Relevant bibliographies by topics / Personalised learning approach

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personalised learning approach'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Personalised learning approach"

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Apoki, Ufuoma Chima, and Gloria Cerasela Crisan. "A Modular and Semantic Approach to Personalised Adaptive Learning: WASPEC 2.0." Applied Sciences 12, no. 15 (2022): 7690. http://dx.doi.org/10.3390/app12157690.

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The ubiquity of smart devices and intelligent technologies embedded in e-learning settings fuels the drive to tackle the grand challenge of personalised adaptive learning. Personalised adaptive learning, which combines the core concepts of personalised learning and adaptive learning, attempts to take individual needs and features into account for personal development through adaptive adjustment. Personalised adaptive learning is supported at its heart by efficient real-time monitoring of the learning process and robust managerial capabilities, which are driven by data, as well as human intuiti
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Maseleno, Andino, Noraisikin Sabani, Miftachul Huda, Roslee Ahmad, Kamarul Azmi Jasmi, and Bushrah Basiron. "Demystifying Learning Analytics in Personalised Learning." International Journal of Engineering & Technology 7, no. 3 (2018): 1124. http://dx.doi.org/10.14419/ijet.v7i3.9789.

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This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is defined as a way to measure, collect, analyse and report data about learners and their context, for the purpose of understanding and optimizing learning. The paper concludes by highlighting framework of learning analytics in order to improve personalised learning. In addition, it is an endeavour to define the characterising features that represents the relat
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Sanderson, James, and Nicola Hawdon. "Ensuring a personalised approach." Advances in Mental Health and Intellectual Disabilities 13, no. 1 (2019): 15–24. http://dx.doi.org/10.1108/amhid-03-2018-0010.

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Purpose The purpose of this paper is to outline how personal health budgets and a universal, integrated model of support, can positively transform the way in which individuals with a learning disability experience their health and support needs. Design/methodology/approach The review recognises that Integrated Personal Commissioning, as a policy approach, provides the framework to offer personalised care, and enables people to live an independent, happy, healthy and meaningful life. Findings Evidence suggests that a personalised and integrated approach to both health and social care not only o
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Fitzgerald, Rachel, Eliza Rossiter, and T. J. Thompson. "A Personalized Approach to Learning Across Time and Space." European Conference on e-Learning 21, no. 1 (2022): 105–10. http://dx.doi.org/10.34190/ecel.21.1.901.

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In a higher education environment massively disrupted by the pandemic, the importance of exploring the efficacy of purposeful, flexible, online learning is essential. Research shows that blended approaches to learning can be active, flexible, and student-centred. However, this research suggests that without human intervention or a bespoke context, there can also be very poor engagement. As such, this study presents the successes and challenges of introducing a personalised mobile-learning resource in a supported, personalized environment. The resource was designed and developed in 2019 and int
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Sabani, Noraisikin, Glenn Hardaker, Aishah Sabki, and Sallimah Salleh. "Understandings of Islamic pedagogy for personalised learning." International Journal of Information and Learning Technology 33, no. 2 (2016): 78–90. http://dx.doi.org/10.1108/ijilt-01-2016-0003.

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Purpose – The purpose of this paper is to explore what is believed to be a deep connection between Islamic pedagogy as a way to cultivate personal learning experiences. The paper discusses the relationship between the characterising features of Islamic pedagogy and personalised learning that remains central to Islamic institutional developments. The paper concludes by highlighting the importance of the embodiment of knowledge in Islamic pedagogy for personalised learning. Design/methodology/approach – The endeavours to define the characterising features that represents the relationship between
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Luo, Xinyang. "Learning Analytics Based on Big Data: Student Behavior Prediction and Personalized Educational Strategy Formulation." Applied and Computational Engineering 100, no. 1 (2024): 7–13. http://dx.doi.org/10.54254/2755-2721/100/20251732.

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Abstract: Learning analytics have become a game-changer in education by using big data to analyse student behaviours, predict student outcomes and provide personalised interventions. This paper outlines the main components in learning analytics including data collection, predictive modelling and personalised educational strategies. It demonstrates how predictive models can be used to identify at-risk students and why real-time feedback can keep students engaged and motivated. Two case studies and examples of the data are used to illustrate how institutions can shift from reactive to proactive
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Luo, Xinyang. "Learning Analytics Based on Big Data: Student Behavior Prediction and Personalized Educational Strategy Formulation." Applied and Computational Engineering 116, no. 1 (2024): 7–13. https://doi.org/10.54254/2755-2721/116/20251732.

