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Showing 1 to 15 of 41 results Save | Export
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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
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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Lingfei Luan; Xi Lin; Yan Dai; Shu Hu; Qianlu Sun – Asian Journal of Distance Education, 2024
The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift…
Descriptors: COVID-19, Pandemics, Artificial Intelligence, Computer Software
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Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
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Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as…
Descriptors: Artificial Intelligence, Computer Software, Individualized Instruction, Privacy
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Jørnø, Rasmus Leth; Andersen, Bjarke Lindsø; Gundersen, Peter – Nordic Journal of Studies in Educational Policy, 2022
In this theoretical paper, we argue that Tech enthusiasts and skeptics are animated by the same sociotechnical personalization imaginary to improve education and teaching through personalization, but see very different paths to this goal. Tech boosters point to well-known problems of the existing education system -- and rhetorically ask: 'why…
Descriptors: Educational Improvement, Teaching Methods, Professional Autonomy, Problem Solving
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XiaoShu Xu; Xibing Wang; Yunfeng Zhang; Wenjuan Ma – International Society for Technology, Education, and Science, 2023
The integration of ChatGPT in Personal Learning Environments (PLEs) has emerged as a promising approach to personalized learning in tertiary education. ChatGPT is believed to have the potential to transform traditional higher education into a more personalized, quality-driven, and student-centered learning experience that fosters critical…
Descriptors: Artificial Intelligence, Computer Software, Risk, Educational Benefits
Hartvigsen, Teresa; Durfee, Melanie; Call, Todd; Throndsen, Jennifer – Utah State Board of Education, 2021
The Early Interactive Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2019-2020 school year, these software…
Descriptors: Elementary School Students, Primary Education, Reading Instruction, Computer Assisted Instruction
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Prextova, Tatiana; Klubal, Libor; Kostolányová, Katerina; Homanov, Zuzana; Gybas, Vojtech – International Association for Development of the Information Society, 2018
Individualization of instruction in a regular classroom is difficult. The paper explores the possibilities of using a mobile touch device and a web tool for time individualization in mathematics instruction. The paper compares the pros and cons of using an electronic and a regular (printed) test to determine students' needs. The results show that…
Descriptors: Individualized Instruction, Computer Software, Mathematics Instruction, Teaching Methods
Durfee, Melanie; Call, Todd; Throndsen, Jennifer; Nielsen, Darin – Utah State Board of Education, 2019
The Early Intervention Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2018-2019 school year, these software…
Descriptors: Early Intervention, Reading Instruction, Computer Assisted Instruction, Computer Software
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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
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Cope, Bill; Kalantzis, Mary – E-Learning and Digital Media, 2013
This article describes the thinking behind the development of "Scholar," a "social knowledge" technology developed as part of a series of research and development projects at the University of Illinois. Seven pedagogical openings are identified in this article, possibilities for the creation of innovative learning environments…
Descriptors: Computer Software, Educational Technology, Theory Practice Relationship, Electronic Learning
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What Works Clearinghouse, 2012
"I CAN Learn"[R] is a computer software system that provides math instruction through a series of interactive lessons. These lessons are delivered with a one-to-one student-to-computer ratio. Students determine the pace of each lesson and must demonstrate mastery of the lesson before progressing to the next one. Teachers provide…
Descriptors: Computer Software, Mathematics Teachers, Algebra, Individualized Instruction
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Hsiao, I.-H.; Sosnovsky, S.; Brusilovsky, P. – Journal of Computer Assisted Learning, 2010
Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a…
Descriptors: Electronic Learning, Guidance, Individualized Instruction, Computer Software
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What Works Clearinghouse, 2008
"Accelerated Math" software creates individualized assignments aligned with state standards and national guidelines, scores student work, and generates reports on student progress. The software can be used in conjunction with the existing math curriculum to add practice components and potentially aid teachers in differentiating…
Descriptors: Mathematics Achievement, Computer Software, Individualized Instruction, Measures (Individuals)
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