Ateneo Laboratory for the Learning Sciences

Locked Down is a 3D stealth game that attempts to solve the issue of poverty by increasing one’s empathy towards the poor through perspective-taking. This increase in empathy will help others create solutions that can truly help the underprivileged, as it allows them to better understand what the they need.

The Narrative

Set during a pandemic, the government attempts to prevent the virus from spreading any further by placing the city under quarantine. MC, Michael Crisostomo, lives on the streets, so he is unable to “stay indoors.” To avoid getting caught by quarantine enforcers that patrol at night, he must navigate his way through the city and make it to the safe zone. Certain items must also be collected, depending on the day’s events.

How to Play

Want to try out our game? Use this link to download the .zip file that has the latest build of our game! When you download it, make sure to click Locked Down.exe to play the game. Warning! The file size is roughly 500mb.

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

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.

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/