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Littérature scientifique sur le sujet « Educational Personalization »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Educational Personalization"

Vorobchikova, E. O. "Personalization as a key principle of adult learning in digitalization conditions." Vestnik of Minin University 13, no. 1 (2025): 1. https://doi.org/10.26795/2307-1281-2025-13-1-1.

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Introduction. The article is devoted to the study of the principle of personalization and its application in the design of educational programs for adult learners. During the research scientific sources, experience and speeches of educational content developers were analyzed in order to clarify the interpretation of the term «personalization». The relevance of educational programs of additional professional education, including those implemented using distance learning technologies, is considered.Materials and methods. In the process of the research, the scientific literature was analyzed and

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Volkov, Aleksandr, Yury Rishko, Diana Boboshko, Evgeniya Eliseeva, Dmitrii Treistar, and Antonina Kulapova. "Multitrack Educational Programs as a Method of Educational Process Personalization at Universities." Education Sciences 14, no. 1 (2023): 22. http://dx.doi.org/10.3390/educsci14010022.

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This study analyzes the approach towards educational process organization at a university. We study existing practices of educational program personalization (and the relevant existing limitations) in the Russian system of university-level education. This study reviewed the general trends in university program personalization and performed an in-depth analysis of actual cases of personalized study plan implementation at Russian universities (we compared the declared objectives of such programs with their real-life implementation results). In this article, the authors also highlight the limitat

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Prasetya, Rizky Eka, and Novanda Alim Setya Nugraha. "ENGLISH EDUCATIONAL MOODLE-BASED ENVIRONMENT ON ACTUALIZING PERSONALIZATION VIRTUAL COURSE." Premise Journal of English Education 11, no. 2 (2022): 362. http://dx.doi.org/10.24127/pj.v11i2.4911.

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The study aims to explore, analyze, and determine the possibility of Moodle platform accommodating English learning personalization. The study applied a convergent parallel design mixed-method and was concerned with a quantitative survey and qualitative case study (deductive approach). The findings indicated and determined the personalization of English learning Moodle-based, and those elements included adjustable material and mechanism, concentrated instruction, component-based decisions, and English language learner observation. The adaptability Moodle system accommodated the personalization

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Dinets, D. A., and N. S. Mikhailova. "The possibilities of individualization of the educational trajectory for persons with secondary vocational education while continuing their studies at the university." Transport Technician: Education and Practice 4, no. 3 (2023): 266–72. http://dx.doi.org/10.46684/2687-1033.2023.3.266-272.

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The reform of the modern education system involves a paradigm shift in education, where the focus is on the development of personal creative abilities. Special attention is given to the search for individual self-determination of students, creating conditions for their full development and self-realization, and organizing the learning process according to their needs and abilities. In this context, educational organizations need to change the organization of the educational process and implement innovative personal-oriented technologies and tools for managing the educational process.The goal o

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Lorsanova, Zarina M., Khalid Z. Mantaev, and Madina Dz Gochiyaeva. "THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON THE INDIVIDUALIZATION OF THE EDUCATIONAL PROCESS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/5, no. 153 (2024): 199–204. https://doi.org/10.36871/ek.up.p.r.2024.12.05.023.

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This article is devoted to issues related to the impact of artificial intelligence technologies on the personalization of the educational process. It is proved that such a direction as personalization throughout the entire development of the educational process is the most effective way to organize high-quality education for any student. The analysis of the current state of education and the use of artificial intelligence programs in the educational process is carried out. The main advantages and capabilities of artificial intelligence are presented, which it is possible to implement and activ

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Kupina, Liudmyla, Nataliia Kobyzhcha, Tetiana Behal, Halyna Nikolaiko, and Vadym Dniprenko. "Theoretical foundations of personification for university educational activities during pandemic." International journal of health sciences 6, no. 1 (2022): 68–80. http://dx.doi.org/10.53730/ijhs.v6n1.3236.

