Academic literature on the topic 'Adaptive e-learning environment'

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Journal articles on the topic "Adaptive e-learning environment"

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Hajdari, Besnik. "The impact of information technology for online learning with the implementation and involvement of students in the creation of conditions and environment." Contemporary Research in Education and English Language Teaching 6, no. 1 (2024): 33–49. http://dx.doi.org/10.55214/26410230.v6i1.1131.

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Adaptive e-learning is considered a stimulus to assist learning and increase student engagement. Hence, building suitable adaptive e-learning environments helps to individualize education to reinforce learning goals. This work aims to create an adaptable e-learning environment based on students' learning styles and examine the effect of the adaptive e-learning environment on student engagement. This study also contrasts the suggested adaptive e-learning environment with the standard e-learning strategy. The suggested adaptive e-learning strategy and findings may assist e-learning institutions
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Fatahi, Somayeh. "An experimental study on an adaptive e-learning environment based on learner's personality and emotion." Education and Information Technologies 24, no. 4 (2019): 2225–41. https://doi.org/10.1007/s10639-019-09868-5.

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E-learning enables learners to learn everywhere and at any time but this kind of learning lacks the necessary attractiveness.‎ Therefore, adaptation is becoming increasingly important and the recent research interest in the adaptive e-learning system.‎ Since emotions and personality are important parts of human characteristics, and they play a significant role in parts of adaptive e-learning systems, it is essential to consider them in designing these systems.‎ This paper presents an empirical study on the impact of using an adaptive e-learning environment based on learner’s
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Abdulrahman Alzahrani, Abdulrahman Alzahrani, Muhammad Adnan Abdulrahman Alzahrani, Maha Aljohani Muhammad Adnan, Ala Abdulsalam Alarood Maha Aljohani, and M. Irfan Uddin Ala Abdulsalam Alarood. "Memory Load and Performance-based Adaptive Smartphone E-learning Framework for E-commerce Applications in Online Learning." 網際網路技術學刊 23, no. 6 (2022): 1353–65. http://dx.doi.org/10.53106/160792642022112306018.

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<p>The term e-commerce is not confined to the purchase and sale of goods only. There are several occasions where students are not able to comprehend any idea on their own. With the availability of online learning platforms such as Massive Open Online Courses (MOOCs) and Virtual Learning Environments (VLEs), students may visit online Internet sites, where various articles are made available with a single click. With mobile devices in their hands, they can also listen to the presentations of different academics from anywhere and at any time. In an online learning environment, it is challen
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Ewais, Ahmed, and Olga De Troyer. "Authoring Adaptive 3D Virtual Learning Environments." International Journal of Virtual and Personal Learning Environments 5, no. 1 (2014): 1–19. http://dx.doi.org/10.4018/ijvple.2014010101.

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The use of 3D and Virtual Reality is gaining interest in the context of academic discussions on E-learning technologies. However, the use of 3D for learning environments also has drawbacks. One way to overcome these drawbacks is by having an adaptive learning environment, i.e., an environment that dynamically adapts to the learner and the activities that he performs in the environment. In this paper, the authors discuss adaptive 3D virtual leaning environments and explain how a course author can specify such an environment (i.e., authoring). The approach and tool that the authors present allow
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Attia, M. R. ". Learning analytics technology in adaptive electronic learning environments." Pedagogicheskiy Zhurnal Bashkortostana 92, no. 2 (2021): 144–53. http://dx.doi.org/10.21510/1817-3292-2021-92-2-144-153.

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Adaptive e-learning environments are based on diversifying the presentation of content according to the learning styles of each learner, where the content is presented as if it is directed to each student separately, and activities and tests are presented so that they are sensitive to the different styles of learners and suitable for their mental abilities. These environments depend in their design on intelligence, therefore, these environments can analyze the characteristics and capabilities of learners, each separately, and this is done through learning analytics technology that helps in the
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Retalis, Symeon. "Creating Adaptive e-Learning Board Games for School Settings Using the ELG Environment." JUCS - Journal of Universal Computer Science 14, no. (17) (2008): 2897–908. https://doi.org/10.3217/jucs-014-17-2897.

