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Journal articles on the topic 'Adaptive entry into the learning process'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Tajibayeva, Zh A., and Sh S. Saparbay. "PROBLEMS OF PSYCHOLOGICAL AND PEDAGOGICAL ADAPTATION OF REPATRIATED STUDENTS IN THE LEARNING PROCESS." BULLETIN Series Psychology 64, no. 3 (2020): 120–27. http://dx.doi.org/10.51889/2020-3.1728-7847.22.

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The article provides an overview of the study of adaptation problems, theoretical approaches and practical research. Adaptation of the individual is considered in relation to socialization and adaptation of the individual in society. The content, characteristics, and features of the adaptation process are also described. Various aspects of adaptation and the specifics of adaptive entry of students-repatriates into the educational space of the University are considered. The methodological foundations and research tools are presented, and a model of the process of psychological and pedagogical a

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Zhou, Yandong. "The Application of Intelligent Robots and Deep Learning in the Construction Management Platform System of Construction Engineering." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3277–87. http://dx.doi.org/10.12694/scpe.v25i5.3060.

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In order to solve the problem of duplicate data entry between construction management platform systems in construction engineering, the author proposes to apply RPA intelligent process robots to replace manual data collection, operation, entry, and verification. The design of the system is divided into overall architecture, instruction program loading process, human-machine interaction system level services, and other levels. An end-to-end procedural instruction transmission control method is adopted, establish a low-level control command output module for the online calibration system of the

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Diachenko, M. S., and A. G. Leonov. "Solving the problem of automating the learning process through experimental search for an individual educational trajectory." Informatics and education 39, no. 4 (2024): 14–26. http://dx.doi.org/10.32517/0234-0453-2024-39-4-14-26.

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The automation of the educational process and the introduction of adaptive learning are becoming the most effective ways to solve the problem of the shortage of highly qualified personnel under digitalization of education.The article proposes an approach to the formation of individual educational trajectories as a composition of pedagogical experiments, which is characterized by good interpretability in comparison with methods based on machine learning. This approach, unlike most modern parametric solutions, involves an experimental search for an individual educational trajectory for each stud

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Konstantynenko, Liudmyla. "THE USE OF INNOVATIVE TEACHING METHODS IN THETEACHING OF BIOLOGICAL SCIENCES IN HIGHER EDUCATIONINSTITUTIONS." Scientific Journals of the International Academy of Applied Sciences in Lomza 81, no. 1 (2021): 65–79. https://doi.org/10.58246/ehpe1v74.

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The article notes that at the stage of Ukraine’s entry into the market economy, Europe anintegration, building an independent state, democratization of society, humanization of higher education, student-centeredness there is a need to rethink the higher education system andabandon the adaptive model of learning in favor of personality-oriented education. The article clarifies the essence of the concept of «innovative teaching methods», substantiates the need for their introduction into the educational process and presents the results of a study on the effectiveness of innovative methods in tea

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Fetherston, Catherine Mary, Caroline Browne, Prue Andrus, and Sharryn Batt. "Renewal of an entry to practice baccalaureate nursing curriculum: Adapting to complexity." Journal of Nursing Education and Practice 8, no. 2 (2017): 104. http://dx.doi.org/10.5430/jnep.v8n2p104.

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Curriculum re-design in entry to practice nursing degrees requires a rigorous and multifaceted approach to align the needs of students, professional and industry stakeholders, community needs, the faculty’s vision and university and regulator requirements. This paper relates the initial steps in the process taken to achieve this re-design in one Australian university’s Bachelor of Nursing program, and describes our experiences in two parts. The first part outlines the context in which the need for curriculum renewal was triggered and the ensuing processes undertaken in the development of our n

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Britto, Maria T., Sandra C. Fuller, Heather C. Kaplan, et al. "Using a network organisational architecture to support the development of Learning Healthcare Systems." BMJ Quality & Safety 27, no. 11 (2018): 937–46. http://dx.doi.org/10.1136/bmjqs-2017-007219.

