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Journal articles on the topic 'Heuristic learning technologies'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Білоцерковець, М. А. "Застосування теоретичних знань у навчальних евристичних ситуаціях". Педагогіка та психологія : збірник наукових праць , № 49 (25 червня 2015): 67–74. https://doi.org/10.5281/zenodo.18973.

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The article under review reveals the essence of heuristic learning process with creative-research situations usage to enhance, test and practice mastered theoretical knowledge of the humanities. It is singled out that the effective implementation of heuristic learning techniques and creating learning situations in professional area should be based on the principles of heuristic education. These innovative forms of training include the following activities: determining the amount, content and nature of training for each topic by students, formulation of problem questions, constructing and heuri

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Rybalka, N. V. "CREATIVE TECHNOLOGIES APPLICATION IN THE PROCESS OF TEACHING A FOREIGN LANGUAGE." INTELLIGENCE. PERSONALITY. CIVILIZATION, no. 1 (26) (June 30, 2023): 5–13. http://dx.doi.org/10.33274/2079-4835-2023-26-1-5-13.

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Objective. The objective of the article is to consider and analyze creative pedagogical technologies for the developing foreign language communicative competence; identifying their main characteristics; familiarization with heuristic learning technologies and their classifications; consideration of examples of the use of language and group creative games as methods of creative writing and heuristic methods in the process of learning a foreign language. Methods. The main scientific results are obtained using such research methods as analysis of psychological and pedagogical literature, generali

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Yevdokimov, Victor. "HEURISTIC LEARNING TECHNOLOGIES IN THE TRAINING OF TEACHERS." Continuing Professional Education: Theory and Practice, no. 3-4 (2017): 51–56. http://dx.doi.org/10.28925/1609-8595.2017(3-4)5156.

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Giunta, Ines. "Heuristic Environments." Interaction Design and Architecture(s), no. 11_12 (September 20, 2011): 77–82. http://dx.doi.org/10.55612/s-5002-011_12-006.

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The purpose of this research is the identification of a paradigm which fixes the basic concepts and the type of logical relationships between them, whereby direct, govern and evaluate choises on new technologies. The contribution is based on the assumption that the complexity of knowledge is correlated with the complexity of the learning environment. From the existence of this correlation will descend a series of consequences that contribute to the definition of a theoretical construct in which the logical categories of learning become the guiding criteria on which to design learning environme

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Roscoe, Rod D., Stephanie McNicol, K. Raghav Bhat, and Scotty D. Craig. "A Heuristic Evaluative Framework for Self-Regulated Learning Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1775–79. http://dx.doi.org/10.1177/1071181320641429.

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Researchers and educators have explored a variety of technologies to facilitate self-regulated learning (SRL). Drawing from contemporary perspectives on SRL, this paper articulates two fundamental design principles for SRL-promoting technologies: the platform principle and the support principle. This paper then discusses how usability inspection methods, such as heuristic evaluations and cognitive walkthroughs, can readily assess whether and how these needs are met. This framework can assist researchers and educators in evaluating technologies to make strategic design and implementation decisi

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KOZACHENKO, Y. "TEACHING TECHNOLOGIES IN FOREIGN LANGUAGE TEACHING." ТHE SOURCES OF PEDAGOGICAL SKILLS, no. 26 (April 7, 2021): 94–97. http://dx.doi.org/10.33989/2075-146x.2020.26.227533.

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The article identifies the main learning technologies used to teach students in higher medical education. Learning technologies have been found to help improve the learning process and improve learning outcomes. The main learning technologies used in working with students of higher medical educational institutions are analyzed. It is investigated that learning technologies influence the teaching of foreign languages. It was found that the use of research, simulation, information, problem-based learning and heuristic are common and used in foreign language teaching. It is concluded that f

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Borbolla, Veronica Falcon, Walter Boot, Andrew Dilanchian, et al. "HUMAN FACTORS ISSUES IN THE DESIGN OF VIRTUAL REALITY TO SUPPORT OLDER ADULTS’ SOCIAL AND COGNITIVE ENGAGEMENT." Innovation in Aging 7, Supplement_1 (2023): 1058. http://dx.doi.org/10.1093/geroni/igad104.3401.

