Log in

Relevant bibliographies by topics / Adaptive Learning Systems / Journal articles

To see the other types of publications on this topic, follow the link: Adaptive Learning Systems.

Journal articles on the topic 'Adaptive Learning Systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Adaptive Learning Systems.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Komarov, M. A., G. V. Osipov, and M. S. Burtsev. "Adaptive functional systems: Learning with chaos." Chaos: An Interdisciplinary Journal of Nonlinear Science 20, no. 4 (2010): 045119. http://dx.doi.org/10.1063/1.3521250.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Gabrys, Bogdan, and Davide Anguita. "Nature-inspired learning and adaptive systems." Natural Computing 8, no. 2 (2009): 197–98. http://dx.doi.org/10.1007/s11047-009-9123-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Romi, Ismail M. "Adaptive E-Learning Systems Success Model." International Journal of Emerging Technologies in Learning (iJET) 18, no. 18 (2023): 177–91. http://dx.doi.org/10.3991/ijet.v18i18.42929.

Full text

Abstract:

E-learning implementation is growing alongside the e-learning market’s growth. As a result, competing models and approaches were proposed to improve e-learning and learner performance; one of these models is the e-learning systems success model. In order to expand this model, an analysis of the published e-learning models and frameworks in the period 2017–2022 was conducted using the aggregative review method. 37 studies that match the current study interests have been selected and analyzed. The main results support the e-learning system success model. In addition to further constructs other t

APA, Harvard, Vancouver, ISO, and other styles

14

Asmara, Adi. "Enhancing Learning Outcomes through Adaptive Learning Systems in Education Technology." Global International Journal of Innovative Research 2, no. 7 (2024): 1568–76. http://dx.doi.org/10.59613/global.v2i7.244.

Full text

Abstract:

This study investigates the impact of adaptive learning systems in educational technology on enhancing learning outcomes. The primary objective is to qualitatively analyze the literature to understand how adaptive learning systems personalize education and improve student performance. The research employs a qualitative literature review methodology, synthesizing findings from academic articles, industry reports, case studies, and empirical studies to provide a comprehensive overview of the current state of knowledge in this area. The literature review methodology involves systematically collec

APA, Harvard, Vancouver, ISO, and other styles

15

Capuano, Nicola, and Santi Caballé. "Adaptive Learning Technologies." AI Magazine 41, no. 2 (2020): 96–98. http://dx.doi.org/10.1609/aimag.v41i2.5317.

Full text

Abstract:

Adaptive learning refers to technologies that dynamically adjust to the level or type of course content based on an individual’s abilities or skill attainment, in ways that accelerate a learner’s performance with both automated and instructor interventions. This column explores adaptive learning, its close relationship to artificial intelligence, and points to several results from artificial intelligence that have been used to build effective adaptive learning systems. The pairing of massive open online courses and adaptive learning has revealed new technical and pedagogical challenges that ar

APA, Harvard, Vancouver, ISO, and other styles

16

Popova, Y. B. "From LMS to adaptive training systems." «System analysis and applied information science», no. 2 (August 28, 2019): 58–64. http://dx.doi.org/10.21122/2309-4923-2019-2-58-64.

Full text

Abstract:

The use of information technology and, in particular, learning management systems, increases the ability of both the teacher and the learner to achieve their goals in the educational process. Such systems provide educational content, help organize and monitor training, collect progress statistics, and can also take into account the individual characteristics of each user of the system. The purpose of this study is to determine the direction of development of modern learning systems and technologies for their implementation. The evolution of learning management systems, the transition to intell

APA, Harvard, Vancouver, ISO, and other styles

17

Usachov, Volodymyr, and Ihor Shubin. "A structural-functional model of learning in computerized learning systems." INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, no. 1(31) (March 31, 2025): 127–42. https://doi.org/10.30837/2522-9818.2025.1.127.