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The US National Academy of Sciences has called for the development of a Learning Healthcare System in which patients and clinicians work together to choose care, based on best evidence, and to drive discovery as a natural outgrowth of every clinical encounter to ensure innovation, quality and value at the point of care. However, the vision of a Learning Healthcare System has remained largely aspirational. Over the last 13 years, researchers, clinicians and families, with support from our paediatric medical centre, have designed, developed and implemented a network organisational model to achie

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Семененко, Інга Євгеніївна. "АНАЛІЗ ТЕОРЕТИЧНИХ ПІДХОДІВ ДО ВИЗНАЧЕННЯ ПОНЯТТЯ «ФАХОВА ПІДГОТОВКА» ІНОЗЕМНИХ СТУДЕНТІВ". Педагогіка та психологія, № 51 (25 листопада 2015): 228–37. https://doi.org/10.5281/zenodo.34202.

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<em>Theoretical approaches to the definition of notion «professional training» are analyzed in the article. The essence of notions «vocational education» and «professional training», which determine understanding of concept of «professional training» are clarified in the article; scientific works, that investigate the noted concept in accordance with the authors’ approaches are summarized and the main thesis that allow to improve the training of specialists of foreign students are distinguished. The attention is also focused on the componen

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Dachepalli, Veeresh. "A Smarter ERP: How Artificial Intelligence is Reshaping Enterprise Workflows." Journal of Artificial intelligence and Machine Learning 2, no. 2 (2024): 1–11. https://doi.org/10.55124/jaim.v2i2.265.

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This paper explores the integration of AI-driven process automation within Enterprise Resource Planning (ERP) systems to address inefficiencies in traditional business operations. By focusing on key areas such as data extraction and validation, inventory and supply chain management, and reporting, the proposed AI solution enhances operational efficiency and decision-making. The algorithm utilizes Natural Language Processing (NLP) and Optical Character Recognition (OCR) to automate data entry and validation, reducing errors and streamlining workflows. Predictive analytics powered by machine lea

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Zapana, Eber Apaza, Jesús Esteban Castillo Machaca, Alioska Jessica Martinez Garcia, and Mao Lusin Payehuanca Apaza. "In-person and Hybrid Learning in the Training of Professionals in Higher Education. An ict-centric Approach." Revista de Gestão Social e Ambiental 18, no. 4 (2024): e07081. http://dx.doi.org/10.24857/rgsa.v18n4-140.

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Objective: Creating more adaptive, dynamic, and student-centered learning environments that can meet the diverse needs and learning styles of students in the digital age. Methods: This study employs a qualitative approach through documentary research, enabling us to understand the integration of virtual inquiry into the classroom as a meaningful process for instructing university students. The study population consists of research conducted between 2018 and 2024, with the sample selected based on eligibility criteria. Inclusion criteria involve specific databases such as Scielo, Redalyc, Dialn

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Cárdenas, Monica, and Daniela Rocio Ramirez Orellana. "Progressive Reduction of Captions in Language Learning." Journal of Information Technology Education: Innovations in Practice 23 (2024): 002. http://dx.doi.org/10.28945/5263.

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Aim/Purpose: This exploratory qualitative case study examines the perceptions of high-school learners of English regarding a pedagogical intervention involving progressive reduction of captions (full, sentence-level, keyword captions, and no-captions) in enhancing language learning. Background: Recognizing the limitations of caption usage in fostering independent listening comprehension in non-captioned environments, this research builds upon and extends the foundational work of Vanderplank (2016), who highlighted the necessity of a comprehensive blend of tasks, strategies, focused viewing, an

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Arendt, Thomas, and Torsten Bullmann. "Neuronal plasticity in hibernation and the proposed role of the microtubule-associated protein tau as a “master switch” regulating synaptic gain in neuronal networks." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 305, no. 5 (2013): R478—R489. http://dx.doi.org/10.1152/ajpregu.00117.2013.

