Relevant bibliographies by topics / Adaptive Learning Systems

Contents

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

Academic literature on the topic 'Adaptive Learning Systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Adaptive Learning Systems"

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Obaidat, Mohammad S., Sudip Misra, and Georgios I. Papadimitriou. "Adaptive and Learning Systems." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40, no. 1 (2010): 2–5. http://dx.doi.org/10.1109/tsmcb.2009.2031199.

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Bruha, Ivan. "DEFINING ADAPTIVE AND LEARNING SYSTEMS." Cybernetics and Systems 20, no. 1 (1989): 77–88. http://dx.doi.org/10.1080/01969728908902194.

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Alom, Morshed. "Meta-Learning: Adaptive and Fast Learning Systems." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 2, no. 1 (2024): 90–97. http://dx.doi.org/10.60087/jaigs.v2i1.p97.

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Meta-learning has emerged as a powerful paradigm in machine learning, enabling adaptive and fast learning systems capable of efficiently acquiring knowledge from various tasks and domains. This paper provides an overview of meta-learning techniques, focusing on their ability to leverage prior experience to facilitate the learning of new tasks. We explore the fundamental concepts, methodologies, and applications of meta-learning, emphasizing its role in enhancing the adaptability and speed of learning systems. By incorporating meta-learning strategies, algorithms can autonomously adapt to new t
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Lim, Seo Hong, Lyndon Lim, and Rebekah Wei Ying Lim. "Learners’ Satisfaction with Adaptive Learning Systems." Educational Innovations and Emerging Technologies 3, no. 2 (2023): 1–6. http://dx.doi.org/10.35745/eiet2023v03.02.0001.

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To enhance diverse students’ learning experiences, tertiary educational institutions are increasingly adopting adaptive technologies. Although there are views that adaptive learning platforms contribute to learning within higher education, efficacy research of such systems yields mixed results. This is an indication that more could be studied concerning how adaptive learning can be efficacious within higher education contexts particularly when cognate studies have mostly discussed how cognitive measures differ between learners who engaged and those who did not engage with an adaptive learning
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Phobun, Pipatsarun, and Jiracha Vicheanpanya. "Adaptive intelligent tutoring systems for e-learning systems." Procedia - Social and Behavioral Sciences 2, no. 2 (2010): 4064–69. http://dx.doi.org/10.1016/j.sbspro.2010.03.641.

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Berlanga, Adriana, and Francisco García-Peñalvo. "Learning Design in Adaptive Educational Hypermedia Systems." JUCS - Journal of Universal Computer Science 14, no. (22) (2008): 3627–47. https://doi.org/10.3217/jucs-014-22-3627.

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After more than ten years of research aiming at defining methods and techniques to deliver personalized instruction, Adaptive Educational Hypermedia Systems have not made the jump into real practice systems. Reasons for this include the complexity of their development, their use of exclusive methods for defining adaptivity and educational elements, and their lack of interoperation amongst courses and applications. A possible alternative to cope with these issues is using as a common notational method the IMS Learning Design specification. This paper attempts to bring AEHS and IMS LD closer to
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Zliobaite, Indre, Albert Bifet, Mohamed Gaber, et al. "Next challenges for adaptive learning systems." ACM SIGKDD Explorations Newsletter 14, no. 1 (2012): 48–55. http://dx.doi.org/10.1145/2408736.2408746.

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Golubev, Konstantin M. "Adaptive learning with e-knowledge systems." International Journal of Technology Management 25, no. 6/7 (2003): 553. http://dx.doi.org/10.1504/ijtm.2003.003120.

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Brusilovsky, Peter, Charalampos Karagiannidis, and Demetrios Sampson. "Layered evaluation of adaptive learning systems." International Journal of Continuing Engineering Education and Lifelong Learning 14, no. 4/5 (2004): 402. http://dx.doi.org/10.1504/ijceell.2004.005729.

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Warwick, K. "Book review: Adaptive and Learning Systems." IEE Proceedings D Control Theory and Applications 134, no. 3 (1987): 209. http://dx.doi.org/10.1049/ip-d.1987.0031.

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Dissertations / Theses on the topic "Adaptive Learning Systems"

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Holmes, Michael Henry. "Comprehension based adaptive learning systems." Thesis, Manchester Metropolitan University, 2017. http://e-space.mmu.ac.uk/621011/.

