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Baginda Anggun Nan Cenka; Harry B. Santoso; Kasiyah Junus – Interactive Learning Environments, 2024
This study presents a panoramic overview of research conducted between 2010 and 2020 on how the Personal Learning Environment (PLE) supports Self-Regulated Learning (SRL). We elaborate on why the PLE is suitable for SRL, discuss its research themes, explain how the PLE supports SRL and outline the available PLE platforms. The review method we used…
Descriptors: Educational Environment, Self Management, Learning Strategies, Educational Research
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Ana Paula Juliana Perin; Deivid Eive dos S. Silva; Natasha M. C. Valentim – Informatics in Education, 2023
In Education 4.0, a personalized learning process is expected, and that students are the protagonist. In this new education format, it is necessary to prepare students with the skills and competencies of the 21st-Century, such as teamwork, creativity, and autonomy. One of the ways to develop skills and competencies in students can be through block…
Descriptors: Programming, High School Students, Learning, Learning Processes
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Gemma Tur; Linda Castañeda; Ricardo Torres-Kompen; Jeffrey P. Carpenter – Interactive Learning Environments, 2024
This article analyzes the relationship between self-regulated learning (SRL) and personal learning environments (PLE) in light of the educational academic literature of the decade 2010-2020. This study uses a systematized literature review followed by a qualitative analysis of the most cited literature to establish a narrative that highlights and…
Descriptors: Educational Environment, Self Management, Skills, Educational Research
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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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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
Editorial Projects in Education, 2024
Differentiated instruction emphasizes tailoring teaching methods to diverse learning styles, ensuring each student's unique needs are met and fostering a more inclusive and effective learning environment. This Spotlight will empower readers with tech advice for implementing effective accelerated learning; strategies for supporting students with…
Descriptors: Individualized Instruction, Educational Environment, Inclusion, Learning Strategies
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Hao Zhang; Shihan Chen; Sen Zheng – Education and Information Technologies, 2025
Based on the instructional interaction principles outlined by Chen and Wang (2016) in third-generation distance learning, this study employs a recursive logical perspective on the evolution of the theory of interaction in distance education. It constructs a structural equation model to measure the mediating utility path of the learner's proactive…
Descriptors: Personality Traits, Assertiveness, Interaction, Distance Education
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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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Kübra Eertan Sevk; Selay Arkun Kocadere – Journal of Theoretical Educational Science, 2024
This study explores the personalization of gamification in educational contexts, particularly adaptive approaches to meet diverse learner needs. The study examines terminologies and offer definitions for adaptive, tailored, personalized, and customized gamification. Personalization serves as an umbrella term covering any changes in the process.…
Descriptors: Literature Reviews, Gamification, Educational Environment, Media Adaptation
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Mustapha Riad; Mohammed Qbadou; Es-Saâdia Aoula; Soukaina Gouraguine – Journal of Education and Learning (EduLearn), 2023
E-learning has increased in popularity, especially during the COVID-19, due to its numerous advantages that allow learners to study anywhere and anytime. Therefore, recommending a list of the most appropriate learning objects for learners according to their specific needs is a great challenge for adaptive e-learning systems. In an e-learning…
Descriptors: Electronic Learning, COVID-19, Pandemics, Cognitive Style
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Ben Rebah, Hassen; Barthes, Didier; Carnus, Marie-France – Learning Environments Research, 2023
The growing ubiquity of web 2.0 has created a new paradigm shift from traditional education methods and strategies to student-centered Personal Learning Environment (PLE) methods and networks. The PLE is an emerging learning concept that relies on the student's personal needs and preferences to create an individualized and flexible learning…
Descriptors: College Students, Student Needs, Educational Technology, Individualized Instruction
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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
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Maxwell Peprah Opoku; Hala Elhoweris; Noora Anwahi; Negmeldin Alsheikh; Ashraf Mustafa; Wadima Al Dhaheri – Journal of Advanced Academics, 2025
Differentiation is recommended as the best teaching strategy to nurture gifted and talented (GT) students. While numerous studies have explored teachers' perceptions of differentiating instruction for GT students in Western countries, the body of literature on this phenomenon remains small in non-Western contexts. This study attempted to…
Descriptors: Individualized Instruction, Gifted Education, Educational Change, Academically Gifted
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Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
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Paquette, Gilbert; Marino, Olga; Bejaoui, Rim – Smart Learning Environments, 2021
Competency is a central concept for human resource management, training and education. We define a competency as the capacity of a person to display a generic skill with a certain level of performance when applied to one or more knowledge entities. Competencies, and competency referentials grouping competencies, are essential elements for user…
Descriptors: Competence, Individualized Instruction, Technology Uses in Education, Philosophy
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