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The present paper provides an overview of adaptive changes in brain structure and learning abilities during hibernation as a behavioral strategy used by several mammalian species to minimize energy expenditure under current or anticipated inhospitable environmental conditions. One cellular mechanism that contributes to the regulated suppression of metabolism and thermogenesis during hibernation is reversible phosphorylation of enzymes and proteins, which limits rates of flux through metabolic pathways. Reversible phosphorylation during hibernation also affects synaptic membrane proteins, a pro

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Arjun Kumar Paruchuri. "Identity-first security architecture: Leveraging Microsoft Entra ID and Intelligent automation for enterprise digital transformation." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1539–46. https://doi.org/10.30574/wjaets.2025.15.3.1051.

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The evolution of enterprise security architectures has shifted from traditional network perimeter defenses to identity-centric models that recognize users, devices, and contextual signals as primary security boundaries. Microsoft's integrated cloud ecosystem, Entra ID, Power Platform, and Microsoft Defender, exemplifies this transformation by establishing identity as the foundational control plane for security and operational automation. This convergence enables organizations to implement dynamic Conditional Access policies that adapt to real-time risk assessments while simultaneously orchestr

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Daryanto, Taufiq, Xiaohan Ding, Lance T. Wilhelm, Sophia Stil, Kirk McInnis Knutsen, and Eugenia H. Rho. "Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback." Proceedings of the ACM on Human-Computer Interaction 9, GROUP (2025): 1–32. https://doi.org/10.1145/3701188.

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Job interviews play a critical role in shaping one's career, yet practicing interview skills can be challenging, especially without access to human coaches or peers for feedback. Recent advancements in large language models (LLMs) present an opportunity to enhance the interview practice experience. Yet, little research has explored the effectiveness and user perceptions of such systems or the benefits and challenges of using LLMs for interview practice. Furthermore, while prior work and recent commercial tools have demonstrated the potential of AI to assist with interview practice, they often

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Shcherbyna, Serhii, and Trokhym Babych. "Framework for Threat Management and Incident Response in IoT Systems." NaUKMA Research Papers. Computer Science 7 (May 12, 2025): 77–88. https://doi.org/10.18523/2617-3808.2024.7.77-88.

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The article presents the development and implementation of a framework for managing threats and responding to incidents in Internet of Things (IoT) systems. The proposed framework integrates elements of a distributed architecture, including Nginx as a load balancer, the MQTT HiveMQ broker, an authorization server, and the ELK Stack for data analysis and visualization. This solution ensures secure communication between IoT devices using the TLS protocol and employs advanced mechanisms for encryption, authentication, and authorization. Particular attention is paid to leveraging machine learning

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Santamaría-Buitrago, Frey Alfonso, Javier Antonio Ballesteros-Ricaurte, and Juan Sebastián González-Sanabria. "plataforma cloud computing como infraestructura tecnológica para laboratorios virtuales, remotos y adaptativos -Cloud computing as technologic infrastructure for virtual, remote and adaptive labs." Revista Científica 3, no. 23 (2016): 98. http://dx.doi.org/10.14483/udistrital.jour.rc.2015.23.a8.

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Actualmente las instituciones de educación superior desarrollan su docencia apoyada en los campus virtuales, en modalidad tanto presencial como semipresencial. De igual manera, la internacionalización de la enseñanza abre nuevos desafíos como: la creación de redes de investigación, espacios de trabajos compartidos, laboratorios virtuales y remotos, entre otros, apostando por sistemas de producción, publicación y distribución de contenidos educativos digitales que permitan compartir el conocimiento y el material educativo. La presente propuesta pretende potencializar el desarrollo de ecosistema

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Sapronova, Jа. "Psychological characteristics of women, serving a sentence of imprisonment." Bulletin of Science and Practice, no. 11 (November 15, 2017): 533–41. https://doi.org/10.5281/zenodo.1049180.

