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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
Cindi Lynn Van Petten – ProQuest LLC, 2024
The problem under investigation in this qualitative study was teachers' inconsistent implementation of differentiated instructional strategies when teaching students of low socioeconomic status. The purpose of this qualitative study was to investigate how elementary teachers implement differentiated instructional strategies to support students of…
Descriptors: Individualized Instruction, Teaching Methods, Elementary School Teachers, Low Income Students
Mariel Anne Farrar Werner – ProQuest LLC, 2024
When multiple clients are collaboratively learning and training a shared model, incentives problems can arise. The clients may have different learning objectives and application domains, or they may be competitors whose participation in the learning system could reduce their competitive advantage. While collaborative learning is a powerful…
Descriptors: Cooperative Learning, Alignment (Education), Educational Objectives, Incentives
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Alexis Lebis; Jérémie Humeau; Anthony Fleury; Flavien Lucas; Mathieu Vermeulen – International Journal of Artificial Intelligence in Education, 2024
The personalization of curriculum plays a pivotal role in supporting students in achieving their unique learning goals. In recent years, researchers have dedicated efforts to address the challenge of personalizing curriculum through diverse techniques and approaches. However, it is crucial to acknowledge the phenomenon of student forgetting, as…
Descriptors: Individualized Instruction, Curriculum Development, Curriculum Implementation, Memory
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Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
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Paraskevi Topali; Ruth Cobos; Unai Agirre-Uribarren; Alejandra Martínez-Monés; Sara Villagrá-Sobrino – Journal of Computer Assisted Learning, 2024
Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…
Descriptors: Learning Analytics, MOOCs, Feedback (Response), Intervention
Kristin M. Shapiro – ProQuest LLC, 2024
Advanced Placement classes are introductory college courses taught in high school. Over 60% of all secondary gifted programs report utilizing AP classes as part of their program offerings (Callahan et al., 2017). Despite the prevalence of AP courses, there is no exact match between this particular type of programming and the needs of gifted…
Descriptors: Advanced Placement Programs, Academically Gifted, Individualized Instruction, Rural Schools
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DongMei Xu – International Journal of Information and Communication Technology Education, 2024
With the rapid development of Internet technology, distance online education and training is becoming an important part of the education and training market. Based on the theory of perceived value, taking the distance online education and training platform as the research object, this paper establishes a sample database, analyzes the reliability,…
Descriptors: Distance Education, Electronic Learning, Parent Attitudes, Educational Quality
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Rafael Alé-Ruiz; Fernando Martínez-Abad; María Teresa del Moral-Marcos – Education and Information Technologies, 2024
The flexible, changing, and uncertain nature of present-day society requires its citizens have new personal, professional, and social competences which exceed the traditional knowledge-based, academic skills imparted in higher education. This study aims to identify those factors associated with active methodologies that predict university…
Descriptors: Learner Engagement, Individualized Instruction, Active Learning, Higher Education
Seyma Birinci – ProQuest LLC, 2024
The purpose of this study was to explore how teachers engaged in data use for instructional decision making. A grounded theory research design was used to analyze interviews of 10 special education teachers. Special education teachers were asked to complete an online survey and were interviewed with questions to reveal their experiences with…
Descriptors: Individualized Instruction, Decision Making, Data Use, Special Education Teachers
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Rita DiLeo – International Journal on Social and Education Sciences, 2024
Diverse student populations with varying learning skills and linguistic barriers exist throughout elementary and higher education settings. Poorer learning outcomes are observed when students are not engaged or motivated to learn. This study aimed to determine techniques used in the classroom such as discussion and debate, research and inquiry or…
Descriptors: Individualized Instruction, Teaching Methods, Student Diversity, Small Group Instruction
Erika B. Lewy – MDRC, 2024
In postsecondary research, comprehensive approaches to student success (CASS) programs are shown to have the greatest impact on student outcomes. At the core of a CASS program is personalized and proactive coaching in which coaches actively reach out to students and meet to discuss personal and academic issues. MDRC's evaluation of one CASS…
Descriptors: Coaching (Performance), College Students, College Programs, Academic Achievement
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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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Yung-Ming Cheng – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether gamification and personalization as environmental stimuli to learners' learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs) and, in turn, their learning…
Descriptors: MOOCs, Gamification, Learner Engagement, Academic Persistence
Meghan Jacquelynn Malloy – ProQuest LLC, 2024
While systems of support are used in schools to assist students' academic growth, parents are not always informed of the support process or the academic goals set for their child (RTI Action Network, n.d.; Troisi, 2014; Weingarten et al., 2020). In the aftermath of the pandemic, students present a wide variety of academic needs (Lewis et al.,…
Descriptors: Parent Attitudes, Parent Participation, Advocacy, Literacy
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