46.085-18 - Design Issues Regarding the Use of Games and Simulations for Learning and Assessment

• In Event: 46.085 - Roundtable Session 15

Session Type: Roundtable Session

Abstract

The round table will address the theoretical and empirical basis of the game and simulations strategies one recommends to design and assess games and simulations. Design issues will include use of meta-analysis of value added instructional features, data mining approaches coupled with evidence-centered design when lead to support for instructional strategies that involve generation, discrimination, and scaffolding in a serious game, a domain-specific assessment approach instantiated in a domain-specific creative thinking measure, and feature analysis, e.g., ontologies of Next Generation Science Standards. These presentations will suggest how instructionally effective games and simulations can be developed. The features can be used either as specifications or in post hoc analyses of instruction or assessment, linked to diagnostic psychometric models.

Sub Unit

• Division C - Learning and Instruction / Division C - Section 3b: Technology-Based Environments

Chair

• Gregory K.W.K. Chung, University of California - Los Angeles

Papers

• Value-Added Approach to Game Research: Which Features Improve a Game's Effectiveness? - Richard E. Mayer, University of California - Santa Barbara

• Predicting Learning Within a Serious Game - Carol McGregor Forsyth, Educational Testing Service; Arthur C. Graesser, The University of Memphis

• Measurement of Domain-Specific Creative Thinking in a Team Training Simulation - Harold F. O'Neil, University of Southern California; Eunsook Hong, University of Nevada - Las Vegas

• Feature Analysis as a Technology Design and Evaluation Tool - Eva L. Baker, University of California - Los Angeles