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Rashmi Khazanchi; Daniele Di Mitri; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…
Descriptors: Mathematics Achievement, Rural Areas, Artificial Intelligence, Individualized Instruction
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Schmid, Regina; Pauli, Christine; Stebler, Rita; Reusser, Kurt; Petko, Dominik – Journal of Educational Research, 2022
Digital technology especially raised hopes to open up new possibilities to personalize learning. Although various schools have implemented approaches of technology-supported personalized learning, the impact on instructional quality remains unclear. As a common definition of the multilayered construct "personalized learning" is lacking,…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Instructional Effectiveness
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Arroyo, Ivon; Woolf, Beverly Park; Burelson, Winslow; Muldner, Kasia; Rai, Dovan; Tai, Minghui – International Journal of Artificial Intelligence in Education, 2014
This article describes research results based on multiple years of experimentation and real-world experience with an adaptive tutoring system named Wayang Outpost. The system represents a novel adaptive learning technology that has shown successful outcomes with thousands of students, and provided teachers with valuable information about students'…
Descriptors: Intelligent Tutoring Systems, Multimedia Instruction, Mathematics Instruction, Learner Engagement