Handbook of Learning Analytics Version 2. [Download pdf]
• Antonette Shibani & Adrian Buck (2022) Designing effective work-integrated learning for data science students: Considerations and lessons learned. Pechakucha presentation in ASCILITE22: 39th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education.
• Antonette Shibani (2022). A transdisciplinary lens on the ethical use of artificial intelligence. The Fifteenth Workshop on the Social Implications of National Security (SINS22) at the International Symposium On Technology And Society 2022 (ISTAS22).
• Faerie Mattins, Srivarshan Selvaraj, Ratnavel Rajalakshmi & Antonette Shibani. Bharathi Raja Chakravarthi & Anand Kumar M (2022). Understanding the role of Emojis for emotion detection in Tamil. Workshop on Multimodal Machine Learning in Low-resource Languages at the 19th International Conference on Natural Language Processing (ICON22) [PDF].
• Rajalakshmi, Ratnavel, Ankita Duraphe, and Antonette Shibani (2022) “DLRG@ DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models.” In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. [PDF].
• Roberto Martinez-Maldonado, Vanessa Echeverria, Katerina Mangaroska, Antonette Shibani, Gloria Fernandez-Nieto, Jurgen Schulte & Simon Buckingham Shum (2021) Moodoo the Tracker: Spatial Classroom Analytics for Characterising Teachers’ Pedagogical Approaches. International Journal of Artificial Intelligence in Education (2021). https://doi.org/10.1007/s40593-021-00276-w
• Martinez-Maldonado, Roberto, Vanessa Echeverria, Katerina Mangaroska, Antonette Shibani, Gloria Fernandez-Nieto, Jurgen Schulte, and Simon Buckingham Shum (2021) The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence Sister Conferences Best Papers. Pages 4799-4803. https://doi.org/10.24963/ijcai.2021/654
• Antonette Shibani (2020) Constructing Automated Revision Graphs: A Novel Visualization Technique to Study Student Writing. In: I. Bittencourt, M. Cukurova, K. Muldner, R. Luckin, & E. Millán (Eds.), Artificial intelligence in Education – AIED 2020. LNCS: Vol. 12163 (pp. 285-290). Springer. doi: 10.1007/978-3-030-52240-7_52 [pdf][blog post] [ video recording]
• Simon Knight, Sophie Abel, Antonette Shibani, Yoong Kuan Goh, Rianne Conijn, Andrew Gibson, Sowmya Vajjala, Elena Cotos, Ágnes Sándor, Simon Buckingham Shum (2020). Are you being rhetorical? An open corpus of machine annotated rhetorical moves. Journal of Learning Analytics, 7(3), 138-154. [open access]
• *Roberto Martinez-Maldonado, Vanessa Echeverria, Jurgen Schulte, Antonette Shibani, Katerina Mangaroska, Simon Buckingham Shum (2020) Moodoo: Indoor Positioning Analytics for Characterising Classroom Teaching [BEST PAPER AWARD]. In: I. Bittencourt, M. Cukurova, K. Muldner, R. Luckin, & E. Millán (Eds.) Artificial intelligence in Education – AIED 2020. LNCS: Vol. 12163 (pp. 360-373). Springer. doi: 10.1007/978-3-030-52237-7_29. Related media articles: Technology Decisions, Architecture and Design, Education Matters, Education Today
• *Simon Knight, Antonette Shibani, Sophie Abel, Andrew Gibson, Philippa Ryan, Nicole Sutton, Raechel Wight, Cherie Lucas, Ágnes Sándor, Kirsty Kitto, Ming Liu, Radhika Vijay Mogarkar & Simon Buckingham Shum (2020). AcaWriter: A learning analytics tool for formative feedback on academic writing. Journal of Writing Research.
• Antonette Shibani, Simon Knight and Simon Buckingham Shum (2020). Educator Perspectives on Learning Analytics in Classroom Practice. The Internet and Higher Education. https://doi.org/10.1016/j.iheduc.2020.100730.
• Simon Knight, Andrew Gibson and Antonette Shibani (2020). Implementing Learning Analytics for Learning Impact: Taking Tools to Task. The Internet and Higher Education. https://doi.org/10.1016/j.iheduc.2020.100729.
• Wanli Xing, Hee-Sun Lee and Antonette Shibani (2020). Identifying patterns in students’ scientific argumentation: content analysis through text mining using Latent Dirichlet Allocation. Educational Technology Research and Development. https://doi.org/10.1007/s11423-020-09761-w.
