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Chandler, Grant; Budge, Kathleen M. – ASCD, 2023
If we want to really understand our students so that we can optimize instruction for them, we must think of each individual student as distinctive and irreplaceable. From this core principle springs the radically humane framework for meaningful teaching that is the subject of this book: Powerful Student Care (PSC). Authors Grant A. Chandler and…
Descriptors: Caring, Individualized Instruction, Student Characteristics, Access to Education
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Hattingh, Sherene; Northcote, Maria – Journal of Further and Higher Education, 2023
In the last few decades, the expansion of online learning and online assessment has attracted both negative and positive attention, some of which has celebrated the flexibility and individualised affordances of online learning contexts, while also lamenting the overuse of one-size-fits-all teaching approaches. Virtual learning contexts have been…
Descriptors: Individualized Instruction, Computer Assisted Testing, Literature Reviews, Online Courses
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Babb, David; Howard, Ervin – Online Journal of Distance Learning Administration, 2023
The University of North Georgia's division of Distance Education & Technology Integration, DETI, developed a series of self-paced workshops to assist faculty in professional development as a response to faculty inquiries and the pandemic. The pandemic changed the way we look at our professional development opportunities. DETI concluded that we…
Descriptors: Workshops, Faculty Development, Individualized Instruction, Pacing
Paula M. Uriarte – ProQuest LLC, 2023
Teachers need access to quality professional development (PD) to navigate the complexities of the teaching profession. An important aspect of this PD is that it is differentiated to meet the needs of teacher-learners with varying ability levels, teaching experiences, content knowledge, and teaching contexts. Stakeholders need access to…
Descriptors: Faculty Development, Literature Reviews, Individualized Instruction, Inservice Teacher Education
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Lee, Jung-Chieh; Xiong, Liangnan – Education and Information Technologies, 2023
Mobile-assisted language learning (MALL) applications (apps) can provide users with personalized learning content to meet their learning needs. Besides, from the learner perspective, the apps can be regarded as 'social' individuals, like anthropomorphic instructors who offer social support to help them with language learning. However, the current…
Descriptors: Use Studies, Decision Making, Handheld Devices, Electronic Learning
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Cakir, Ozlem – Journal of Learning and Teaching in Digital Age, 2022
Since Personalized Instruction increases the motivation, interest, performance and attitude of the student, it is aimed to develop an instructional management system that can be adapted to the individual, taking into account the prior knowledge level of the person who provides the personalization of all instructional materials. The project is…
Descriptors: Individualized Instruction, Electronic Learning, Calculus, College Mathematics
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Guo, Hongfei; Yu, Xiaomei; Wang, Xinhua; Guo, Lei; Xu, Liancheng; Lu, Ran – International Journal of Distance Education Technologies, 2022
As students in online courses usually show differences in their cognitive levels and lack communication with teachers, it is difficult for teachers to grasp student perceptions of the importance of knowledgepoints and to develop personalized teaching. Though recent studies have paid attention to this topic, existing methods fail to calculate the…
Descriptors: Online Courses, Individualized Instruction, Learning Analytics, Concept Mapping
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Bayounes, Walid; Saâdi, Ines Bayoudh; Kinsuk – Smart Learning Environments, 2022
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…
Descriptors: Learning Processes, Learning Motivation, Individualized Instruction, Models
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Li, Yuanmin; Chen, Dexin; Zhan, Zehui – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…
Descriptors: MOOCs, Individualized Instruction, Models, Student Characteristics
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Tenório, Kamilla; Dermeval, Diego; Monteiro, Mateus; Peixoto, Aristoteles; Silva, Alan Pedro da – International Journal of Artificial Intelligence in Education, 2022
There is growing interest in applying gamification to adaptive learning systems to motivate and engage students during the learning process. However, previous studies have reported unexpected results about student outcomes in these systems. One of the causes of these unfavorable effects is the lack of monitoring and adaptation of gamification…
Descriptors: Gamification, Design, Individualized Instruction, Educational Objectives
Mclerran, Karen – ProQuest LLC, 2022
The purpose of this qualitative phenomenological study was to examine the perceptions of middle school teachers regarding differentiation of instruction for students with mild to moderate disabilities. Although there has been little documentation in the literature regarding instructional differentiation five factors that facilitate change have…
Descriptors: Teacher Attitudes, Middle School Teachers, Individualized Instruction, Instructional Effectiveness
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Anna V. Bodiako; Svetlana V. Ponomareva; Tatiana M. Rogulenko; Yuriy A. Krupnov; Teimuraz A. Kemkhashvili – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The paper aims to determine the optimal approach to the training of digital personnel among today's youth in Russia and Central Asia, contrasting individualization and standardization. To achieve the goal, the authors implement the economic and mathematical apparatus, particularly the methods of trend and regression analysis. The results justify…
Descriptors: Information Technology, Youth, Individualized Instruction, Foreign Countries
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Roselle C. Aranha – Educational Planning, 2025
An inclusive and equitable learning environment is a prerequisite for student success and well-being at school. Differentiated instruction helps to nurture a classroom environment where students feel they are at the center of the learning process. While teachers play a key role in the effectiveness of instruction in a differentiated classroom,…
Descriptors: Individualized Instruction, Teacher Attitudes, Preschool Teachers, Elementary School Teachers
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Lidra Ety Syahfitri Harahap; Sri Andayani; Deflimai Ekwan – Pedagogical Research, 2025
Math anxiety can significantly impair student learning outcomes. This is often due to a lack of self-regulated learning (SRL), leading to a reliance on external guidance. This systematic literature review aimed to increase existing knowledge on the role of SRL in reducing students' mathematics anxiety and to assess its impact on improving learning…
Descriptors: Individualized Instruction, Mathematics Anxiety, Outcomes of Education, Correlation
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Jewoong Moon; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Jieun Lim – Technology, Knowledge and Learning, 2025
This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Instructional Design
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