Prof @MonashUni, learning analyst, member of @SoLAResearch, learning technologist, social computer scientist, ed psych enthusiast, data scientist
Melbourne, Victoria
Joined August 2009
- Tweets6.1K
- Following654
- Followers4.3K
- Likes12.6K
Pinned Tweet
Thrilled to share our latest research 🚨, "Promises and Challenges of Generative Artificial Intelligence for Human Learning," published in @NatureHumBehav! 🌍✨ #AI #GenAI #HumanLearning. See the details below including the link to the paper. 1/9
Dragan Gasevic retweeted
Dataset of GenAI-Assisted Information Problem Solving in Education #machinelearning #compchem nature.com/articles/s41597-0…
Dragan Gasevic retweeted
Reminder - Closing date 22 October "On-Demand Learning in a Changing World: Philosophical, Technological, and Practical Perspectives on Workforce and Vocational Education" #Springer #openaccess - iasle.net/call-for-chapters/
Dragan Gasevic retweeted
Looking for a PostDoc, a PhD, and 3-6mth interns as part of my ERC project.
Homepage: mboehme.github.io/
Böhme Lab: mpi-softsec.github.io/
Reach out if you find this interesting. 👇
Dragan Gasevic retweeted
Are we offloading critical thinking to #AI chatbots?
An interesting Undark article on how tools like #ChatGPT impact knowledge workers - with insight into 'learning' vs 'performance' from education and learning analytics expert Professor Dragan Gasevic: undark.org/2025/09/12/critic…
Dragan Gasevic retweeted
Excited to share our latest publication — introducing GLAT: The Generative AI Literacy Assessment Test! The first validated, performance-based instrument designed to assess skills in interacting with generative AI in education.
Read here: doi.org/10.1016/j.caeai.2025…
Dragan Gasevic retweeted
Together with my C&I colleagues Dr. Shen Ba, Prof. Zi Yan, Prof. Chee Kit Looi, and Prof. Dragan Gašević (Monash U), we published a systematic review on AI-assisted feedback in education, synthesising 129 peer-reviewed studies (2014–2023).
Read here: doi.org/10.1016/j.caeo.2025.…
Dragan Gasevic retweeted
Congratulations and best of luck to our Women of Colour in STEM Award finalists:
🌟 Dr Yi-Shan Tsai: Technology Trailblazer Award
🌟 Dr Qiuhong Ke: Data Science/AI Pioneer Award
🌟 Ruchi Sembey: PhD Scholar Award
🌟 Himashi Peiris: PhD Scholar Award
wocinstemawards.org/index.ph…
Dragan Gasevic retweeted
Our upcoming (open, free, online) conference on AI in Learning is taking shape. Outstanding keynotes including @markmilliron @SNHUPresident @HamelHusain @dgasevic empoweringlearners.ai/keynot… #AIED #learninganalytics
Dragan Gasevic retweeted
I start to believe that there is some subtle difference between compression (common for all intelligence) and abstraction (unique for artificial intelligence of human). They are definitely related, but different in a fundamental way. This shall be our next major quest for AI.
Dragan Gasevic retweeted
Is Chain-of-Thought Reasoning of LLMs a Mirage?
... Our results reveal that CoT reasoning is a brittle mirage that vanishes when it is pushed beyond training distributions. This work offers a deeper understanding of why and when CoT reasoning fails, emphasizing the ongoing challenge of achieving genuine and generalizable reasoning.
... Our findings reveal that CoT reasoning works effectively when applied to in-distribution or near
in-distribution data but becomes fragile and prone to failure even under moderate distribution shifts.
In some cases, LLMs generate fluent yet logically inconsistent reasoning steps. The results suggest that what appears to be structured reasoning can be a mirage, emerging from memorized or interpolated patterns in the training data rather than logical inference.
... Together, these findings suggest that LLMs are not principled reasoners but rather sophisticated simulators of reasoning-like text.
Dragan Gasevic retweeted
Our leading #learninganalytics specialist Professor Dragan Gasevic was covered by @hariankompas lending his expertise on how students can be taught to use #genAI responsibly - timely with its prevalence in education today.
Read now: kompas.id/artikel/en-pelajar…
@CoLAM_Monash
Dragan Gasevic retweeted
📢 Excited to share our latest research published in "Computers & Education" on leveraging Generative AI to enhance comprehension of Visual Learning Analytics (VLA)! 📊🤖
👉 Read our article here: doi.org/10.1016/j.compedu.20…
Visual analytics are vital in education, but can be challenging for learners due to limited visualisation literacy. To tackle this, we conducted a rigorous randomised controlled trial (RCT) with 117 university students, testing the effectiveness of proactive and passive Generative AI agents integrated with scaffolding techniques.
Key insights:
✅ Proactive Generative AI agents (GenAI + Scaffolding) significantly improved students' VLA comprehension compared to passive agents and standalone scaffolding.
✅ The positive effects were sustained over time, demonstrating genuine and lasting learning gains.
✅ Demonstrates the potential of Generative AI to offer personalised, scalable, and sustainable learning support for complex visual data interpretation.
Thrilled by these findings and excited about the future possibilities of AI-enhanced educational support! Big thanks and congratulations to my co-authors, Dragan Gasevic, Roberto Martinez-Maldonado, Vanessa Echeverria, Linxuan Zhao, Ariel Jin, Xinyu Li, Mikaela Milesi, Riordan Alfredo, and Jay Fan, for this collaborative effort!
#LearningAnalytics #GenerativeAI #AIinEducation #EdTech #VisualAnalytics #HigherEducation #ResearchPublication #EducationInnovation
Dragan Gasevic retweeted
There are less than 2 weeks left to take advantage of early bird rates for #las26ed, co-located with EDM 2025 and AIED 2025.
And remember, this year, one ticket gets you into both L@S and @EDMConf2025!
servizitalia.it/registration…
Dragan Gasevic retweeted
Thrilled that our paper
Practical and ethical challenges of large language models in education: A systematic scoping review
(#BJET) won the Wiley Top Cited Article Award!
Read it here: doi.org/10.1111/bjet.13370
Congrats & thanks to my amazing collaborators: @LeleSha333, Linxuan Zhao, Yuheng Li, @RobertoResearch, @AngusGLChen, Xinyu Li, Ariel Jin, & @dgasevic.
#AIED #GenAI #EthicalAI @CoLAM_Monash @wileyinresearch
Dragan Gasevic retweeted
We have 2 PhD fully funded PhD positions open:
in Human-Centered AI for Learning (kth.se/lediga-jobb/790033?l=…) a
and Social Robotics
kth.se/lediga-jobb/789466?l=…
Dragan Gasevic retweeted
Check out our new #CELLAResearch open access publication in which we measured secondary education students’ self-regulated learning processes during a writing task. 1/5 🧵👇
doi.org/10.1016/j.lindif.202…
