GIFT

Abstract: This paper examines adaptive instructional methods to accelerate learning and improve learning capacity. Adaptive instruction provides tailored, computer-based learning experiences based on the needs and preferences of the learner. Often the goal is to optimize learning, performance, retention, and transfer of skills from instructional environments to work/operational environments. In this case, we shall examine methods to accelerate learning (improve instructional efficiency) and enhance learning capacity (improve instructional effectiveness) during adaptive instruction using Intelligent Tutoring Systems (ITSs). Specifically, we will examine best practices incorporated or emerging in ITSs authored by the Generalized Intelligent Framework for Tutoring (GIFT; Sottilare, Brawner, Goldberg, Holden 2012; Sottilare, Brawner, Sinatra, and Johnston, 2017) GIFT is a prototype, free, open-source architecture for authoring, managing, and evaluating ITSs and adaptive instruction.

Keywords: adaptive instruction, accelerated learning, instructional efficiency, instructional effectiveness, Intelligent Tutoring Systems (ITSs), Generalized Intelligent Framework for Tutoring (GIFT)

Citation: Sottilare, R., & Goodwin, G. (2017). Adaptive Instructional Methods to Accelerate Learning and Enhance Learning Capacity. In Proceedings of the International Defense & Homeland Security Simulation Workshop of the I3M Conference. Barcelona, Spain, September 2017.