Full text

Abstract:

The subject matter of the article is the development of a universal structural-functional model of computerized learning systems that integrates learner, learning, and explanation models. This model addresses the task of personalizing the learning process, considering the individual characteristics of the learner, and ensuring long-term knowledge retention. The goal of the work is to develop a universal structural-functional learning system model that combines modern adaptive algorithms, integrates psychological and cognitive aspects, and introduces new approaches to long-term knowledge retent

APA, Harvard, Vancouver, ISO, and other styles

18

Coffin Murray, Meg, and Jorge Pérez. "Informing and Performing: A Study Comparing Adaptive Learning to Traditional Learning." Informing Science: The International Journal of an Emerging Transdiscipline 18 (2015): 111–25. http://dx.doi.org/10.28945/2165.

Full text

Abstract:

Technology has transformed education, perhaps most evidently in course delivery options. However, compelling questions remain about how technology impacts learning. Adaptive learning tools are technology-based artifacts that interact with learners and vary presentation based upon that interaction. This paper compares adaptive learning with a conventional teaching approach implemented in a digital literacy course. Current research explores the hypothesis that adapting instruction to an individual’s learning style results in better learning outcomes. Computer technology has long been seen as an

APA, Harvard, Vancouver, ISO, and other styles

19

El, Fazazi H., M. Elgarej, M. Qbadou, and K. Mansouri. "Design of an Adaptive e-Learning System based on Multi-Agent Approach and Reinforcement Learning." Engineering, Technology & Applied Science Research 11, no. 1 (2021): 6637–44. https://doi.org/10.48084/etasr.3905.

Full text

Abstract:

Adaptive e-learning systems are created to facilitate the learning process. These systems are able to suggest the student the most suitable pedagogical strategy and to extract the information and characteristics of the learners. A multi-agent system is a collection of organized and independent agents that communicate with each other to resolve a problem or complete a well-defined objective. These agents are always in communication and they can be homogeneous or heterogeneous and may or may not have common objectives. The application of the multi-agent approach in adaptive e-learning systems ca

APA, Harvard, Vancouver, ISO, and other styles

20

Dr., Deepak Kem. "Personalised and Adaptive Learning: Emerging Learning Platforms in the Era of Digital and Smart Learning." International Journal of Social Science and Human Research 05, no. 2 (2022): 385–91. https://doi.org/10.5281/zenodo.5955678.

Full text

Abstract:

The learning process is never-ending. It is a continuous process through every phase and stage of human life. Man always seeks new lessons and ideas and adapt to new surroundings and changes. In this process, several platforms and tools make the learning effective. These tools also provide proper translation services from the official language into any other language, enabling a learning experience for every learner individually stipulating unique paths for learning, including teaching the previous experience, skills, and knowledge. Numerous adaptive tools assist learners in experiencing the l

APA, Harvard, Vancouver, ISO, and other styles

21

Mohamed, Benfarha, and Sefian Lamarti Mohamed. "A comparative study of characteristics and preferences to learner models in educational adaptive hypermedia systems." Global Journal of Engineering and Technology Advances 15, no. 1 (2023): 033–40. https://doi.org/10.5281/zenodo.7932162.

Full text

Abstract:

Educational adaptive hypermedia systems are online learning systems that aim to tailor the learning experience to the characteristics and needs of individual learners. These systems use a variety of techniques, including data analysis, machine learning, and dynamic adaptive user interface, to provide more effective and personalized learning for each learner. The learner models in their systems are designed to help them better understand the learner and tailor their learning experience, to do this their models take into account the characteristics of the learner, such as their learning style, e

APA, Harvard, Vancouver, ISO, and other styles

22

Er-Radi, Hicham, Souhaib Aammou, and Aymane Jdidou. "PERSONALIZED LEARNING THROUGH ADAPTIVE CONTENT MODIFICATION." Conhecimento & Diversidade 15, no. 39 (2023): 263–75. http://dx.doi.org/10.18316/rcd.v15i39.11153.

Full text

Abstract:

This research aims to explore the effectiveness of adaptive learning systems in dynamically modifying content to align with the abilities and knowledge levels of individual learners. By employing data analytics and machine learning algorithms, the study examines how content difficulty adjustment, pacing, content selection, and adaptive feedback contribute to a personalized learning experience. This study embarked on an exploration of the efficacy and implications of adaptive learning systems across diverse educational settings: K-12 classrooms, higher educational institutions, and corporate tr

APA, Harvard, Vancouver, ISO, and other styles

23

Halimovich, Yuldashev Abdusamat, and Ermatov Axror Baxtiyorjon Ogli. "Increasing Learning Efficiency Using Adaptive Testing Technology." American Journal of Engineering And Techonology 03, no. 02 (2021): 31–41. http://dx.doi.org/10.37547/tajet/volume03issue02-05.