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The purpose of the article is to analyze modern literature in the direction of the personification of the educational process in Ukraine, to develop the theoretical foundations for the personification of the educational activities of the university in a pandemic using research methods were used to solve the set tasks: theoretical (study and analysis of scientific and pedagogical, psychological and pedagogical, reference, specialized literature, regulatory documentation on the topic of research, additional professional advanced training programs; analysis, comparison, classification of the info

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Beese, Elizabeth Brott. "A process perspective on research and design issues in educational personalization." Theory and Research in Education 17, no. 3 (2019): 253–79. http://dx.doi.org/10.1177/1477878519893963.

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This article proposes that educational personalization may be usefully understood from a process perspective. It defines educational personalization as that which occurs within any planning or decision-making process which runs for one student at a time, and uses information from or about individual students, in order to output educational plans and decisions for them. Importantly, understanding personalization as a process illuminates what it is that we design when we design for personalized education (that is, planning and decision-making processes) – and helpfully suggests familiar process-

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Terzieva, Valentina, Boyan Bontchev, Yavor Dankov, and Elena Paunova-Hubenova. "How to Tailor Educational Maze Games: The Student’s Preferences." Sustainability 14, no. 11 (2022): 6794. http://dx.doi.org/10.3390/su14116794.

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Personalized learning has gained in popularity over the past decade. It provides learners with learning resources that comply with their characteristics and preferences or offers them tasks and quizzes adapted to their performance. This research presents how we apply this concept to an educational video maze game created and generated on the APOGEE platform. In particular, this article explores the following three research questions: (1) Which characteristics in the student’s model should be considered for the personalization of educational video games? (2) What are the student’s preferences r

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Martynenko, Svitlana. "THE PROBLEM OF PERSONALIZATION AND PERSONIFICATION OF PROFESSIONAL TRAINING AND ITS IMPLEMENTATION IN HIGHER EDUCATION INSTITUTIONS AS A NEED OF TIME." Education: Modern Discourses, no. 4 (December 20, 2021): 164–68. http://dx.doi.org/10.37472/2617-3107-2021-4-16.

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Professional training in the context of reforming the educational sphere acquires new aspects and forms of implementation of educational programs, taking into account the personality-oriented trajectory of individual professional growth of each subject in the educational process. The solution to the problem is relevant in our time: what is important in the process of personal and professional development – personalization or personification of the educational process? The paper reflects the features of personalization and personification of specialists’ professional training, discloses and cla

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Graf, Alex. "Exploring the Role of Personalization in Adaptive Learning Environments." International Journal Software Engineering and Computer Science (IJSECS) 3, no. 2 (2023): 50–56. http://dx.doi.org/10.35870/ijsecs.v3i2.1200.

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: In recent years, the integration of technology in education has sparked interest in enhancing learning experiences. Adaptive learning environments, which customize educational content and strategies to individual learners, offer a promising approach. Personalization within adaptive learning environments is crucial for addressing learner diversity and maximizing engagement and learning outcomes. This research project aims to explore the role of personalization in adaptive learning environments and its impact on the user experience and educational outcomes. By investigating the effectiveness o

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Thèses sur le sujet "Educational Personalization"

Gibbs, Nichole. "The Impact of Personalization-Based Tailored Instructional Communications on College Student Persistence." Thesis, Walden University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3563325.

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The low graduation rate of degree-seeking students at public community colleges is an important crisis facing communities across the United States. College satisfaction and withdrawal cognitions in students have been identified as key factors in college persistence by researchers. However, a review of the literature revealed no study in which a college-persistence intervention based on the personalization principle theory or using tailored messages has been conducted. The purpose of this study was to test the effectiveness of a college-persistence intervention, based on the personalization

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Gibbs, Nichole. "The Impact of Personalization-Based Tailored Instructional Communications on College Student Persistence." ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1062.

