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Marco Pitzalis; Mariano Porcu – British Educational Research Journal, 2024
This article seeks to provide a clearer understanding of Digital Capital in education. It introduces a comprehensive analytical framework that explores the relationship between Digital Capital and Bourdieu's Cultural Capital Theory. Instead of treating digital skills and resources as separate entities, it integrates them into Cultural Capital…
Descriptors: Cultural Capital, Digital Literacy, Foreign Countries, Student Behavior
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Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
Attention to programming education from K-12 to higher education has been growing with the aim of fostering students' programming ability. This ability involves employing appropriate algorithms and computer codes to solve problems and can be enhanced through practical learning. However, in a formal educational setting, it is challenging to provide…
Descriptors: Foreign Countries, High School Freshmen, Programming, Artificial Intelligence
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Fang Xu; Nicholas A. Gage; Holly B. Lane; Valentina Contesse; Gentry O'Steen; Florence Bason – Reading & Writing Quarterly, 2025
Student engagement during reading instruction, including during small group and individualized intensive reading instruction, is critical for student success. If students are not engaged with instruction, they are not learning. This study examined student reading engagement during individualized intensive literacy tutoring in a summer reading…
Descriptors: Learner Engagement, Elementary School Students, Grade 1, Grade 2
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Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online learning activities. However, the application of online learning technologies in BL settings is particularly challenging for students with lower self-regulatory abilities. In this study, a personalized…
Descriptors: Individualized Instruction, Learning Analytics, Intervention, Academic Achievement
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
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Xiaohong Ji; Xin Liu; Xin Chen; Rong Li – Education and Information Technologies, 2025
Students classroom behaviours are complex and variable, involving multiple aspects such as students personality traits, learning attitudes, thinking styles and learning abilities, but traditional classroom behavioural assessment cannot comprehensively and reasonably assess students classroom learning status. The study adopts the improved Yolov5…
Descriptors: Student Behavior, Classroom Techniques, Artificial Intelligence, Identification
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Gibbs, Kathryn – Australian Educational Researcher, 2023
This paper investigates the challenges experienced by some Australian school educators in implementing differentiated instruction (DI) at a large secondary school. A small-scale study was conducted using individual, semi-structured interviews with teachers and school leaders. Using thematic analysis, three major themes were identified, namely:…
Descriptors: Individualized Instruction, Learning Experience, Secondary Schools, Program Implementation
Zachary Weingarten; Paul K. Steinle – National Center on Intensive Intervention, 2023
Data-based individualization (DBI) is a systematic approach to intensifying and individualizing interventions for students who require more support. Diagnostic data represent the third step in the DBI process. When progress monitoring data indicate that a student is not making adequate progress in an intervention, educators use diagnostic data to…
Descriptors: Data Use, Student Needs, Intervention, Individualized Instruction
Renea Coleman Ali – ProQuest LLC, 2024
The No Child Left Behind (NCLB) accountability era mandated that teachers accommodate students with varying backgrounds and skill levels. As additional mandates are being placed on educators a growing number of these professionals are assuming teacher-leader roles in order to keep up with the constantly changing demands of their increased…
Descriptors: Individualized Instruction, Secondary School Teachers, Teacher Attitudes, Influences
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Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
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Haslip, Michael J.; Terry, Neisha – Early Childhood Education Journal, 2023
This mixed methods study examines the relationship between different components and characteristics of individualized lesson plans and children's social-emotional outcomes to develop a profile of effective planning. Sixty-one individualized SEL lesson plans written and implemented by 20 experienced early childhood educators from a large city in…
Descriptors: Individualized Instruction, Lesson Plans, Social Emotional Learning, Outcomes of Education
Hamilton, Rebecca D. – ProQuest LLC, 2023
Teachers of students at the Skipping School are tasked with teaching their students to read while managing a host of complex emotions and behaviors that negatively impact the quantity and quality of their instruction. The purpose of this Action Research study was to examine and lessen existing barriers to effective reading instruction for teachers…
Descriptors: Reading Instruction, Barriers, Knowledge Base for Teaching, Curriculum
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Tracy L. Cross – Gifted Child Today, 2025
A list of 16 things the author believes about students with gifts and talents are described in this column. These beliefs stem from research that he and/or others have conducted or from his own personal experiences. In this column, he comments on each of these statements that he has come to believe are true.
Descriptors: Academically Gifted, Peer Acceptance, Peer Relationship, Student Attitudes
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Yanan Zhang; Ying Zhan; Zhi Hong Wan; Daner Sun – International Journal of Science Education, 2024
Formative assessment has been long emphasised as a powerful means for enhancing science learning. However, there is still a lack of research to investigate the impacts of formative assessment on both students' motivational beliefs and behaviours in science learning. This study examined such impacts using data from six Western and six East Asian…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Yi-Fan Li; Jue-Qi Guan; Xiao-Feng Wang; Qu Chen; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: Self-regulated learning (SRL) is a predictive variable in students' academic performance, especially in virtual reality (VR) environments, which lack monitoring and control. However, current research on VR encounters challenges in effective interventions of cognitive and affective regulation, and visualising the SRL processes using…
Descriptors: Electronic Learning, Individualized Instruction, Learning Processes, Performance
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