Full text

Abstract:

Purpose: The article describes a set of software developed for adaptive testing technology in the implementation of an objective assessment of students' knowledge. There is also information about the possibility of computerizing education, reducing the unproductive live work of teachers, preserving the methodological potential of experienced professors, installing computer software for management. Methods: It is noted that the experiments were carried out by 2nd year students of the Andijan Machine-Building Institute in the direction of "Ground transport systems and their operation." Results:

APA, Harvard, Vancouver, ISO, and other styles

24

Moustafa, Ahmed. "On Learning Adaptive Service Compositions." Journal of Systems Science and Systems Engineering 30, no. 4 (2021): 465–81. http://dx.doi.org/10.1007/s11518-021-5498-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Velusamy, Balasubramanian, S. Margret Anouneia, and George Abraham. "Reinforcement Learning Approach for Adaptive E-learning Systems using Learning Styles." Information Technology Journal 12, no. 12 (2013): 2306–14. http://dx.doi.org/10.3923/itj.2013.2306.2314.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Koutsantonis, Dionisios, Konstantinos Koutsantonis, Nikolaos P. Bakas, Vagelis Plevris, Andreas Langousis, and Savvas A. Chatzichristofis. "Bibliometric Literature Review of Adaptive Learning Systems." Sustainability 14, no. 19 (2022): 12684. http://dx.doi.org/10.3390/su141912684.

Full text

Abstract:

In this review paper, we computationally analyze a vast volume of published articles in the field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a query with search terms targeting the area of Adaptive Learning Systems by utilizing a combination of specific keywords. Accordingly, we apply a multidimensional scaling algorithm to construct bibliometric maps for keywords, authors, and references. Subsequently, we present the computational results for the studied dataset, reveal significant patterns appearing in the field of adaptive learning and the inter-item asso

APA, Harvard, Vancouver, ISO, and other styles

27

Del Vecchio, D., R. Marino, and P. Tomei. "Adaptive Learning Control for Feedback Linearizable Systems*." European Journal of Control 9, no. 5 (2003): 483–96. http://dx.doi.org/10.3166/ejc.9.483-496.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Gheibi, Omid, Danny Weyns, and Federico Quin. "Applying Machine Learning in Self-adaptive Systems." ACM Transactions on Autonomous and Adaptive Systems 15, no. 3 (2020): 1–37. http://dx.doi.org/10.1145/3469440.

Full text

Abstract:

Recently, we have been witnessing a rapid increase in the use of machine learning techniques in self-adaptive systems. Machine learning has been used for a variety of reasons, ranging from learning a model of the environment of a system during operation to filtering large sets of possible configurations before analyzing them. While a body of work on the use of machine learning in self-adaptive systems exists, there is currently no systematic overview of this area. Such an overview is important for researchers to understand the state of the art and direct future research efforts. This article r

APA, Harvard, Vancouver, ISO, and other styles

29

Pu, Haitao, Jinjiao Lin, Yanwei Song, and Fasheng Liu. "Adaptive Device Context Based Mobile Learning Systems." International Journal of Distance Education Technologies 9, no. 1 (2011): 44–56. http://dx.doi.org/10.4018/jdet.2011010103.

Full text

Abstract:

Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented. To provide device-independence mobile learning services, a context-aware mobile learning approach is proposed. Firstly, the formal definitions of contexts and their influence on mobile learning services

APA, Harvard, Vancouver, ISO, and other styles

30

Morris, R. W. "Adaptive learning systems: building an educational infrastructure." IEEE Technology and Society Magazine 18, no. 1 (1999): 43–45. http://dx.doi.org/10.1109/44.752244.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

PARK, B. H., TAE-YONG KUC, and JIN S. LEE. "Adaptive learning control of uncertain robotic systems." International Journal of Control 65, no. 5 (1996): 725–44. http://dx.doi.org/10.1080/00207179608921719.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Filimonova, Tamara Konstantinovna, Svetlana Aleksandrovna Yakimchuk, and Aina Abdulkhamidovna Musaeva. "ADAPTIVE LEARNING SYSTEMS: BENEFITS FOR STUDENTS AND." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 11/6, no. 152 (2024): 146–50. https://doi.org/10.36871/ek.up.p.r.2024.11.06.023.