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Conversational Intelligent Tutoring Systems aim to mimic the adaptive behaviour of human tutors by delivering tutorial content as part of a dynamic exchange of information conducted using natural language. Deciding when it is beneficial to intervene in a student’s learning process is an important skill for tutoring. Human tutors use prior knowledge about the student, discourse content and learner non-verbal behaviour to choose when intervention will help learners overcome impasse. Experienced human tutors adapt discourse and pedagogy based on recognition of comprehension and non-comprehension
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VOLTA, ERICA. "Multisensory learning in adaptive interactive systems." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1001795.

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The main purpose of my work is to investigate multisensory perceptual learning and sensory integration in the design and development of adaptive user interfaces for educational purposes. To this aim, starting from renewed understanding from neuroscience and cognitive science on multisensory perceptual learning and sensory integration, I developed a theoretical computational model for designing multimodal learning technologies that take into account these results. Main theoretical foundations of my research are multisensory perceptual learning theories and the research on sensory processing and
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Sullivan, John P. "Emergent Learning: Three Learning Communities as Complex Adaptive Systems." Thesis, Boston College, 2009. http://hdl.handle.net/2345/663.

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Thesis advisor: Patrick J. McQuillan<br>In the 2007-2008 school year, the author conducted a collaborative case study (Stake, 2000) with the goal of discovering and describing "emergent learning" in three high school classrooms. Emergent learning, defined as the acquisition of new knowledge by an entire group when no individual member of the group possessed it before, is implied by the work of many theorists working on an educational analog of a natural phenomenon called a complex adaptive system. Complex adaptive systems are well networked collectives of agents that are non-linear, bounded an
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Grundtman, Per. "Adaptive Learning." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61648.

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The purpose of this project is to develop a novel proof-of-concept system in attempt to measure affective states during learning-tasks and investigate whether machine learning models trained with this data has the potential to enhance the learning experience for an individual. By considering biometric signals from a user during a learning session, the affective states anxiety, engagement and boredom will be classified using different signal transformation methods and finally using machine-learning models from the Weka Java API. Data is collected using an Empatica E4 Wristband which gathers ski
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Bondorowicz, Stefan. "Adaptive control of complex dynamic systems." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302787.

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Rodríguez-Jiménez, Othoniel. "Hierarchical, adaptive learning objects /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3091962.

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Ng, D. T. H. (David Tung Him) 1963 Carleton University Dissertation Computer Science. "Learning systems, adaptive data structures and random environments." Ottawa.:, 1989.

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Lindkvist, Emilie. "Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems." Doctoral thesis, Stockholms universitet, Stockholm Resilience Centre, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-122395.

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As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. The first line of research focuses on the use of learning-by-doing (LBD) for managing a renewable resource, exemplified by a fish stock, and explores LBD in a theoretical model using artificial intelligence (Paper I and II). The second line of research focuses on the emergence of different fo
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Wang, Yu. "Adaptive control and learning using multiple models." Thesis, Yale University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10783473.

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<p> Adaptation can have different objectives. Compared to a learning behavior, which is mainly to optimize the rewards/experience obtained through the learning process, adaptive control is a type of adaptation that follows a specific target guided by a controller. Although the targets may be different, the two types of adaption share common research interests.</p><p> One of the popular research techniques for studying adaptation is the use of multiple models, where the system will utilize information from multiple environment observers instead of one to improve the adaptation behavior in ter
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Stackhouse, Christian Paul 1960. "AN ADAPTIVE RULE-BASED SYSTEM." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276534.

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Adaptive systems are systems whose characteristics evolve over time to improve their performance at a task. A fairly new area of study is that of adaptive rule-based systems. The system studied for this thesis uses meta-knowledge about rules, rulesets, rule performance, and system performance in order to improve its overall performance in a problem domain. An interesting and potentially important phenomenon which emerged is that the performance the system learns while solving a problem appears to be limited by an inherent break-even level of complexity. That is, the cost to the system of acqui
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Books on the topic "Adaptive Learning Systems"

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National Institute of Standards and Technology (U.S.). Advanced Technology Program, ed. Adaptive learning systems. U.S. Dept. of Commerce, Technology Administration, Advanced Technology Program, 1998.

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Narendra, Kumpati S., ed. Adaptive and Learning Systems. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4757-1895-9.

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Butz, Martin V., Olivier Sigaud, Giovanni Pezzulo, and Gianluca Baldassarre, eds. Anticipatory Behavior in Adaptive Learning Systems. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74262-3.

