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Full-Text Articles in Education
The Birds Of A Feather Research Challenge, Todd W. Neller
The Birds Of A Feather Research Challenge, Todd W. Neller
Computer Science Faculty Publications
Neller presented a set of research challenges for undergraduates that allow an excellent formative experience of research, writing, peer review, and potential presentation and publication through a top-tier conference. The focus problem is the analysis of a newly-designed solitaire card game, Birds of a Feather, so potentials for discovery abound. Open access talk slides, research code, solvability data sets, research tutorial videos, and more are also available at http://cs.gettysburg.edu/~tneller/puzzles/boaf .
Game Design & Development Curriculum: History & Future Directions, Elizabeth L. Lawley, Roger Altizer, Tracy Fullerton, Andrew Phelps, Constance Steinkuehler
Game Design & Development Curriculum: History & Future Directions, Elizabeth L. Lawley, Roger Altizer, Tracy Fullerton, Andrew Phelps, Constance Steinkuehler
Presentations and other scholarship
It has been nearly twenty years since the first undergraduate degree program in computer game development was established in 1998. Since that time, the number and size of programs in game design and development have grown at a rapid pace. While there were early efforts to establish curricular guidelines for the field, these face a number of challenges given the diverse range of academic homes for game-related programs. This panel will address the history of curricular development in the field, both in individual programs and across institutions. It will also explore the potential risks and rewards of developing curricular and/or …
Playful Ai Education, Todd W. Neller
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.