• 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 (2019) Augmenting Pedagogic Writing practice with Contextualizable Learning Analytics. PhD thesis. Submitted to the Connected Intelligence Centre, University of Technology Sydney [Permalink]

• *Antonette Shibani, Simon Knight and Simon Buckingham Shum (2019). Contextualizable Learning Analytics Design: A Generic Model, and Writing Analytics Evaluations. Full paper presented at the Ninth International Conference on Learning Analytics & Knowledge(LAK ’19), Tempe, Arizona. [Related post]
• Simon Knight, Antonette Shibani and Simon Buckingham Shum (2018). Augmenting Formative Writing Assessment with Learning Analytics: A Design Abstraction Approach. Full Paper presented at the London Festival of Learning cross-over track (ICLS 2018).
• Antonette Shibani, Simon Knight and Simon Buckingham Shum (2018). Understanding Revisions in Student Writing through Revision Graphs. Poster presented at the 19th International Conference on Artificial Intelligence in Education (AIED’18). An extended report can be found below.
• Antonette Shibani, Simon Knight and Simon Buckingham Shum (2018). Understanding Students’ Revisions in Writing: From Word Counts to the Revision Graph . Technical Report CIC-TR-2018-01, Connected Intelligence Centre, University of Technology Sydney.
• Antonette Shibani (2018). Developing a Learning Analytics Intervention Design and tool for Writing Instruction. In Companion Proceedings of the Eighth International Conference on Learning Analytics & Knowledge (LAK ’18), Sydney, Australia
• Antonette Shibani (2018). AWA-Tutor: A Platform to Ground Automated Writing Feedback in Robust Learning Design (Demo). In Companion Proceedings of the Eighth International Conference on Learning Analytics & Knowledge (LAK ’18), Sydney, Australia.
• Antonette Shibani (2017). Combining automated and peer feedback for effective learning design in writing practices. In DSC Proceedings of the 25^th International Conference on Computers in Education, New Zealand
• *Antonette Shibani, Simon Knight, Simon Buckingham Shum and Philippa Ryan (2017). Design and Implementation of a Pedagogic Intervention Using Writing Analytics. In Proceedings of the 25^th International Conference on Computers in Education. New Zealand: Asia-Pacific Society for Computers in Education
• *Antonette Shibani, Elizabeth Koh, Vivian Lai and Kyong Jin Shim (2017). Assessing the language of chat for teamwork dialogue. Educational Technology & Society, 20(2), 224–237.
• Antonette Shibani, Elizabeth Koh, Vivian Lai and Kyong Jin Shim (2016, December). Analysis of teamwork dialogue: A data mining approach. In 2016 IEEE International Conference on Big Data (Big Data). IEEE. Washington D.C., USA, 4032-4034. DOI: 10.1109/BigData.2016.7841100
• Elizabeth Koh, Yi-Huan Tee, Antonette Shibani, Kian Leng Tay, Jennifer Pei-Ling Tan, Helen Hong, Munir Hussin and Hwee Leng Chan (2016). Designing a web tool to support teamwork awareness and reflection: Evaluation of two trial cycles. In Proceedings of 24th International Conference on Computers in Education (ICCE 2016), 1, 139-144. India.
• Elizabeth Koh, Antonette Shibani and Helen Hong (2016). Teamwork in the balance: Exploratory findings of teamwork competency patterns in effective learning teams. In Proceedings of the International Conference of the Learning Sciences (ICLS’16), Volume 2, 874-877. Singapore: International Society of the Learning Sciences.
• *Elizabeth Koh, Antonette Shibani, Jennifer Pei-Ling Tan, and Helen Hong (2016). A pedagogical framework for learning analytics in collaborative inquiry tasks: an example from a teamwork competency awareness program. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (LAK ’16). ACM, New York, NY, USA, 74-83. DOI: http://dx.doi.org/10.1145/2883851.2883914
• Antonette Shibani, Elizabeth Koh, and Helen Hong (2015) Text mining approach to automate teamwork assessment in group chats. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge (LAK ’15). ACM, New York, NY, USA, 434-435. DOI=http://dx.doi.org/10.1145/2723576.2723648
• Majid S, Balaji R, Shivalini MP, Shibani A (2017). Motivations for studying abroad and adjustment challenges faced by international students in Singapore. [PDF Permalink] Acad. J. Educ. Res. 5(8): 223-235.

