Publication Date
In 2025 | 167 |
Since 2024 | 601 |
Since 2021 (last 5 years) | 1728 |
Since 2016 (last 10 years) | 3318 |
Since 2006 (last 20 years) | 5283 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Practitioners | 1060 |
Teachers | 904 |
Students | 214 |
Administrators | 163 |
Researchers | 151 |
Policymakers | 88 |
Parents | 46 |
Counselors | 19 |
Media Staff | 12 |
Community | 9 |
Support Staff | 7 |
More ▼ |
Location
Canada | 188 |
California | 183 |
Australia | 179 |
Florida | 128 |
Illinois | 112 |
New York | 97 |
United States | 95 |
Texas | 93 |
New York (New York) | 91 |
Pennsylvania | 91 |
Turkey | 89 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 10 |
Meets WWC Standards with or without Reservations | 21 |
Does not meet standards | 11 |
Anwar, Mohd – International Journal of Artificial Intelligence in Education, 2021
Privacy is a rather murky concept, but the absence of privacy is clearly felt in today's digital world. With the significant increase in surveillance power of software and hardware, storage capacity, computing power as well as advancement in data science technologies, the threat to privacy is ever increasing. Within the digital realm, privacy has…
Descriptors: Privacy, Trust (Psychology), Individualized Instruction, Online Courses
Anikieva, Marina A. – Australasian Journal of Educational Technology, 2021
This paper discusses the factors that determine the customisation of e-learning programmes. The process of customisation depends on many parameters, such as the objectives of the programme, the quantity and order of the learning materials, the personality and abilities of the student, and the resources within the learning system. Curriculum…
Descriptors: Electronic Learning, Individualized Instruction, Taxonomy, Educational Research
Westman, Lisa – Educational Leadership, 2021
With some combination of remote, hybrid, or in-person learning with social distancing restrictions--and (hopefully) a bit of time this summer to relax and restore--teachers are ready to take on the 2021-2022 school year. The question on everyone's mind is, "What will our students need?" The idea of differentiation is taking center stage.…
Descriptors: Individualized Instruction, Empathy, Student Needs, Equal Education
Zachary Conrad – ProQuest LLC, 2021
In the past twenty-five years, assessment developers and educators have been seeking ways to make assessments more informative and to advance understandings of students' cognitive processes (Ercikan, 2006; Leighton & Gierl, 2007). Demands for personalized formative assessment feedback have stimulated interest in the application of diagnostic…
Descriptors: Evaluation, Test Validity, Feedback (Response), Individualized Instruction
Rachael A. Cody; Gregory T. Boldt; E. Jean Gubbins – Journal of Advanced Academics, 2024
This study used a mixed-methods design to examine teachers' responses to professional learning on mathematics differentiation. Grade 3 classroom teachers (N = 28) attended four 2-h professional learning sessions and an additional 2 h individually on differentiation and completed pre- and post-surveys with quantitative and short response items…
Descriptors: Decision Making, Faculty Development, Grade 3, Mathematics Instruction
Thomas Wanner; Edward Palmer; Daniel Palmer – Teaching in Higher Education, 2024
This paper discusses a two-year study at an Australian university in which 154 undergraduate and 51 postgraduate students reflected on their experiences with flexible and personalised assessment where they could choose assessment tasks, submission dates and weightings of their assignments. Through pre- and post-course surveys and a focus group,…
Descriptors: Foreign Countries, College Students, Student Evaluation, Student Attitudes
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
Allyson H. Goff – ProQuest LLC, 2024
The debate between cooperative group learning and individual instruction has long been a focal point in educational discourse. This research study explored these two instructional methodologies' comparative efficacy and benefits in fostering learning outcomes and skill development. This research study was conducted using fifth-grade classes from…
Descriptors: Mathematics Instruction, Teaching Methods, Cooperative Learning, Individualized Instruction
Jenni Ruotsalainen; Eija Pakarinen; Anna-Maija Poikkeus; Marja-Kristiina Lerkkanen – European Journal of Psychology of Education, 2024
This cross-lagged study examined the classroom-level associations between the reading performance of first-grade students (N = 537) and observed literacy instruction activities in classrooms (N = 30) in the autumn and spring terms. The multilevel analyses indicated that lower average word reading skills in the classrooms (i.e., there were more…
Descriptors: Reading Achievement, Literacy Education, Elementary School Students, Grade 1
Anya Z. Kayne – ProQuest LLC, 2024
Teachers face challenges in differentiating social emotional learning (SEL) to meet the diverse needs of their students. The purpose of this basic qualitative study was to explore early childhood teachers' perspectives of strategies and challenges to differentiating SEL curricula to meet students' diverse needs using the theory of social…
Descriptors: Social Emotional Learning, Student Needs, Individualized Instruction, Teacher Attitudes
Roselle C. Aranha; Sushma Marwaha; Walter S. Polka – Educational Planning, 2024
Three years after the COVID-19 pandemic, school systems worldwide are still on the road to recovery. As students return to in-person learning, there is an increased awareness among educators to investigate the areas of student need where interventional strategies could be applied to bridge the learning loss and help further student academic…
Descriptors: Foreign Countries, COVID-19, Pandemics, Preschool Teachers
Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
Anu Resmi Joseph – ProQuest LLC, 2024
Motivation to learn is a necessary factor to benefit education. However, only some students are motivated to learn. Some students are extrinsically motivated through physical rewards or prizes, which are temporary. Other students are intrinsically motivated through different factors such as curiosity, recognition, competence, and relatedness,…
Descriptors: Individualized Instruction, Student Motivation, Academic Achievement, Student Behavior
Clarivando Francisco Belizário Júnior; Fabiano Azevedo Dorça; Luciana Pereira de Assis; Alessandro Vivas Andrade – International Journal of Learning Technology, 2024
Loop-based intelligent tutoring systems (ITSs) support the learning process using a step-by-step problem-solving approach. A limitation of ITSs is that few contents are compatible with this approach. On the other hand, recommendation systems can recommend different types of content but ignore the fine-grained concepts typical of the step-by-step…
Descriptors: Artificial Intelligence, Educational Technology, Individualized Instruction, Cognitive Style
Zehra Tugba Guzel – Turkish Online Journal of Distance Education, 2024
The advent of digital technology has enabled the development of alternative learning methods that enable personalized education to meet the demands of the modern era. Regardless of geographical location and time, online education facilitates the provision of personalized learning opportunities through asynchronous or synchronous recording. Thanks…
Descriptors: Individualized Instruction, Electronic Learning, Informal Education, Evaluation