In this paper, we introduce Integrity Games (https://integgame.eu/) – a freely available, gamified online teaching tool on academic integrity. In addition, we present results from a randomized controlled experiment measuring the learning outcomes from playing Integrity Games.
Designing Games to Learn
As I've been writing this series of newsletters on learning and video games, there's been a spectre lurking in the background. Video games and education. Edutainment.
AI Quests
AI Quests: A game-based learning experience for middle schoolers (11-14) on AI. Code-free quests use real Google projects to solve societal issues.
When the Scoreboard Becomes the Game, It’s Time to Recalibrate Research Metrics - The Scholarly Kitchen
Today's guest post discusses research metrics and their relationship to research integrity, inclusivity, and long-term impact.
the Enshittification of Cozy Games
Methodologies for Improving the Quality of AI Tutoring in K-12 Education
Many AI tutors leverage large language models (LLMs) today. Given that LLMs are opaque black boxes, robust evaluation and live experimentation to measure the impact of every change are essential. We pioneered AI-powered tutoring for K-12 with the launch of Khanmigo (Khan Academy 2023). We describe the metrics we use to measure AI tutoring quality and student engagement as well as various experiments we have run. We highlight the changes that have moved our metrics, including models, prompting, personalization and agents.
Math Academy Wants To Supercharge Your Learning
A review of the online learning program
Specification gaming: the flip side of AI ingenuity
Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the intended outcome. We have all had experiences with specification gaming, even if not by this name. Readers may have heard the myth of King Midas and the golden touch, in which the king asks that anything he touches be turned to gold - but soon finds that even food and drink turn to metal in his hands. In the real world, when rewarded for doing well on a homework assignment, a student might copy another student to get the right answers, rather than learning the material - and thus exploit a loophole in the task specification.
The case for friction in AI-mediated information seeking and learning
Introduction. This paper challenges the assumption that frictionless AI-mediated information seeking represents progress. We argue that AI systems eliminating productive friction, such as uncertainty, exploration, and reflective processes, undermine intellectual virtues essential for critical thinking in an AI-saturated information environment. Method. This conceptual article employs a theory synthesis approach, drawing on library information science (LIS) theories of information behaviour, experience, and literacy, virtue epistemology, and human–computer interaction (HCI) friction design literature. Analysis. We map intellectual virtues such as curiosity, thoroughness, and intellectual humility onto the Association of College and Research Libraries (ACRL) Framework for Information Literacy for Higher Education, building on and extending previous analyses. We connect dimensions of virtuous search to AI system design principles and align friction types with specific intellectual virtues. Results. We propose three design principles for human-centred AI systems (representation, affordance, and facilitation) and develop a typology that maps friction interventions to intellectual virtues, providing concrete examples for each. Conclusion. Productive friction should be understood as a feature supporting intellectual development, not a barrier to efficiency. The design choices made today will determine whether AI serves as intellectual scaffolding or cognitive crutch.
University students feel ‘anxious, confused and distrustful’ about AI in the classroom and among their peers
Whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom.
University students feel ‘anxious, confused and distrustful’ about AI in the classroom and among their peers
Whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom.
mudcoders/awesome-mud
🖥 A curated list of bookmarks, tools, tutorials, and other cool resources for text-based game developers.
Curriculum | AI Safety — ARENA
Explore the ARENA curriculum for AI safety education, covering fundamentals, transformers, reinforcement learning, and evaluations, with resources for educators and learners.
A new direction for students in an AI world: Prosper, prepare, protect | Brookings
This report explores the potential risks generative AI poses to students and outlines what we can do now to minimize them.
gamesgamesgamesgamesgames/cartridge
A platform for managing video games on ATProto, enabling data sovereignty for both players and developers.