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Learning analytics have become a game-changer in education by using big data to analyse student behaviours, predict student outcomes and provide personalised interventions. This paper outlines the main components in learning analytics including data collection, predictive modelling and personalised educational strategies. It demonstrates how predictive models can be used to identify at-risk students and why real-time feedback can keep students engaged and motivated. Two case studies and examples of the data are used to illustrate how institutions can shift from reactive to proactive mode using
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Van Es, Marijke. "Learning podium for experience ‘An Integrated Personalised Care Approach." International Journal of Integrated Care 21, S1 (2021): 237. http://dx.doi.org/10.5334/ijic.icic20417.

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Eap, Ty Mey, Dragan Gasevic, N. A. Kinshuk, and Fuhua (Oscar) Lin. "Personalised mobile learning content delivery: a learner centric approach." International Journal of Mobile Learning and Organisation 3, no. 1 (2009): 84. http://dx.doi.org/10.1504/ijmlo.2009.023054.

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Alsobhi, Aisha Yaquob, Nawaz Khan, and Harjinder Rahanu. "Personalised Learning Materials Based on Dyslexia Types: Ontological Approach." Procedia Computer Science 60 (2015): 113–21. http://dx.doi.org/10.1016/j.procs.2015.08.110.

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Dissertations / Theses on the topic "Personalised learning approach"

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Yarandi, Maryam. "Semantic rule-based approach for supporting personalised adaptive e-learning." Thesis, University of East London, 2013. http://roar.uel.ac.uk/3503/.

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Instructional designers are under increasing pressure to enhance the pedagogical quality and technical richness of their learning content offerings, while the task of authoring for such complex educational frameworks is expensive and time consuming. Personalisation and reusability of learning contents are two main factors which can be used to enhance the pedagogical impact of e-learning experiences while also optimising resources, such as the overall cost and time of designing materials for different e-learning systems. However, personalisation services require continuous fine tuning for the d
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Webster, Ray. "A reflective and participatory approach to the design of personalised learning environments." Thesis, Lancaster University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431416.

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Sheth, Beerud Dilip. "A learning approach to personalized information filtering." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/37998.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.<br>Includes bibliographical references (leaves 96-100).<br>by Beerud Dilip Sheth.<br>M.S.
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BASSANI, ELIAS. "Neural Approaches to Personalized Search." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404515.

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I recenti progressi nella ricerca sulle Artificial Neural Networks (reti neurali) hanno fatto avanzare lo stato dell'arte in molti task legati al linguaggio, tra cui l'Information Retrieval, offrendo nuove opportunità per rappresentare e sfruttare le informazioni relative all'utente durante la personalizzazione. Tuttavia, la loro applicazione nel contesto della Personalized Search è ancora un'area di ricerca aperta, con molte questioni e sfide da affrontare. In questa tesi, ci concentriamo sulla rappresentazione delle preferenze dell'utente da più prospettive, sulla gestione e sulla selezione
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Nori, Nozomi. "Machine Learning Approaches for Personalized Clinical Risk Modeling." 京都大学 (Kyoto University), 2017. http://hdl.handle.net/2433/225729.

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Fanning, James. "Does the use of a learning platform support approaches to personalised learning in the classroom?" Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/39402/.

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Much of the research literature relating to the use of virtual learning environments (VLEs) to support teaching and learning focuses on their use in higher and further education. This thesis makes a contribution to the study of such environments in relation to secondary schools in the UK. A number of common themes were identified from the literature review that was part of my original critical analytical study and which is updated here. The themes included assessment, differentiation, collaboration and flexible learning practices. These were investigated in one school, over the course of one y
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Salewski, Katja. "Museum Personalized : The impact of floor staff on an exhibition - A holistic approach." Thesis, Högskolan Dalarna, Vetenskapskommunikation, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:du-2534.

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The current paper presents a study conducted at The National Museum of Science and Technology in Stockholm to investigate the exhibition “Antarctica – that’s cool” from its first concept to the first workshop that is held in the exhibition. The focus is on the influence of floor staff on an exhibition and workshops as learning facilities in museums. Findings, based on visitor observation and the exhibition building process, go into the characteristics of low-budget productions and discuss the importance of staff on the exhibition floor for museums as life-long learning facilities. The holistic
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Nguyen, Thi Hong Hanh [Verfasser]. "Recommending Tags for Images: Deep Learning Approaches for Personalized Tag Recommendation / Thi Hong Hanh Nguyen." Hildesheim : Universität Hildesheim, 2018. http://d-nb.info/1171987838/34.