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Abstract Emerging technologies such as virtual reality (VR) hold tremendous potential to improve the lives of older adults, including the opportunity to support social and cognitive engagement. However, this potential will only be realized if VR technologies and applications (apps) are well-designed, considering the needs, preferences, and abilities of older people. To explore and understand design barriers ahead of a randomized controlled trial testing the efficacy of a psychosocial VR intervention for older adults, a team of eight evaluators who underwent standardized and comprehensive train

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Vaisova, Nasiba Zokirjonovna. "IMPROVING LEARNING ACTIVITY OF STUDENTS BY TEACHING TASKS WITH PRACTICAL CONTENT USING THE HEURISTIC METHOD." INTERNATIONAL BULLETIN OF APPLIED SCIENCE AND TECHNOLOGY 2, no. 11 (2022): 207–11. https://doi.org/10.5281/zenodo.7376228.

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Skafa, E. I. "Organization of project-heuristic activity of future mathematics teachers in creating multimedia teaching tools." Informatics and education, no. 5 (July 16, 2021): 59–64. http://dx.doi.org/10.32517/0234-0453-2021-36-5-59-64.

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Now we can see a widespread introduction of modern digital technologies into the educational process in mathematics. These technologies can make learning more visual and accessible, implement an individual approach in teaching and manage the educationalcognitive heuristic activity of schoolchildren. The organization of project-heuristic activities in a higher pedagogical school can help prepare a future teacher for the development of computer-related tools. We refer to the means of digitalization of modern education as heuristic-didactic constructions in the form of computer programs for “non-

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Vazkaeva, S., and A. Ediev. "ISPOL'ZOVANIYE SOVREMENNYKH METODOV ELEKTRONNOGO OBUCHENIYA V VUZE." National Association of Scientists 4, no. 73 (2021): 26–30. http://dx.doi.org/10.31618/nas.2413-5291.2021.4.73.506.

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The article discusses the forms and methods that are optimal for use in e-learning: heuristic, research, game, diagnostic, information-receptive and reproductive. The e-learning environment today represents a wide range of educational technologies, methods and tools that can be used to organize full-fledged education at a university.

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Alexander, Chernov, Olga Shutova, and Irina Bulanova. "Dependence of Learning Activity When Mastering Competencies at Level of Professional Identity Development." SHS Web of Conferences 50 (2018): 01040. http://dx.doi.org/10.1051/shsconf/20185001040.

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The relation between the levels of professional identity and competencies being mastered in the learning process in high school is disputable. Empirical evidence shows the influence of the levels of the professional identity on the process of mastering competencies needed for the chosen profession. The results of the empirical research are of practical value. They can help to improve educational technologies that are used in high school. A set of educational technologies should reflect the efforts to achieve the levels of the professional identity suitable for change of the positive attitude t

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Yuan, Wang, Zhang Xiwen, Zhou Rong, Tang Shangqin, Zhou Huan, and Ding Wei. "Research on UCAV Maneuvering Decision Method Based on Heuristic Reinforcement Learning." Computational Intelligence and Neuroscience 2022 (March 3, 2022): 1–13. http://dx.doi.org/10.1155/2022/1477078.

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With the rapid development of unmanned combat aerial vehicle (UCAV)-related technologies, UCAVs are playing an increasingly important role in military operations. It has become an inevitable trend in the development of future air combat battlefields that UCAVs complete air combat tasks independently to acquire air superiority. In this paper, the UCAV maneuver decision problem in continuous action space is studied based on the deep reinforcement learning strategy optimization method. The UCAV platform model of continuous action space was established. Focusing on the problem of insufficient expl

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Bilotserkovets, Maryna, and Olha Berestok. "Implementation of heuristic learning technologies for theoretic concepts formation by students mastering agricultural professions." Engineering and Educational Technologies 7, no. 1 (2019): 36–45. http://dx.doi.org/10.30929/2307-9770.2019.07.01.04.

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Qian, Hong, Ming Xiang Sui, Yun Fei Jiang, Dong Hui Zhang, and Heng Guo. "A Scalable Heuristic Based on Hypercube Graph for Automated Planner." Key Engineering Materials 474-476 (April 2011): 1830–35. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1830.