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The use of digital games in education is well documented in the literature. They have been used in preschool, K-12, the university. A specific type of digital games is board games. Adding board games to the educational process can lead to an interactive stimulating learning experience. With a board game, players often learn from one another while at the same time having fun in a competitive environment. In this paper we propose the "ELG" game, an e-learning board game that adopts the basic elements of a racing board game but fosters students' creativity, problem-solving skills, and imagination
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Alzahrani, Nouf, Paul Newbury, and Phil L. Watten. "Self-Summarized Videos in Adaptive Collaborative E-Learning Environment." Journal of Information Technology and Application in Education 4 (2015): 1. http://dx.doi.org/10.14355/jitae.2015.04.001.

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Younes, Sayed S. "Examining the Effectiveness of Using Adaptive AI-Enabled e-Learning during the Pandemic of COVID-19." Journal of Healthcare Engineering 2021 (September 16, 2021): 1–14. http://dx.doi.org/10.1155/2021/3928326.

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This study aimed to identify the effect of using adaptive AI-enabled e-learning on developing digital content creative design skills among postgraduate students. The research tools included an achievement test and an observation checklist for rating the practical performance. Research results concluded that, regardless of learning styles, the proposed adaptive e-learning environment had a positive effect on developing both cognitive achievement and practical performance of digital content creative design skills. The results also indicated that there is a significant difference at the 0.01 leve
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M. El-Bakry, Hazem, and Ahmed A. Saleh. "Adaptive E-Learning Based on Learner's Styles." Bulletin of Electrical Engineering and Informatics 2, no. 4 (2013): 240–51. http://dx.doi.org/10.11591/eei.v2i4.189.

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In this paper, a new model for adaptive e-learning based on learner's styles is presented. In the previous work, the dimensions of learner's styles given by Felder-Silverman did not consider some important issues of the learner himself. Here, new learner's parameters such as his social environment, health conditions, psychological and economical states are taken into account. Such parameters greatly affect the ability of student to learn and understand. Therefore, in order to perfectly recognize the ability of the student to be interactive in the leaning environment and accept information, new
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Perera, M. P. L. "A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment." International Journal of Engineering and Advanced Technology 10, no. 4 (2021): 37–42. http://dx.doi.org/10.35940/10.35940/ijeat.d2297.0410421.

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Adaptive e-learning the aim is to fill the gap between the pupil and the educator by discussing the needs and skills of individual learners. Artificial intelligence strategies that have the potential to simulate human decision-making processes are important around adaptive e-Learning. This paper explores the Artificial techniques; Fuzzy Logic, Neural Networks, Bayesian Networks and Genetic Algorithms, highlighting their contributions to the notion of the adaptability in the sense of Adaptive E-learning. The implementation of Artificial Neural Networks to resolve problems in the current Adaptiv
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Dissertations / Theses on the topic "Adaptive e-learning environment"

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Alzahrani, Nouf Matar. "Student-summarized videos in an Adaptive and Collaborative E-learning Environment (ACES)." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/63976/.

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The purpose of this research was to develop a collaborative e-Learning framework using summarised videos as learning media to provide a more efficient learning experience where participants' engagement and motivations are enhanced. The research aims to increase participants' overall learning level, understanding level; motivation and communication skills. For this research, a collaborative environment has been built where students participate in a video sharing system allowing them to create their own summarized Videos from existing course video material. Students can then share these videos w
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Wolf, Christian Marc, and chris@adaptive-learning net. "Construction of an Adaptive E-learning Environment to Address Learning Styles and an Investigation of the Effect of Media Choice." RMIT University. Education, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080625.093019.

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This study attempted to combine the benefits of multimedia learning, adaptive interfaces, and learning style theory by constructing a novel e-learning environment. The environment was designed to accommodate individual learning styles while students progressed through a computer programming course. Despite the benefits of individualised instruction and a growing worldwide e-learning market, there is a paucity of guidance on how to effectively accommodate learning styles in an online environment. Several existing learning-style adaptive environments base their behaviour on an initial asses
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Lukauskas, Vaidas. "Adaptyvios e. mokymosi aplinkos intelektualaus komponento kūrimas, naudojant Kohoneno savaime susitvarkančio žemėlapio neuroninį tinklą." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2005. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2005~D_20050616_081914-76412.

