For an encore of CogSci2018 and for those of you unable to attend CogSci2018, the organizers and some incredible keynote speakers have planned a free public event. ‘Minds, Machines & Society’ will be held on …
LUCID Speaks
CogSci 2018 – Why Changing Minds?
On the motivation for this year’s theme and its connection to current events. When we bid to organize CogSci three years ago the global erosion of faith in factual knowledge was already well under way. Scientific …
CogSci2018
CogSci2018 is almost here!
In less than two weeks, scientists from all over the world will be coming to Madison for the annual international Cognitive Science Conference, CogSci2018. Madison hosts events all the time so what makes this conference …
How Can Machine Learning Improve Educational Technologies?
by Blake Mason, John Vito Binzak, and Fangyun (Olivia) Zhao As computer-based technologies continue to establish a significant presence in modern education, it becomes increasingly important to understand how to improve the ways that these …
Interactive Science Communication
by Scott Sievert and Purav “Jay” Patel Scientific research is still communicated with static text and images despite innovations in learning theories and technology. We are envisioning a future in which interactive simulations and visualizations …
Singular Value Decomposition (SVD)
By Lowell Thompson and Ashley Hou This is a collaborative tutorial aimed at simplifying a common machine learning method known as singular value decomposition. Learn how these techniques impact computational neuroscience research as well! Singular …
What is a Computational Cognitive Model?
By Rui Meng and Ayon Sen A computational cognitive model explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying corresponding computation models. Sylvain Baillet discusses various aspects of …
Martina Rau on Learning with Visuals
Lucid Faculty, Educational Psychology Professor, Director of Learning, Representations, & Technology Lab as well as Computer Sciences Affiliate, Martina Rau is interested in educational technologies to support more effective learning with visuals. While we generally …
Poolmate: Pool-Based Machine Teaching
Poolmate provides a command-line interface to algorithms for searching teaching sets among a candidate pool. Poolmate is designed to work with any learner which can be communicated with through a file-based API. Developed by Ara …