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There are much research into Artificial Intelligence (AI) and Semantic Web over the past few years and intelligent behaviour such as learning, analysing, problem solving, planning and abstracting is displayed by modern computer systems. Automatically acquiring domain-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training material. In planning, there is a novel ways to search knowledge when solving problems. This Paper presents a new heuristic for carrying out searches of training material, where metadata and the knowledge build into them are

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Krylova, Maria, Yulia Novikova, Irina Totskaya, and Irina Ostapenko. "Traditional and Innovative Educational Technologies at the University through the E-Learning Prism." SHS Web of Conferences 110 (2021): 03002. http://dx.doi.org/10.1051/shsconf/202111003002.

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The article is dedicated to comprehension the process of technological education in relation to E-learning. The relevance of the study is determined by the situation connected with the COVID-19 coronavirus pandemic, which required various educational organizations complete transition to distance learning for an indefinite period. It is noted that various educational technologies have been gaining new implementations in the conditions of distance education. The trend towards the gradual rejection of traditional (explanatory and illustrative) teaching methods and the transition to innovative tec

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Kiianovska, Nataliia, Natalia Rashevska, and Natalia Kharadzjan. "ANALYSIS OF TEACHING METHODS WITH THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE STUDY OF HIGHER MATHEMATICS BY TECHNICAL STUDENTS." Academic Notes Series Pedagogical Science 1, no. 194 (2021): 129–34. http://dx.doi.org/10.36550/2415-7988-2021-1-194-129-134.

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The researchers of methodological tools for differentiation of training higher mathematics at technical universities are chosen different methods approach to teaching mathematics, which provides the organization of mastering the content of professionally directed training of mathematics preparation students through the introduction of a teaching productive learning method. To identify methodological features of using productive learning methods of training higher mathematics engineer students at technical universities. We can’t underestimate the important role of mathematical training in the p

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Filimonova, I. "IMPLEMENTATION OF MODERN EDUCATIONAL PRACTICES IN THE PROCESS OF PROFESSIONAL TRAINING OF FUTURE BACHELOR OF FOOD TECHNOLOGIES." Sciences of Europe, no. 125 (September 23, 2023): 17–20. https://doi.org/10.5281/zenodo.8371855.

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The article reveals the main approaches to determining the place of modern educational practices in the process of professional training of future food technology bachelors, reveals the essence of innovative technologies as an example of the specified learning practices and the potential of professional disciplines regarding their use in the educational process of higher education institutions. The author draws attention to the need to use active forms of educational and cognitive work as a guarantee of successful mastering of professional disciplines by students of higher education. The artic

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USENKO, NATALIA. "THE FORMATION OF MEDICAL STUDENTS’ COMMUNICATIVE COMPETENCIES IN THE PROCESS OF HEURISTIC LEARNING OF A FOREIGN LANGUAGE." Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University. Series: pedagogy, no. 2 (April 6, 2021): 133–40. http://dx.doi.org/10.25128/2415-3605.20.2.18.

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The article substantiated the feasibility of using heuristic technologies of studying at the foreign language lessons. The characteristics and peculiarities of heuristic development of material in a foreign language are investigated: the ability independently to define the purpose, tasks, methods of independent educational work, creatively rethink and transform the acquired knowledge and methods of cognitive activity, the ability to create their own educational products (original new knowledge and methods of activity) and to evaluate adequately the process and results of independent cognitive

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Shirokikh, A. Yu. "Technologies in Listening Comprehension and Teaching English to Non-linguistic Students." Humanities and Social Sciences. Bulletin of the Financial University 12, no. 3 (2022): 124–28. http://dx.doi.org/10.26794/2226-7867-2022-12-c-124-128.

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The article looks upon bottom-up and top-down approaches in listening comprehension. The overview of the strategies is based on the shift between language systems and language skills, focus on form versus focus on content, as well as students’ difficulties caused by phonological peculiarities of English native speakers’ talk. The author addresses the issues of pragmatics and background knowledge, types of inferences in receptive modes of communication, interactive tasks and their importance for decoding foreign language massages, compensatory and affective strategies in teaching, heuristic and

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Abushkin, Haris KH, Anna A. Kharitonova, Nikolay N. Khvastunov, and Maksim V. Gorshunov. "Problem-based learning in secondary school: Status and prospects." Cypriot Journal of Educational Sciences 13, no. 4 (2018): 444–50. http://dx.doi.org/10.18844/cjes.v13i4.3896.