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Pezzulo, Giovanni, Martin V. Butz, Olivier Sigaud, and Gianluca Baldassarre, eds. Anticipatory Behavior in Adaptive Learning Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02565-5.

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Peña-Ayala, Alejandro, ed. Intelligent and Adaptive Educational-Learning Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30171-1.

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Butz, Martin V., Olivier Sigaud, and Pierre Gérard, eds. Anticipatory Behavior in Adaptive Learning Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b11711.

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Rieser, Verena, and Oliver Lemon. Reinforcement Learning for Adaptive Dialogue Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24942-6.

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Gert, Cauwenberghs, and Bayoumi Magdy A, eds. Learning on silicon: Adaptive VLSI neural systems. Kluwer Academic, 1999.

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S, Narendra Kumpati, ed. Adaptive and learning systems: Theory and applications. Plenum Press, 1986.

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1953-, Jones Marlene, Winne Philip H, Tubman Carol, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Syntheses of Instructional Science and Computing Science for Effective Instructional Computing Systems (1990 : Calgary, Alta.), eds. Adaptive learning environments: Foundations and frontiers. Springer-Verlag, 1992.

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Book chapters on the topic "Adaptive Learning Systems"

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Weber, Gerhard. "Adaptive Learning Systems." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_534.

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Na, Inyoung, and Volker Hegelheimer. "Adaptive Learning Systems." In The Palgrave Encyclopedia of Computer-Assisted Language Learning. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-51447-0_1-1.

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van Oijen, Joost, Jan Joris Roessingh, Gerald Poppinga, and Victor García. "Learning Analytics of Playing Space Fortress with Reinforcement Learning." In Adaptive Instructional Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22341-0_29.

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Goodyear, Peter, and Benedict du Boulay. "Systems and Architectures for Instruction." In Adaptive Learning Environments. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77512-3_2.

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Shuell, Thomas J. "Designing Instructional Computing Systems for Meaningful Learning." In Adaptive Learning Environments. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77512-3_3.

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Watz, Eric, Peter Neubauer, Ramona Shires, and Jeremy May. "Precision Learning Through Data Intelligence." In Adaptive Instructional Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34735-1_13.

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Essa, Alfred, and Shirin Mojarad. "Does Time Matter in Learning? A Computer Simulation of Carroll’s Model of Learning." In Adaptive Instructional Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50788-6_34.

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Derry, Sharon J. "Metacognitive Models of Learning and Instructional Systems Design." In Adaptive Learning Environments. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77512-3_15.

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Clariana, Roy B., and Simon Hooper. "Adaptive Evaluation Systems." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1061.

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van Someren, M., and S. ten Hagen. "Machine Learning and Reinforcement Learning." In Do Smart Adaptive Systems Exist? Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-32374-0_5.

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Conference papers on the topic "Adaptive Learning Systems"

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Swanson, Robin, Jacob Taylor, Masen P. Lamb, and Suresh Sivanandam. "Robust supervised learning for closed loop adaptive optics predictive control." In Adaptive Optics Systems IX, edited by Dirk Schmidt, Elise Vernet, and Kathryn J. Jackson. SPIE, 2024. http://dx.doi.org/10.1117/12.3020726.

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Camelo, Raissa, Jalo Nousiainen, Cedric Taïssir Heritier, Morgan Gray, and Benoît Neichel. "Reinforcement learning-based control law on PAPYRUS: simulations using different atmospheric conditions." In Adaptive Optics Systems IX, edited by Dirk Schmidt, Elise Vernet, and Kathryn J. Jackson. SPIE, 2024. http://dx.doi.org/10.1117/12.3018887.

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Long, Joseph D., Jared R. Males, Laird M. Close, et al. "More data than you want, fewer data than you need: machine learning approaches to starlight subtraction with MagAO-X." In Adaptive Optics Systems IX, edited by Dirk Schmidt, Elise Vernet, and Kathryn J. Jackson. SPIE, 2024. http://dx.doi.org/10.1117/12.3018424.

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Shan, Richard. "LearnRAG: Implementing Retrieval-Augmented Generation for Adaptive Learning Systems." In 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2025. https://doi.org/10.1109/icaiic64266.2025.10920869.

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Berducci, Luigi, Shuo Yang, Rahul Mangharam, and Radu Grosu. "Learning Adaptive Safety for Multi-Agent Systems." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611037.