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The low graduation rate of degree-seeking students at public community colleges is an important crisis facing communities across the United States. College satisfaction and withdrawal cognitions in students have been identified as key factors in college persistence by researchers. However, a review of the literature revealed no study in which a college-persistence intervention based on the personalization principle theory or using tailored messages has been conducted. The purpose of this study was to test the effectiveness of a college-persistence intervention, based on the personalization pri

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Abou-Khalil, Victoria. "Supporting Learner Centered Vocabulary Learning in Informal Learning Environments." Kyoto University, 2020. http://hdl.handle.net/2433/253413.

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付記する学位プログラム名: デザイン学大学院連携プログラム Kyoto University (京都大学) 0048 新制・課程博士 博士(情報学) 甲第22577号 情博第714号 新制||情||122(附属図書館) 京都大学大学院情報学研究科社会情報学専攻 (主査)教授緒方広明, 教授守屋和幸, 教授黒田知宏 学位規則第4条第1項該当

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McCarty, Terrell Dwayne. "Planning and developing advisory programs for the personalization of education: a handbook to guide school leaders of large high schools in Kansas." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18248.

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Doctor of Education Department of Educational Leadership Trudy A. Salsberry The purpose of this study was to research and create a comprehensive handbook for planning and developing advisory programs for the personalization of education. This is known as personalized learning. Personalized learning refers to the structures, policies, and practices that promote relationships based on mutual respect, trust, collaboration, and support (Breunlin, Mann, Kelly, Cimmarusti, Dunne, & Lieber, 2005). Planning and Developing Advisory Programs for the Personalization of Education: A Handbook to

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Holder, David E. "Heard but not seen: Instructor-led video and its effect on learning." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9090/.

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Educators and instructional designers are seeking ways to increase levels of learning. One of the ways this is being done is through cognitive load theory which attempts to reduce cognitive load through a better understanding of working memory and the factors that impact its function. Past studies have found that working memory processes visual and auditory information using separate and non-sharable resources (dual coding theory) and that by properly utilizing multimedia elements, information processing in working memory is more efficient (multimedia learning). What is not known is the effe

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Hajri, Hiba. "Personnalisation des MOOC par la réutilisation de Ressources Éducatives Libres." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC046/document.

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La personnalisation de l’apprentissage dans les environnements informatiques pour l’apprentissage humain (EIAH) est un sujet de recherche qui est traité depuis de nombreuses années. Avec l’arrivée des cours en ligne ouverts et massifs (MOOC), la question de la personnalisation se pose de façon encore plus cruciale et de nouveaux défis se présentent aux chercheurs. En effet, le même MOOC peut être suivi par des milliers d’apprenants ayant des profils hétérogènes (connaissances, niveaux éducatif, objectifs, etc). Il devient donc nécessaire de tenir compte de cette hétérogénéité en présentant aux

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Vu, Manh Vu Duy. "Online Education : A study about students motivations and personalization." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43479.

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Because of the pandemic Coronavirus and proposals from the Swedish Public Health Agency, schools in Sweden had to adjust their teaching to distance education. The purpose of this study is to study students' motivation, understand what is inspiring for students, many students lack inspiration. Personalization in education, what kind of support could we give the students. Understand personalization from the students perspective different students need different help, make the students feel like they get personalized help. Hands on, how do we apply things that are theoretical to the practical. Th

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Lang, Charles WM. "Personalization Through the Application of Inverse Bayes to Student Modeling." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:16461031.

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Personalization, the idea that teaching can be tailored to each students’ needs, has been a goal for the educational enterprise for at least 2,500 years (Regian, Shute, & Shute, 2013, p.2). Recently personalization has picked up speed with the advent of mobile computing, the Internet and increases in computer processing power. These changes have begun to generate more and more information about individual students that could theoretically be used to power personalized education. The following dissertation discusses a novel algorithm for processing this data to generate estimates of individual

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Meloro, Phyllis C. "Do high school advisory programs promote personalization? : correlates of school belonging /." View online ; access limited to URI, 2005. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3188841.

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Brodie, Beth S. "Perceptions of the Impact of High School Advisory on Academic Success, Connectdness and Personalization of Education." ScholarWorks @ UVM, 2014. http://scholarworks.uvm.edu/graddis/248.