*Recommended

• Andrew Gibson, Antonette Shibani (2022, Writing Analytics Concerns and Capabilities Roundtable at The Australian Learning Analytics Summer Institute (ALASI22)
• Antonette Shibani, Andrew Gibson (2022). Introduction to Writing Analytics. Invited tutorial at The Learning Analytics Summer Institute LASI22.
• Antonette Shibani, Andrew Gibson, Simon Knight, Philip H Winne, Diane Litman (2022). Writing Analytics for higher-order thinking skills. Workshop at The 12th International Learning Analytics & Knowledge Conference (LAK ’22).
• Yi-Shan Tsai, Melanie Peffer, Antonette Shibani, Isabel Hilliger, Bodong Chen, Yizhou Fan, Rogers Kaliisa, Nia Dowell and Simon Knight (2022). Writing for Publication: Engaging Your Audience. Workshop at The 12th International Learning Analytics & Knowledge Conference (LAK ’22).
• Simon Buckingham Shum  & Antonette Shibani (Sep 2020-Jan 2021) 24/7 Instant Feedback on Writing: integrating AcaWriter into your teaching. LX Lab monthly workshop for academics. University of Technology Sydney.
• Antonette Shibani, Ming Liu & Simon Buckingham Shum (2020, November). An Introduction to Writing Analytics and the Design of Automated Feedback. [Learning Analytics Learning Network event][video recording]
• Christian Rapp, Susan Lang, Antonette Shibani, Kalliopi Benetos & Chris Anson (2020, March). Bringing together writing tool design, writing analytics and writing pedagogy. Workshop at the Tenth International Conference on Learning Analytics & Knowledge LAK’20. [video recording]
• Simon Buckingham Shum and Antonette Shibani (2019, November). Learning Analytics Growing Pains – Sociotechnical Infrastructure Changes as LA Tools Mature. Workshop at the Australian Learning Analytics Summer Institute ALASI 2019, University of Wollonging, Australia.
• Faculty of Transdisciplinary Innovation (2019, September). Data is the new…”. Workshop organized at the Festival of Learning Design, University of Technology Sydney, Australia.
• Antonette Shibani, Ming Liu, Christian Rapp and Simon Knight (2019). Advances in Writing Analytics: Mapping the state of the field. Workshop chaired at the Ninth International Conference on Learning Analytics & Knowledge LAK’19, Tempe, Arizona. [PDF]
• Ming Liu, Simon Knight, Antonette Shibani and Sophie Abel (2018, November). From features to feedback: Designing automated feedback for student writing. Workshop chaired in the Australian Learning Analytics Summer Institute ALASI’18, Melbourne.
• Antonette Shibani, Sophie Abel, Andrew Gibson and Simon Knight (2018, March). Turning the TAP on Writing Analytics. Workshop chaired in the Eighth International Conference on Learning Analytics & Knowledge, Sydney. [PDF]
• Andrew Gibson, Antonette Shibani and Sophie Abel (2017, November). An Introduction to Text Analysis for Learning Analytics. Workshop chaired in the Australian Learning Analytics Summer Institute ALASI’17, Brisbane.
• Elizabeth Koh, Helen Hong, and Antonette Shibani (2015, June). Teamwork matters! A teamwork competency awareness workshop in the Redesigning Pedagogy International Conference 2015, Singapore

• 2023. Australia India Research Students Fellowship ($7600 AUD) – AIRS Fellowship for building deeper research collaboration between India and Australia. Project title: Understanding argumentative discourse and user behaviour in social media comments.
• Shibani Antonette. UTS ECR Sprint 2022 (UTS Internal Grant with industry partner) – Awarded $24,924. Project title: Towards increased adoption of modular school buildings for flexible learning needs of the future.
• UTS Cross-Faculty Collaboration Scheme 2022 (Awarded – Ongoing).2022 – University of Technology Sydney, Cross Faculty Collaboration Scheme, $49,900  Learning to navigate expert-expert disagreement: An interdisciplinary approach. Led by Simon Knight, with Amanda Wilson (Health); Shibani Antonette (TD School); Catriona Bonfiglioli (FASS); Jane Frawley (Health); Keith Heggart (FASS); Marian-Andrei Rizoiu (Data Science Institute); Nola Ries (Law).