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Problem-based learning is one of the promising innovative technologies of the educational process in the school. This article presents the materials of research devoted to determining the rating and status of problem education in secondary school. Based on the analysis of the results of the conducted experiment, the main difficulties of teachers in the organization of problem education and the reasons for its low rating in secondary school are revealed. The developed recommendations are presented, the implementation of which, in our opinion, would improve the status of problem education in sec

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Alencar, Danila, Paulo Martins, Cecílio Rodas, and Ricardo Sant'Ana. "User Experience: usability analysis of the e-Campo virtual learning environment (EMBRAPA)." RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação 21 (December 21, 2022): 1–14. http://dx.doi.org/10.20396/rdbci.v21i00.8671313/32073.

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Introduction: Users of digital environments have specific characteristics that differ from their social context and the degree of usability of Information and Communication Technologies to access the most different informational platforms, in which such particularities must be considered to meet the informational needs of these individuals and provide a better experience in digital environments. A discipline that proposes to investigate aspects related to user experience in digital environments is User Experience (UX), and from the application of usability techniques it is possible to identify

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Wang, Shikai, Kangming Xu, and Zhipeng Ling. "Deep Learning-Based Chip Power Prediction and Optimization: An Intelligent EDA Approach." International Journal of Innovative Research in Computer Science and Technology 12, no. 4 (2024): 77–87. http://dx.doi.org/10.55524/ijircst.2024.12.4.13.

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This paper explores the integration of deep learning techniques in Electronic Design Automation (EDA) tools, focusing on chip power prediction and optimization. We investigate the application of advanced AI technologies, including attention mechanisms, machine learning, and generative adversarial networks (GANs), to address complex challenges in modern chip design. The study examines the transition from traditional heuristic-based methods to data-driven approaches, highlighting the potential for significant improvements in design efficiency and performance. We present case studies demonstratin

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Dutta, Ashit Kumar. "Detecting phishing websites using machine learning technique." PLOS ONE 16, no. 10 (2021): e0258361. http://dx.doi.org/10.1371/journal.pone.0258361.

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In recent years, advancements in Internet and cloud technologies have led to a significant increase in electronic trading in which consumers make online purchases and transactions. This growth leads to unauthorized access to users’ sensitive information and damages the resources of an enterprise. Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as b

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Hobson, J. Allan, Edward F. Pace-Schott, and Robert Stickgold. "Dream science 2000: A response to commentaries on Dreaming and the brain." Behavioral and Brain Sciences 23, no. 6 (2000): 1019–35. http://dx.doi.org/10.1017/s0140525x00954025.

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Definitions of dreaming are not required to map formal features of mental activity onto brain measures. While dreaming occurs during all stages of sleep, intense dreaming is largely confined to REM. Forebrain structures and many neurotransmitters can contribute to sleep and dreaming without negating brainstem and aminergic-cholinergic control mechanisms. Reductionism is essential to science and AIM has considerable heuristic value. Recent findings support sleep's role in learning and memory. Emerging technologies may address long-standing issues in sleep and dream research.

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BAUJARD, Corinne. "De la formation e-Learning à une démarche heuristique de l'apprentissage organisationnel." Management international 11, no. 3 (2007): 37–52. http://dx.doi.org/10.59876/a-p1c9-8dvg.

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E-learning experiments carried out in the field of training often prove disappointing. Therefore, adoption motives, the assessment of which is a growing concern for companies, have to be examined. Which learning methods encourage e-learning adoption? Can new technologies encourage organisational learning? From an epistemological point of view, these questions are in keeping with the social perspective which is developing in the field of information systems. The Grounded Theory is applied to interviews carried out with companies following an inductive approach. From a heuristic point of view, t

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Ramli, Ratna Zuarni, Noraidah Sahari @ Ashaari, Siti Fadzilah Mat Noor, et al. "Assessing Usability of Learning Experience Prototype." International Journal of Emerging Technologies in Learning (iJET) 17, no. 09 (2022): 20–36. http://dx.doi.org/10.3991/ijet.v17i09.29955.

