Implementing an Adaptive Intelligent Tutoring System as an Instructional Supplement

Published in: Educational Technology Research and Development (2020). doi: 10.1007/s11423-020-09745-w

Posted on RAND.org on March 10, 2020

by Andrea Phillips, John F. Pane, Rebecca Reumann-Moore, Oluwatosin Shenbanjo

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Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in classrooms, which may contribute to a lack of consistently positive effects on student learning. This article extends the literature by closely examining implementation models and dosage levels for a supplemental software, two gaps in existing research. It also investigates adherence to the core components of the software, and extent to which the supplement enabled personalized instruction. The study was conducted in 40 algebra I classes in an urban school district. Sixty-two percent of classes implemented models that integrated instructional modalities. There was mixed adherence to core components of the software in classes that used it. In the vast majority of classes (94%), software did not enable personalized instruction. Software and the existing curricula were largely independent and did not inform each other. Only one class implemented an integrated instructional model, adhered to the core design components of the software, and demonstrated high levels of personalized instruction. Findings identify implementation barriers and offer suggestions for future implementations and studies of technology-enabled personalization.

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