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Patil, Amruta Awati, Hrushikesh Joshi, Prajakta Shinde, Jyoti Jadhav, and Ganesh Pise. "Adaptive Tutoring Systems: Crafting Personalized Learning Experiences." In 2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT). IEEE, 2024. https://doi.org/10.1109/icaiccit64383.2024.10912102.

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Wong, Alison, Barnaby R. M. Norris, Vincent Deo, et al. "Machine learning for wavefront sensing." In Adaptive Optics Systems VIII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2022. http://dx.doi.org/10.1117/12.2628869.

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Rossi, Fabio, Cédric Plantet, Anne-Laure Lucie Ceffot, Guido Agapito, Enrico Pinna, and Simone Esposito. "Machine learning techniques for piston sensing." In Adaptive Optics Systems VIII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2022. http://dx.doi.org/10.1117/12.2629983.

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Flasseur, Olivier, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, and Anne-Marie Lagrange. "Exoplanet detection in angular differential imaging: combining a statistics-based learning with a deep-based learning for improved detections." In Adaptive Optics Systems VIII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2022. http://dx.doi.org/10.1117/12.2629849.

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Weinberger, Camilo, Felipe Guzman, and Esteban Vera. "Improved training for the deep learning wavefront sensor." In Adaptive Optics Systems VII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2020. http://dx.doi.org/10.1117/12.2564199.

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Reports on the topic "Adaptive Learning Systems"

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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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Osadcha, Kateryna, Viacheslav Osadchyi, Serhiy Semerikov, Hanna Chemerys, and Alona Chorna. The Review of the Adaptive Learning Systems for the Formation of Individual Educational Trajectory. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4130.

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The article is devoted to the review of the adaptive learning systems. We considered the modern state and relevance of usage of the adaptive learning systems to be a useful tool of the formation of individual educational trajectory for achieving the highest level of intellectual development according to the natural abilities and inclination with the help of formation of individual trajectory of education, the usage of adaptive tests for monitoring of the quality of acquired knowledge, the formation of complicated model of the knowledge assessment, building of the complicated model of the subje
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Sottilare, Robert A. Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada614161.

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Sottilare, Robert A., and Anne M. Sinatra. Adaptive Tutoring for Self-Regulated Learning: A Tutorial on Tutoring Systems. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada612882.

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Brinkerhoff, Derick W., Sarah Frazer, and Lisa McGregor-Mirghani. Adapting to Learn and Learning to Adapt: Practical Insights from International Development Projects. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.

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Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes
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Osadchyi, Viacheslav V., Hanna Y. Chemerys, Kateryna P. Osadcha, Vladyslav S. Kruhlyk, Serhii L. Koniukhov, and Arnold E. Kiv. Conceptual model of learning based on the combined capabilities of augmented and virtual reality technologies with adaptive learning systems. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4417.

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The article is devoted to actual problem of using modern ICT tools to increase the level of efficiency of the educational process. The current state and relevance of the use of augmented reality (AR) and virtual reality (VR) technologies as an appropriate means of improving the educational process are considered. In particular, attention is paid to the potential of the combined capabilities of AR and VR technologies with adaptive learning systems. Insufficient elaboration of cross-use opportunities for achieving of efficiency of the educational process in state-of-the-art research has been ide
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Nosenko, Yuliya H., Maiia V. Popel, and Mariya P. Shyshkina. The state of the art and perspectives of using adaptive cloud-based learning systems in higher education pedagogical institutions (the scope of Ukraine). [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3246.

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The article deals with the problems of using adaptive cloud-based learning systems (ACLS) in the modern high-tech educational environment and expanding access to them as tools of educational and research activity at higher education pedagogical institutions in Ukraine. The conceptual apparatus of cloud-based adaptive learning systems application and design is considered; their main characteristics are revealed; the ways of their pedagogical application are described. The experience of Institute of Information Technologies and Learning Tools of NAES of Ukraine on designing and applying of the c
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Apgar, Marina, Mieke Snijder, Sukanta Paul, et al. Evaluating CLARISSA: Evidence, Learning, and Practice. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/clarissa.2024.050.

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This research and evidence paper presents a synthesis of the findings from the embedded theory-based evaluation of the CLARISSA programme. It is structured around the three main impact pathways of the programme. The evaluation found that the Systemic Action Research intervention led to participating children and business owners building agency, expanding power, and driving change in systems. An innovative Social Protection intervention in Bangladesh using unconditional and universal cash transfer with case work and community support was found to have potential to reduce children’s engagement w
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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

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Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject
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