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On the basis of the study of criminal motivation of women in situations of imprisonment revealed that the causes of motivation to commit crimes is influenced by the events and the psychological state of women. Psychological peculiarities of formation of criminal motivation is expressed in increased anxiety, emotion, and sensibility, and social background of the formation of criminal motivation are: conflicts in the family, in the process of learning, the need for self-affirmation in society, the problems of material well-being. The study of psychological features of this category of prisoners

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González Hernández, Juan, and Alexandra Valadez Jiménez. "Personalidad y respuesta psicológica en deportistas. Representación temporal y adaptativa del proceso persona-deporte (Personality and psychological response in athletes. Temporal and adaptive representation of the person-sport process)." Retos, no. 30 (May 30, 2016): 211–15. http://dx.doi.org/10.47197/retos.v0i30.50267.

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Introducción. La identificación de las personas en un contexto de aprendizaje, contempla que sus rendimientos se consideren como parte de la construcción de su personalidad dentro de un proceso constantemente interactivo. En el ámbito deportivo, el deportista contempla tal interacción en un proceso adaptativo donde deben tenerse en cuenta variables psicológicas internas como externas. El presente estudio persigue ahondar en la variabilidad individual y contextual, teniendo en cuenta diferencias y relaciones, que a modo de esfuerzos adaptativos, influyen en la respuesta psicológica. Método. La

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Fagbore, Olasunbo Olajumoke, Jeffrey Chidera Ogeawuchi, Oluwatosin Ilori, Ngozi Joan Isibor, Azeez Odetunde, and Bolaji Iyanu Adekunle. "Optimizing Client Onboarding Efficiency Using Document Automation and Data-Driven Risk Profiling Models." Journal of Frontiers in Multidisciplinary Research 3, no. 1 (2022): 241–57. https://doi.org/10.54660/.jfmr.2022.3.1.241-257.

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Client onboarding is a critical process in financial services, investment management, and regulatory compliance, where speed, accuracy, and risk mitigation determine client experience and institutional integrity. This study explores the optimization of client onboarding efficiency through the integration of document automation and data-driven risk profiling models. Drawing from my direct contributions in onboarding operations, the research focuses on workflow innovations and automated documentation systems that streamline identity verification, compliance checks, and KYC procedures. Traditiona

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Cooper, David J., Susan Garvin, and John H. Kagel. "Signalling and Adaptive Learning in an Entry Limit Pricing Game." RAND Journal of Economics 28, no. 4 (1997): 662. http://dx.doi.org/10.2307/2555781.

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Williams, Mark D., Craig N. Sawchuk, Nathan D. Shippee, et al. "A quality improvement project aimed at adapting primary care to ensure the delivery of evidence-based psychotherapy for adult anxiety." BMJ Open Quality 7, no. 1 (2018): e000066. http://dx.doi.org/10.1136/bmjoq-2017-000066.

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Primary care patients frequently present with anxiety with prevalence ratios up to 30%. Brief cognitive–behavioural therapy (CBT) has been shown in meta-analytic studies to have a strong effect size in the treatment of anxiety. However, in surveys of anxious primary care patients, nearly 80% indicated that they had not received CBT. In 2010, a model of CBT (Coordinated Anxiety Learning and Management (CALM)) adapted to primary care for adult anxiety was published based on results of a randomised controlled trial. This project aimed to integrate an adaptation of CALM into one primary care pract

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Cooper, David J., Susan Garvin, and John H. Kagel. "ADAPTIVE LEARNING vs. EQUILIBRIUM REFINEMENTS IN AN ENTRY LIMIT PRICING GAME*." Economic Journal 107, no. 442 (1997): 553–75. http://dx.doi.org/10.1111/j.1468-0297.1997.tb00027.x.

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Baldwin, John R., and Mohammed Rafiquzzaman. "Selection and Learning in the Post-Entry Process." Canadian Journal of Economics 29 (April 1996): S455. http://dx.doi.org/10.2307/136086.