• Shibani Antonette (Lead Investigator), Nicole Vincent, Simon Knight, Tony Huang, Bert Bongers: Ethics in Artificial Intelligence: Frameworks and Practical challenges – FTDi seed grant $5,000 (Awarded 2020)
•  2021 – University of Technology Sydney, TD School Research Seed Fund for the Technology and Humanity Research Theme, $5,000. Ethics by Design, led by Nicole Vincent, Simon Knight, Shibani Antonette.
• Simon Knight, Heather Ford, Shibani Antonette: CiteLearn – an academic tool for learning to cite sources (Awarded 2019)
• Higher Education Text Analytics (HETA) Project from Australian Technology Network: https://utscic.edu.au/cic_atn_project/
• 2018: Vice Chancellor’s Teaching and Learning Grant. Assessing the impact of automated writing feedback on student revisions in Civil Law.
• 2013-2016, Grants from the Ministry of Education Singapore, led by Dr. Elizabeth Koh:
  • Exploring Teamwork Beliefs and Competencies in Technology-enabled 21st Century Classrooms
  • Measuring and Nurturing Teamwork Competency through a Computer-supported Creative Collaborative Problem-Solving Program
  • Integrating My Groupwork Buddy into the classroom to enhance student team collaboration and teacher pedagogical practice.

• 2023 (May). Generative AI Writing 101. Invited speaker at the AI Ethics Consultation 2023 at UTS – Advancing education using state of the art AI.
• 2023 (Mar). Panel member for the Zoom into Guild Education Series – Importance of Students Engaging with ICT and ChatGPT (Video recording)
• 2023 (Mar). Women in Data Science talk by the Australian Data Science Network (Video recording)
• 2023 (Feb). Framing generative AI as EdTech. UTS LX lab talk (Slides, video recording)
• 2022 (Dec). Invited panel member for ‘Early Career AI & Learning Researchers’ at the Empowering Learners in AI conference.
• 2022 (Dec). Transdisciplinary Research Conversations. TD School, UTS (Slides).
• 2022 (Nov). ‘A transdisciplinary lens on the ethical use of artificial intelligence’. Invited speaker at the 15^th Workshop on the Social Implications of National Security (SINS22) co-located with the International Symposium on Technology and Society (ISTAS22) (Video recording) (Slides).
• 2022. Invited academic member for the deliberative democracy group discussing ‘Automated Essay Scoring in Australian Schools’, University of Sydney.
• 2021. Member of the Expert panel constituting: Ed Santow (Industry Professor in Responsible Technology, & AUS Human Rights Commissioner 2016-21), David Lindsay (Professor of Law & Technology), Susan Gibson (Head, Data & Analytics), Jan McLean (Director, Institute of Interactive Media in Learning), Verity Firth (Director of the Centre for Social Justice & Inclusion), Heather Ford (Assoc. Professor, Digital and Social Media), Antonette Shibani (Lecturer in Data Science & LA/AIED Researcher), Nicole Vincent (Senior Lecturer, AI Ethics) for The UTS “EdTech Ethics” Deliberative Democracy Consultation.
• Antonette Shibani (2021). Invited Guest Lecture on ‘Writing Analytics’ at the ‘Learning Analytics and Digital Learning‘ course, University of South Australia.
• Antonette Shibani (2021). Invited guest at the ‘Why isn’t it working‘ podcast discussing the Master of Data Science and Innovation course (MDSI) teaching approaches, current trends and data ethics [Episode][Podcast Series] [Linkedin].
• Antonette Shibani (2021). Invited blog post on Balancing learning outcomes in partner projects: lessons from Innovation Labs. LX Lab, University of Technology Sydney.
• Antonette Shibani, Ming Liu & Simon Buckingham Shum (2020, November). Invited speaker for the LALN webinar series. An Introduction to Writing Analytics and the Design of Automated Feedback. [Learning Analytics Learning Network event][video recording]
• Antonette Shibani (2020, October). Invited Speaker and Panellist on ‘Human-centered and ethical design of artificial intelligence’ at the Design Innovation Webinar hosted by the National Institute of Fashion Technology, Bengaluru, India. [Event poster]
• Antonette Shibani (2019, October). Invited Delegate at “Advancing
  research in student feedback literacy”, International Symposium hosted by the Centre for Research in Assessment and Digital Learning (CRADLE), Deakin University, Melbourne, Australia.
