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Desheng Yan; Guangming Li – Interactive Learning Environments, 2024
Smart education, with its intelligent, individualized, and technologized content, represents people's lofty expectations for future education. It provides a good learning platform for teaching and an important environment in which students' digital learning power can be developed in the context of the information technology era. Digital learning…
Descriptors: Electronic Learning, Information Technology, Artificial Intelligence, Educational Environment
Brandon L. Wright – Thomas B. Fordham Institute, 2024
America's reckoning with racial injustice and the pursuit of equity have led some public school systems to reduce or terminate (or at least question) special programs for high achievers, such as "gifted" education, honors courses, and selective high schools. Historically, such programs have served disproportionately few Black, Hispanic,…
Descriptors: High Achievement, Minority Group Students, Individualized Instruction, Educational Strategies
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
Jana Obrovská; Petr Svojanovský; Jana Kratochvílová; Katerina Lojdová; František Tuma; Katerina Vlcková – Journal of Education for Teaching: International Research and Pedagogy, 2024
This multi-sited ethnographic study explores how pre-service teachers (PSTs) address pupil diversity during their practicum at lower secondary schools and how this is facilitated by their participation in university courses. This investigation's focus on diversity is grounded in the concept of differentiated instruction. We found out that…
Descriptors: Individualized Instruction, Student Diversity, Preservice Teacher Education, Preservice Teachers
Betsy Lynn Ahearn – ProQuest LLC, 2024
Differentiated Instruction is the term used to describe a variety of strategies for successfully addressing student diversity in the classroom. It relies on the attitudes of teachers who aim to maximize learning for all students and is based on the use of assessment data to respond to student readiness, interest, and learning profile. Although…
Descriptors: Individualized Instruction, Student Diversity, Barriers, Evidence Based Practice
Nicole Almanzar – ProQuest LLC, 2024
The action-research study explores a district leader's experience implementing district-wide individualized learning plans (ILPs) and individualized instruction to enhance student outcomes in reading. The study utilizes collective leadership practices by collaborating with reading interventionists throughout. In addition, this study provides an…
Descriptors: Individualized Instruction, Reading Instruction, Intervention, Teaching Methods
Lixiang Xu; Zhanlong Wang; Suojuan Zhang; Xin Yuan; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive learning environments for personalized education. Despite utilizing deep learning models in KT, current approaches often oversimplify students' exercise records into knowledge sequences, which fail to explore the rich…
Descriptors: Knowledge Level, Educational Technology, Intelligent Tutoring Systems, Individualized Instruction
Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the use of artificial intelligence-based assessment systems in education and their impact on student achievement. AI technologies make the learning experience more compelling by monitoring and evaluating student performance through data analysis and machine learning, thereby individualizing the assessment process. This study…
Descriptors: Artificial Intelligence, Student Evaluation, Academic Achievement, Computer Uses in Education
Melanie Caughey; Leigh M. Tolley – AERA Online Paper Repository, 2024
Most pre-service educator preparation programs spend little to no time properly educating their teacher candidates about working with advanced learners (Rinn et al., 2022). Is there any hope their graduates will be prepared to work effectively with high-ability students? To explore this question, we are evaluating how common tools used in…
Descriptors: Preservice Teacher Education, Preservice Teachers, Advanced Students, Academically Gifted
Mohammed Estaiteyeh; Isha DeCoito – Teacher Educator, 2025
To promote inclusive practices in science, technology, engineering, and mathematics (STEM) classrooms, this research explores teacher candidates' (TCs') views and understandings of differentiated instruction (DI). The article addresses the following research questions: (1) What are intermediate-senior STEM TCs' initial views and understandings of…
Descriptors: STEM Education, Preservice Teachers, Student Attitudes, Individualized Instruction
Da-Lun Chen; Kirsi Aaltonen; Hannele Lampela; Jaakko Kujala – Technology, Knowledge and Learning, 2025
The breakthrough in generative artificial intelligence (AI) has unlocked new possibilities for higher education. There are many studies on educational chatbots in the fields of science, technology, engineering, and mathematics; however, studies on designing and leveraging chatbots in a multidisciplinary field like project management have been…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Burim Mexhuani – European Journal of Education, 2025
The digital transformation of higher education, driven by technological advancements and evolving societal needs, presents both significant opportunities and critical challenges. This study integrates the technology acceptance model (TAM), diffusion of innovations (DOI), comprehensive literature review, in-depth case studies and empirical survey…
Descriptors: Technology Uses in Education, Technology Integration, Higher Education, Electronic Learning
Puying Wang – European Journal of Education, 2025
Information technology contributes to the transformation of the learning process because it changes the traditional system of teaching, based on outdated methodologies. The paper examined the current technologies used in music education in the context of learning process improvements in China. A sociological survey was conducted using the Stapel…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Individualized Instruction
Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation
Danielle Shaw Attaway; Mimi Engel; Robin Jacob; Anna Erickson; Amy Claessens – Elementary School Journal, 2025
Kindergartners' math skills predict later academic outcomes. However, we know little about kindergarten mathematics instruction. Using data from 182 classroom observations in a large urban district, we explore time spent on mathematics and math content coverage. We also examine two underinvestigated aspects of kindergarten math instruction: (1)…
Descriptors: Kindergarten, Mathematics Instruction, Low Income Students, Socioeconomic Status

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