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The boost of mobile devices and internet technologies has led to the development of new content geared to enhance the learning experience of students while simultaneously ensuring the economizing of the teacher’s time. The era of industrial revolution 4.0 transformed many aspects of life including the basic approaches towards teaching and learning. The needs and demands of students and teachers are changing in line with the revolution of emerging technologies. However, even with the advent of technology, STEM subjects are yet to fully grasp the attention of students. Learning especially in sec

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Qvist, Pekka, Tuomas Kangasniemi, Sonja Palomäki, et al. "Design of Virtual Learning Environments: Learning Analytics and Identification of Affordances and Barriers." International Journal of Engineering Pedagogy (iJEP) 5, no. 4 (2015): 64. http://dx.doi.org/10.3991/ijep.v5i4.4962.

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The future of educational technology has been envisioned to have increasing focus on simulations, game based learning, virtual learning environments and virtual worlds. The technologies aim to provide authentic learning and enable deeper, more complex and contextual understanding for students. To study the impact of virtual learning environments for natural sciences and engineering education, we have designed and implemented a virtual laboratory, LabLife3D, in Second Life. To date we have designed six virtual laboratory exercises in the biological sciences and chemistry and additionally create

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Lazzarini, Nicola, and Jaume Bacardit. "RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers." BMC Bioinformatics 18, no. 1 (2017): 322. https://doi.org/10.1186/s12859-017-1729-2.

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<strong>Background: </strong>Current -<i>omics</i> technologies are able to sense the state of a biological sample in a very wide variety of ways. Given the high dimensionality that typically characterises these data, relevant knowledge is often hidden and hard to identify. Machine learning methods, and particularly feature selection algorithms, have proven very effective over the years at identifying small but relevant subsets of variables from a variety of application domains, including -omics data. Many methods exist with varying trade-off between the size of the identified variable subsets

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Feehan, Michael, Leah A. Owen, Ian M. McKinnon, and Margaret M. DeAngelis. "Artificial Intelligence, Heuristic Biases, and the Optimization of Health Outcomes: Cautionary Optimism." Journal of Clinical Medicine 10, no. 22 (2021): 5284. http://dx.doi.org/10.3390/jcm10225284.

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The use of artificial intelligence (AI) and machine learning (ML) in clinical care offers great promise to improve patient health outcomes and reduce health inequity across patient populations. However, inherent biases in these applications, and the subsequent potential risk of harm can limit current use. Multi-modal workflows designed to minimize these limitations in the development, implementation, and evaluation of ML systems in real-world settings are needed to improve efficacy while reducing bias and the risk of potential harms. Comprehensive consideration of rapidly evolving AI technolog

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Hardiyanti, Margareta. "Accessibility Evaluation of Interactive Learning Mobile Applications for Individuals with Intellectual Disabilities." International Journal of Information and Education Technology 14, no. 3 (2024): 426–34. http://dx.doi.org/10.18178/ijiet.2024.14.3.2063.

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In today’s education sector, mobile technologies, including tablets and smartphones, have become integral tools, enabling the implementation of mobile learning in pedagogical activities. However, accessibility issues in mobile applications pose challenges, particularly for individuals with disabilities, contradicting the goals of Sustainable Development and the Convention on the Rights of Persons with Disabilities. This paper aims to investigate the extent to which the industry considers accessibility in designing mobile learning applications for this specific user group. We evaluate the acces

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Стефаненко, П. В. "Features of using information technology in interactive learning students." Bulletin of Pedagogical Sciences, no. 3 (April 7, 2024): 131–36. http://dx.doi.org/10.62257/2687-1661-2024-3-131-136.

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в статье рассматриваются преимущества и недостатки использования информационных технологий в рамках интерактивного обучения современных студентов. В ходе работы выявлен один из ключевых методов, что повышает функциональность применения инновационных технологий. Метод проектов доказывает свою функциональность в очном образовании и дистанционном, что расширяет его использовании среди студентов. Изучение отечественных трудов предоставило возможность выявить методы интерактивного обучения (деловые игры, дискуссии, эвристические беседы, проектный метод и другие) и проанализировать разнообразность и

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Wei, Dunwen, Feiran Wang, and Hongjiao Ma. "Autonomous Path Planning of AUV in Large-Scale Complex Marine Environment Based on Swarm Hyper-Heuristic Algorithm." Applied Sciences 9, no. 13 (2019): 2654. http://dx.doi.org/10.3390/app9132654.