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Public education is a cornerstone of our democracy and social advancement. However, current Vermont graduation rates would indicate that public education at the high school level does not address the needs of all twenty-first century learners. Research has revealed that personalization and creating a connected environment are promising innovations for improving education for all students. One structure that supports personalization, high school advisory, provides each student with an adult advisor that knows them well through their high school years. This research on high school advisory in Ve

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Livres sur le sujet "Educational Personalization"

Hermans, Hubert J. M., and Rob Bartels. Citizenship Education and the Personalization of Democracy. Routledge, 2020. http://dx.doi.org/10.4324/9781003031116.

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Constantinos, Mourlas, Tsianos Nikos, and Germanakos Panagiotis, eds. Cognitive and emotional processes in Web-based education: Integrating human factors and personalization. Information Science Reference, 2009.

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Daradoumis, Thanasis. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Springer Berlin Heidelberg, 2012.

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Rubin, Shawn C., and Cathy Sanford. Pathways to Personalization: A Framework for School Change. Harvard Education Publishing Group (HEPG), 2018.

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Rubin, Shawn C., and Cathy Sanford. Pathways to Personalization: A Framework for School Change. Harvard Education Press, 2018.

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Kucirkova, Natalia. Digital Personalization in Early Childhood: Impact on Childhood. Bloomsbury Publishing Plc, 2017.

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Kucirkova, Natalia. Digital Personalization in Early Childhood: Impact on Childhood. Bloomsbury Academic, 2017.

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Kucirkova, Natalia. Digital Personalization in Early Childhood: Impact on Childhood. Bloomsbury Publishing Plc, 2017.

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Colpaert, Jozef, and Glenn Stockwell, eds. Smart CALL: Personalization, Contextualization, & Socialization. Castledown Publishers, 2022. http://dx.doi.org/10.29140/9781914291012.

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This book brings together some thought-provoking papers around the theme of “Smart CALL.” The term “smart” nowadays means “connected to and exchanging information with other devices.” The contributions in this volume focus on a more human-centered perspective, namely the definition of smartness in terms of three qualities or dimensions: personalization (adaptation to the learner and the teacher), contextualization (adaptation to the sociocultural, educational, and geotemporal context of the learner) and socialization (the extent to which CALL stimulates interaction and relatedness between the

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Beaudoin, Nelson. School for Each Student: High Expectations in a Climate of Personalization. Taylor & Francis Group, 2017.

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Chapitres de livres sur le sujet "Educational Personalization"

Pero, Štefan. "Modeling Programming Skills of Students in an Educational Recommender System." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38844-6_49.

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Sweta, Soni. "Personalization Based on Learning Preference." In Modern Approach to Educational Data Mining and Its Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4681-9_6.

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Terzieva, Valentina, Elena Paunova-Hubenova, and Boyan Bontchev. "Personalization of Educational Video Games in APOGEE." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53294-9_34.

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Dhaiouir, Ilham, Mostafa Ezziyyani, and Mohamed Khaldi. "The Personalization of Learners’ Educational Paths E-learning." In Networking, Intelligent Systems and Security. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3637-0_37.

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Chine, Danielle R., Cassandra Brentley, Carmen Thomas-Browne, et al. "Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11644-5_30.

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Schachter, Christel. "Intelligenza Artificiale in Higher Education: applicazioni, sfide e rischi." In Studies on Adult Learning and Education. Firenze University Press, 2024. http://dx.doi.org/10.36253/979-12-215-0504-7.35.

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This contribution represents a synthesis of the literature review conducted on the topic of Artificial Intelligence (AI) in Higher Education, with particular attention to orientation and human learning processes. The analysis has identified two main macro-themes. The first focuses on the current state of the art and future prospects of AI usage in Higher Education, distinguishing between technical and technological approaches and those more pedagogical in nature. Possible benefits emerge - such as increased personalization of orientation, teaching, and learning - although widespread adoption i

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Moore, Michael Grahame. "From Correspondence Education to Online Distance Education." In Handbook of Open, Distance and Digital Education. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-2080-6_2.

