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Jaclyn Ocumpaugh; Rod D. Roscoe; Ryan S. Baker; Stephen Hutt; Stephen J. Aguilar – International Journal of Artificial Intelligence in Education, 2024
The artificial intelligence in education (AIED) community has produced technologies that are widely used to support learning, teaching, assessment, and administration. This work has successfully enhanced test scores, course grades, skill acquisition, comprehension, engagement, and related outcomes. However, the prevailing approach to adaptive and…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Individualized Instruction
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Robert Weinhandl; Lena Maria Kleinferchner; Carina Schobersberger; Katharina Schwarzbauer; Tony Houghton; Edith Lindenbauer; Branko Andic; Zsolt Lavicza; Markus Hohenwarter – Journal of Mathematics Teacher Education, 2025
Personas, initially originated in user experience research, are short and simplified representations of particular user groups, and this methodological approach has recently gained ground in educational research. This study aims to explore aspects of personas that may be beneficial for prospective mathematics teachers when they develop digital…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematics Instruction, Teaching Methods
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Gina Paola Barrera Castro; Andres Chiappe; Diego Fernando Becerra Rodríguez; Felipe Gonzalo Sepulveda – Electronic Journal of e-Learning, 2024
Personalized learning, a pedagogical approach tailored to individual needs and capacities, has garnered considerable attention in the era of artificial intelligence (AI) and the fourth industrial revolution. This systematic literature review aims to identify key drivers of personalized learning and critically assess the role of AI in reinforcing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Role Theory
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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Daugherty, Kimberly; Morse, Robert; Schmauder, A. Rene'; Hoshaw, Justin; Taylor, Jessica – Intersection: A Journal at the Intersection of Assessment and Learning, 2022
Adaptive learning has become more popular over the last several years, especially with the increasing need to adapt to students with different needs, interests, and learning preferences. The aim of adaptive learning is to provide students with the means to acquire information according to their training needs and cognitive differences, thus…
Descriptors: Student Needs, Individualized Instruction, Student Characteristics, Educational Technology
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Bi, Shaila – Journal on Educational Psychology, 2023
Gifted students with learning disabilities have exceptional capabilities and can perform well, but their disability may impede their academic success. Being gifted and learning disabled seems paradoxical. The most misjudged, misunderstood and ignored students and community members are gifted students with learning disabilities. Research about…
Descriptors: Academically Gifted, Students with Disabilities, Individualized Instruction, Learning Disabilities
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Linlin Li; Mingyu Feng; Hee Jin Bang – Society for Research on Educational Effectiveness, 2023
Background/Context: Mathematics education, especially at early grade levels, continues to be an important focus for national education improvement efforts, and more districts are introducing technology as part of their solution. Along with increasing consistent delivery of personalized and individualized learning to students, technology- and…
Descriptors: Mathematics Skills, Skill Development, Game Based Learning, Elementary School Students
Hee Jin Bang; Amanda Siebert-Evenstone – Age of Learning, Inc., 2023
This study evaluated the implementation and effectiveness of My Math Academy and My Reading Academy, two digital learning programs, in supporting early math and literacy skill development during the 2021-2022 school year in Tyler Independent School District, Texas. In a district where 85% of students were eligible for free and reduced-price meals,…
Descriptors: Social Services, Federal Programs, Low Income Students, Preschool Education
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Miller, Laurie A.; Asarta, Carlos J.; Schmidt, James R. – Journal of Education for Business, 2019
The authors examine effects on student performance, from applying different deadline strategies to online assignments in face-to-face principles of macroeconomics courses. Students in one section were required to complete weekly adaptive learning assignments. Students in the second section were required to complete the adaptive assignments only…
Descriptors: Individualized Instruction, Academic Achievement, Assignments, Time Management
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Boninger, Faith; Molnar, Alex – National Education Policy Center, 2020
The COVID-19 pandemic has given the entire country a crash course in virtual education and digital education platforms. School leaders have been forced to consider a set of very imperfect options as they struggle to reopen their schools. This three-brief collection identifies key issues for school leaders to consider before adopting a digital…
Descriptors: Educational Technology, Technology Uses in Education, COVID-19, Pandemics
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Chen, Sherry Y.; Huang, Pei-Ren; Shih, Yu-Cheng; Chang, Li-Ping – Interactive Learning Environments, 2016
In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…
Descriptors: Prior Learning, Student Characteristics, Gender Differences, Cognitive Style
Hunsinger-Hoff, Susan – Center on Innovations in Learning, Temple University, 2016
This guide provides a trove of information on digital tools and practical examples that educators can use in classrooms both to create a personalized learning environment for students and to focus that learning on skills needed for success in the 21st century. Based on research (Redding, 2012) and U.S. Department of Education policy (2010), the…
Descriptors: Educational Technology, Technology Uses in Education, Flipped Classroom, Student Projects
Online Submission, 2018
Study Island is a practice and assessment tool that provides state-standards-aligned opportunities for students to practice their skills. It features a system of continual assessments with immediate feedback to adjust instruction and learning. When educators integrate Study Island into their instructional practices, it acts as a formative, ongoing…
Descriptors: State Standards, Accountability, Standardized Tests, Educational Assessment
Online Submission, 2018
Study Island is a practice and assessment tool that provides state-standards-aligned opportunities for students to practice their skills. Study Island is a system of continual assessments with immediate feedback to adjust instruction and learning. When educators integrate Study Island into their instructional practices, it acts as a formative,…
Descriptors: State Standards, Accountability, Standardized Tests, Educational Assessment
Bray, Barbara; McClaskey, Kathleen – Learning & Leading with Technology, 2013
It is known that every learner is unique and that one-size-fits-all instruction does not work for most. How can a classroom environment be created that gives each learner voice and choice? The co-founders of Personalize Learning, LLC, offer a detailed six-step approach. This article provides the background on what is and what is not Personalized…
Descriptors: Classroom Environment, Individualized Instruction, Student Needs, Student Characteristics
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