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Lv, Feiya, Chenglin Wen, and Meiqin Liu. "Representation learning based adaptive multimode process monitoring." Chemometrics and Intelligent Laboratory Systems 181 (October 2018): 95–104. http://dx.doi.org/10.1016/j.chemolab.2018.07.011.

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Dubrovina, N. A., and E. S. Naboichenko. "THE OPTIMISATION OF PARENTING PERSONAL POTENTIAL AS AN ASPECT OF SUPPORT FOR FAMILIES OF CHILDREN WITH MOVEMENT DISORDERS." Education and science journal 20, no. 8 (2018): 129–47. http://dx.doi.org/10.17853/1994-5639-2018-8-129-147.

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Introduction. In the system of preschool education, parents are full participants of the learning process. It is highly problematic to provide the efficiency of the educational process without involving parents, especially, in the case of younger children with special healthcare needs (CSHCN). Successful psychological and pedagogical guidance to children with movement disorders is hardly possible without the participation of the closest people. The future of children directly depends on the psychological state of their parents and their ability to provide the necessary assistance. Nevertheless

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Cao, Bin, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, and Qiang Yang. "Adaptive Transfer Learning." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 407–12. http://dx.doi.org/10.1609/aaai.v24i1.7682.

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Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the target task be related, even though many tasks are not related in reality. However, when two tasks are unrelated, the knowledge extracted from a source task may not help, and even hurt, the performance of a target task. Thus, how to avoid negative transfer and then ensure a "safe transfer" of knowledge is crucial in transfer learning. In this paper, we propose an Adaptive Transfer learning algorithm based on Gaussian

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Graorkoski, Velimir, and Ana Madevska-Bogdanova. "Instantiation in Partial Learning." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 1 (2014): 59. http://dx.doi.org/10.11591/ijict.v3i1.pp59-66.

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<p class="western"><span>The adaptive learning systems are changing the learning process as we know it. One of the advantages they have over the traditional ways of learning is the attempt to adapt to the learner's capabilities in order to deliver the knowledge as optimizing as possible. Even in such sophisticated implementations there are differences in the treatment of the adaptive learning.</span></p> <p class="western"><span>During the past years spent in research of different aspects of the adaptive learning, we made a distinction of our latest developm

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Tursynova, T. T., K. M. Saginov, and S. M. Bakhisheva. "Application of adaptive learning technology in the educational process." Bulletin of Kazakh National Women's Teacher Training University, no. 2 (June 27, 2023): 98–112. http://dx.doi.org/10.52512/2306-5079-2023-94-2-98-112.

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This article discusses the problem of applying the adaptive learning system in secondary schools and universities. In this technology, the main place is given to the student, his activities, personal qualities. Special attention is paid to the formation of their reading skills. The use of adaptive learning technology in the educational process is now becoming more common. Adaptive learning is an approach that takes into account the individual abilities and needs of the student as much as possible. The use of adaptive technologies involves the integration of information and pedagogical technolo

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Guo, Minwen, Xiangyu Huang, Maodeng Li, Jinchang Hu, and Chao Xu. "Adaptive entry guidance for the Tianwen-1 mission." Astrodynamics 6, no. 1 (2022): 17–26. http://dx.doi.org/10.1007/s42064-021-0120-2.

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AbstractTo meet the requirements of the Tianwen-1 mission, adaptive entry guidance for entry vehicles, with low lift-to-drag ratios, limited control authority, and large initial state bias, was presented. Typically, the entry guidance law is divided into four distinct phases: trim angle-of-attack phase, range control phase, heading alignment phase, and trim-wing deployment phase. In the range control phase, the predictor—corrector guidance algorithm is improved by planning an on-board trajectory based on the Mars Science Laboratory (MSL) entry guidance algorithm. The nominal trajectory was des

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Jill, Oller, Griebel Gilkerson, Dale Jane, Bowman Hannon, and Hyunjoo Steven. "Adaptive Learning to Develop and Apply to Arabic Language Learning in Higher Education." Al-Hijr: Journal of Adulearn World 2, no. 2 (2023): 136–49. http://dx.doi.org/10.55849/alhijr.v2i2.544.

