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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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Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
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Troisi, Jordan D. – Teaching of Psychology, 2023
Background: Psychology students can and sometimes do develop skills and career readiness in their courses, but these outcomes are rarely made explicit. Objective: This research jointly examines how two potential factors may improve student skills and career readiness: explicit instruction on skill development in an advanced laboratory course,…
Descriptors: Career Readiness, Individualized Instruction, Teaching Methods, Psychology
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Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
Djatmika, Ey Tri; Astutik, Pipit Pudji – Online Submission, 2023
This article aims to describe the mapping done by teachers in elementary schools regarding students' backgrounds before they apply differentiated instruction. Mapping students' backgrounds is very important considering the focus of attention from implementing differentiated instruction is alignment with student characteristics, so as to make…
Descriptors: Profiles, Student Characteristics, Individualized Instruction, Background
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