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Noor, Ifada. "Personalized ranking for tag-based item recommendation system using tensor model." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/98426/1/_Noor%20Ifada_Thesis.pdf.

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This research is a step forward in the study of generating item recommendations for the tag-based systems, in which two efficient tagging data interpretation schemes and four ranking methods are developed. The interpretation schemes apply ranking constraints to interpret the tagging data that allow a ranked representation and result in richer data. The ranking methods fall into the category of point-wise and list-wise based ranking approaches that consider the recommendation task as regression/classification and ranking respectively. This thesis, in particular, shows that tagging data interpre
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Ahmadi, Matthew. "Application of machine learning approaches for activity recognition and energy expenditure prediction in free living children and adolescents." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/206178/1/Matthew%20Nguyen_Ahmadi_Thesis.pdf.

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This thesis was the first to comprehensively evaluate the application of machine learning approaches for physical activity assessment under real world conditions among children with unique movement patterns. This included preschool age children and children with cerebral palsy. Collectively, the findings from this thesis conclude activity classification models trained on laboratory-based data fail to generalise to a real-world environment and models trained on free-living data have superior accuracy. In contrast, energy expenditure prediction models trained on laboratory-based data generalise
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Books on the topic "Personalised learning approach"

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Shona, Bass, ed. Engagement matters: Personalised learning for grades 3 to 6. ACER Press, 2011.

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Metcalf, Linda. Solution-focused RTI: A positive and personalized approach to response to intervention. Jossey-Bass, 2010.

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Murdoch, Kath. Personalised Learning in the Primary Classroom: Learner-centered Strategic Teaching. David Fulton Publish, 2008.

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Bhattacharya, S. P. Personalised System of Instruction ; A New Approach in Management of Learning in India. Ajanta Publications, 1992.

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Mansnérus, Juli, Raimo Lahti, and Amanda Blick, eds. Personalized medicine: Legal and ethical challenges. University of Helsinki, Faculty of Law, 2020. http://dx.doi.org/10.31885/9789515169419.

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This anthology deals with the legal and ethical challenges regarding personalized (precision) medicine and healthcare. It can also be regarded as the final report of a research project on the legal and ethical aspects of personalized medicine. It complements the reported results of the consortium ‘Personalised medicine to predict and prevent Type 1 Diabetes (P4 Diabetes)’ which were briefly presented in the booklet entitled ‘Better, Smarter, Now: Personalised Health – From Genes to Society (pHealth)’, Academy of Finland, Helsinki 2019. The articles of this anthology are not limited to the aspe
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Cheung, Simon, Lam Kwok, and Petra Poulová. Personalized Learning: Approaches, Methods and Practices. Taylor & Francis Group, 2023.

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Learning Life's Lessons: A Personalized Unit Study Approach. Hewitt Research Foundation, Incorporated, 1991.

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Teaching and learning science: Towards a personalized approach. Open University Press, 1998.

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Metcalf, Linda. Solution-Focused RTI: A Positive and Personalized Approach to Response to Intervention. Wiley & Sons, Incorporated, John, 2010.

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Metcalf, Linda. Solution-Focused RTI: A Positive and Personalized Approach to Response to Intervention. Wiley & Sons, Incorporated, John, 2010.

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Book chapters on the topic "Personalised learning approach"

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Clematis, Andrea, Paola Forcheri, Maria Grazia Ierardi, and Alfonso Quarati. "Sharing e-Learning Experiences: A Personalised Approach." In Human-Computer Interaction, Tourism and Cultural Heritage. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18348-5_11.

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Melzer, Philipp. "Towards a Design-Oriented Approach for the Investigation of Self-Regulated Personalised Blended Learning." In A Conceptual Framework for Personalised Learning. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-23095-1_1.

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Jones, Aidan, Dennis Küster, Christina Anne Basedow, et al. "Empathic Robotic Tutors for Personalised Learning: A Multidisciplinary Approach." In Social Robotics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25554-5_29.

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Joseph, Ashly, K. P. Jaheer Mukthar, and Allam Hamdan. "Home Based Learning—A Flexible and Personalised Approach to Education." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62102-4_53.

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Rey-López, Marta, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas, and José J. Pazos-Arias. "T-Learning 2.0: A Personalised Hybrid Approach Based on Ontologies and Folksonomies." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11224-9_6.

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Chan, Johnny, and Yuming Li. "Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning." In Lecture Notes in Educational Technology. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-8931-6_5.

