Bernardo Pereira Nunes

About Me

Education is the most powerful weapon which you can use to change the world.

I am a Senior Lecturer in the School of Computing and Sub Dean (Education Programs) at the College of Engineering, Computing and Cybernetics at the Australian National University (ANU). My journey in academia is grounded in a passion for advancing computer science education and a dedication to impactful research aimed at transforming society into a better place. Over the years, I’ve had the privilege of working across diverse educational institutions, fostering learning and innovation within and beyond the classroom.

Dr Bernardo Pereira Nunes

My teaching approach in computer science centres on making complex, often abstract concepts engaging, accessible, and relevant. I achieve this by integrating project-based learning, student-centered techniques, and active methodologies such as game-based learning.

Two of my well-known teaching innovations are the CS Escape Room, which transforms learning through immersive problem-solving, and Stubents, an educational platform designed to highlight students’ skills.

I am honoured to be the recipient of the ANU Vice-Chancellor’s Teaching Award (2023), as well as the Remote Teaching Award (2020) from the College of Engineering, Computing, and Cybernetics, recognising my commitment to creating engaging, high-quality learning experiences and to co-creating knowledge in large classroom settings.

ANU CS Escape Room: Students in action

My research spans Web Science, Computer Science Education, and the Semantic Web, where I am particularly driven by understanding how these fields intersect to shape societal impacts. With over 120 publications in top-tier journals and conferences, my work explores data interlinking, educational technology, and the ethical implications of digital engagement. One of my most recognised contributions is the FireMe app, a project that attracted international media attention, including CNN, Fox News, Le Monde, and The New York Times, for its insights into digital behaviour and data privacy.

My dedication to research has been recognised through multiple awards, including the ANU HDR Supervisor of the Month (2023), and honours for student projects I’ve supervised.

FireMe App in the Media
Stubents - Video Platform

Beyond my research and teaching accolades, I am a Senior Fellow of the Higher Education Academy and have received various distinctions for my contributions to computer science education and research. I am also a program committee member for numerous renowned conferences and journals, and I have served the academic community in multiple leadership roles, helping to shape the future of our field.

My work not only aims to foster innovation within academia but also to inspire a new generation of learners and researchers who are equipped to tackle the evolving challenges of technology and society.

If you are seeking expertise in education, computer science, or are interested in speaking or panel engagements, please feel free to contact me to discuss potential opportunities.

Resume

Dr Bernardo Pereira Nunes
Dr Bernardo Pereira Nunes

Bernardo holds a PhD in Informatics from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), with a research period at Leibniz Universität Hannover (2014). He also earned a Master’s in Informatics (2009) and a Bachelor’s degree in Computer Engineering (2006) from PUC-Rio. Currently, he serves as Associate Dean (Student Experience) and Senior Lecturer at the Australian National University within the College of Systems and Society. He is a Collaborating Professor for the Postgraduate Program in Informatics at UNIRIO (since 2015) and an adjunct professor on leave from the Department of Informatics at PUC-Rio (2014–2019). Bernardo also sits on the International Advisory Board of the International Journal of Educational Technology in Higher Education, is Vice-Chair of Educational Activity for the IEEE Technical Committee on Learning Technology, and is an Associate Editor for the IEEE Transactions on Learning Technologies. He has held multiple research roles, including as a researcher at the L3S Research Center in Germany (2012, 2013, and 2017), research fellow at the Consiglio Nazionale delle Ricerche (CNR) in Italy (2015), research fellow at the Australian National University (2018), senior lecturer at the Centre for Digital Humanities Research at ANU (2019–2022), and visiting professor at the University of Pennsylvania (2024). Bernardo has received numerous national and international research awards and has authored over 120 publications, including conference papers, book chapters, and journal articles. He co-developed the FireMe app, which gained global attention, featuring in major media outlets such as The New York Times, Le Monde, The Washington Post, CNN, and FOX. Additionally, he reviews for prestigious conferences and journals, including IEEE Transactions on Learning Technologies, International Semantic Web Conference, ACM Hypertext Conference, International Conference on Information and Knowledge Management (CIKM), IEEE International Conference on Advanced Learning Technologies, and SIGCSE Technical Symposium on Computer Science Education.

