George is the best speaker I've ever heard and influenced so much my thinking, research, & life. This talk is next level amazing. Not just for the outstanding thinking about #AI & #humantity . Also for the impressive storytelling, rhetoric, & energy. So much to learn from 👏👏👏

#CentresOfExcellence

DMers report that Expressions of Interest for #CE26 won’t open until “approx” July, with a 7-week application window.

Previous rounds & verbal advice to ROs led people to believe EOIs would open in April or May, but that won't happen.

Our new paper shows high achievers strategically choose electives! Curriculum analytics reveals links between course selection & academic performance. Implications for course sequencing & student support. #LearningAnalytics #highereducation Namrata Srivastava Sadia Nawaz Yi-Shan Tsai

‘Curriculum Analytics of Course Choices: Links with Academic Performance’ learning-analytics.info/index.php/JLA/… Namrata Srivastava Sadia Nawaz Yi-Shan Tsai Dragan Gasevic

Learning Analytics invites diverse and critical viewpoints, methodologies, and findings at the intersection of GenAI and learning analytics

Editors: Hassan Khosravi Simon Buckingham Shum Jelena Jovanovic Zach Pardos & Lixiang (Jimmie) Yan

Submission deadline: August 01, 2024

More details at tinyurl.com/GenAI-LA

Exciting news: Juuso Henrik Nieminen and I will host a research symposium on Empowering Feedback for Maximizing Students’ Productive Learning. We have assessment experts Phillip Dawson David Carless Zi Yan sharing their updated research and insights.
tinyurl.com/n73648k4

Check our new study that demonstrates the value of psychological network analysis to explain student engagement in online education by combining digital traces of online interaction and survey data about online activities #learninganalytics #edtech #MOOCs

In our new #JCAL paper bit.ly/3P8uXBG we note that combined use of conventional stats methods and psychological networks allow for a more thorough understanding of learners' course engagement. Dragan Gasevic, Lixiang (Jimmie) Yan, Graham Baker, Andrew Murray

In our new #JCAL paper bit.ly/3P8uXBG we show how psychological network analysis of learner self-reports allow for a more thorough understanding of learner profiles derived from trace data. Dragan Gasevic, Lixiang (Jimmie) Yan, Danijela Gasevic, Graham Baker, Andrew Murray

📢 Call for Papers: JLA's Special Section on #GenerativeAI and #LearningAnalytics Learning Analytics

Abstract submission (optional): July 15, 2024
Final paper submission: August 01, 2024

Details: learning-analytics.info/index.php/JLA/…

Editors: Hassan Khosravi Simon Buckingham Shum Jelena Jovanovic Zach Pardos…

Uncovering Engagement Profiles of Young Learners in K–8 Education through Learning Analytics learning-analytics.info/index.php/JLA/… Erkan Er

Register for the Next SoLAR Webinar, April 9 at 4 PM CEST: Title: Reframing thinking about and modeling learning through complex dynamical systems  Learning is a highly individual process of change that emerges from multiple interacting components (e.g.… dlvr.it/T51Q6j

MMALA: Developing and Evaluating a Maturity Model for Adopting Learning Analytics learning-analytics.info/index.php/JLA/… Dragan Gasevic Rafael Ferreira Mello

‘Applications of learning analytics in Latin America’ special section editorial of the Journal of Learning Analytics learning-analytics.info/index.php/JLA/… Isabel Hilliger Rafael Ferreira Mello

The workshop papers and presentation slides of the #GenAI for #LearningAnalytics workshop #LAK24 are now available on our website:

sites.google.com/monash.edu/gen…

Many thanks to all my co-organizers and our keynote speaker (Baker EDM Lab 배박사 연구소) for making this an insightful and memorable…

If this finding proves replicable the fallout will be wide, across many industries.

I had the privilege of presenting a keynote at #LA K24 last week on 'The Interplay of Learning, Analytics, and Artificial Intelligence in Education' Many colleagues asked if I can share the content, here is what I had to say: arxiv.org/pdf/2403.16081… #AIED #LA #Education #GenAI

GenAI meets SRL: always great to listen to Dragan Gasevic at #HKU

Co-authored my first LAK paper back in 2016 as a research assistant, and now attending my first face-to-face LAK Conference. Feeling grateful and blessed! 🥰

My heartfelt thanks go to Xiao Hu, Dragan Gasevic, Yizhou Fan, and LAK24 ☺️

Check out our #LAK24 paper: Analytics of scaffold compliance for self-regulated learning | Proceedings of the 14th Learning Analytics and Knowledge Conference dl.acm.org/doi/10.1145/36…

Many thanks to Yizhou Fan and Dragan Gasevic for an amazing collaboration.