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Lately, many have been found in the implementation of learning processes using various methods. This can be seen by the number of learners that uses technology-based media that can improve and support the learning process in a university. The learning process is one of the most important things in the world of education. Education is said to be of high quality if, in the learning process, it can improve and develop the talents and skills that exist in students. The purpose of this study was to determine the learning process using Adaptive Learning in developing Arabic learning in universities.

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Bai, Jin Lan, Xiang Li, and Jun Sheng Wang. "Model Adaptive Learning in Process Control of Strip Cold Rolling." Applied Mechanics and Materials 423-426 (September 2013): 775–79. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.775.

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In this paper, mathematic models of processing parameters and their adaptive learning principle in strip cold rolling mill are introduced. Exponential smoothing method is used during model adaptive learning. According to the contrast between actual and calculated data, adaptive learning coefficients in the process control models are modified, thus the precision of presetting model is improved. Based on three kinds of adaptive learning modes, corresponding model adaptive learning program is developed for strip cold rolling. The practical application shows that the accuracy of this method can me

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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.

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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

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Tani, Go, Flávia Da Cunha Bastos, Iran Junqueira de Castro, Joaquim Felipe de Jesus, Rita de Cássia Sacay, and Solange De Cássia Elias Passos. "Response variability and adaptive process in motor learning." Revista Paulista de Educação Física 6, no. 1 (1992): 16. http://dx.doi.org/10.11606/issn.2594-5904.rpef.1992.138056.

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daptativo em aprendizagem motora. Trinta e duas estudantes universitárias foram aleatoriamente divididas em dois grupos, GC e GE, tendo executado 25 tentativas na fase de estabilização e 20 tentativas na fase de adaptação. O GC foi submetido à prática de resposta constante e o GE à prática de resposta variada, numa tarefa de coordenação bi-manual. As medidas utilizadas foram o tempo de execução das tentativas e o número de erros. A análise de variância a dois fatores (2 grupos x 5 blocos) com medidas repetidas no segundo fator indicou que em relação ao erro houve efeito de aprendizagem no GC e

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Barabba, Vincent. "Learning by revisiting assumptions: an adaptive decision process." Strategy & Leadership 46, no. 3 (2018): 37–44. http://dx.doi.org/10.1108/sl-02-2018-0012.

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Purpose This article demonstrates the value of adding a learning and adaptation component into the decision-making process. Design/methodology/approach By reviewing the case of Kodak’s decision not to focus its investments in digital technology in the 1980s the article introduces The Learning and Adaptation Decision Process, a model enables a firm to reassess analysis about future market disruptions and opportunities Findings Organizations need decision processes that are designed to be reviewed and rethought so they continue to provide fresh insight into how to prepare for disruptions and opp

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Wu, Hao, and Jinsong Zhao. "Self-adaptive deep learning for multimode process monitoring." Computers & Chemical Engineering 141 (October 2020): 107024. http://dx.doi.org/10.1016/j.compchemeng.2020.107024.

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Blishun, A. F. "Fuzzy adaptive learning model of decision-making process." Fuzzy Sets and Systems 18, no. 3 (1986): 273–82. http://dx.doi.org/10.1016/0165-0114(86)90006-0.

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Lhafra, Fatima Zohra, and Otman Abdoun. "Integration of Adaptive Collaborative Learning Process in a Hybrid Learning Environment." International Journal on Advanced Science, Engineering and Information Technology 13, no. 2 (2023): 638. http://dx.doi.org/10.18517/ijaseit.13.2.16608.

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Ni Made Suciani. "Implementation of Adaptive Core Value." Monas: Jurnal Inovasi Aparatur 6, no. 1 (2024): 22–35. http://dx.doi.org/10.54849/monas.v6i1.178.

