Publication Date
In 2025 | 4 |
Since 2024 | 20 |
Descriptor
Source
Author
A. N. Varnavsky | 1 |
Aaron Butler | 1 |
Adam C. Sales | 1 |
Aimee Lintner | 1 |
Alexandra I. Cristea | 1 |
Almudena Sevilla | 1 |
Amir Narimani | 1 |
Amy J. Dray | 1 |
Ana C. T. Klock | 1 |
Anabil Munshi | 1 |
Andres Chiappe | 1 |
More ▼ |
Publication Type
Journal Articles | 13 |
Reports - Research | 13 |
Dissertations/Theses -… | 3 |
Reports - Descriptive | 2 |
Speeches/Meeting Papers | 2 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Elementary Education | 5 |
Secondary Education | 5 |
Higher Education | 4 |
Junior High Schools | 4 |
Middle Schools | 4 |
Postsecondary Education | 4 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Audience
Location
Canada | 1 |
China | 1 |
China (Shanghai) | 1 |
Germany | 1 |
Ireland | 1 |
Japan | 1 |
Macedonia | 1 |
Michigan | 1 |
Slovenia | 1 |
Spain (Madrid) | 1 |
United Kingdom | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Luiz Rodrigues; Paula T. Palomino; Armando M. Toda; Ana C. T. Klock; Marcela Pessoa; Filipe D. Pereira; Elaine H. T. Oliveira; David F. Oliveira; Alexandra I. Cristea; Isabela Gasparini; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2024
Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students' motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring multiple individual and contextual factors that affect user motivation. Unlike prior research, we…
Descriptors: Individualized Instruction, Student Motivation, Gamification, Student Evaluation
Jiayu Shao – ProQuest LLC, 2024
Recognizing the existing research gaps concerning learner characteristics in the realm of personalized learning in Chinese higher art education, this study initially analyzed prevailing patterns in personalized learning research and its current implementation in higher education through an extensive literature review. Subsequently, a quantitative…
Descriptors: Foreign Countries, Higher Education, College Students, Student Characteristics
Amir Narimani; Elena Barberà – International Review of Research in Open and Distributed Learning, 2024
As education has evolved towards online learning, the availability of learning materials has expanded and consequently, learners' behavior in choosing resources has changed. The need to offer personalized learning experiences and content has never been greater. Research has explored methods to personalize learning paths and match learning…
Descriptors: Electronic Learning, Online Courses, Artificial Intelligence, Course Selection (Students)
Sara E. N. Kangas; María Cioè-Peña – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
In the United States, individualized language plans (ILPs) have gained traction across K-12 schools. Much like the Individualized Education Programs (IEPs) used in special education, ILPs outline individualized goals, accommodations, and services for multilingual learners for their language development; however, unlike IEPs, ILPs are developed at…
Descriptors: Individualized Instruction, Elementary Secondary Education, Multilingualism, Student Characteristics
A. N. Varnavsky – IEEE Transactions on Learning Technologies, 2024
The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…
Descriptors: Hierarchical Linear Modeling, Intelligent Tutoring Systems, Individualized Instruction, Electronic Learning
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
Landon Kubicek – ProQuest LLC, 2024
Teachers are the backbone of our education system and are often overlooked sources of information within the education system itself. It's critical to find the most up-to-date teaching practices and combine those practices by gaining insight from these teachers to ensure student success. Today, in the modern United States education system,…
Descriptors: Student Diversity, Individualized Instruction, Student Needs, Course Content
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
Pilar Cuevas-Ruiz; Luz Rello; Ismael Sanz; Almudena Sevilla – Annenberg Institute for School Reform at Brown University, 2025
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…
Descriptors: Artificial Intelligence, Individualized Instruction, Reading Skills, Equal Education
Yiling Dai; Heinz Ulrich Hoppe; Brendan Flanagan; Kyosuke Takami; Hiroaki Ogata – Smart Learning Environments, 2024
Educational recommender systems have been supporting personalized learning in various ways. However, less discussion is conducted about whether and how to personalize the strategies to generate recommendations based on student differences. In this study, we aim at investigating how students judge recommendations based on different strategies, and…
Descriptors: Foreign Countries, High School Students, Student Characteristics, Individual Differences
Fangfang Cai – Journal of Advanced Academics, 2025
Teachers' perceptions are important in identifying and serving gifted children. However, little attention is given to gifted education in the early years in China. This study aimed to investigate teachers' perceptions of young gifted children (aged 3-6), exploring teachers' understandings, feelings, practices, and perceived challenges. Qualitative…
Descriptors: Foreign Countries, Teacher Attitudes, Academically Gifted, Young Children
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
Aimee Lintner – Turkish Online Journal of Educational Technology - TOJET, 2024
The purpose of the case study was to understand the use of technology, particularly AI, for public middle school teachers in Michigan for critical thinking and problem-solving skills among students. The theory that guided this study was the constructivist theory. The constructivist learning theory involves people learning from their experiences…
Descriptors: Critical Thinking, Artificial Intelligence, Middle School Students, Public Schools
Sarah Kieferle; Iztok Devetak; Jane Essex; Sarah Hayes; Marina Stojanovska; Rachel Mamlok-Naaman; Silvija Markic – Journal of Chemical Education, 2024
Approaches for inclusive science teaching currently tend to focus on only one dimension of diversity at a time. This neglects the fact that diversity is multidimensional in nature, and the consideration of only one dimension of diversity can yield inclusive practices with limited scope. Therefore, the goal of the project "Diversity in Science…
Descriptors: Science Education, Inclusion, Informal Education, Foreign Countries
Melissa Sherfinski; Wen Juan Mo – Journal of Early Childhood Teacher Education, 2024
This hermeneutic-phenomenological study, following the work of van Manen, examines how kindergarten and elementary preservice teachers experienced practicum and student teaching in classrooms affected by the expansion of "adaptive learning" technology designed to assess children and personalize their learning. The researchers conducted…
Descriptors: Preservice Teachers, Assistive Technology, Elementary School Teachers, Individualized Instruction
Previous Page | Next Page »
Pages: 1 | 2