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In this master graduation work there are analyzed and described the principles of creation an intelligent component of adaptive e-learning system, by using Kohonen self organized map neural networks. There created intelligent component, which was realized by using agent technologies, distinguishes by abilities to make a decision in respect of concrete user needs. In this work there are also described common structure of adaptive e-learning system, by pointing the place, which takes intelligent component, and its relationships with other parts of such adaptive system.
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Gasparini, Isabela. "Interface adaptativa no meio ambiente AdaptWeb : navegação e apresentação adaptativa baseada no modelo do usuário." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2003. http://hdl.handle.net/10183/12076.

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A área de pesquisa em Informática na Educação tem evoluído com a introdução da Internet e milhares de cursos baseados na Web que surgiram nos últimos anos. Entretanto, estas novas aplicações educacionais são, em muitos casos, desenvolvidas como um repositório estático de conteúdo, sem aproveitar adequadamente as características dinâmicas e de adaptabilidade que o ambiente Web propicia. Este fato ocasiona sérios problemas de usabilidade: - Problemas de orientação: uma página apresenta constantemente o mesmo conteúdo e os mesmos links, não levando em conta quais páginas são mais importantes para
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Corrêa, Ygor. "O agir linguageiro na perspectiva dos sistemas adaptativos complexos em ambiente virtual de aprendizagem em EAD." Universidade do Vale do Rio dos Sinos, 2014. http://www.repositorio.jesuita.org.br/handle/UNISINOS/3850.

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Submitted by William Justo Figueiro (williamjf) on 2015-06-13T14:34:59Z No. of bitstreams: 1 15.pdf: 1458705 bytes, checksum: 59b7f3a79abc9a4c4dcf917b8bab961f (MD5)<br>Made available in DSpace on 2015-06-13T14:34:59Z (GMT). No. of bitstreams: 1 15.pdf: 1458705 bytes, checksum: 59b7f3a79abc9a4c4dcf917b8bab961f (MD5) Previous issue date: 2014-02-24<br>UNISINOS - Universidade do Vale do Rio dos Sinos<br>O presente estudo concebe o papel central da língua no desenvolvimento humano por meio de um agir linguageiro. Nessa perspectiva, compreende-se que a linguagem se situa em práticas interacio
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Kapočiūtė-Dzikienė, Jurgita. "Induction of environment and goal models by an adaptive agent in deterministic environment." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110201_145709-70884.

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If the laws of percepts change, which are described by deterministic Markov decision process, exist in the observable or partially observable environment, then the agent by interacting with the environment and having no initial knowledge is capable to discover those laws using the methods of logical and constructive induction (i.e. is capable to learn environment and goal models); it is capable to learn predicting precisely its own consequences of actions and apply this learned knowledge in order to achieve its own goals in the new unseen situations. Adaptive agent proposed in this dissertatio
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Almohammadi, Khalid. "Type-2 fuzzy logic based systems for adaptive learning and teaching within intelligent e-learning environments." Thesis, University of Essex, 2016. http://repository.essex.ac.uk/17211/.

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The recent years have witnessed an increased interest in e-learning platforms that incorporate adaptive learning and teaching systems that enable the creation of adaptive learning environments to suit individual student needs. The efficiency of these adaptive educational systems relies on the methodology used to accurately gather and examine information pertaining to the characteristics and needs of students and relies on the way that information is processed to form an adaptive learning context. The vast majority of existing adaptive educational systems do not learn from the users’ behaviours
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Onay, Durdu Pinar. "A Distributed Online Curriculum And Courseware Development Model." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608989/index.pdf.