Full text

Abstract:

In this article, we will talk about adaptive learning systems, their advantages over traditional methods and disadvantages, consider the main ways of using this technology, the concept and basic methods of development, discuss the role of the teacher in this structure. Given the impact of information technology and digitalization of modern education, which needs reforms, we can talk about the relevance of the chosen topic as one of the ways to solve this problem. In addition, we will consider examples of the use of adaptive systems in Russia and other countries such as the USA, Brazil and Aust

APA, Harvard, Vancouver, ISO, and other styles

33

Kuersten, Andreas. "Prudently Evaluating Medical Adaptive Machine Learning Systems." American Journal of Bioethics 24, no. 10 (2024): 76–79. http://dx.doi.org/10.1080/15265161.2024.2388759.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Narenda, Kumpati S. "Adaptive and learning systems: Theory and applications." Automatica 24, no. 2 (1988): 290–91. http://dx.doi.org/10.1016/0005-1098(88)90043-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Li, Dong-Juan, Li Tang, and Yan-Jun Liu. "Adaptive intelligence learning for nonlinear chaotic systems." Nonlinear Dynamics 73, no. 4 (2013): 2103–9. http://dx.doi.org/10.1007/s11071-013-0926-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Amzil, Ikram, Souhaib Aammou, and Youssef Jdidou. "Enhancing Adaptive Learning Systems with Advanced Performance Metrics." Cadernos de Educação Tecnologia e Sociedade 18, se1 (2025): 22–36. https://doi.org/10.14571/brajets.v18.nse1.22-36.

Full text

Abstract:

Adaptive learning systems are integral to contemporary educational technology, offering tailored educational content to meet individual student needs. The effectiveness of these systems significantly depends on accurately assessing learner performance and adaptability. This research is centered on implementing and evaluating sophisticated performance metrics for multi-class classification in adaptive learning systems to enhance their functionality in educational settings. The study aims to explore and validate various performance metrics that can critically enhance the functionality of adaptiv

APA, Harvard, Vancouver, ISO, and other styles

37

Sarnato, Ahmad Zain, Windy Dian Sari, Sri Tuti Rahmawati, Rachmat Hidayat, and Him Patry. "The Evolution of E-Learning Platforms: From U-Learning to AI-Driven Adaptive Learning Systems." Journal of Social Science Utilizing Technology 2, no. 2 (2024): 289–300. http://dx.doi.org/10.70177/jssut.v2i2.1131.

Full text

Abstract:

Background. Information and communication technology development has brought significant changes in how learning is carried out, primarily through e-learning platforms. From the introduction of u-learning (ubiquitous learning) that allows access to learning anywhere and anytime to the emergence of adaptive learning systems driven by artificial intelligence (AI), this evolution continues to change the educational landscape. Purpose. This study examines the evolution of e-learning platforms from u-learning to AI-based adaptive learning systems. The main focus is understanding how each developmen

APA, Harvard, Vancouver, ISO, and other styles

38

Sessa, Valerie I., Manuel London, and Marlee Wanamaker. "How multiteam systems learn." Team Performance Management: An International Journal 25, no. 1/2 (2019): 138–56. http://dx.doi.org/10.1108/tpm-06-2018-0039.

Full text

Abstract:

PurposeExtending a model of how teams learn, this paper aims to present a model of multiteam system (MTS) learning, comparing similarities and differences between how MTSs learn and how component teams learn. The paper describes the value of adaptive, generative and transformative learning for increasing MTS development over time.Design/methodology/approachThe model proposes that environmental demands trigger adaptive, generative and transformative MTS learning, which is further increased by the MTS’s readiness to learn. Learning can happen during performance episodes and during hiatus periods

APA, Harvard, Vancouver, ISO, and other styles

39

Vengerov, Alexander. "Organization Of Distributed Adaptive Learning." American Journal of Business Education (AJBE) 2, no. 7 (2009): 119–26. http://dx.doi.org/10.19030/ajbe.v2i7.4591.

