Joseph Griffin 0001

dblp:233/8955-1 · also Joe Griffin 0001 · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0002-4343-1041ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 3 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1
YearPublicationVenuePosition
2025 From In-Game Behaviors to Learning Gains: Constructing Bayesian Networks for Stealth Assessment
abstract
This study examines the use of Bayesian Networks (BNs) for Stealth Assessment (SA) in digital game‐based learning (DGBL) environments. By integrating in‐game behavior tracking with embedded assessment scores, we investigate how interactive gameplay fosters learning gains. Data were collected from 632 middle school students participating in Mission HydroSci (MHS), a first-person 3D narrative adventure designed to teach water science and scientific argumentation. Using Static Bayesian Networks (SBNs), we modeled probabilistic dependencies among various in‐game behaviors, including evidence‐based argumentation, tool usage, dialogue engagement, and spatial exploration, and corresponding learning outcomes measured via pre‐ and post-assessments. Our analysis reveals distinct behavioral profiles strongly linked to positive learning gains. In particular, behavior patterns, including repeated engagement in argumentation tasks, strategic tool usage, and goal-oriented spatial exploration, emerge as key predictors of enhanced performance. Insights from the BN analysis inform the design of more effective DGBL environments and highlight the potential for real-time, adaptive assessment mechanisms that maintain gameplay immersion. Overall, this research offers a data-driven framework for understanding and optimizing learning trajectories in DGBL, providing practical guidelines for educators and game designers to enhance digital learning interventions.
Wenyi Lu, Joseph Griffin 0001, James M. Laffey, Troy D. Sadler, Sean P. Goggins
Proc. ACM Hum. Comput. Interact.2
2024 Lessons upon Dislikes: Educational Game Design Principles from Players' Negative Feedback
Wenyi Lu, Hao He 0009, James M. Laffey, Alex C. Urban, Joseph Griffin 0001, Troy D. Sadler, Sean P. Goggins
iLRN (1)6
2022 Doctoral Colloquium - Confronting Death: Lived Experiences from Players of the Serious Game Spiritfarer
abstract
Serious games are a unique subset of immersive learning environments that combine elements of pedagogical strategies, embedded content, and game elements to provide players with opportunities to engage in playful opportunities that are ‘serious’ in nature. Although serious games have been explored in the literature, little exists to chronicle how commercially available serious games have impacted the learning experiences of gamers. This Doctoral Colloquium paper describes an ongoing study that seeks to explore the lived experiences of those who have played the commercially available serious game Spiritfarer. Research will explore educational impacts, emotional responses, and changes in attitude towards death.
Jim Shifflett, Noah Glaser, Lucas J. Jensen, Tina Riedy, Joseph Griffin 0001, Maggie Center
iLRN5
2017 Mission HydroSci: a progress report on a transformational role playing game for science learning
abstract
Mission HydroSci is a game-based 3D virtual environment for enacting transformational role-playing for middle school science students. Student-players will be engaged in a narrative about needing to investigate water resources and use scientific argumentation to complete missions critical to the survival and accomplishments of the members of their scientific enterprise. Our poster presents our progress in years 1 and 2 of a funded project to integrate pedagogical and gameplay objectives, and build mechanisms for purposeful player engagement and activity.
James M. Laffey, Joseph Griffin 0001, Justin Sigoloff, Sean Lander, Troy D. Sadler, Sean P. Goggins, So Mi Kim, Eric Wulff, Andrew J. Womack
FDG2