Relevant bibliographies by topics / Self-efficiency training

Contents

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

Academic literature on the topic 'Self-efficiency training'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Self-efficiency training"

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Dmytryshchuk, Natalya, and Alla Linenko. "Communicative self-efficiency of future navigators." Scientific bulletin of South Ukrainian National Pedagogical University named after K. D. Ushynsky, no. 3 (128) (October 31, 2019): 65–70. http://dx.doi.org/10.24195/2617-6688-2019-3-9.

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The article deals with the problem of improving the quality of training future navigators according to the strategic goals of the modernization of the educational process in Ukraine’s marine higher educational institutions, based on the humanistic paradigm, which requires special attention to the formation of future navigators’ communicative self-efficiency. The study of this problem is of particular relevance, since it is one of the main professional characteristics for representatives of the senior command navigators that enables them to carry out professional activities productively, adequa
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Dr., Paras Jain, and Singh Parihar Khusboo. "STUDY OF EFFECT OF PRE TEACHING TRAINING EXPERIENCE ON STUDENT TEACHERS." International Journal of Research - Granthaalayah 5, no. 10 (2017): 59–62. https://doi.org/10.5281/zenodo.1039595.

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Pre teaching practice prepares prospective teachers through teaching practice which has an important role to get prior experience of teaching. When the student teachers begin their career with a high self-efficency on the classroom instruction and using the teaching methods, teaching aids they are more concerned, ambitious for their task and work harder. The purpose of this study is to find impact of pre teaching on student teachers in terms of teaching qualities.
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Kim, Al-chan, Won-jeong Yun, and Jin-seop Song. "Analysis of Self-respect, Physical Self-Efficiency and Continuation of Exercise through Taekwondo Training." Korea Journal of Sport 19, no. 1 (2021): 207–20. http://dx.doi.org/10.46669/kss.2021.19.1.019.

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O'Brien, Karen M., Mary J. Heppner, Lisa Y. Flores, and Lynette Heim Bikos. "The Career Counseling Self-Efficiency Scale: Instrument development and training applications." Journal of Counseling Psychology 44, no. 1 (1997): 20–31. http://dx.doi.org/10.1037/0022-0167.44.1.20.

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Dong, Suqi, Genutė Gedvilienė, and Salomėja Karasevičiūtė. "Enhancing the Efficiency of Piano Learning Through Self-Regulated Learning Training." Pedagogika 155, no. 3 (2024): 88–103. http://dx.doi.org/10.15823/p.2024.155.5.

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Self-regulated learning (SRL) is a powerful method to enhance learning efficiency. This study explores its application in piano education, focusing on goal setting and strategy use. Involving 32 piano students from the Vytautas Magnus University (VMU), the research showed that participants practicing SRL significantly improved their technique, expression, and rhythm after 8 weeks. A counterbalancing method confirmed SRL's effectiveness over traditional learning, highlighting its practical value in piano pedagogy.
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Bouzid, Mohamed Sami, Maher Mrayeh, and Nizar Souissi. "Impact of Classroom Management Training on Physical Education Trainees’ Self-Efficiency Feeling." Creative Education 06, no. 12 (2015): 1256–65. http://dx.doi.org/10.4236/ce.2015.612124.

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Wahyuno, Endro, Asep Sunandar, Ediyanto Ediyanto, Risa Safira Ramadhani, and Bella Dina Fitrasari. "Management of Inclusive Education Services in School Through Self Awareness, Motivation, and Self Efficiency." Journal of Disruptive Learning Innovation (JODLI) 3, no. 1 (2021): 55. http://dx.doi.org/10.17977/um072v3i12021p55-64.

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This study aims to analyze the management of inclusive education services in schools through self-awareness, motivation, and self-efficacy. This study uses a qualitative research method with a case study approach through interviews with principals and teachers at inclusive schools in Malang. Based on the study results, it is known that when school members have self-awareness and have high motivation to teach children with special needs, self-efficacy grows in teachers to provide inclusive education services that are according to crew needs. Management strengthening in schools that implement in
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Wahyuno, Endro, Asep Sunandar, Ediyanto Ediyanto, Risa Safira Ramadhani, and Bella Dina Fitrasari. "Management of Inclusive Education Services in School Through Self Awareness, Motivation, and Self Efficiency." Journal of Disruptive Learning Innovation (JODLI) 3, no. 1 (2021): 55. http://dx.doi.org/10.17977/um072v3i12021p55-64.

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This study aims to analyze the management of inclusive education services in schools through self-awareness, motivation, and self-efficacy. This study uses a qualitative research method with a case study approach through interviews with principals and teachers at inclusive schools in Malang. Based on the study results, it is known that when school members have self-awareness and have high motivation to teach children with special needs, self-efficacy grows in teachers to provide inclusive education services that are according to crew needs. Management strengthening in schools that implement in
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Leila, ALOUI. "Cost-Effectiveness Evaluation of SIVP Training Program." Journal of Economic Growth and Entrepreneurship JEGE 3, no. 1 (2019): 18–25. https://doi.org/10.5281/zenodo.4476493.

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<em>The objective of this paper is to evaluate the effectiveness of the matching process and the performance of the large expenditures devoted to the SIVP program on the efficiency of the process between unemployment and vacancies of young university graduates in Tunisia. We exploited the stochastic frontier approach to estimate the effectiveness of the labor market matching function on data of the unemployed university graduates registered in the national agency for employment and self-employment in Tunisia. The results show the existence of heterogeneity in terms of efficiency between the Tu
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Cheng, Chao, and Dhakir Ali. "The Effect of Regulatory Adaptation and Cultural Training on Project Success: Mediating Role of Communication Efficiency in Yunnan Construction and Investment Holding Group." International Journal on Recent Trends in Business and Tourism 09, no. 02 (2025): 01–10. https://doi.org/10.31674/ijrtbt.2025.v09i02.001.

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Introduction: This study explores the impact of transformational leadership on employee deviant innovation behaviour, focussing on the mediating roles of work missions and innovative self-efficacy while also examining the influence of regulatory adaptation, cultural training, and communication efficiency on project success. Objective: Leadership style is an important factor that influences employee behaviour. Based on trait elicitation theory, self-efficacy theory, and social information processing theory, this article selects transformational leadership and employee deviant innovation behavio
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Dissertations / Theses on the topic "Self-efficiency training"

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Soong, Grace Pik-Yin. "The effect of orientation and mobility training on vision and mobility performance in visually impaired adults." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36754/1/36754_Digitised%20Thesis.pdf.

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A number of studies have investigated various visual functions of visually impaired subjects and how their visual functions relate to the subjects' ability to travel in their environment. Most studies have shown that visual field and contrast sensitivity are the most important visual factors in determining how well visually impaired subjects travel in their environment. From the outcome of the studies, some aspects of vision are known to play important roles in mobility performance of visually impaired subjects. However, in all these studies, researchers have used visually impaired subjects wi
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Коваленко, Ігор Васильович. "Методика навчання деревообробки майбутніх учителів технологій засобами інформаційно-комунікаційних технологій". Thesis, НПУ імені М.П. Драгоманова, 2017. http://enpuir.npu.edu.ua/handle/123456789/17826.

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1. Коваленко І. В. Дидактичні засади вивчення фізичних основ різання деревини / І. В. Коваленко // Науковий часопис Національного педагогічного університету імені М. П. Драгоманова. Серія № 5. Педагогічні науки: реалії та перспективи. – Випуск 30: збірник наукових праць / за ред. проф. М. С. Корця. – К.: Вид-во НПУ імені М. П. Драгоманова, 2011. – С. 97–102. 2. Коваленко І. В. Програмно-педагогічні засоби реалізації методики навчання обробки деревини майбутніх бакалаврів технологічної освіти / І. В. Коваленко // Науковий часопис Національного педагогічного університету імені М. П. Драгоманов
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HUEI-CIH, LUO, and 羅惠慈. "The Study on the Influence of Home Service Supervision Training Towards Self-efficiency and Supervision Function." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/83776363374235490278.

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碩士<br>實踐大學<br>社會工作學系碩士班<br>102<br>Taiwan's population has become an aging society. In order to the purpose of aging in place, the government pushed the plan of ten years long-term care program in 2007, by the ways of holistic care, aging in place, and diverse continuous service, to help elderly people who would like to stay in own homes. Home-service accounts a large proportion of long-term care. A priori, therefore, the supervisor plays a role of management, so the quality of supervisory function is more important. This paper asks how well home care supervisor training in terms of affecting a
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LEE, YUNG-TZU, and 李勇賜. "Exploring competency oriented the learning efficiency of vocational training by learning motivation and self-regulated learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/4m4k5d.

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碩士<br>佛光大學<br>管理學系<br>107<br>As high education gradually becomes the basic threshold for seeking work, professional and technical personnel are increasingly valued by the industry. Under the dual pressure of business needs and job competition, the search for training courses that meet their own interests, improve their knowledge and skills, and obtain professional licenses has gradually become the best choice for the public. This study is aimed at the four categories of courses handled by the government in the Yilan area. In the same year, we received pre-employment training from the same inst
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黃素貞. "A Study of the Relationship among Accounting Official’s Characteristics，Self-Efficiency,and Educational Training-A Study of Kaohsiung City." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/03546770859775344814.

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碩士<br>國立高雄師範大學<br>成人教育研究所<br>96<br>A Study of the Relationship among Accounting Official’s Characteristics，Self-Efficiency,and Educational Training-A Study of Kaohsiung City Abstract This research is to understand the status quo of “the accounting official’s characteristics, self-efficiency and educational training” as well as analyze the relationship among those three elements with the hope that those results would be based upon to bring out conclusions and recommendations for accounting officials as references to exert characteristics, self-efficiency, and then promote accounting official’
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Books on the topic "Self-efficiency training"

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Hughes, Kit. Television at Work. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190855789.001.0001.

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This book explores how work, television, and waged labor come to have meaning in our everyday lives. However, it is not an analysis of workplace sitcoms or quality dramas. Instead, it explores the forgotten history of how American private sector workplaces used television in the twentieth century. It traces how, at the hands of employers, television physically and psychically managed workers and attempted to make work meaningful under the sign of capitalism. It also shows how the so-called domestic medium helped businesses shape labor relations and information architectures foundational to the
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Book chapters on the topic "Self-efficiency training"

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Ravka, Nelson. "Informatics and Health Services." In Healthcare Ethics and Training. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2237-9.ch024.

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Personal electronic health records are seen as a key component to improved health care for patients, empowering motivated patients by giving them access to their own records resulting in increased self-care, shared decision making, and better clinical outcomes. Benefits through electronic record keeping would also accrue to health care providers through the availability and retrievability of data, reduced duplication of medical tests, more effective physician diagnosis and treatment, reduced incidence of prescription errors, and flagging inappropriate drug combinations. Utilizing information t
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"Evaluating the Impact of ACTA." In Qualitative Insights Through Applied Cognitive Task Analysis. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7733-8.ch016.

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This chapter examines methods for evaluating the effectiveness of Applied Cognitive Task Analysis (ACTA)-based interventions, focusing on both short-term and long-term impacts. Key assessment strategies include pre- and post-intervention evaluations, longitudinal studies, behavioral observations, self-reported measures, and performance metrics. These methods provide comprehensive insights into how ACTA improves decision-making, training efficiency, adaptability, and organizational learning. By assessing cognitive processes and task performance over time, the chapter highlights the value of ACT
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Leroy, Carol. "The Importance of Personal Effectiveness Training in University Master Courses." In Handbook of Research on Operational Quality Assurance in Higher Education for Life-Long Learning. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1238-8.ch006.

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For the team manager function, building the required posture of assertiveness and self-construction requires identity conversions that cannot be achieved without reflexivity, nor philosophical spirituality. Self-reflection allows the construction of one's own trajectory, and the possibility of a positive encounter between one's own dynamics and that of others. This new professional posture questions the role of initial training through all the aspects that must guarantee the success of student socio-professional integration and give the opportunity of implementing the expected skills on a job
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He, Jisheng, Manyi Chen, and Jiaming Zhong. "Investigation and Analysis for Self-Directed Learning of Backbone Teachers in Primary and Middle Schools." In Modern Management based on Big Data III. IOS Press, 2022. http://dx.doi.org/10.3233/faia220096.

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Purpose: to discuss about the self-directed learning readiness of backbone teachers in primary and middle schools, and its relationship with their learning effectiveness. Methods: “scales for teachers’ self-directed learning readiness” and “questionnaires about teachers’ in-service training effects” were conducted on 592 primary and middle school backbone teachers who were receiving National Teacher Training Program. Results: The self-directed learning readiness of primary and middle school backbone teachers is commonly high; the readiness differs in different genders, teaching ages, and betwe
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Lignos, Ioannis, and Maria Pavlis Korres. "Virtual Reality Applications as an Innovative Educational Practice in Adult Education." In Handbook of Research on Challenges and Opportunities in Launching a Technology-Driven International University. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6255-9.ch012.

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Virtual reality educational applications are supporting educational systems to provide better and more realistic training. Military training systems have incorporated such applications in their training programs having positive results in terms of training outcomes, safety, and cost efficiency. The aim of the chapter is to present the benefits of using virtual reality applications in connection to the modern learning theories. More specifically, the chapter summarizes the concepts of experiential, active and constructive learning theories conjoining them with the results of a research conducte
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Lignos, Ioannis, and Maria Pavlis Korres. "Virtual Reality Applications as an Innovative Educational Practice in Adult Education." In Research Anthology on Adult Education and the Development of Lifelong Learners. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8598-6.ch019.

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Virtual reality educational applications are supporting educational systems to provide better and more realistic training. Military training systems have incorporated such applications in their training programs having positive results in terms of training outcomes, safety, and cost efficiency. The aim of the chapter is to present the benefits of using virtual reality applications in connection to the modern learning theories. More specifically, the chapter summarizes the concepts of experiential, active and constructive learning theories conjoining them with the results of a research conducte
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Schmiedek, Florian, Martin Lövdén, and Ulman Lindenberger. "Training Working Memory for 100 Days." In Cognitive and Working Memory Training. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199974467.003.0003.

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This chapter is based on a theoretical framework for the study of adult cognitive plasticity and on empirical findings from the COGITO Study. The design and analyses of the study include key features for producing and detecting transfer effects at the level of cognitive abilities. Among the features are: (a) an intensity and dosage of training that is likely to induce an enduring mismatch between functional supply and demand, which is conducive to plastic changes in cognitive abilities, and (b) a multivariate and heterogeneous battery of transfer tasks and sufficiently large samples to allow f
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Yi, Mun Y., and Kun S. Im. "The Role of Personal Goal and Self-Efficiency in Predicting Computer Task Performance." In Advances in End User Computing. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-474-3.ch004.

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Computer task performance is an essential driver of end user productivity. Recent research indicates that computer self-efficacy (CSE) is an important determinant of computer task performance. Contrary to the significant interest in understanding the role of CSE in predicting computer task performance, little attention has been given to understanding the role of personal goal (PG), which can be as powerful as or more powerful than CSE in predicting and determining computer task performance. Employing CSE and PG, the present research develops and validates a theoretical model that predicts indi
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Reza-Morales, Diana Elisabeth. "Intervención Organizacional desde el Punto de Vista del Psicólogo: Una aproximación basada en evidencias." In Aplicaciones de la Psicología al Campo Organizacional. libro completo, 2025. https://doi.org/10.22402/ed.leed.978.607.26779.13c05.

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This paper describes a case of individual training for an executive, in which an evidence-based behavioral training program was implemented to optimize the job performance of a security supervisor in their work environment. The aim of the chapter is to present the effectiveness of evidence-based training methods for reducing negative indicators in time management that can impair work efficiency. An intervention design was carried out in three phases: baseline, intervention, and follow-up, carefully documenting the progress and results at each stage. Additionally, the tools and techniques used
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Gorbachev, Sergey Viktorovich, and Tatyana Viktorovna Abramova. "Improving the Classification Accuracy of Multidimensional Overlapping Objects Based on Neuro-Fuzzy Analysis of Generalized Patterns." In Advances in Multimedia and Interactive Technologies. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5246-8.ch013.

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To improve the classification accuracy of multidimensional overlapping objects, a new hybrid neuro-fuzzy FCNN-SOM-FMLP network, combining the fuzzy cell neural network of Kohonen (FCNN-SOM) and the fuzzy multilayer perceptron (FMLP), and the algorithms for its training are proposed. This combination allows for clustering of generalized intersecting patterns (the extensional approach) and training the classification network basing on the identification of integrated pattern characteristics in the isolated clusters (intentional approach). The new FCNN-SOM-FMLP architecture features a high degree
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Conference papers on the topic "Self-efficiency training"

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Territo, Kyle, Peter Vallet, and Jose Romagnoli. "Towards Self-Tuning PID Controllers: A Data-Driven, Reinforcement Learning Approach for Industrial Automation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132857.

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As industries embrace the digitalization of Industry 4.0, the abundance of process data creates new opportunities to optimize industrial control systems. Traditional Proportional-Integral-Derivative (PID) controllers often require manual tuning to address changing conditions. This paper introduces an automated, adaptive PID tuning method using historical data and machine learning for a continuously evolving, data-driven approach. The method centers on training a surrogate model using historical process data to replicate real system behavior under various conditions. This enables safe explorati
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Hainagiu, Simona magdalena. "IMPROVING SELF-EFFICIENCY AND TREATMENT COMPLIANCE OF DIALYZED PATIENTS - AN INTERVENTION TRAINING PROGRAME PROPOSAL." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-176.

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"Improving self - efficiency and treatment compliance of dialyzed patients - an intervention training programe proposal" Abstract Chronic renal disease is one o the most invalidating disease producing major changes in patients life. Furthermore, it challenges the pa?ient to adapt to a new and fully restrictive regim marked by significant loss in the usual diet, drinking habits, social, sexual and professional behaviours. The treatment by itself forces the patient to cope with a new daily programe and medicine intake. Considering all these major and sudden changes, the patient compliance is one
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Chen, Wenxi, Yuzhe Liang, Ziyang Ma, Zhisheng Zheng, and Xie Chen. "EAT: Self-Supervised Pre-Training with Efficient Audio Transformer." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/421.

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Audio self-supervised learning (SSL) pre-training, which aims to learn good representations from unlabeled audio, has made remarkable progress. However, the extensive computational demands during pre-training pose a significant barrier to the potential application and optimization of audio SSL models. In this paper, inspired by the success of data2vec 2.0 in image modality and Audio-MAE in audio modality, we introduce Efficient Audio Transformer (EAT) to further improve the effectiveness and efficiency in audio SSL. The proposed EAT adopts the bootstrap self-supervised training paradigm to the
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Huang, Bingling, Hao Ji, and Yan Jin. "Impact of Social Learning on Teamwork Efficiency in Learning-Based Self-Organized Systems." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143326.

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Abstract Self-organized systems (SOSs) possess the great potential to adapt to dynamic environments, and thus, advance the level of autonomy in engineering systems. Learning-based approaches, particularly multiagent reinforcement learning (MARL), have empowered the design freedom of SOSs while enhancing the system to be more intelligent. This is primarily because MARL encourages agents to learn from past failures and data through training. However, the training process is conducted in a “black box”, whose embeddings are uninterpretable for humans yet. This poses significant challenges for syst
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Gorbacheva, M. M. "FACTORS CONTRIBUTING TO THE EFFICIENCY OF SELF-EDUCATIONAL ACTIVITIES OF UNIVERSITY STUDENTS." In THEORETICAL AND APPLIED ISSUES OF LINGUISTIC EDUCATION. KuzSTU, 2020. http://dx.doi.org/10.26730/lingvo.2020.8-19.

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The study of the principles and approaches to the organization of self-educational activities in a university, the determination of its place in the process of professional training is one of the relevant topics of psychological, pedagogical and methodological research in the modern Russian scientific field. At the same time, such an aspect of the problem being studied as the development and justification of a complex set of factors contributing to the efficient organization of the self-educational activities of university students in the face of changing requirements of state standards and th
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Zheng, Zhuobin, Chun Yuan, Zhihui Lin, Yangyang Cheng, and Hanghao Wu. "Self-Adaptive Double Bootstrapped DDPG." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/444.

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Deep Deterministic Policy Gradient (DDPG) algorithm has been successful for state-of-the-art performance in high-dimensional continuous control tasks. However, due to the complexity and randomness of the environment, DDPG tends to suffer from inefficient exploration and unstable training. In this work, we propose Self-Adaptive Double Bootstrapped DDPG (SOUP), an algorithm that extends DDPG to bootstrapped actor-critic architecture. SOUP improves the efficiency of exploration by multiple actor heads capturing more potential actions and multiple critic heads evaluating more reasonable Q-values c
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Hadjadj, Lies, Massih-Reza Amini, and Sana Louhichi. "Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/420.

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We investigate the generalization properties of a self-training algorithm with halfspaces. The approach learns a list of halfspaces iteratively from labeled and unlabeled training data, in which each iteration consists of two steps: exploration and pruning. In the exploration phase, the halfspace is found sequentially by maximizing the unsigned-margin among unlabeled examples and then assigning pseudo-labels to those that have a distance higher than the current threshold. These pseudo-labels are allegedly corrupted by noise. The training set is then augmented with noisy pseudo-labeled examples
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Aissaoui, Othman, Cyrielle Titaux, Victoire Delporte, Yohan Kerbage, Chrystele Rubod, and Delphine Hudry. "2022-RA-1604-ESGO Efficiency of simulation program for OB/GYN residents using self-training and supervised sessions: a quantitative study." In ESGO 2022 Congress. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/ijgc-2022-esgo.1003.

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Li, Fan, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, and Xuemin Lin. "Hypergraph Self-supervised Learning with Sampling-efficient Signals." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/486.

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Self-supervised learning (SSL) provides a promising alternative for representation learning on hypergraphs without costly labels. However, existing hypergraph SSL models are mostly based on contrastive methods with the instance-level discrimination strategy, suffering from two significant limitations: (1) They select negative samples arbitrarily, which is unreliable in deciding similar and dissimilar pairs, causing training bias. (2) They often require a large number of negative samples, resulting in expensive computational costs. To address the above issues, we propose SE-HSSL, a hypergraph S
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Li, Zhe, Shuo Chen, Jian Yang, and Lei Luo. "Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/499.

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The generalization of neural networks has been a major focus of research in deep learning. It is often interpreted as an implicit bias towards solutions with specific properties. Especially, in practical applications, it has been observed that linear neural networks (LNN) tend to favor low-rank solutions for matrix completion tasks. However, most existing methods rely on increasing the depth of the neural network to enhance the low rank of solutions, resulting in higher complexity. In this paper, we propose a new explicit regularization method that calibrates the implicit bias towards low-rank
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Reports on the topic "Self-efficiency training"

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Triakina, Olga O., Olena O. Pavlenko, Nataliia P. Volkova, and Darja Kassim. Usage of E-learning Tools in Self-education of Government Officers Involved in Global Trade Activities. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2670.

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The article concerns the issue of e-learning tools implementation, including the Customs Learning and Knowledge Community electronic platform designed by the World Customs Organization and the Trade Facilitation Implementation Guide case studies collected by the United Nations Economic Commission for Europe, into the self-education process of current government employees (within in-service training) and future public officers (within master’s programs) connected with international trade transactions. The authors give a description of the content and characteristical features of existing e-lear
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Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

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Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject
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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and m
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SECOND-ORDER ANALYSIS OF BEAM-COLUMNS BY MACHINE LEARNING-BASED STRUCTURAL ANALYSIS THROUGH PHYSICS-INFORMED NEURAL NETWORKS. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.4.10.

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The second-order analysis of slender steel members could be challenging, especially when large deflection is involved. This paper proposes a novel machine learning-based structural analysis (MLSA) method for second-order analysis of beam-columns, which could be a promising alternative to the prevailing solutions using over-simplified analytical equations or traditional finite-element-based methods. The effectiveness of the conventional machine learning method heavily depends on both the qualitative and the quantitative of the provided data. However, such data are typically scarce and expensive
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