• Antonette Shibani (2019, October). Invited Speaker at UTS TeachMeet “The Future Starts Now“, hosted by the School of International Studies and Education, University of Technology Sydney, Australia. [Video of Highlights]
• Antonette Shibani (2019, August). Invited Speaker at the panel on “AI Today for Our Tomorrow” at the Intel Artificial Intelligence Workshop, INTEL, Sydney, Australia.
• Antonette Shibani (2019, August). Meet the scientist discussion – Knowledge cafe. Science in the City 2019 at the Australian Museum, Sydney Science Festival.
• Antonette Shibani (2019, June). Augmenting pedagogic writing practice with contextualizable learning analytics. Public seminar for PhD Stage 3 assessment, Connected Intelligence Centre, University of Technology Sydney.
• Antonette Shibani (2019, June). The future of work and education – Invited talk at St.Jerome’s College Nagercoil, India.
• Antonette Shibani (2018, Nov). ‘What the machines and humans can do together for education’. Presented at the UTS: Faculty of Arts and Social Sciences FASS conference.
• Antonette Shibani (2018, Nov). Augmenting pedagogic writing support with contextualizable learning analytics. – Invited talk at the University of Sydney (Usyd) Centre for Research on Learning and Innovation CRLI, Australia [slides] [video].
• Antonette Shibani, Sophie Abel and Simon Knight (2018, Nov). Computerised writing support with AcaWriter – Examples from three learning contexts. Presented at the UTS Teaching and Learning Forum 2018.
• Antonette Shibani and Sophie Abel (2018, August). Automated feedback and Writing Analytics: Can it help student writing? – Invited talk at the University of New South Wales LA-EDS Research group, UNSW, Australia.
• Antonette Shibani (2018 Oct, 2019 Jan) Speaker on the expert panel discussing Data sources and analysis in the real world for the undergraduate subject ‘Arguments, Evidence and Intuition’, University of Technology Sydney, Australia.
• Sophie Abel and Antonette Shibani (2018, July). Using AcaWriter to help develop student writing. Presentation at the UTS Learning Futures Lab.

• 2023. News Feature – Interview to ABC: AI images of women from around the world have gone viral. Do they promote colourism and cultural beauty standards? https://www.abc.net.au/news/2023-08-30/artificial-intelligence-racial-bias-images-women-south-east-asia/102732046 
• 2023, May. Reference to work in the Australian Association for Research in Education (AARE) Blog Post.  ChatGPT: What do we know now? What must we learn next? By Prof. Simon Buckingham-Shum.
• 2023, Mar. Zoom into Guild Education Series – Panel on the Importance of Students Engaging with ICT and ChatGPT (Video recording). The Teachers Guild of NSW.
• 2023, Mar. Women in Data Science talk by the Australian Data Science Network (Video recording)
• 2023, Feb. Framing generative AI as EdTech. UTS LX lab talk (Slides, video recording)
• 2022, October. SoLAR Spotlight Podcast episode: Explainable Models for Learning Analytics – Podcast host
• 2022, May. SoLAR Spotlight Podcast episode: Learning Analytics in Schools – Podcast host
• 2022, February. Campus Morning Mail – Edtech reads of the week section on AcaWriter
• 2021 SoLAR Spotlight Podcast episode: Learning Analytics Practitioners and Practice – Host of the SoLAR Spotlight podcast
• 2021 January. Invited blog post on Balancing learning outcomes in partner projects: lessons from Innovation Labs. LX Lab, University of Technology Sydney.
• 2020, November. Invited blog post for Nexus: ‘AcaWriter: designing automated feedback on writing that teachers and students trust’ published by the Society for Learning Analytics Research.
• 2020, November. ‘Why isn’t it working‘ podcast guest speaker discussing the Master of Data Science and Innovation course (MDSI) teaching approaches, current trends and data ethics [Episode]
• 2020, August. Research on Indoor Positioning Analytics for Characterising Classroom Teaching (Best paper award winner) covered by multiple media outlets: Technology Decisions, Architecture and Design, Education Matters, Education Today
• Podcast episode: 21st Century Skills and Learning Analytics
  2020 SoLAR Spotlight podcast series
• Podcast episode: Privacy and Ethics in Learning Analytics
  2020 SoLAR Spotlight podcast series
• Podcast episode: Giving a voice to stakeholders in Learning Analytics design
  2019 SoLAR Spotlight podcast series
• Podcast episode: Learning Analytics – Past, Present, and Future
  2019 SoLAR Spotlight podcast series

More details in my CV…