Missed Information

Missed Information is a game that educates its players on what fake news is, and more importantly in teaching them the methods in which to spot when articles presented on social media are veritably false. The game would be a puzzle simulation game where the player takes on the role of a fact-checker hired by a social media company. The aim is for the player to come out of the experience knowing what fake news is and how to identify them, and to be able to apply this knowledge to their everyday life.

Want to try it out? Download our latest build of the game to play it for yourself. The game currently works on Microsoft Windows and Apple macOS.

Microsoft Windows: https://tinyurl.com/MisInfoDownloadWindows

Apple macOS: https://tinyurl.com/MisInfoDownloadMac

Password to play the game: information

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Home Safe Home: A Game About Disinfecting

Home Safe Home is a web browser game that aims to teach the importance and proper procedures of disinfecting during the Covid-19 Pandemic.

2020 was the year the world stood still due to Covid-19, thus changing how people lived their daily lives. With this change came the need to relearn how to properly sanitize oneself and surroundings. In this game, players take on the role of an individual who has to disinfect people, objects and surfaces in the house and will learn to use different disinfectants in an efficient and proper way. Aside from this, players will also learn about the general tips and safety guidelines set by WHO and CDC.

HOW TO PLAY

Because this game is a web browser game, you may find and play it at the following link: https://alfokemon.itch.io/agad.

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Peruggia

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.

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“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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