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AbstractThis chapter is about the history of open, distance, and digital education, with the primary focus on its evolving in the USA and Great Britain. A selection of key developments, trends, and players of more than 150 years includes reference to the nineteenth century correspondence schools, the American Land Grant universities, the pedagogical revolution in Charles Wedemeyer’s Articulated Instructional Media project, and its influence on the teaching model developed in the UK’s Open University. Brief coverage is included of the history of educational radio and television, the early compu

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Avidov-Ungar, Orit, and Sara Zamir. "Personalization in Education." In Metacognition in Learning - New Perspectives [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.113380.

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In today’s increasingly competitive world, the concept of “one-size-fits-all” has become anachronistic and unproductive. Today’s reality requires educational organizations to rethink the services they give to meet students’ individual needs, as well as the ways available to enable them to reach their full potential. The current review aims to examine the most recent studies on the subject including the doubts, tensions, and ambiguities they raise.

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Tariq, Muhammad Usman. "Navigating the Personalization Pathway." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3641-0.ch012.

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This chapter delves into the revolutionary potential of adaptive learning technologies (ALTs) within the realm of higher education, with a particular focus on their ability to tailor growth opportunities to diverse student needs. Against the backdrop of evolving higher education landscapes characterised by technological advancements and shifting student demographics, ALTs emerge as crucial enablers of flexible, student-centered learning environments. The discussion explores the fundamental principles of adaptive learning, encompassing key concepts, theories, and the theoretical foundations tha

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Actes de conférences sur le sujet "Educational Personalization"

Glushkova, Todorka Atanasova, Evgeni Vladimirov Valchev, and Irina Krasimirova Krasteva. "Personalization of Lifelong Learning in School Educational Platform." In 2024 International Conference on Information Technologies (InfoTech). IEEE, 2024. http://dx.doi.org/10.1109/infotech63258.2024.10701358.

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Jebara, Hadeel, Mamoun Nawahdah, and Hadeel Sawalha. "EMOTION RECOGNITION IN EDUCATIONAL CHATBOTS: GUIDELINES FOR ENHANCING ENGAGEMENT AND PERSONALIZATION." In 19th International Technology, Education and Development Conference. IATED, 2025. https://doi.org/10.21125/inted.2025.1537.

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Kiriakos, Dimitrios, Dimitrios Kotsifakos, and Yannis Psaromiligkos. "Assessment and modeling of augmented reality applications for the management and automation of systems operating in real spaces: an innovative pedagogical proposal for the educational structures and standards of Vocational Education and Training in Greece." In 2024 19th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP). IEEE, 2024. https://doi.org/10.1109/smap63474.2024.00043.

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Al Balushi, Maha Yaqoob, and Alia Salim Al Harthi. "Adaptive Learning Pathways: Advancing Personalization in Online Education Platforms." In 2024 2nd International Conference on Computing and Data Analytics (ICCDA). IEEE, 2024. https://doi.org/10.1109/iccda64887.2024.10867273.

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Chaudhari, Aarti, and Shital Hajare. "AI-Powered Personalization in E-Commerce." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842768.

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Ibrahim, Hazem, and Walid Ibrahim. "Gamification in Online Educational Systems." In Sixth International Conference on Higher Education Advances. Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/head20.2020.11238.

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The usage of gamification in online educational systems has grown considerably over the last several decades. This has been in response to reports of low completion and retention rates in online educational systems such as MOOCs. The usage of gamification and the application of social and educational networking to online education systems has been found to increase student satisfaction with the system. However, it has been shown that as students become more familiar with the gamified educational system, the initial boost in motivation diminishes. Efforts made in order to increase the personali

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Araujo, Rafael D., Taffarel Brant-Ribeiro, Renan G. Cattelan, Sandra A. de Amo, and Hiran N. M. Ferreira. "Personalization of Interactive Digital Media in Ubiquitous Educational Environments." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.675.

