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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
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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
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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
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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
MaryBeth F. Paulisse – ProQuest LLC, 2024
This non-experimental quantitative study aimed to examine the relationship between principal coaching and principal job satisfaction. The study had two research questions: Is there a relationship between the coaching from central office administrators and principals' job satisfaction? Which coaching practices from central office administrators, as…
Descriptors: Principals, Coaching (Performance), Job Satisfaction, Central Office Administrators
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Barbara Jones; Molly Faulkner-Bond; Jennifer Blitz – Region 15 Comprehensive Center, 2024
This brief is part of a series that highlights key features of high-quality instruction for English learners and the role formative assessment plays in their success. Formative assessment supports teachers to enact these features by providing them with tools to gauge and react to student learning in real-time. These practices also support students…
Descriptors: Student Evaluation, Formative Evaluation, English Learners, Second Language Instruction
Lindsey Nicole Long – ProQuest LLC, 2024
The purpose of this study was to determine the impact, if any, the implementation of Personalized Learning (PL) would have on fourth-grade students in a rural public elementary school in the area of reading achievement, mastery, and progress. The study compared two cohorts of students. The control group received traditional learning reading…
Descriptors: Instructional Effectiveness, Reading Instruction, Individualized Instruction, Reading Achievement
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Jun Ai; Meiju Zhao; Sarah Behrens; Eva M. Horn – Journal of Behavioral Education, 2024
This study examined the effects of a professional development (PD) intervention on inservice teachers' use of embedded instruction practices within inclusive preschool classrooms. The results of a multiple baseline across participants design suggested the PD intervention was effective in increasing teachers' implementation fidelity of embedded…
Descriptors: Faculty Development, Preschool Teachers, Inclusion, Teaching Methods
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Jesennia Cárdenas-Cobo; Cristian Vidal-Silva; Lisett Arévalo; Magali Torres – Education and Information Technologies, 2024
The information society is part of current life, and algorithmic thinking and programming are relevant for everybody regardless of educational background. Today's world needs professionals with computing competencies from WEIRD (Western, Educated, Industrialized, Rich, and Democratic Societies) and non-WEIRD contexts. Traditional programming…
Descriptors: Programming, Skill Development, Competence, Artificial Intelligence
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Orit Avidov-Ungar, Editor – IntechOpen, 2024
This book explores the transformative potential of personalized learning in the digital era, presenting a comprehensive global perspective on innovative educational approaches across diverse settings--from early childhood and K-12 education to higher education. Through a combination of case studies and theoretical frameworks, contributors examine…
Descriptors: Individualized Instruction, Early Childhood Education, Elementary Secondary Education, Higher Education
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Gaheen, Marwa M.; ElEraky, Rania M.; Ewees, Ahmed A. – Education and Information Technologies, 2021
A personalized system of instruction is one of the strategies to personalize instruction. It is a technique that allows the student to move from one unit to another according to his own pace and his potential. Although this system is distinguished with activity and effectiveness to master the instructional subject, it lacks evaluation of the essay…
Descriptors: Automation, Essays, Scoring, Semitic Languages
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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
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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
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