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Burey, Joseph; Kim, Jasmine; McMaster, Kristen L.; Kendeou, Panayiota – Grantee Submission, 2022
We sought to identify the extent to which an innovative educational technology called ELCII (Early Language Comprehension Individualized Instruction) improved inference making for various populations of kindergarten students. Analyses examined student performance based on individual-level demographic characteristics (i.e., gender, race/ethnicity,…
Descriptors: Educational Technology, Reading Instruction, Individualized Instruction, Kindergarten
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Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
Prihar, Ethan; Haim, Aaron; Sales, Adam; Heffernan, Neil – Grantee Submission, 2022
Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Electronic Learning
France, Paul Emerich – Corwin, 2022
It's a paradox: technology to individualize curriculum has made classrooms less personal. Let's instead trust educators to make learning personal by supporting student agency, self-awareness, and the intimate personal connections found in authentic learning experiences. In the second edition of this groundbreaking book--newly streamlined, and…
Descriptors: Equal Education, Inclusion, Individualized Instruction, Personal Autonomy
Natalie Gray Pope – ProQuest LLC, 2022
Differentiated instruction is defined as providing all students access to the same set of curricula while at the same time providing tasks and instruction tailored to a student's specific learning style. This expectation has led researchers to study and understand differentiated instruction for embedded applications across all classroom and…
Descriptors: Principals, Individualized Instruction, Teacher Attitudes, Administrator Attitudes
Ann Makikalli – ProQuest LLC, 2022
While the advocacy of differentiation as best pedagogical practices for instruction of gifted students can be found in scholarly literature, minimal research attention has been given to high-ability students' perceptions about their lived classroom experiences. Lack of challenging and accelerated content for identified gifted students can lead to…
Descriptors: Academically Gifted, Student Attitudes, College Students, Females
Shengyu Jiang; Jiaying Xiao; Chun Wang – Grantee Submission, 2022
An online learning system has the capacity to offer customized content that caters to individual learner's need and has seen growing interest from industry and academia alike in recent years. Different from traditional computerized adaptive testing setting which has a well-calibrated item bank with new items periodically added, online learning…
Descriptors: Item Response Theory, Item Banks, Bayesian Statistics, Learning Management Systems
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Vassoyan, Jean; Vie, Jill-Jênn – International Educational Data Mining Society, 2023
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…
Descriptors: Reinforcement, Networks, Simulation, Educational Technology
Hess, Frederick M. – Harvard Education Press, 2023
In "The Great School Rethink," education policy sentinel Frederick M. Hess offers a pithy and perceptive appraisal of American schooling and finds, in the uncertain period following pandemic disruption, an ideal moment to reimagine US education. Now is the time, he asserts, to ask hard questions about how schools use time and talent, how…
Descriptors: Educational Change, Change Strategies, Educational Improvement, Teacher Shortage
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Haslip, Michael J.; Terry, Neisha – Early Childhood Education Journal, 2023
This mixed methods study examines the relationship between different components and characteristics of individualized lesson plans and children's social-emotional outcomes to develop a profile of effective planning. Sixty-one individualized SEL lesson plans written and implemented by 20 experienced early childhood educators from a large city in…
Descriptors: Individualized Instruction, Lesson Plans, Social Emotional Learning, Outcomes of Education
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Baumoel, Matthew; Schmidlein, Robert – Strategies: A Journal for Physical and Sport Educators, 2023
This article is adapted from a research study that interviewed physical educators in an urban city located in the Northeast of the United States. This article focuses on the teachers' perspective around the topic of differentiated instruction in elementary physical education. The key concepts are: understanding the student, assessing on the fly,…
Descriptors: Physical Education, Physical Education Teachers, Teacher Attitudes, Teaching Methods
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Bal, Ayten Pinar – South African Journal of Education, 2023
The aim of the study reported on here was to assess the impact of differentiated instruction in terms of mathematics achievement and the attitudes of secondary school learners to reveal their views on differentiated instruction. The study was designed according to a mixed method design in which both quantitative and qualitative methods were used.…
Descriptors: Mathematics Achievement, Secondary School Students, Mathematics Tests, Attitude Measures
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Krishnamoorthy, Lakshmi; Merchant, Zahira – Pedagogical Research, 2023
Persuasion is inherent to the instructional process. Instructions delivered through online programs do not always generate expected and consistent learning outcomes, and hence persuasion in online instructional design is even more critical. Through this mixed-method study, we aim to identify the most widely used persuasive design techniques, the…
Descriptors: Persuasive Discourse, Instructional Design, Electronic Learning, Learner Engagement
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Li, Kam Cheong; Wong, Billy Tak-ming – Journal of Computing in Higher Education, 2023
This paper reports a comprehensive review of literature on personalised learning in STEM and STEAM (or STE(A)M) education, which involves the disciplinary integration of Science, Technology, Engineering, and Mathematics, as well as Arts. The review covered the contexts of STE(A)M education where personalised learning was adopted, the objectives of…
Descriptors: Individualized Instruction, STEM Education, Art Education, Educational Objectives
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Brod, Garvin; Kucirkova, Natalia; Shepherd, Joshua; Jolles, Dietsje; Molenaar, Inge – Educational Psychology Review, 2023
Advancing learners' agency is a key educational goal. The advent of personalized EdTech, which automatically tailor learning environments to individual learners, gives renewed relevance to the topic. EdTech researchers and practitioners are confronted with the same basic question: What is the right amount of agency to give to learners during their…
Descriptors: Educational Technology, Interdisciplinary Approach, Personal Autonomy, Individualized Instruction
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