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A distributed online curriculum and courseware (DONC2) development model is proposed in this study. Collaborative courseware development teams which may work in distributed academic or private institutions who need to develop higher quality, reduced cost, on time products are the users of DONC2 development model. The related features from the disciplines of instructional design and software engineering were combined and concepts like usability, especially in terms of formative and summative evaluation, interoperability and reusability were integrated into the model. The research is conducted
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Peña, de Carrillo Clara Inés. "Intelligent agents to improve adaptivity in a web-based learning environment." Doctoral thesis, Universitat de Girona, 2004. http://hdl.handle.net/10803/7725.

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En esta tesis se propone el uso de agentes inteligentes en entornos de aprendizaje en línea con el fin de mejorar la asistencia y motivación del estudiante a través de contenidos personalizados que tienen en cuenta el estilo de aprendizaje del estudiante y su nivel de conocimiento. Los agentes propuestos se desempeñan como asistentes personales que ayudan al estudiante a llevar a cabo las actividades de aprendizaje midiendo su progreso y motivación. <br/>El entorno de agentes se construye a través de una arquitectura multiagente llamada MASPLANG diseñada para dar soporte adaptativo (presentaci
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FAVARIO, LEONARDO. "A New Modular E-Learning Platform Integrating an Enhanced Multimedia Experience." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2709429.

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Information and communication technologies are rapidly disrupting the way we interact with each other in this new connected world. The transmission of multimedia information is becoming mainstream also thanks to the availability of several commercial systems. Also in the educational environment, these novel technologies are making it possible to create and manage learning objects in ways which were unthinkable a few years back and this represents the driver for the creation of new approaches to education. Seeing the ubiquitous nature of the environments where web users interact, this work star
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Book chapters on the topic "Adaptive e-learning environment"

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Shi, Lei, George Gkotsis, Karen Stepanyan, Dana Al Qudah, and Alexandra I. Cristea. "Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39112-5_94.

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Embaye, Teklehaimanot, Zorica Bogdanović, Dušan Barać, Tamara Naumović, and Božidar Radenković. "Employing Trait Emotional Intelligence in an Adaptive E-learning Environment." In Marketing and Smart Technologies. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9272-7_7.

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Kazienko, P., and J. Sobecki. "XML-Based Learning Scenario Representation and Presentation in the Adaptive E-learning Environment." In Innovations in Applied Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24677-0_99.

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Alam, Ashraf. "Cloud-Based E-learning: Scaffolding the Environment for Adaptive E-learning Ecosystem Based on Cloud Computing Infrastructure." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1976-3_1.

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Lichtnow, Daniel, Isabela Gasparini, Amel Bouzeghoub, José Palazzo M. de Oliveira, and Marcelo S. Pimenta. "Recommendation of Learning Material through Students´ Collaboration and User Modeling in an Adaptive E-Learning Environment." In Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19814-4_12.

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Bauer, Elisabeth, Michael Sailer, Jan Kiesewetter, et al. "Learning to Diagnose Students’ Behavioral, Developmental, and Learning Disorders in a Simulation-Based Learning Environment for Pre-Service Teachers." In Learning to Diagnose with Simulations. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89147-3_8.

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AbstractReasoning about students who might have behavioral, developmental, or learning disorders is a relevant aspect of teachers’ everyday practice (Reinke et al., Sch Psychol Q 26(1):1, 2011). Therefore, this content area should be part of teacher education. Accordingly, we developed a simulation-based learning environment in which pre-service teachers gather information about six individual students. Learners examine reports about students’ behavior, e.g., in the classroom or at home, and analyze the students’ performance and records of their work. The pre-service teachers’ task is to integ
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Benkhalfallah, Fateh, and Mohamed Ridda Laouar. "Artificial Intelligence-Based Adaptive E-learning Environments." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44097-7_6.

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Heitink, Maaike, and Bernard P. Veldkamp. "Computer Adaptive Assessment for Learning in a Virtual Learning Environment." In Computer Assisted Assessment. Research into E-Assessment. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27704-2_3.

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Sarshartehrani, Fatemeh, Elham Mohammadrezaei, Majid Behravan, and Denis Gracanin. "Enhancing E-Learning Experience Through Embodied AI Tutors in Immersive Virtual Environments: A Multifaceted Approach for Personalized Educational Adaptation." In Adaptive Instructional Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60609-0_20.

