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Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
Xueshen Wang; Yun Wei – Applied Cognitive Psychology, 2025
Math anxiety refers to the emotions of fear, worry, and avoidance that students experience while learning math or participating in math-related activities. How to effectively alleviate students' math anxiety has always been a concern for global education researchers. Generative artificial intelligence (Gen-AI) is a specialized branch of artificial…
Descriptors: Elementary School Students, Mathematics Anxiety, Intervention, Artificial Intelligence
What Works Clearinghouse, 2017
"Odyssey® Math" is a web-based program developed by Compass Learning® for mathematics instruction in grades K-8. The online program includes a mathematics curriculum and formative assessments designed to support differentiated and data-driven instruction. Based on assessment results, the program generates an individualized sequence of…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Individualized Instruction
Takacs, Jill A. – ProQuest LLC, 2010
The relationship between teaching and learning requires a coordinated effort between teachers and students that depends upon common goals aligned to the teachers' expertise and the students' academic needs. Without a systematic approach to teaching, instructional practice can neglect learning targets. Formative practices afford teachers a…
Descriptors: Formative Evaluation, Pretests Posttests, Program Effectiveness, Social Change
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

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