Ateneo Laboratory for the Learning Sciences

Peruggia is a first-person strategy game designed to study the movement patterns of museum-goers.

A museum visitor encounters a lot of factors when going around the spaces, such the narratives by the curator, physical layout of the spaces, and groupthink based on other visitors. These factors all come into play in navigating the space whether the person is aware of it or not. With these in mind, the game creates a setting where you are a detective trying to bust a criminal syndicate planning a heist in the museum. However, you are required to piece together clues about the exhibit and observe the movement patterns of the NPCs in order to correctly identify the thief.

The game is currently available in Windows systems only. To download the game, head on over to http://bit.ly/PeruggiaWindows.

On October 5, 4pm US PT, please join the Learning Analytics Learning Network and Zachary Pardos, Frederic Wang, and Anirudhan Badrinath from the University of California, Berkeley for the workshop Bayesian Knowledge Tracing (BKT) with Python for Researchers and Practitioners.

Attendees will learn about the first BKT library for Python (gaining familiarity with the fundamentals of BKT and model variants), to train a BKT model on common student response datasets, and to customize pyBKT models to test hypotheses about learning. The session will include a tutorial and hands-on break-out group activities.

More information is available at https://learninganalytics.net/laln/upcoming-events/ and registration is available at https://www.eventbrite.com/e/laln-bayesian-knowledge-tracing-with-python-for-researcherspractitioners-tickets-169188719013

We also have two upcoming events, Learning Analytics Workshop at DELFI 2021 (September 13) and the rescheduled event Digging Deeper in the Ethical Use of Learning Analytics (September 22). More information at https://learninganalytics.net/laln/upcoming-events/

The third volume of Computer-Based Learning in Context is now available!

If you are doing work that investigates how learners’ contexts impact their interactions, as well as around computer-based learning, and how those differences in interaction impact learning, long-term learner outcomes, and educational effectiveness, please consider submitting to us!

Please access the articles for free through this link.