2026 Wally Thompson Research Showcase

Speaker on “Assessing Quality Education Data in Latin America: A FAIR Perspective”, examining the availability and quality of educational data across Brazil, Colombia, and Peru, and evaluating its alignment with FAIR principles to support academic and learning analytics, with a focus on bridging macro- and micro-level data for informed, data-driven decision-making.
Mar 2026

2nd AI in Education Conference (ANZ)

Distinguished speaker on “Feedback in AI-Enhanced Software Development Education”, exploring the use of large language models (LLMs) to provide feedback, enhance student learning, and benchmark courses and programs.
AUG 2025

3rd Annual Virtual Institute for Alternative Assessment in Higher Education

Keynote speaker on "Reimagining Assessment for Large Enrolment Classes", presenting the talk "Scaling Success with Integrity: Innovative Assessments for Large Classrooms".
Nov 2024

Muse: On Ideas
(AI and Cybernetics)

Panel Discussion with Prof Katherine Daniell (ANU) and Dr Bernardo Pereira Nunes (ANU): "The Interplay of Education, Teaching, Cybernetics, and the Future of AI" Hosted by Dr Jennifer Rayner, at Muse Bookstore in Canberra, Australia.
Apr 2023

Quality Assurance in Online Learning Webinar Series

Keynote Speaker at the "Quality Assurance in Online Learning Webinar Series", presenting on "Teaching Methodologies, Technology Integration, and Skills Development", organised by the Colombian Ministry of National Education, the Australian Department of Education, and the Australian Embassy in Mexico.
Feb 2023

Our Digital Future Series
AIIA TV

Interview for the "Our Digital Future" series, covering key issues and the latest thinking and examples of success from across the technology & ICT industry. Organised by the Australian Information Industry Association (AIIA.tv) in partnership with ASN Media.
Sept 2023

EduTECH Congress and Expo

Invited talk at the EduTECH Congress and Expo in Melbourne: "Cracking the Code: Building an Escape Room to Enhance Learning Experiences" – A deep dive into designing escape rooms as an educational tool to boost student engagement and professional skills.
Aug 2023

Quality in Education in Latin America

Invited talk and panel discussion featuring Dr. Rosalia Arteaga, former President of Ecuador, and Emeritus Professor Bruce Chapman, architect of Australia’s first Higher Education Contribution Scheme, and Dr Bernardo Pereira Nunes, ANU, organised by the ANU Gender Institute, ANCLAS, and the Embassy of Ecuador in Canberra, Australia.
Feb 2023

EduTECH Congress and Expo

Invited talk at the EduTECH Congress and Expo in Melbourne: "Teaching, Technology, and Skills" – Discussing the role of technology in equipping teachers and students with vital skills for a rapidly evolving world.
Aug 2023

Advanced Learning and Teaching Workshop

Invited talk at the Advanced Learning and Teaching Workshop, School of Medicine, ANU: "The Escape Room Course && Cool Assignments".
Aug 2023

Research Talk at PUC-Rio

Invited talk at the Department of Informatics, PUC-Rio, Brazil: "Knowledge Required to Meaningfully Use ChatGPT in Programming Courses".
Aug 2023

Technology and Learning Integrity

Interview for the "Marty Education" channel, exploring critical issues and innovative approaches in education and technology. This episode delves into the impacts of technology and AI on learning and academic integrity.
May 2023

GLAM Games Workshop

Invited to talk at the GLAM Games Workshop, organised by the University of South Australia, on the development of educational escape rooms.
Sept 2023

Academic Integrity Awareness Day

Panel held during ANU Library’s Academic Integrity Awareness Day, exploring strategies to minimise academic misconduct and foster a culture of honesty and accountability in academic settings.
Aug 2022

Planetário do Rio

Panel on "The Role of Planetariums in Non-Formal Education", where I discussed the iPlanetário project, in which I led the development of a platform for animations, simulations, and short courses. Planetário do Rio receives 1 million visitors annually.
Mar 2015

