MS, Kent State University, 2012, College of Arts and Sciences / Department of Computer Science

Educational gaming is an emerging field with potential for use in STEM education. To harness this potential, the education technology community needs to conduct extensive research and experimentation to determine what makes an effective educational game. The nature of this research requires that educators, game designers, technology enablers and students work closely work together to develop and test traditional and new game based teaching strategies. To that end there is a need for flexible software infrastructure to support this research and experimentation. The focus of this thesis work is to design and build tools to enable the automatic collection of data to assess the student learning via educational game software on hand held devices. The author has proposed a generic learning assessment data collection framework and also provided a JAVA based data collection API to enable the collection of the data from the game and its transfer to remote database.

Committee: Arden Ruttan (Advisor); Laura Bartolo (Advisor); Hassan Peyravi (Committee Member); Ye Zhao (Committee Member) Subjects: Computer Science