Track Description

Adaptive instruction (sometimes referred to as differentiated instruction) is a learning experience tailored to the needs and preferences of each individual learner or team in which strategies (plans for action) and tactics (actions by the tutor) are selected with the aim of optimizing learning, performance, retention, and the transfer of skills from the instructional environment to the work or operational environment. Adaptive instructional systems include technologies like Intelligent Tutoring Systems.

Intelligent Tutoring Systems (ITSs) are computer-based, adaptive instructional applications that interpret learner, team and environmental data (usually without human intervention) to select and present content and feedback with the aim of optimizing learning, performance, retention, and transfer of skills. ITSs make instructional decisions based on learner states and attributes along with knowledge of the current instructional conditions.

Relevant areas of research for adaptive instruction include: authoring tools, individual learner and team modeling, instructional modeling, domain modeling, instructional effectiveness, interaction design, ontology and architecture.

For further information please contact Robert Sottilare.

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