20251023 Erik Harpstead Learning curve analysis OGD Office Hour

Welcome to Open Game Day office hours! In this session, recorded on 23 October 2025, Erik Harpstead of Carnegie Mellon University, joins us to provide a tutorial on learning curve analysis to compare hypothesized models of skill against actual player data. He explains how LCA can be used to evaluate both difficulty and overall pace of learning, and also to highlight mismatches in assumptions about skill. The Open Game Data Community is an NSF-funded research incubator focused on advancing the use of game-generated data to better understand learning, thinking, engagement, and decision-making. Open Office Hours sessions provide a public space where researchers, developers, and educators share works in progress, discuss emerging ideas, and receive feedback from the community. These sessions are designed to showcase research and make expert reasoning and inquiry visible to others in the field. Open Game Day Open Office Hours are hosted by Erik Harpstead of Carnegie Mellon University, Magy Seif El-Nasr of UC Santa Cruz, and Dave Gagnon of University of Wisconsin. For more about Open Game Data, see opengamedata.io