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Pustovalova, Natalya V., Tatiana V. Avdeenko, and Alexandra V. Pustovalova. "University’s Educational Environment Personalization Based on the Ontological Models." In 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials (EDM). IEEE, 2022. http://dx.doi.org/10.1109/edm55285.2022.9855106.

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López, Juan, Ana Franzoni, and Guillermo García-Torales. "PERSONALIZATION OF EDUCATIONAL RESOURCES, A PROPOSAL ON THE WEB." In 16th International Technology, Education and Development Conference. IATED, 2022. http://dx.doi.org/10.21125/inted.2022.1301.

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GASNAŞ, Ala. "Methods of integrating IA in STEAM education." In "Higher education: traditions, values, perspectives", international scientific conference. Ion Creangă Pedagogical State University, 2024. https://doi.org/10.46727/c.27-28-09-2024.p336-341.

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Artificial intelligence is increasingly present in various aspects of our lives, including education. These technologies bring numerous benefits and opportunities to optimize activities and tasks within the educational process. This article explores how AI technologies can be integrated into STEAM based activities and how they can enhance personalization, accessibility, and interactivity in education.

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Rapports d'organisations sur le sujet "Educational Personalization"

Marienko, Maiia V., Yulia H. Nosenko, and Mariya P. Shyshkina. Personalization of learning using adaptive technologies and augmented reality. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4418.

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The research is aimed at developing the recommendations for educators on using adaptive technologies and augmented reality in personalized learning implementation. The latest educational technologies related to learning personalization and the adaptation of its content to the individual needs of students and group work are considered. The current state of research is described, the trends of development are determined. Due to a detailed analysis of scientific works, a retrospective of the development of adaptive and, in particular, cloud-oriented systems is shown. The preconditions of their ap

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Spirin, Oleg, and Mariia Shyshkina. Artificial Intelligence in Education and Educational Research: Challenges, Risks, and Prospects for Integration. Institute for Digitalisation of Education of the NAES of Ukraіne, 2025. https://doi.org/10.33407/lib.naes.id/eprint/745119.

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Artificial intelligence (AI) is playing an increasingly important role in education, contributing to the personalization of learning, the automation of administrative processes and educational research. The use of AI allows for increased learning efficiency, improved management of educational resources and improved analytics of educational data. However, the integration of AI into education is accompanied by challenges related, in particular, to technical limitations, pedagogical risks, ethical aspects and security issues. Future research should focus on the integration of AI and augmented and

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Sierra Noakes, Sierra Noakes, Alison Shell, Alexis M. Murillo, et al. An Ethical and Equitable Vision of AI in Education: Learning Across 28 Exploratory Projects. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/232.

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This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for cross-disciplinary and collective problem-solving, and consider the potential for each sector to drive forward an equitable future for AI in education. Preliminary findings from these projects show early evidence of AI’s effectiveness in various tasks, in

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Talukder, Noor Mohammad, and Wahid bin Ahsan. The Impact of AI on Student Engagement in Virtual Learning within Bangladesh’s Higher Education Sector. Userhub, 2025. https://doi.org/10.58947/journal.jtgx34.

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This study examines the impact of Artificial Intelligence (AI) on student engagement in virtual learning environments within Bangladesh’s higher education sector, using a mixed-methods approach. The research integrates qualitative interviews with educators, students, and IT professionals, alongside a quantitative survey of 97 university students. Findings reveal that AI enhances academic performance by improving efficiency and simplifying complex tasks. However, concerns about over-reliance on AI, diminished critical thinking skills, and data privacy issues were prominent. Technical challenges

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Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, et al. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, 2020. http://dx.doi.org/10.31812/123456789/4633.

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In modern conditions, innovative augmented reality technologies are actively developing, which are widespread in many areas of human activity. Introduction of advanced developments in the process of professional training of future specialists of socionomic professions in the conditions of adaptive training, contributes to the implementation of the principles of a personalized approach and increase the overall level of competitiveness. The relevant scientific article is devoted to the theoretical and empirical analysis result of conducting a psychodiagnostic study on an innovative computer comp

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