Game Design Commons^™

Designing Analog Learning Games: Genre Affordances, Limitations And Multi-Game Approaches, Owen Gottlieb, Ian Schreiber

Articles

This chapter explores what the authors discovered about analog games and game design during the many iterative processes that have led to the Lost & Found series, and how they found certain constraints and affordances (that which an artifact assists, promotes or allows) provided by the boardgame genre. Some findings were counter-intuitive. What choices would allow for the modeling of complex systems, such as legal and economic systems? What choices would allow for gameplay within the time of a class-period? What mechanics could promote discussions of tradeoff decisions? If players are expending too much cognition on arithmetic strategizing, could that …

Usage And Effects Of Video Games In Education, Kevin Sagara

ART 108: Introduction to Games Studies

In modern society, the act of playing games entices certain prejudices towards those who decide to participate in such activities. Those prejudices normally revolve around negative stereotypes where games are meant for non-social adults and are seen as something akin to addiction if gone too far. But how much gaming is needed to be considered as an addiction and what actual effects does it have on mental growth, social capabilities and academics? As a community revolving around technology as much as we are, understanding how video games play a role in our social space is an important aspect to growth. …

Lost & Found: New Harvest, Owen Gottlieb, Ian Schreiber

Presentations and other scholarship

Lost & Found is a strategy card-to-mobile game series that teaches medieval religious legal systems with attention to period accuracy and cultural and historical context.

Set in Fustat (Old Cairo) in the 12th century, a great crossroads of Islam, Judaism, and Christianity. The Lost & Found games project seeks to expand the discourse around religious legal systems, to enrich public conversations in a variety of communities, and to promote greater understanding of the religious traditions that build the fabric of the United States. Comparative religious literacy can build bridges between and within communities and prepare learners to be responsible citizens …

Re-Playing Maimonides’ Codes: Designing Games To Teach Religious Legal Systems, Owen Gottlieb

Articles

Lost & Found is a game series, created at the Initiative for

Religion, Culture, and Policy at the Rochester Institute of

Technology MAGIC Center.1 The series teaches medieval

religious legal systems. This article uses the first two games

of the series as a case study to explore a particular set of

processes to conceive, design, and develop games for learning.

It includes the background leading to the author's work

in games and teaching religion, and the specific context for

the Lost & Found series. It discusses the rationale behind

working to teach religious legal systems more broadly, then

discuss the …

Time Travel, Labour History, And The Null Curriculum: New Design Knowledge For Mobile Augmented Reality History Games, Owen Gottlieb

Articles

This paper presents a case study drawn from design-based research (DBR) on a mobile, place-based augmented reality history game. Using DBR methods, the game was developed by the author as a history learning intervention for fifth to seventh graders. The game is built upon historical narratives of disenfranchised populations that are seldom taught, those typically relegated to the 'null curriculum'. These narratives include the stories of women immigrant labour leaders in the early twentieth century, more than a decade before suffrage. The project understands the purpose of history education as the preparation of informed citizens. In paying particular attention to …

Playful Ai Education, Todd W. Neller

Computer Science Faculty Publications

In this talk, Neller shared how games can serve as a fun means of teaching not only game-tree search in Artificial Intelligence (AI), but also such diverse topics as constraint satisfaction, logical reasoning, planning, uncertain reasoning, machine learning, and robotics. He observed that teachers teach best when they enjoy what they share and encouraged AI educators present to teach to their unique strengths and enthusiasms.