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Torrente, Javier, Pablo Moreno-Ger, and Baltasar Fernandez-Manjon. "Learning Models for the Integration of Adaptive Educational Games in Virtual Learning Environments." In Technologies for E-Learning and Digital Entertainment. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69736-7_50.

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Conference papers on the topic "Adaptive e-learning environment"

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Ahamed, H. Riaz, and D. Kerana Hanirex. "A Deep Learning-Enabled Approach for Real-Time Monitoring of Learner Activities in Adaptive E-Learning Environments." In 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). IEEE, 2024. http://dx.doi.org/10.1109/iccpct61902.2024.10673041.

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Acosta-Pavas, Juan Camilo, David Camilo Corrales, Susana Mar�a Alonso Villela, et al. "Learning-based Control Approach for Nanobody-scorpion Antivenom Optimization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.149893.

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One market scope of bioindustries is the production of recombinant proteins for its application in serotherapy. However, its process's monitoring and optimization present limitations. There are different approaches to optimize bioprocess performance; one is using model-based control strategies such as Model Predictive Control (MPC). Another strategy is learning-based control, such as Reinforcement Learning (RL). In this work, an RL approach was applied to maximize the production of recombinant proteins in E. coli at the�induction phase using as a control variable the substrate feed flow rate (
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Li, Xuanxi, Xiaoxue Wang, and Xiaoqing Gu. "A design framework for adaptive e-learning environment." In Fourth International Workshop on Pattern Recognition, edited by Zhenxiang Chen, Xudong Jiang, and Guojian Chen. SPIE, 2019. http://dx.doi.org/10.1117/12.2540992.

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Kismihok, G., and R. Vas. "Ontology based adaptive examination system in E-learning environment." In 28th International Conference on Information Technology Interfaces, 2006. IEEE, 2006. http://dx.doi.org/10.1109/iti.2006.1708455.

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Moebs, S., and J. McManis. "Adaptive social connectedness in a multimedia e-learning environment." In China-Ireland International Conference on Information and Communications Technologies (CIICT 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080918.

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Kabari, L. G., and U. P. Ukpong. "Creating an effective E-learning environment for Nigerian Polytechnic Educational System." In 2012 IEEE 4th International Conference on Adaptive Science & Technology (ICAST). IEEE, 2012. http://dx.doi.org/10.1109/icastech.2012.6381081.

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Kanimozhi, A., and V. Cyril Raj. "An adaptive e-learning environment centred on learner's emotional behaviour." In 2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET). IEEE, 2017. http://dx.doi.org/10.1109/icammaet.2017.8186752.

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Chu, Chih-Ping, and Yi-Chun Chang. "A Prediction Mechanism of Adaptive Learning Content in the Scalable E-Learning Environment." In 21st International Conference on Advanced Information Networking and Applications Workshops. IEEE, 2007. http://dx.doi.org/10.1109/ainaw.2007.43.

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Lagman, Ace C., and Danna May Mansul. "Extracting Personalized Learning Path in Adaptive E-Learning Environment Using Rule Based Assessment." In the 2017 International Conference. ACM Press, 2017. http://dx.doi.org/10.1145/3176653.3176679.

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Gustun, O. N., and N. V. Budaragin. "The lifecycle of e-learning course in the adaptive educational environment." In INFORMATION TECHNOLOGIES IN EDUCATION OF THE XXI CENTURY (ITE-XXI): Proceedings of the International Scientific-Practical Conference “Information Technologies in Education of the XXI Century”. Author(s), 2017. http://dx.doi.org/10.1063/1.4972424.

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Reports on the topic "Adaptive e-learning environment"

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Neroda, Tetyana V., Lidia V. Slipchyshyn, and Ivan O. Muzyka. Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4449.

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The ways of providing comprehensive efficiency increase in communication facilities of the academic space are given with regard to stipulated methods of managing distributed network resources. Selected the user interfaces types are distinguished according to user actions in the studied subject area, which made it possible to justify and hierarchically organize the categories of adaptive toolkit of the branch- oriented workshop environment by the classes of components declared in the project, which are closely related to the scheme of learning experiment and are basic means for simulating trans
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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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