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Schelter, Nicole, and Dirk Veiel. "Towards an Adaptive Approach to a Personalised Design of Intelligent Learning Assistants (ILAs)." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66428-1_26.

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Santofimia, Maria J., Xavier del Toro, Cristina Bolaños, Javier Dorado, and Sara Colantonio. "A Smart Mirror to Your Health: Personalized Virtual Coaching for Active and Healthy Ageing." In Intelligent Systems Reference Library. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84158-3_10.

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Abstract “Sara” represents a revolutionary approach in personalised care, embedded within a smart mirror to enable active and healthy ageing. This chapter examines the potential and developmental pathways of smart mirrors and their assistants, like Sara, highlighting their capacity to integrate advanced artificial intelligence and machine learning for personalised health solutions. Despite their promising capabilities, the application of smart mirrors in effective health monitoring and lifestyle management is still being developed. This chapter evaluates the essential technological advancement
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Jury, Stephanie. "37. How can you know what you don’t know?" In Stories of Hope. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0462.37.

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This chapter critiques the marketisation and commodification of Higher Education, which has shifted universities from centres of holistic learning to spaces where students are treated as “customers” and education as a “product”. In this environment, individual exploration and self-development have been deprioritised, and the notion of a “successful learner” has become synonymous with independence from support—an outdated view that fails to recognise the diversity of contemporary university cohorts. Drawing on a case study, the chapter advocates for a personalised approach to study skills devel
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Bertrand, Ambre, Carolyna Yamamoto, Giulia Monopoli, et al. "Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic Risk Stratification." In Computational Physiology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53145-3_3.

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AbstractVentricular arrhythmias frequently occur as a complication of myocardial infarction (MI), due to significant changes in the heart’s structure and electrophysiology. If left untreated, these alterations may lead to sudden cardiac death (SCD). It is therefore critical to evaluate risk prediction accurately in post-infarction patients to enable early intervention and improve patient outcomes. This work introduces a novel approach to improve arrhythmia risk assessment in post-infarction patients. We propose a new pipeline to build physiologically realistic image-based models of patient hea
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Conference papers on the topic "Personalised learning approach"

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Mohd-Yasin, Faisal. "Personalised Learning Approach for Analogue Circuit Design Project." In 2025 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2025. https://doi.org/10.1109/educon62633.2025.11016311.

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Hajjir-Mesihovic, Nahla, and Belma Ramic-Brkic. "PERSONALIZED LEARNING APPROACH TO EDUCATION." In 17th International Conference on Education and New Learning Technologies. IATED, 2025. https://doi.org/10.21125/edulearn.2025.0299.

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Sotirov, Milen, Valentina Petrova, and Donika Nikolova-Sotirova. "Personalized Gamified Education: Feedback Mechanisms and Adaptive Learning Paths." In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS). IEEE, 2024. https://doi.org/10.1109/isas64331.2024.10845384.

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Singh, Jagendra, Neeraj, Kamal Upreti, Sambhajiraje Patil, Gaurav Agrawal, and Mohit Tiwari. "A Deep Learning Approach for Personalized Precision Medicine for Cancer Treatment." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007356.

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Tran, Trung-Kien, Ha-Phuong Tran, Thi-Lan Le, and Thanh-Hai Tran. "FedNTProto: A Prototype-Based Approach for Personalized Federated Learning." In 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). IEEE, 2024. http://dx.doi.org/10.1109/mapr63514.2024.10660707.

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Kiran, Pogiri Sai, Katarapu Prudhvi, Kare Dhavan, and Dhanavanthini P. "Transforming Mental Healthcare: Deep Learning for Accurate Diagnosis and Personalized Treatment Recommendation." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985160.

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Rahman, Ratun, Neeraj Kumar, and Dinh C. Nguyen. "Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach." In 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC). IEEE, 2025. https://doi.org/10.1109/ccnc54725.2025.10976072.

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Burra, Laksmi Ramani, B. Sivaneasan, Siva Shankar S, and Praveen Tumuluru. "A Hybrid Cognitive-Machine Learning Approach for Personalized and Efficient Rehabilitation." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10859620.

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Odeyomi, Olusola T., Austin Smith, Adrienne Whitmore, Oluwadoyinsola Ige, and Kaushik Roy. "Personalized Online Federated Learning With Differential Privacy in Constrained Environments: A Meta-Learning Approach." In MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM). IEEE, 2024. https://doi.org/10.1109/milcom61039.2024.10773867.