Full text

Abstract:

The growing sensitivity of various systems and parts of industry, society, and even everyday individual life leads to the increased volume of changes and needs for adaptation and learning. This creates a new situation where learning from being purely academic knowledge transfer procedure is becoming a ubiquitous always-on essential part of all viable organizations, systems, processes and human lives. The form of learning, which becomes an essential integral part of coevolutionary adaptive efforts of individuals and socio-economic entities in their attempts to cope with change, supplements the

APA, Harvard, Vancouver, ISO, and other styles

40

Katsaris, Iraklis, and Nikolas Vidakis. "Adaptive e-learning systems through learning styles: A review of the literature." Advances in Mobile Learning Educational Research 1, no. 2 (2021): 124–45. http://dx.doi.org/10.25082/amler.2021.02.007.

Full text

Abstract:

The domain of education has taken great leaps by capitalizing on technology and the utilization of modern devices. Nowadays, the established term "one size fits all" has begun to fade. The research focuses on personalized solutions to provide a specially designed environment on the needs and requirements of the learner. The adaptive platforms usually use Learning Styles to offer a more effective learning experience. This review analyzes the learner model, adaptation module, and domain module, originating from the study of 42 papers published from 2015 to 2020. As more modern techniques for ada

APA, Harvard, Vancouver, ISO, and other styles

41

Moyo, Dr Samuel. "OPTIMIZING ADAPTIVE NEURO-FUZZY SYSTEMS FOR ENHANCED PHISHING DETECTION." International Journal of Intelligent Data and Machine Learning 2, no. 05 (2025): 8–13. https://doi.org/10.55640/ijidml-v02i05-02.

Full text

Abstract:

Phishing attacks continue to pose a significant and evolving threat to individuals and organizations, leading to substantial financial losses and compromising sensitive information [1]. Traditional detection methods, often reliant on static blacklists or rule-based systems, struggle to keep pace with the dynamic nature and increasing sophistication of these scams. This article explores the critical role of parameter optimization within Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for developing intelligent and robust phishing detection capabilities. ANFIS, by combining the learning capabilit

APA, Harvard, Vancouver, ISO, and other styles

42

Abuodha, Ms Lucy A., Mr Martin K. Busi, and Dr Nelson Masese. "Using Machine Learning Techniques to Enhance Adaptive Learning Management System in The Case of Kenyan Universities." International Journal of Research and Innovation in Social Science VIII, no. VII (2024): 385–91. http://dx.doi.org/10.47772/ijriss.2024.807032.

Full text

Abstract:

Universities in Kenya have a substantial increase in the use of learning management systems (LMSs) to support e-learning. These universities have adopted LMS to ensure that students are widely reached and at the same time experience effective learning. The universities have still not adopted Adaptive LMS to help in this learning approach. Adaptive learning management systems are designed to personalize the learning experience for each individual student, taking into account their unique needs and abilities. In combination with Machine Learning techniques (ML), such technology has unprecedented

APA, Harvard, Vancouver, ISO, and other styles

43

Rishi Venkat, Darshana Suresh, Anu Rai, Shubham Metha, and Dyuti Dave. "Transforming learning through artificial intelligence: Evolution of guided learning systems." International Journal of Science and Research Archive 13, no. 2 (2024): 4334–40. https://doi.org/10.30574/ijsra.2024.13.2.2045.

Full text

Abstract:

Artificial intelligence powered learning systems are transforming the learning landscape by using advanced algorithms and comprehensive data to deliver a highly personalized and adaptive learning experience. These systems analyze learner behavior, preferences, and outcomes at the macro and micro levels. This allows them to provide tailored content recommendations. adaptive assessment and tailored learning paths. Adaptive systems are those that are able to continuously learn from user interactions and feedback. An AI-powered recommendation system can dynamically adjust recommendations. This ens

APA, Harvard, Vancouver, ISO, and other styles

44

Zhou, Zikai. "Design and analysis of adaptive control systems: Adaptive control algorithms using machine learning." Applied and Computational Engineering 39, no. 1 (2024): 51–56. http://dx.doi.org/10.54254/2755-2721/39/20230577.

