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David Dockterman – npj Science of Learning, 2018
Current initiatives to personalize learning in schools, while seen as a contemporary reform, actually continue a 200+ year struggle to provide scalable, mass, public education that also addresses the variable needs of individual learners. Indeed, some of the rhetoric and approaches reformers are touting today sound very familiar in this historical…
Descriptors: Individualized Instruction, Educational History, Public Education, Educational Change
Peltier, Corey; Peltier, Tiffany K. – Beyond Behavior, 2020
The mathematics performance of students identified with emotional and behavioral disorders (EBD) is poor. Students identified with EBD require individualized instruction aligned with their unique academic and behavioral needs. One way that teachers can efficiently identify core mathematics deficits and provide individualized instruction is through…
Descriptors: Mathematics Instruction, Individualized Instruction, Mathematics Achievement, Emotional Disturbances
Kokkinos, Theodoros – African Educational Research Journal, 2020
It is well accepted that not only the ability but also the positive disposition of teachers towards various teaching practices (including differentiated teaching) can be largely traced back to their initial education and training. Therefore, the beliefs and experiences of future teachers for planning and implementing differentiated teaching…
Descriptors: Student Teachers, Student Experience, Teaching Methods, Foreign Countries
Barlow, Angela T.; Groves-Scott, Victoria – Mathematics Teacher: Learning and Teaching PK-12, 2020
When discussing mobile learning (or M-Learning), many educators tend to focus on the affordances of the technology. In this article, the authors feature the M-Learning Framework as a way to view the effective use of mobile devices. The framework includes three key features: (1) authenticity; (2) personalization; and (3) collaboration. These…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Elyas, Tariq; AlHashmi, Bayan; Fang, Fan – TEFLIN Journal: A publication on the teaching and learning of English, 2020
With a theory-driven interest in the factors that make some language learners more successful than others, this study attempts to measure the cognitive diversity level of EFL learners at a Saudi university. To achieve this purpose, the Ehrman and Leaver's questionnaire of learners' cognitive profiles (Ehrman & Leaver, 2003) was adapted,…
Descriptors: Cognitive Processes, Diversity, English (Second Language), Second Language Instruction
Stoten, David William – Adult Learning, 2020
The purpose of this article is to highlight the benefits to both organizations and individuals in adopting heutagogy within management education to develop individual capability. This conceptual paper is based on a systematic review of the literature relating to heutagogy and learning theory. This article calls for the adoption of heutagogic…
Descriptors: Independent Study, Student Centered Learning, Individualized Instruction, Learning Theories
Shareefa, Mariyam; Moosa, Visal – European Journal of Educational Research, 2020
The amount of empirical research conducted in the area of differentiated instruction (DI) is overwhelming, necessitating this bibliometric analysis in order to produce an overview of literature on the topic. The objective of this study is to identify the characteristics of the most-cited educational research published on the topic of DI using…
Descriptors: Bibliometrics, Individualized Instruction, Educational Research, Information Retrieval
Frank, Jeff – Ethics and Education, 2020
This paper aims to provide parents and others resources to resist technology-mediated personalized learning. To develop these resources and make the case against technology-mediated personalized learning, I turn to the work of American philosophers Henry Bugbee and John William Miller.
Descriptors: Educational Philosophy, Technology Uses in Education, Individualized Instruction, Teaching Methods
Fulbeck, E.; Seidel, D.; Atchison, D.; Giffin, J. – American Institutes for Research, 2020
With the start of the school year, educators are looking for instructional strategies that can be adapted for both in-person or virtual instruction at any moment due to the persistent and unpredictable school closures in responses to the COVID-19 pandemic. It is important that these strategies be able to meet every student's individual learning…
Descriptors: Individualized Instruction, Learning Modalities, Teaching Methods, Learning Centers (Classroom)
Marx, Teri; Peterson, Amy; Arden, Sarah – National Center on Intensive Intervention, 2020
During spring 2020, educators quickly adapted to providing interventions and collecting data virtually despite the challenges of the COVID-19 pandemic. Parents were critical partners in supporting opportunities for students with intensive needs to data-based individualization (DBI) Process practice and receive feedback and sharing what was working…
Descriptors: COVID-19, Pandemics, Individualized Instruction, Data Use
McTighe, Jay; Doubet, Kristina J.; Carbaugh, Eric M. – ASCD, 2020
Aimed at the growing number of educators who are looking to move beyond covering the curriculum, "Designing Authentic Performance Tasks and Projects" provides a comprehensive guide to ensuring students' deeper learning--in which they can transfer their knowledge, skills, and understandings to the world beyond the classroom. Readers will…
Descriptors: Authentic Learning, Academic Standards, 21st Century Skills, Student Centered Learning
Amy J. Hackenberg; Robin Jones; Rebecca Borowski – Mathematics Teacher: Learning and Teaching PK-12, 2020
This article describes an example of differentiating instruction (DI) involving middle school students from a five-year project funded by the National Science Foundation. In one phase of the project, a classroom teacher and the research team differentiated instruction for a class of 18 seventh-grade students during a 26-day unit on proportional…
Descriptors: Grade 7, Middle School Students, Individualized Instruction, Mathematics Instruction
Michela Carlana; Eliana La Ferrara – National Bureau of Economic Research, 2024
We study the Tutoring Online Program (TOP), where: (i) tutoring is entirely online; (ii) tutors are volunteer university students, matched with underprivileged middle school students. We leverage random assignment to estimate effects during and after the pandemic (2020 and 2022), investigating channels of impact. Three hours of individual tutoring…
Descriptors: Tutoring, Computer Mediated Communication, College Students, Middle School Students
Fruzsina Szabó; Joanna Szoke – ELT Journal, 2024
In recent years, artificial intelligence (AI) has increasingly made advances across various fields, including ELT. In this article we embrace an egalitarian dialogue framework to explore and understand the role of AI in language education. This format provides a useful backdrop for navigating the dual responses--enthusiasm and scepticism--by which…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
Yolanda Little – ProQuest LLC, 2024
Differentiated instruction has emerged as a research-based approach to teaching that meets the diverse needs of students based upon learner readiness, interests, and learning profile, grounded in the socio-cultural, multiple intelligences, and brain-based learning theories. The purpose of this basic qualitative inquiry was to explore teachers'…
Descriptors: Teacher Attitudes, Individualized Instruction, Student Development, Regular and Special Education Relationship

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