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Autonomous underwater vehicles (AUVs) as an efficient underwater exploration means have been used to perform various marine missions. However, limited by the technologies of underwater acoustic communications and intelligent autonomy, the most current and advanced AUVs only perform a limited number of tasks in the small-scale area and the known underwater environment. Therefore, in this paper, a one path planning model was proposed combining the global path planning and the local path planning for the large-scale complex marine environment. More specifically, the B-spline curve was used to rep

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Oparin, Roman, Elena Arbuzova, and Sergey Nazarov. "Immersive and cultural transformation of the system of additional education as a tool for the development of environmental and social responsibility of the society." E3S Web of Conferences 311 (2021): 01001. http://dx.doi.org/10.1051/e3sconf/202131101001.

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The article scientifically substantiates the cultural and creative concept of additional environmental education, as a methodological basis for the formation and development of environmental and social responsibility, which involves the development of four levels of value orientations of students: reproductive, heuristic, creative. The concept is aimed at the formation of the individual activity of students in solving environmental problems on the basis of social, scientific and aesthetic axiological systems that determine the content of ecological-biotechnical, ecological-research, ecological

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Aberšek, Boris, and Metka Kordigel Aberšek. "DOES INTELIGENT E-LEARNING TOOLS NEED MORE PEDAGOGICAL METHODOLOGY OR ICT." Problems of Education in the 21st Century 37, no. 1 (2011): 9–17. http://dx.doi.org/10.33225/pec/11.37.09.

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Evolution in computer and other information communication technologies have made also possibilities to develop intelligente computer-aided learning tools for enhanced learning. Today, most researchers in the field of educational technology seem to be preoccupied with either heuristic, the development of Artificial Intelligence application, or the epistemology, philosophy concerned with the nature and scope (limitations) of knowledge and representation or varius learning theories such as constructivism and conectionism by computer program. The enthusiasm to develop technologicall advanced learn

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Cha, Hyunjin. "An exploratory study of learning design strategies on a Lifelong education learning tutor chatbot for elderly learners." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 14 (2022): 737–54. http://dx.doi.org/10.22251/jlcci.2022.22.14.737.

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Objectives The purpose of this study is to derive implications for for the applicability of chatbots and learning design from the point of view of lifelong learning to provide personalized educational services to the elderly by using chatbot, one of the core technologies that are receiving the most attention recently. Methods To achieve the objective, a prototype of a chatbot that serves as a learning tutor for elderly learners was developed and an empirical evaluation study was conducted by using it. First, based on the analysis of previous studies for the development of the prototype o

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ul Hassan, Ch Anwar, Muhammad Sufyan Khan, Rizwana Irfan, et al. "Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic Algorithmic Approach." Computational Intelligence and Neuroscience 2022 (October 4, 2022): 1–20. http://dx.doi.org/10.1155/2022/3145956.

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Effective software cost estimation significantly contributes to decision-making. The rising trend of using nature-inspired meta-heuristic algorithms has been seen in software cost estimation problems. The constructive cost model (COCOMO) method is a well-known regression-based algorithmic technique for estimating software costs. The limitation of the COCOMO models is that the values of these coefficients are constant for similar kinds of projects whereas, in reality, these parameters vary from one organization to another organization. Therefore, for accurate estimation, it is necessary to fine

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Eid, Marwa M., El-Sayed M. El-Kenawy, Nima Khodadadi, et al. "Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases." Mathematics 10, no. 20 (2022): 3845. http://dx.doi.org/10.3390/math10203845.

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Recent technologies such as artificial intelligence, machine learning, and big data are essential for supporting healthcare monitoring systems, particularly for monitoring Monkeypox confirmed cases. Infected and uninfected cases around the world have contributed to a growing dataset, which is publicly available and can be used by artificial intelligence and machine learning to predict the confirmed cases of Monkeypox at an early stage. Motivated by this, we propose in this paper a new approach for accurate prediction of the Monkeypox confirmed cases based on an optimized Long Short-Term Memory

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Kang, Edward B. "Ground truth tracings (GTT): On the epistemic limits of machine learning." Big Data & Society 10, no. 1 (2023): 205395172211461. http://dx.doi.org/10.1177/20539517221146122.

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There is a gap in existing critical scholarship that engages with the ways in which current “machine listening” or voice analytics/biometric systems intersect with the technical specificities of machine learning. This article examines the sociotechnical assemblage of machine learning techniques, practices, and cultures that underlie these technologies. After engaging with various practitioners working in companies that develop machine listening systems, ranging from CEOs, machine learning engineers, data scientists, and business analysts, among others, I bring attention to the centrality of “l

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Yoon, Gyugeun, and Joseph Y. J. Chow. "Contextual Bandit-Based Sequential Transit Route Design under Demand Uncertainty." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 5 (2020): 613–25. http://dx.doi.org/10.1177/0361198120917388.