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This research aims to describe how the Adaptive Core Value learning process can explain the Adaptive performance profile of Basic Training participants for Agenda II Civil Servant Candidates using the classical training model. The learning process for participants aims to understand the concept of Adaptiveness and actualize adaptive values in carrying out their job duties. From the concept findings and implementation, the learning process achieved will be put into practice and described; in addition to that, an instrument will be developed to see the participant's adaptive performance profile.

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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.

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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

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Wagner, Holly H., and Nicole R. Hill. "Becoming Counselors Through Growth and Learning: The Entry Transition Process." Counselor Education and Supervision 54, no. 3 (2015): 189–202. http://dx.doi.org/10.1002/ceas.12013.

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Chiva, Ricardo, and Johanna Habib. "A framework for organizational learning: zero, adaptive and generative learning." Journal of Management & Organization 21, no. 3 (2015): 350–68. http://dx.doi.org/10.1017/jmo.2014.88.

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AbstractAlthough organizational learning types like adaptive and generative learning are considered to follow different processes, a general framework of organizational learning that includes them has remained elusive. In order to do so, we propose a framework that embraces them and incorporates facets such as consciousness and emotions, which are strongly related to organizational learning but had not been included in any model. These facets are essential in the framework as they bind the process together and represent a sequence and progression through the learning process.

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Anindyaputri, Natasha Alyaa, Rosihan Ari Yuana, and Puspanda Hatta. "Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review." Open Engineering 10, no. 1 (2020): 820–29. http://dx.doi.org/10.1515/eng-2020-0092.

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AbstractThere have been some hindrances in the process of programming learning. An adaptive learning system, such as ELaC, Java Guide, and Java Grader provides an adaptable learning content that can accommodate the learning styles as well as preferences of each learning individual. Moreover, an adaptive learning system can help students of different capabilities in learning programming. This study examined the outcomes of the implementation of an adaptive learning system in programming learning, as well as some finding results that were conducted according to the Systematic Literature Review f

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Kivuva, Faith Ngami, Elizaphan Maina, and Rhoda Gitonga. "Multi-Agent Adaptive e-Learning System Based on Learning Styles." Open Journal for Information Technology 4, no. 1 (2021): 1–12. http://dx.doi.org/10.32591/coas.ojit.0401.01001k.

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Most traditional e-learning system fails to provide the intelligence that a learner may require during their learning process. Different learners have different learning styles but the current e-learning systems are not able to provide personalized learning. In this paper, we discuss how intelligent agents can aid learners in their learning process. Three agents have been developed namely, learner agent, information agent, and tutor agents that will be integrated into a learning management system (Moodle). Learners are provided with a personalized recommendation based on the learning styles.

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Vainshtein, J. V., R. V. Esin, and G. M. Tsibulsky. "Learning Content Model: from Concept Structuring to Adaptive Learning." Open Education 25, no. 1 (2021): 28–39. http://dx.doi.org/10.21686/1818-4243-2021-1-4-28-39.

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The aim of the study. In modern conditions of changing the global “educational landscape”, the leading trend in building a new educational process management system is the personalization of the educational process in the electronic environment. New pedagogical technologies and innovative forms of organizing personalized learning in the electronic environment are developing, one of which is adaptive learning. The development of the structure and content of adaptive e-learning courses, the design and implementation of an educational strategy, teaching methods, and approaches to assessing result

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Ilmola, Leena, and Anna Kotsalo-Mustonen. "Filters in the Strategy Formulation Process." JUCS - Journal of Universal Computer Science 9, no. (6) (2003): 481–90. https://doi.org/10.3217/jucs-009-06-0481.

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In the fast moving businesses the ability to be flexible and adaptive to change is crucial. When monitoring their operating environments for weak signals and for other disruptive information companies face filters that hinder the entry of the information to the company. We are discussing three filters: mentality filter, surveillance filter and power filter. Each filter has a logic of its own that hinders effective knowledge flow. We introduce a software tool that helps to overcome these filters especially in a strategy formulation process.