Publications

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Sha, A., Nunes, B., & Haller, A. (2026). Selective Forgetting in Machine Learning and Beyond: A Survey. ACM Comput. Surv. https://doi.org/10.1145/3796542
Sha, A. S., Nunes, B. P., & Shen, J. (2026). Exploring the Role of Errors in Programming Learning. ACM Trans. Comput. Educ., 26(2). https://doi.org/10.1145/3778857
Tibau, M., Silva, R., Siqueira, S., & Nunes, B. (2026). Evaluating Knowledge Gain in Search Environments: An Exploratory Study of Learning Measurement. Anais Do XXII Simpósio Brasileiro de Sistemas de Informação, 478–496. https://doi.org/10.5753/sbsi.2026.248557
Soto Ruidias, R. R., Pereira Nunes, B., Manrique, R., & Siqueira, S. (2025). Assessing Data Landscapes for Quality Education in Latin America: A FAIRness Perspective on Brazil, Colombia, and Peru. Journal of Learning Analytics, 12(2), 175–195. https://doi.org/10.18608/jla.2025.8441
Salazar, I., Manrique, R., & Pereira Nunes, B. (2025). Machine Translation Strategies for Low-Resource Colombian Indigenous Languages. SN Computer Science, 6(6), 720. https://doi.org/10.1007/s42979-025-04255-z
Chen, Y., & Nunes, B. P. (2025). Competency-Based Model for CS Education in the Era of AI. 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), 393–395. https://doi.org/10.1109/ICALT64023.2025.00121
Mesiku, C. E., & Nunes, B. P. (2025). From Deficit to Asset: Integrating Funds of Knowledge into Knowledge Tracing. 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), 112–113. https://doi.org/10.1109/ICALT64023.2025.00037
Chen, Y., & Nunes, B. P. (2025). Quantifying Assessment Difficulty in GenAI-Enhanced Education: Integrating Reinterpreted RBT and SOLO Taxonomy. 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), 382–386. https://doi.org/10.1109/ICALT64023.2025.00118
Lei, J., Nunes, B., & Grant, K. (2025). Defining Map System for Collaborative Map Creation and Data Reuse. J. Comput. Cult. Herit. https://doi.org/10.1145/3744346
Yang, C., Pereira Nunes, B., & Rodríguez Méndez, S. (2025). LLM as Auto-Prompt Engineer: Automated NER Prompt Optimisation. Companion Proceedings of the ACM on Web Conference 2025, 2574–2578. https://doi.org/10.1145/3701716.3717818
Sha, A., Gu, Z., & Pereira Nunes, B. (2025). Is there a better way to forget? Modelling Memory Decay in Deep Knowledge Tracing. Knowledge-Based Systems, 114884. https://doi.org/10.1016/j.knosys.2025.114884
Gu, Z., Sha, A., Nunes, B., & Sanguino, J. (2025). Effectiveness of Forgetting and Question Difficulty in Deep Knowledge Tracing. In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Artificial Intelligence in Education (Vol. 15877, pp. 120–134). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-98414-3_9
Nunes, B. P. (2024, October 30). Authentic assessment in higher education. THE Campus Learn, Share, Connect. https://www.timeshighereducation.com/campus/three-innovative-authentic-assessments-encourage-soft-skill-mastery
Sha, A. S., Nunes, B. P., & Shen, J. (2024). Investigating the Role of Errors in Programming Learning. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 797–797. https://doi.org/10.1145/3649405.3659488
Pereira Nunes, B., Kaur, G., Chan, A., Sharpe, S., & Soto Ruidias, R. R. (2024). Exploring Educational Escape Room as an Assessment Tool for Computer Science Courses. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 803–803. https://doi.org/10.1145/3649405.3659494
Chen, Y., & Pereira Nunes, B. (2024). Stubents: Videos Created by and for Students, Active Learning Resources in Large and Diverse Computer Science Classrooms. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 653–659. https://doi.org/10.1145/3649217.3653569
Sharpe, S., Kaur, G., Chan, A., & Nunes, B. P. (2024). A model for good practice: Guidelines for inclusive educational escape rooms. https://dro.deakin.edu.au/articles/conference_contribution/A_model_for_good_practice_Guidelines_for_inclusive_educational_escape_rooms/28942406
Yang, C., Pereira Nunes, B., Rodríguez Méndez, S., Chen, Y., Manrique, R., & Casanova, M. A. (2024). Towards Comprehensive Artwork Representation: Motivations and Challenges in Capturing Multi-Dimensional Art Descriptions. Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, JCDL ’24. https://doi.org/10.1145/3677389.3702517
Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2024). ChatGPT for chatting and searching: Repurposing search behavior. Library & Information Science Research, 46(4), 101331. https://doi.org/10.1016/j.lisr.2024.101331
Tian, X., Nunes, B. P., Liu, Y., & Manrique, R. (2024). Predicting Student Engagement Using Sequential Ensemble Model. IEEE Transactions on Learning Technologies, 17, 939–950. https://doi.org/10.1109/TLT.2023.3342860
Kaur, G., Chan, A., Pereira Nunes, B., & Sharpe, S. (2024). Creating an Educational Escape Room: Evidence-informed guidelines. figshare. https://doi.org/10.6084/M9.FIGSHARE.26211896.V2
Abdelrahman, G., Wang, Q., & Nunes, B. (2023). Knowledge Tracing: A Survey. ACM Computing Surveys, 55(11), 1–37. https://doi.org/10.1145/3569576
Tian, X., Nunes, B. P., Grant, K., & Casanova, M. A. (2023). Mitigating Bias in GLAM Search Engines: A Simple Rating-Based Approach and Reflection. Proceedings of the 34th ACM Conference on Hypertext and Social Media, 1–5. https://doi.org/10.1145/3603163.3609043
Tamayo Flórez, P. A., Manrique, R., & Pereira Nunes, B. (2023). HABLA: A Dataset of Latin American Spanish Accents for Voice Anti-spoofing. Proceedings of the INTERSPEECH 2023, 1963–1967. https://doi.org/10.21437/Interspeech.2023-2272
Nunes, B. P. (2023, August). Knowledge and Expertise of Academics, ORBICOM/UNESCO. Network of UNESCO Chairs in Communication. https://orbicom.ca/wp-content/uploads/2023/05/KE_20230515.pdf
Sha, A. S., Nunes, B. P., & Haller, A. (2023). Link Topics from Q&A Platforms using Wikidata: A Tool for Cross-platform Hierarchical Classification. Proceedings of the 15th ACM Web Science Conference 2023, 357–362. https://doi.org/10.1145/3578503.3583625
Munoz, A., Wilson, A., Nunes, B. P., Medico, C. D., Slade, C., Bennett, D., Tyler, D., Seymour, E., Hepplewhite, G., Randell-Moon, H., Janine, A., McPherson, J., Game, J., Rhall, J., Myers, K., Absolum, K., Edmond, K., Nicholls, K., Adam, L., … Duke, Z. (2023). AAIN Generative Artificial Intelligence (AI) Guidelines. Australian Academic Integrity Network, 1–6. https://doi.org/10.26187/sbwr-kq49
Yang, C., Xu, X., Nunes, B. P., & Siqueira, S. W. M. (2023). Bubbles bursting: Investigating and measuring the personalisation of social media searches. Telematics and Informatics, 82, 101999. https://doi.org/10.1016/j.tele.2023.101999
Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2023). Accounting for the knowledge gained during a web search: An empirical study on learning transfer indicators. Library & Information Science Research, 45(1), 101222. https://doi.org/10.1016/j.lisr.2022.101222
Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2022). The Impact of Non-Verbalization in Think-Aloud: Understanding Knowledge Gain Indicators Considering Think-Aloud Web Searches. Proceedings of the 33rd ACM Conference on Hypertext and Social Media, 107–120. https://doi.org/10.1145/3511095.3531272
Hassad De Andrade, L., Moreira Antunes, J. J., Araújo De Medeiros, A. M., Wanke, P., & Nunes, B. P. (2022). The impact of social welfare and COVID-19 stringency on the perceived utility of food apps: A hybrid MCDM approach. Socio-Economic Planning Sciences, 82, 101299. https://doi.org/10.1016/j.seps.2022.101299
Tibau, M., Wolfgand Matsui Siqueira, S., & Pereira Nunes, B. (2022). Mapping Knowledge Flows in ExploratoryWeb Searches. Proceedings of the 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2022.669
Cheng, Y., Pereira Nunes, B., & Manrique, R. (2022). Not Another Hardcoded Solution to the Student Dropout Prediction Problem: A Novel Approach Using Genetic Algorithms for Feature Selection. In S. Crossley & E. Popescu (Eds.), Proceedings of the 18th International Conference on Intelligent Tutoring Systems (Vol. 13284, pp. 238–251). Springer International Publishing. https://doi.org/10.1007/978-3-031-09680-8_23
Silva, C. K. P., Siqueira, S. W. M., & Nunes, B. P. (2021). Complexity of digital resources: an analysis based on their conceptual networks. Anais Estendidos Do X Congresso Brasileiro de Informática Na Educação (CBIE 2021), 51–60. https://doi.org/10.5753/wcbie.2021.219033
Yang, C., Nunes, B. P., Santos, J. C. D., Siqueira, S. W. M., & Xu, X. (2021). The BiasChecker: how biased are social media searches? Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 305–308. https://doi.org/10.1145/3487351.3489482