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While public transit network design has a wide literature, the study of line planning and route generation under uncertainty is not so well covered. Such uncertainty is present in planning for emerging transit technologies or operating models in which demand data is largely unavailable to make predictions on. In such circumstances, this paper proposes a sequential route generation process in which an operator periodically expands the route set and receives ridership feedback. Using this sensor loop, a reinforcement learning-based route generation methodology is proposed to support line plannin

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González, Raúl César Romero, and Marcela Georgina Gómez Zermeño. "Technological preferences for teaching-learning a second language in Huichol communities and private high-schools in Mexico." Journal of Language and Cultural Education 5, no. 2 (2017): 70–79. http://dx.doi.org/10.1515/jolace-2017-0019.

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Abstract This research enquires about the Information and Communication Technologies preferences of students, teachers, and school principals in the teaching-learning process of a second language in 9th grade in two settings: Spanish for the Huichol people in a remote rural area and English for a private school in the city. The first case is situated in a rural Huichol community in the high mountain area of Jalisco, Mexico. The second one is located in a wealthy neighborhood in the Western Metropolitan area of Mexico City. A qualitative methodology with a heuristic and ethnographic design to i

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Liu, Xiaoxuan, Guozheng Yang, Yi Xie, and Xuehu Yan. "Research on IP Node Port Openness Prediction Method Based on PSO-CatBoost." Electronics 13, no. 20 (2024): 4036. http://dx.doi.org/10.3390/electronics13204036.

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The development of network measurement technologies has greatly increased the speed of network scans, but it also poses risks for the stability of the scanned networks. How to reduce probing traffic and enhance the effectiveness of probing has become a new research issue. In this paper, we utilize network measurement and machine learning techniques, leveraging public interfaces from network mapping platforms to construct a dataset with 44 feature dimensions. By combining the categorical boosting (CatBoost) model with the particle swarm optimization (PSO) algorithm for heuristic optimization, w

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Aleksandrovich, Kim Valeriy. "METHODS OF EFFECTIVE TRAINING OF TRAINEE PILOTS FOR CO-PILOT WORK." American Journal of Engineering and Technology 6, no. 8 (2024): 48–54. http://dx.doi.org/10.37547/tajet/volume06issue08-06.

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The paper considers methods of effective training of trainee pilots to work as co-pilots, with an emphasis on improving flight safety. Special attention is paid to theoretical training, which provides fundamental knowledge, and practical training on simulators, which helps to consolidate skills. Various approaches are considered, including problem-based and heuristic learning, as well as game methods that develop cognitive abilities and stress tolerance of pilots. An important aspect is distance learning, which includes online schools, webinars and individual coaching. Special attention is pai

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Berkeshchuk, Inna S., Iryna V. Shcherbak, Nataliia M. Shkvorchenko, Tetiana E. Masytsk, and Igor V. Chornyi. "Modern Technologies and Applications of ICT in the Training Process of Teachers-Philologists." International Journal of Higher Education 9, no. 7 (2020): 84. http://dx.doi.org/10.5430/ijhe.v9n7p84.

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The use of online technology of an experimental, gaming, competitive nature helps unite the virtual context and the acquisition of analytical skills in an environment, where personal communication is impossible, and the learning process requires high-quality preparation and understanding of the level of acquisition of speech skills. Studies show that within the conditions of distance learning of language and literature teachers (philologists), special difficulties are caused by the study of new technologies related to speech practice, stylistics, text creation; the reason for this is the insuf

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TSIUPRYK, Andrii. "Interactive learning in the context of students independent activities at higher educational institutions." Scientific Bulletin of Flight Academy. Section: Pedagogical Sciences 10 (2021): 70–76. http://dx.doi.org/10.33251/2522-1477-2021-10-70-76.