Full text

Abstract:

A growing field of research is the use of adaptive control algorithms with machine learning techniques like Q-learning and SARSA. With prospective applications in robotics, healthcare, and other fields, this interdisciplinary method strives to combine the stability and robustness of conventional control systems with the self-learning skills of reinforcement learning. Making sure that systems are stable and that learning occurs effectively is the main research problem. This paper demonstrates the stability and convergence of existing adaptive control algorithms when integrating with machine lea

APA, Harvard, Vancouver, ISO, and other styles

45

Marienko, Maiia, Yulia Nosenko, Alisa Sukhikh, Viktor Tataurov, and Mariya Shyshkina. "Personalization of learning through adaptive technologies in the context of sustainable development of teachers’ education." E3S Web of Conferences 166 (2020): 10015. http://dx.doi.org/10.1051/e3sconf/202016610015.

Full text

Abstract:

The article highlights the issues of personalized learning as the global trend of the modern ICTbased educational systems development. The notion, the main stages of evolution, the main features and principles of adaptive learning systems application for teachers’ training are outlined. It is emphasized that the use and elaboration of the adaptive cloud-based learning systems are essential to provide sustainable development of teachers’ education. The current trends and peculiarities of the cloud-based adaptive learning systems development and approach of their implementation for teachers’ tra

APA, Harvard, Vancouver, ISO, and other styles

46

Santoianni, Flavia, and Alessandro Ciasullo. "Adaptive Design for Educational Hypermedia Environments and Bio-Educational Adaptive Design for 3D Virtual Learning Environments." Research on Education and Media 10, no. 1 (2018): 30–41. http://dx.doi.org/10.1515/rem-2018-0005.

Full text

Abstract:

Abstract Adaptive learning environments design has been originally influenced by the adaptive learning environments model, which has been recently re-shaped by the bio-educational adaptive approach. Adaptive and bio-educational models share the common main idea that education should be adaptive. Since the 90’s the adoption of an adaptive educational point of view have been at the base of adaptive educational hypermedia systems, which design joins interest towards learners’ individual differences with adaptive learning environments research. Educational hypermedia systems have been overcome by

APA, Harvard, Vancouver, ISO, and other styles

47

Grubišić, Ani, Slavomir Stankov, and Branko Žitko. "Adaptive Courseware: A Literature Review." JUCS - Journal of Universal Computer Science 21, no. (9) (2015): 1168–209. https://doi.org/10.3217/jucs-021-09-1168.

Full text

Abstract:

This paper gives a detailed description of how adaptivity is realized in e-learning systems, with a focus on adaptivity of courseware. The review aims to answer three basic questions on adaptive courseware: what has been adapted, how and why. Researchers have tried to adapt according to these different elements: student knowledge, behaviour, interests, preferences, learning style, cognitive style, goals, courseware presentation, navigation, annotation, sequencing and knowledge testing. An historical background of adaptivity is described: from word definition, through adaptive instructions and

APA, Harvard, Vancouver, ISO, and other styles

48

LIN, CHENG-JIAN, and CHIN-TENG LIN. "ADAPTIVE FUZZY CONTROL OF UNSTABLE NONLINEAR SYSTEMS." International Journal of Neural Systems 06, no. 03 (1995): 283–98. http://dx.doi.org/10.1142/s0129065795000214.

Full text

Abstract:

This paper addresses the structure and an associated on-line learning algorithm of a feedforward multilayer connectionist network for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed Fuzzy Adaptive Learning Control Network (FALCON) can be contrasted with the traditional fuzzy logic control systems in their network structure and learning ability. An on-line structure/parameter learning algorithm, called FALCON-ART, is proposed for constructing the FALCON dynamically. The FALCON-ART can partition the input/output space in a flexible way based on th

APA, Harvard, Vancouver, ISO, and other styles

49

Bordignon, Virginia, Vincenzo Matta, and Ali H. Sayed. "Adaptive Social Learning." IEEE Transactions on Information Theory 67, no. 9 (2021): 6053–81. http://dx.doi.org/10.1109/tit.2021.3094633.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Mettler, E., and P. Kellman. "Adaptive Sequencing in Perceptual Learning." Journal of Vision 10, no. 7 (2010): 1098. http://dx.doi.org/10.1167/10.7.1098.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!