Xu, X., Manrique, R., & Pereira Nunes, B. (2021). RIP Emojis and Words to Contextualize Mourning on Twitter. Proceedings of the 32st ACM Conference on Hypertext and Social Media, 257–263. https://doi.org/10.1145/3465336.3475100
Loutfi, M., Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2021). CovidTrends: Identifying Behaviors during the COVID-19 Pandemic: An Analysis based on Google Trends and News. XVII Brazilian Symposium on Information Systems, 1–8. https://doi.org/10.1145/3466933.3466938
Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2021). Think-Aloud Exploratory Search: Understanding Search Behaviors and Knowledge Flows. In A. Visvizi, M. D. Lytras, & N. R. Aljohani (Eds.), Disruptive Technologies in Times of Change (pp. 303–315). Springer International Publishing. https://doi.org/10.1007/978-3-030-62066-0_23
Procaci, T. B., Siqueira, S. W. M., & Nunes, B. P. (2021). Aprender ao longo da vida através de ambientes pessoais de aprendizagem. In M. P. F. F. S. E. Santos. (Org.) (Ed.), Informática na Educação: ambientes de aprendizagem, objetos de aprendizagem e empreendedorismo (Vol. 1, pp. 1–29). SBC.
Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2020). Understanding Web Search Patterns Through Exploratory Search as a Knowledge-intensive Proces. Anais Estendidos Do XVI Simpósio Brasileiro de Sistemas de Informação (Anais Estendidos Do SBSI 2020), 92–92. https://doi.org/10.5753/sbsi.2020.13131
Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2020). Semantic Data Structures for Knowledge Generation in Open World Information System. XVI Brazilian Symposium on Information Systems, 1–7. https://doi.org/10.1145/3411564.3411611
C. Dos Santos, J., W. M. Siqueira, S., Pereira Nunes, B., P. Balestrassi, P., & R. S. Pereira, F. (2020). Is There Personalization in Twitter Search? A Study on polarized opinions about the Brazilian Welfare Reform. Proceedings of the 12th ACM Conference on Web Science, 267–276. https://doi.org/10.1145/3394231.3397917
Finamore, A. C., Jiménez, H. G., Casanova, M. A., Nunes, B. P., Santos, A. M., & Pires, A. P. (2020). A comparative analysis of two computer science degree offerings. Journal of the Brazilian Computer Society, 26(1), 3. https://doi.org/10.1186/s13173-020-00097-0
Pereira, C. K., Nunes, B. P., Siqueira, S. W. M., Manrique, R., & Medeiros, J. F. (2020). ‘A Little Knowledge is a Dangerous Thing’: A method to automatically detect knowledge compartmentalization and oversimplification. Proceedings of the 20th International Conference on Advanced Learning Technologies (ICALT), 140–144. https://doi.org/10.1109/ICALT49669.2020.00048
Teixeira, C. P., Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2020). Reordering Search Results to Support Learning. In E. Popescu, T. Hao, T.-C. Hsu, H. Xie, M. Temperini, & W. Chen (Eds.), Proceedings of the 4th International Symposium (Vol. 11984, pp. 361–369). Springer International Publishing. https://doi.org/10.1007/978-3-030-38778-5_39
Gadiraju, U., & Nunes, B. P. (2020). Coleta de dados através de Crowdsourcing em Pesquisas em Informática na Educação. In M. Jaques P. A. ;. Siqueira, S. W. M. ;. Bittencourt, I. I. ;. Pimentel (Ed.), Metodologia de Pesquisa Científica em Informática na Educação: Abordagem Quantitativa (Vol. 2, pp. 1–23). SBC.
Tibau, M., Siqueira, S., & Nunes, B. P. (2019). A comparison between Entity-Centric Knowledge Base and Knowledge Graph to Represent Semantic Relationships for Searching as Learning Situations. Anais Dos Workshops Do VIII Congresso Brasileiro de Informática Na Educação (CBIE 2019), 823. https://doi.org/10.5753/cbie.wcbie.2019.823
Souza, J. F. D., Siqueira, S. W. M., & Nunes, B. (2019). A framework to aggregate multiple ontology matchers. International Journal of Web Information Systems, 16(2), 151–169. https://doi.org/10.1108/IJWIS-05-2019-0023
Procaci, T. B., Siqueira, S., Pereira Nunes, B., & Gadiraju, U. (2019). How Do Outstanding Users Differ From Other Users in Q&A Communities? Proceedings of the 30th ACM Conference on Hypertext and Social Media, 281–282. https://doi.org/10.1145/3342220.3344928
Manrique, R., Nunes, B. P., Marino, O., Casanova, M. A., & Nurmikko-Fuller, T. (2019). An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout. Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 401–410. https://doi.org/10.1145/3303772.3303800

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