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The article presents such aspects of the organization of interactive learning as technologies combination and creative approach while useing them in the process of students self-education. The possibilities of informatization are analyzed and the main directions of its use in the educational sphere are determined new opportunities for the development of students ' thinking; the selection of individual methods of obtaining knowledge through independent work with the help of information and computer technologies as a factor of convergence of educational institutions. Interactive studying made it

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Baltag, Dumitru. "Some Reflections on the Environment of Reality and Modern Technologies Evolving in the Study of Law." Studii Juridice Universitare, no. 1 (April 2024): 55–73. http://dx.doi.org/10.54481/sju.2023.1.04.

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An advanced university methodology is a response to modern general and particular didactic challenges that is conditioned by an effective and indisputable exploitation of modern methodological resources. Incorporating recent data from socio-psycho-pedagogical research, the current university methodology, in addition to classic, traditional strategies and methods, includes modern strategies and methods of teaching-learning-evaluation, but especially new ways of exploring the best-known traditional methods: the debate , heuristic conversation, problematization, case study, etc. and other methods

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Sokolov, I. A. "Theory and practice in artificial intelligence." Вестник Российской академии наук 89, no. 4 (2019): 365–70. http://dx.doi.org/10.31857/s0869-5873894365-370.

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Artificial Intelligence is an interdisciplinary field, and formed about 60 years ago as an interaction between mathematical methods, computer science, psychology, and linguistics. Artificial Intelligence is an experimental science and today features a number of internally designed theoretical methods: knowledge representation, modeling of reasoning and behavior, textual analysis, and data mining. Within the framework of Artificial Intelligence, novel scientific domains have arisen: non-monotonic logic, description logic, heuristic programming, expert systems, and knowledge-based software engin

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Jiang, Lingzhi, Qiwu Wu, Weicong Tan, Tao Tong, and Weiyi Zhang. "Research on Unmanned Aerial Vehicle Path Planning." Frontiers in Computing and Intelligent Systems 8, no. 3 (2024): 22–24. http://dx.doi.org/10.54097/mnyqs087.

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This paper reviews and analyses the research progress in the field of UAV path planning. Firstly, the importance of UAV path planning and the current research work related to UAV path planning are introduced. Then how UAV path planning is modelled is analysed and key issues to be considered are given. Finally, classical search algorithms, evolutionary algorithms, heuristic search-based algorithms and deep learning methods are analysed in UAV path planning. For each method, its principle, characteristics, advantages and disadvantages, and applicable scenarios are analysed. The aim of this paper

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Szuster, Marcin, and Zenon Hendzel. "Discrete Globalised Dual Heuristic Dynamic Programming in Control of the Two-Wheeled Mobile Robot." Mathematical Problems in Engineering 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/628798.

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Network-based control systems have been emerging technologies in the control of nonlinear systems over the past few years. This paper focuses on the implementation of the approximate dynamic programming algorithm in the network-based tracking control system of the two-wheeled mobile robot, Pioneer 2-DX. The proposed discrete tracking control system consists of the globalised dual heuristic dynamic programming algorithm, the PD controller, the supervisory term, and an additional control signal. The structure of the supervisory term derives from the stability analysis realised using the Lyapunov

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Jurewicz, Mateusz, Natacha Klein Kafer, and Esben Kran. "Artificial Intelligence and Privacy." Privacy Studies Journal 3 (May 20, 2024): 1–32. http://dx.doi.org/10.7146/psj.v3i.143099.

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Modern Artificial Intelligence (AI) technologies have a rapidly growing impact on a wide range of human activities. AI methods are being used in varied domains such as healthcare, material science, infrastructure engineering, social media, surveillance technologies, and even artistic expression. They have been used for the purposes of drug discovery via protein folding prediction, power usage optimization through reinforcement learning, and facial recognition by means of image segmentation. Their effectiveness and wide-scale, unregulated deployment within our societies pose significant risks t

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Sherif., Sherif. "A Review of Metaheuristic Optimization for Network Traffic Management in Telecommunications." Metaheuristic Optimization Review 3, no. 2 (2025): 01–10. https://doi.org/10.54216/mor.030201.

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This review aims to identify metaheuristic optimization and machine learning in the context of network management in the current era and some graphs of real network applications, such as traffic prediction, resource assignment, and network protection. Bio-inspired meta-functions, which model heuristic approaches to problem-solving in nature, have been shown to provide the best solutions to the OP problem and possess properties that make them ideal for optimizing dynamic networks. In the same vein, neural networks and reinforcement learning models have also performed significantly better in opt

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