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Kurilovas, Eugenijus, Julija Kurilova, and Tomas Andruskevic. "ON PERSONALISED LEARNING APPROACH BASED ON APPLICATION OF INTELLIGENT TECHNOLOGIES." In International Conference on Education and New Learning Technologies. IATED, 2016. http://dx.doi.org/10.21125/edulearn.2016.1015.

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Reports on the topic "Personalised learning approach"

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Valdivia-Vizarreta, Paloma, and Johana Evelyn Montalvan Castilla. Flexibility and Playful Learning as Strategies for a Transformative Pedagogy in Higher Education. University of Stavanger, 2024. http://dx.doi.org/10.31265/usps.295.

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This essay explores how flexibility and playful learning address the current challenges in higher education, aligned with the principles of transformative pedagogy. This pedagogical approach views the university as an inclusive and adaptable space, where teaching aligns with students’ realities and needs, promoting accessibility, engagement, and holistic development. Flexibility enables students to manage their learning in a personalised manner, adapting to their individual paces, schedules, and environments (whether in-person or virtual), fostering autonomy and a better balance between person
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Brizard, Jean-Claude. Breaking With the Past: Embracing Digital Transformation in Education. Digital Promise, 2023. http://dx.doi.org/10.51388/20.500.12265/176.

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Today's businesses know that driving innovation is integral to succeeding not just in the present, but more importantly in the decades to come. Through the years, the innovation of digital technologies has transformed entire industries. Now it’s time to put those technologies to use and apply that same mentality to transform our schools. We need digital transformation of teaching and learning at scale across the United States. This report examines how the traditional one-size-fits-all approach to teaching and learning compares to more learner-centered, personalized frameworks; why we need to t
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Redolfi, Michela, and Matteo Socciarelli. Reading on paper, reading on screens. How ways of reading change and influence habits, language, and learning. Future Education Institute, 2024. https://doi.org/10.63523/r5h5q4.

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**Abstract** The advent of digital technologies has profoundly transformed reading practices and related skills, raising questions about the preference between reading on paper and on screens. While reading on paper promotes a linear and sequential approach, screen reading encourages practices such as skimming and scanning, requiring the development of new cognitive abilities. In an educational context where attention and comprehension are constantly challenged by digital devices, it becomes essential to move beyond the dichotomy between paper and digital, adopting a more integrated and consci
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Young, Stephen, Jessica Diaz, Bert De Coutere, and Holly Downs. Leadership Development in the Flow of Work: Leveraging Technology to Accelerate Learning. Center for Creative Leadership, 2022. http://dx.doi.org/10.35613/ccl.2022.2047.

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"A recent industry trend survey of CEOs found that only 11% of organizations report having a strong enough bench to fill leadership roles (Rhyne, 2021). As such, effective leadership development is an imperative for any high-performing organization. Rather than focusing time, money, and energy on only a small subset of “high-potential” employees, organizations can realize the full potential of their entire workforce by providing tech-enabled leadership development to leaders at all levels. This paper shares the following insights for Chief Learning Officers interested in leveraging evidence-ba
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Pasupuleti, Murali Krishna. Stochastic Computation for AI: Bayesian Inference, Uncertainty, and Optimization. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv325.

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Abstract: Stochastic computation is a fundamental approach in artificial intelligence (AI) that enables probabilistic reasoning, uncertainty quantification, and robust decision-making in complex environments. This research explores the theoretical foundations, computational techniques, and real-world applications of stochastic methods, focusing on Bayesian inference, Monte Carlo methods, stochastic optimization, and uncertainty-aware AI models. Key topics include probabilistic graphical models, Markov Chain Monte Carlo (MCMC), variational inference, stochastic gradient descent (SGD), and Bayes
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concep
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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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Saing, Chan Hang, Phal Chea, and Sopheak Song. Assessing Technology Readiness of Students and Teachers in Cambodian Higher Education during COVID-19. Cambodia Development Resource Institute, 2023. https://doi.org/10.64202/wp.143.202311.

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The global COVID-19 pandemic brought unprecedented disruptions to the higher education landscape worldwide. Widespread school closures, driven by the imperative of social distancing to combat the virus's spread forced a rapid and dramatic shift from traditional face-to-face instruction to online learning and teaching environments in numerous countries. Recent research has highlighted the formidable challenges lower- and middle-income countries face, particularly those with weaker ICT infrastructures and less technology-ready teachers and students, when adapting to these new tech-enhanced teach
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