“What-If Hypothetical Implementations in Minecraft” (WHIMC)

The Ateneo Laboratory for the Learning Sciences (ALLS) is currently collaborating with the University of Illinois Urbana-Champaign (UIUC) in its use of Minecraft to cultivate interest in Science, Technology, Engineering, and Mathematics.

ALLS leverages on the UIUC project “What-If Hypothetical Implementations in Minecraft” (WHIMC) in which learners are immersed in alternate versions of Earth and exoplanets. As learners move around in these worlds, they are challenged to offer scientific explanations for the phenomena that they observe and to build habitats that would allow human beings to survive, using the materials available in these planets.

The ALLS team is working with educators from three basic education schools in the Philippines to prepare lesson plans to integrate WHIMC in classroom instruction. The broad goal of this project is to develop STEM interest in more young Filipinos.

To access the server, launch Minecraft Java Edition (version 1.16.5).

Add the WHIMC server by entering the subdomain or IP address noted below:

Subdomain: apx659687.apexmc.co

IP Address: 139.99.23.136:25565

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Bayesian Knowledge Tracing with Python for Researchers and Practitioners

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/

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ALLS Youtube Channel!

Say hello to the ALLS YouTube channel! We’ll be posting software recommendations, research summaries, and more! We hope to see you there!

Many thanks to Dr. Jen Agapito and Mr. Neithan Casano for their production work! Thank you as well to our talented cast (ahem) of faculty and researchers who lent their voices and expertise to this undertaking!

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Computer-Based Learning in Context

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.

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High-Leverage Opportunities for Learning Engineering

Ryan Baker and Ulrich Boser released a report on High-Leverage Opportunities for Learning Engineering. In it, they discuss “the potential of learning engineering to bring theory and practice of learning forward, including both key areas where learning engineering can bring benefits, and key steps towards making those benefits a reality.”

If you are interested in learning engineering and are looking for ideas for a thesis or indeed an entire research practice, this is a great starting point.

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