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Govindhasamy, James J., Seán F. McLoone, George W. Irwin, John J. French, and Richard P. Doyle. "Reinforcement Learning for Online Industrial Process Control." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 1 (2005): 23–30. http://dx.doi.org/10.20965/jaciii.2005.p0023.

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Reinforcement learning, in the form of Adaptive Critic Designs (ACDs), have the ability to analyse or evaluate a situation and respond to it accordingly. They offer an excellent alternative for adaptively controlling and optimising the highly nonlinear processes found in industry. Here, an enhanced implementation of the action dependent adaptive critic design (ADAC) of Si and Wang [9] is investigated for modelling and control of an industrial grinding process used in the manufacture of hard disk drive platters. This study, one of the first reported industrial applications of this emerging tech

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Solovov, A. V., and A. A. Menshikova. "Cognitive modeling of adaptive learning processes." Ontology of Designing 14, no. 2 (2024): 181–95. http://dx.doi.org/10.18287/2223-9537-2024-14-2-181-195.

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An approach to modeling adaptive learning processes using signed and weighted directed graphs (digraphs) is exam-ined. The vertices of the digraphs represent the characteristics of educational activities. The orientation, signs, and weights of the digraph arcs define the mutual influence of these characteristics. The dynamics of adaptive learning are modeled within digraphs using a specific impulse process algorithm. An external disturbance is introduced into a partic-ular vertex of the digraph, and the propagation of this impulse is analyzed, enabling the prediction of values at other vertice

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Milutinovic, Milos, Zivko Bojovic, Aleksandra Labus, Zorica Bogdanovic, and Marijana Despotovic-Zrakic. "Ontology-based generated learning objects for mobile language learning." Computer Science and Information Systems 13, no. 2 (2016): 493–514. http://dx.doi.org/10.2298/csis141030004m.

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Adaptivity is an essential quality for any mobile learning process. When learning on the move, in short time intervals, the learning process is often limited, and content needs to be adapted in order to keep the interactions with the user simple, effective, and motivating. This paper presents a model for mobile adaptive language learning, with the main goal of improving the mobile language learning process using adaptive techniques. The presented model is designed in such a way to utilize unique opportunities for delivery of learning content in authentic learning situations. In order to allow

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Szijarto, Barbara, and J. Bradley Cousins. "Making Space for Adaptive Learning." American Journal of Evaluation 40, no. 2 (2018): 160–76. http://dx.doi.org/10.1177/1098214018781506.

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This article reports findings from a research program exploring the role of mediation in an “adaptive learning” process through study of developmental evaluation (DE). Our study focuses on how mediators might influence the relationships between components of a social learning system and the implications for adaptive learning. Specifically, we focused on evaluators making space for the interrogation of ideas and choices, why this is important, what strategies are used, and what challenges present. Data from a multiple case study of four DEs revealed multiple drivers behind a need to make space,

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Chen, Chyun-Chyi, Po-Sheng Chiu, and Yueh-Min Huang. "The Learning Style-Based Adaptive Learning System Architecture." International Journal of Online Pedagogy and Course Design 5, no. 2 (2015): 1–10. http://dx.doi.org/10.4018/ijopcd.2015040101.

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In the current study of learning process that show learners will take a different way and use different types of learning resources in order to learning better. Any many researchers also agree that learning materials must be able to meet the various learning styles of learners. Therefore, let learners can effective to improve their learning, for different learning styles of learners should be given different types of learning materials. In this paper the authors propose a learner's learning style-based adaptive learning system architecture that is designed to help learners advance their on-lin

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Chen, Yunxiao, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. "Recommendation System for Adaptive Learning." Applied Psychological Measurement 42, no. 1 (2017): 24–41. http://dx.doi.org/10.1177/0146621617697959.

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An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An im

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