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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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Retnowati, Endah; Ayres, Paul; Sweller, John – Journal of Educational Psychology, 2017
Worked examples and collaborative learning have both been shown to facilitate learning. However, the testing of both strategies almost exclusively has been conducted independently of each other. The main aim of the current study was to examine interactions between these 2 strategies. Two experiments (N = 182 and N = 122) were conducted with…
Descriptors: Cooperative Learning, Mathematics Instruction, Interaction, Grade 7
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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
Kern, Stoney – ProQuest LLC, 2012
Gifted learners in one rural middle school have shown signs of underachievement, with 31% failing one or more subject areas. Due to 100% of these students meeting all standards on the Criterion Reference Competency Test (CRCT), a disparity exists between their classroom achievement scores and standardized test scores. The purpose of this…
Descriptors: Academically Gifted, Middle School Students, Spiritual Development, Qualitative Research
Delgado, Jane – College Board, 2005
SpringBoard is a comprehensive instructional program in English language arts and mathematics that reflects powerful, research-based understandings about how people learn. This report presents a model of learning based on cognitive science with particular attention to the role of memory and language. The instructional framework of strategic…
Descriptors: Teaching Methods, Language Arts, Mathematics Instruction, English Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection