Bibliografías temáticas / Progressive learning

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Literatura académica sobre el tema "Progressive learning"

Autor: Grafiati
Publicado: 4 de mayo de 2024
Última modificación: 26 de julio de 2025

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Artículos de revistas sobre el tema "Progressive learning"

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Acharya, Avidit, and Juan Ortner. "Progressive Learning." Econometrica 85, no. 6 (2017): 1965–90. http://dx.doi.org/10.3982/ecta14718.

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Yu, Zhengxu, Dong Shen, Zhongming Jin, Jianqiang Huang, Deng Cai, and Xian-Sheng Hua. "Progressive Transfer Learning." IEEE Transactions on Image Processing 31 (2022): 1340–48. http://dx.doi.org/10.1109/tip.2022.3141258.

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Daniels, Jonathan S., David Moreau, and Brooke N. Macnamara. "Learning and Transfer in Problem Solving Progressions." Journal of Intelligence 10, no. 4 (2022): 85. http://dx.doi.org/10.3390/jintelligence10040085.

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Do individuals learn more effectively when given progressive or variable problem-solving experience, relative to consistent problem-solving experience? We investigated this question using a Rubik’s Cube paradigm. Participants were randomly assigned to a progression-order condition, where they practiced solving three progressively more difficult Rubik’s Cubes (i.e., 2 × 2 × 2 to 3 × 3 × 3 to 4 × 4 × 4), a variable-order condition, where they practiced solving three Rubik’s Cubes of varying difficulty (e.g., 3 × 3 × 3 to 2 × 2 × 2 to 4 × 4 × 4), or a consistent-order condition, where they consis
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Yu, Zhiwen, Daxing Wang, Jane You, et al. "Progressive subspace ensemble learning." Pattern Recognition 60 (December 2016): 692–705. http://dx.doi.org/10.1016/j.patcog.2016.06.017.

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Sarutte, Atsawaraungsuk, Boonphairote Wasaya, Somsuk Kritsanapong, Suwannapong Chanwit, and Khummanee Suchart. "A progressive learning for structural tolerance online sequential extreme learning machine." TELKOMNIKA 21, no. 05 (2023): 1039–50. https://doi.org/10.12928/telkomnika.v21i5.24564.

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This article discusses the progressive learning for structural tolerance online sequential extreme learning machine (PSTOS-ELM). PSTOS-ELM can save robust accuracy while updating the new data and the new class data on the online training situation. The robustness accuracy arises from using the householder block exact QR decomposition recursive least squares (HBQRD-RLS) of the PSTOS-ELM. This method is suitable for applications that have data streaming and often have new class data. Our experiment compares the PSTOS-ELM accuracy and accuracy robustness while data is updating with the batch-extr
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Fayek, Haytham M., Lawrence Cavedon, and Hong Ren Wu. "Progressive learning: A deep learning framework for continual learning." Neural Networks 128 (August 2020): 345–57. http://dx.doi.org/10.1016/j.neunet.2020.05.011.

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Tribushinina, Elena, Angela Radić, and Gordana Hržica. "Bilingual effects in foreign language learning." Nota Bene 1, no. 2 (2024): 208–24. https://doi.org/10.1075/nb.00012.tri.

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Abstract This study tests the hypothesis that bilingualism is associated with advantages in learning foreign languages. We compare oral (narrative) English skills of 15 Dutch monolinguals (aged 10–12) and 15 age-matched bilinguals acquiring Dutch and Serbian/Croatian. We also test the hypothesis that bilinguals speaking an aspectual home language have an advantage over Dutch monolinguals in learning the English progressive aspect. Narratives produced by adult L1 English speakers were used to establish a baseline of aspectual choices. The results demonstrate that bilinguals outperformed monolin
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Ahmed, Naveed, JeeWoong Park, Cristian Arteaga, and Haroon Stephen. "Investigation of Progressive Learning within a Statics Course: An Analysis of Performance Retention, Critical Topics, and Active Participation." Education Sciences 13, no. 6 (2023): 576. http://dx.doi.org/10.3390/educsci13060576.

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Previous research has demonstrated a link between prior knowledge and student success in engineering courses. However, while course-to-course relations exist, researchers have paid insufficient attention to internal course performance development. This study aims to address this gap—designed to quantify and thus extract meaningful insights—by examining a fundamental engineering course, Statics, from three perspectives: (1) progressive learning reflected in performance retention throughout the course; (2) critical topics and their influence on students’ performance progression; and (3) student
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Boo-Ho Yang and H. Asada. "Progressive learning and its application to robot impedance learning." IEEE Transactions on Neural Networks 7, no. 4 (1996): 941–52. http://dx.doi.org/10.1109/72.508937.

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Gitlin, Andrew. "Global learning & progressive school change." Literacy Information and Computer Education Journal 6, no. 4 (2015): 2064–68. http://dx.doi.org/10.20533/licej.2040.2589.2015.0275.

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Tesis sobre el tema "Progressive learning"

1

Cox, Graham. "Communities of practice : learning in progressive ensembles." Thesis, University of Huddersfield, 2003. http://eprints.hud.ac.uk/id/eprint/4711/.

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This study examines the learning of ensemble skills by young musicians in progressive ensembles. Data collection took place in three music centres which form part of an LEA music service's ensemble provision. This study uniquely approaches ensembles as'socio-musical' phenomena. It finds description and explanation in the constantly changing and developing socio-musical interactions that form ensembles. Using an ethnographic approach it examines the practice of ensembles that are part of musical learning pyramids, through the eyes and actions of the ensemble members. There is an examination of
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Yang, Boo Ho. "Progressive learning and its application to robotic assembly." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35038.

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Yu, Jyu-fang. "Learning and teaching the English Progressive in Taiwan /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008480.

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Archibald, Douglas Bollon. "Global education, an alternative program of study for progressive learning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0013/MQ53397.pdf.

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Li, Shih-Hung. "Progressive learning of endpoint feedback systems with model uncertainty and sensor noise." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38158.

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Wan, Lisa Chi Yan. "Implementation of Professional Learning Communities at the Progressive Academy of Southeast Asia." Thesis, University of Southern California, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10749206.

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<p> There is a large body of research that suggests the concept of a professional learning community (PLC) can promote improved student learning by increasing collective teacher capacity to meet the diverse learning needs of students (Reeves, 2016; Battersby &amp; Verdi, 2013; Marzano &amp; DuFour, 2011; Fullan 2010, Senge, 2006; Morrissey, 2000; Hord, 1997). Many schools have implemented PLCs around the world. Despite the well-documented benefits of PLCs, there is inconsistency to the extent with which PLCs are implemented within schools and districts. The purpose of this study was to (a) und
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Sah, Shubham. "A Virtual Reality Based Progressive Learning Paradigm For Supply Chain Management Education." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282059998.

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Wu, Wenbo. "Object Recognition with Progressive Refinement for Collaborative Robots Task Allocation." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41581.

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With the rapid development of deep learning techniques, the application of Convolutional Neural Network (CNN) has benefited the task of target object recognition. Several state-of-the-art object detectors have achieved excellent performance on the precision for object recognition. When it comes to applying the detection results for the real world application of collaborative robots, the reliability and robustness of the target object detection stage is essential to support efficient task allocation. In this work, collaborative robots task allocation is based on the assumption that each individ
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Friedle, Robert E. "Assessment of learning potential using a modified version of the coloured progressive matrices." Virtual Press, 1986. http://liblink.bsu.edu/uhtbin/catkey/468076.

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An assessment procedure to measure the learning potential of mildly and moderately mentally handicapped adults was investigated in this study. The procedure was developed to overcome the limitations of previously established learning potential assessment procedures by meeting the specific orientation necessary when assessing the mentally handicapped, by avoiding practice and mechanical memory effects, and by requiring the subjects to show the ability to retain and apply new cognitive skills. Thirty institutionalized mentally handicapped adults were matched on IG and then randomly assigned to a
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Lai, Matteo. "Conditional MR image synthesis with Auxiliary Progressive Growing GANs." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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L'addestramento di algotritmi di deep learning (DL) richiede una grande quantità di dati, che però spesso non sono disponibili in ambito medico. In questa tesi viene proposto un modello per la generazione di dataset sintetici etichettati nell'ambito dell'imaging medico ad alta risoluzione. Dopo aver presentato vantaggi e limiti dell'uso delle tecniche di DL in radiologia, vengono proposte le Generative Adversarial Networks (GANs) come possibile soluzione per superare tali limiti. Illustrando lo stato dell'arte relativo alle GAN, viene focalizzata l'attenzione sulle Progressive Growing GAN, ca
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Libros sobre el tema "Progressive learning"

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Boehm, Ingrid. Productive learning: An educational opportunity for young people in Europe. Schrbri-Verlag, 1996.

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R, Payne Carla, ed. Information technology and constructivism in higher education: Progressive learning frameworks. Information Science Reference, 2009.

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1973-, Lytras Miltiadis D., and Sheth A. 1959-, eds. Progressive concepts for Semantic Web evolution: Applications and developments. Information Science Reference, 2010.

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Hughes, Martin, 1949 May 15-, ed. Progression in learning. Multilingual Matters, 1996.

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1948-, Evers Williamson M., ed. What's gone wrong in America's classrooms. Hoover Institution Press, Stanford University, 1998.

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Morrell, Judy. Progression from adult and community learning. Department for Education and Skills, 2004.

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Ron, Brown. Learning guide: The infinite geometric progression puzzles. Mountain Spring Woodworking, 1994.

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National Association for Educational Guidance for Adults., ed. Affording adult learning: Financial barriers to access and progression. 2nd ed. National Association for Educational Guidance for Adults, 1994.

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Forum for Access and Continuing Education, ed. Transformation, progression and hope: Whatever happened to lifelong learning? FACE, 2007.

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Great Britain. Further Education Unit., ed. VET and progression: For learners with disabilities and learning difficulties in FE colleges. FEU, 1993.

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Capítulos de libros sobre el tema "Progressive learning"

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Pyles, Loretta. "Learning from Social Movements." In Progressive Community Organizing. Routledge, 2020. http://dx.doi.org/10.4324/9780429294075-4.

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Huang, Xin, and Yuxin Peng. "Progressive Cross-Media Correlation Learning." In Image and Graphics Technologies and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1702-6_20.

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Angle, Stephen C. "Epilogue II Learning From One Another." In Progressive Confucianism and its Critics. Routledge, 2024. http://dx.doi.org/10.4324/9781003533924-11.

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Wang, Yiwei, Wei Wang, Yuxuan Liang, Yujun Cai, and Bryan Hooi. "Progressive Supervision for Node Classification." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67658-2_16.

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Poonam Chaudhari and Himanshu Agarwal. "Progressive Review Towards Deep Learning Techniques." In Proceedings of the International Conference on Data Engineering and Communication Technology. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1675-2_17.

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Sadid, Md Waselul Haque, Md Nazrul Islam Mondal, Md Shamsul Alam, Abu Sayeed Md Sohail, and Boshir Ahmed. "Progressive Boosting for Classifier Committee Learning." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30176-9_7.

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Leite, Rui, and Pavel Brazdil. "Improving Progressive Sampling via Meta-learning." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24580-3_37.

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Hu, Jiagao, Zhengxing Sun, Kewei Yang, and Yiwen Chen. "Progressive Image Segmentation Using Online Learning." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24075-6_18.

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Liu, Chen, Wei Zhang, Feng Qiu, Lincheng Li, Dadong Wang, and Xin Yu. "Affective Behaviour Analysis via Progressive Learning." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91581-9_26.

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B�ntig, W. E. "Learning from Cancer Patients." In Body Psychotherapy in Progressive and Chronic Disorders. KARGER, 2002. http://dx.doi.org/10.1159/000065902.

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Actas de conferencias sobre el tema "Progressive learning"

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Karn, Rupesh Raj, Johann Knechtel, and Ozgur Sinanoglu. "Selective Forgetting in Task-Progressive Learning Through Machine Unlearning." In 2024 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2024. https://doi.org/10.1109/icmlc63072.2024.10935063.

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Zheng, Jiangbin, and Stan Z. Li. "Progressive Multi-Modality Learning for Inverse Protein Folding." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687400.

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Fu, Changhong, Xiang Lei, Haobo Zuo, Liangliang Yao, Guangze Zheng, and Jia Pan. "Progressive Representation Learning for Real-Time UAV Tracking." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10803050.

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Yue, Han, Yu-Xuan Ren, and Steve Feng Shu. "A progressive deep learning network for ptychographic imaging." In Fourth International Conference on Computational Imaging (CITA 2024), edited by Xiaopeng Shao. SPIE, 2025. https://doi.org/10.1117/12.3055867.

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Zeng, Donghuo, and Kazushi Ikeda. "Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888698.

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Ningsih, Sulia, and Anita Adesti. "Android-Based Mobile Learning: Its Effect on Students’ Learning Achievement." In International Conference on Progressive Education (ICOPE 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200323.099.

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Kadeethum, Teeratorn, and Hongkyu Yoon. "Progressive physics learning from data." In AAAI Spring Symposium on Computational Approaches to Scientific Discovery - San Francisco, California, United States of America - March - 2023. US DOE, 2023. http://dx.doi.org/10.2172/2431637.

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Triastuti, Rini, Winarno, and Wijayanti. "The Strategy of Improving Student Learning Interest Through the Use of Video as Learning Media in Civic Education Learning." In International Conference on Progressive Education (ICOPE 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200323.124.

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Ndiung, S. "The Treffinger Learning Model with RME Principles on Mathematics Learning Outcome by Considering Numerical Ability." In International Conference on Progressive Education (ICOPE 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200323.080.

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Church, Joshua, and Amihai Motro. "Learning service behavior with progressive testing." In 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA). IEEE, 2011. http://dx.doi.org/10.1109/soca.2011.6166199.

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Informes sobre el tema "Progressive learning"

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Pearce, Andrea, Richard Byrne, David Grover, Benjamin Leavitt, and Kevin Powell. Progressive Automation of Minirhizotron Image Processing Through Advanced Contextualization and Machine Learning (Final Report). Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1767440.

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Rosser, Andrew, Phil King, and Danang Widoyoko. The Political Economy of the Learning Crisis in Indonesia. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-2022/pe01.

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Indonesia has done much to improve access to education in recent decades but it has had little success in improving learning outcomes. This paper examines the political origins of this problem. It argues that Indonesia’s learning crisis has reflected the political dominance during the New Order and post-New Order periods of predatory political, bureaucratic and corporate elites who have sought to use the country’s education system to accumulate resources, distribute patronage, mobilize political support, and exercise political control rather than produce skilled workers and critical and inquir
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Steil, Benn. Regional Financial Market Integration: Learning from the European Experience. Inter-American Development Bank, 1997. http://dx.doi.org/10.18235/0011547.

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The so-called "European model" of market integration has evolved over many decades. In particular, the original plan to integrate Europe economically via a progressive program of harmonizing national legislation has, particularly in the area of financial markets, given way to a radical alternative based upon Member State "mutual recognition" of existing national legislation and regulation. Whereas this shift had been initiated largely on pragmatic grounds, the mutual recognition approach has since taken on an ideological and strategic dimension in political negotiations which makes the study o
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Ariza H., Angela Andrea. Integrating Student Teachers’ Learning through an E-portfolio. Institución Universitaria Colombo Americana, 2025. https://doi.org/10.26817/paper.30.

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This working paper reports on an action research study aimed to explore and analyze the process of creating and using an E-portfolio of evidence to promote integrative learning of Student Teachers (STs) to further their self-discovery as EFL Teachers. The Process of creating the portfolio was framed within one Practicum semester and viewed as a capstone experience addressed from the perspective of an integrative learning approach. The construction of portfolios was carried out in three phases that had a progressive and transformative intention. The analysis and the interpretation of the data r
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Singh, Abhijeet, Mauricio Romero, and Karthik Muralidharan. COVID-19 Learning Loss and Recovery: Panel Data Evidence from India. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/112.

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We use a near-representative household panel survey of ∼19,000 primary-school-aged children in rural Tamil Nadu to study the extent of ‘learning loss’ after COVID-19 school closures, the pace of recovery in the months after schools reopened, and the role of a flagship compensatory intervention introduced by the state government. Students tested in December 2021, after 18 months of school closures, displayed severe deficits in learning of about 0.7 standard deviations (σ) in math and 0.34σ in language compared to identically-aged students in the same villages in 2019. Using multiple rounds of i
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Rosser, Andrew. Welfare Regimes and the Political Economy of Learning in Developing Countries. Research on Improving Systems of Education (RISE), 2023. http://dx.doi.org/10.35489/bsg-rise-2023/pe11.

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This paper synthesises the findings of the RISE Political Economy of Adoption (PET-A) country studies by interpreting their findings in light of the findings of comparative research on the evolution of ‘welfare regimes’. This paper suggests that PET-A countries have not, for the most part, developed the sorts of political settlements identified as conducive to change in the welfare regimes literature or indeed others that might be expected to produce similar gains. They are instead dominated by predatory coalitions which seek to use education systems for rent-seeking, ideological, or other non
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Bergeron, Augustin, Arnaud Fournier, John Kabeya Kabeya, Gabriel Tourek, and Jonathan L. Weigel. Using Machine Learning to Create a Property Tax Roll: Evidence from the City of Kananga, DR Congo'. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ictd.2023.053.

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Developing countries often lack the financial resources to provide public goods. Property taxation has been identified as a promising source of local revenue, because it is relatively efficient, captures growth in real estate value, and can be progressive. However, many low income countries do not collect property taxes effectively due to missing or incomplete property tax rolls. We use machine learning and computer vision models to construct a property tax roll in a large Congolese city. To train the algorithm and predict the value of all properties in the city, we rely on the value of 1,654
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Duong, Bich-Hang, and Joan DeJaeghere. From Student-Centered to Competency-Based Reform: Exploring Teachers’ Perspective of Meaningful Participation. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/089.

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Student-centered pedagogy has been widely advocated in many contexts with student active participation in learning being a central element. Vietnam has adopted innovative pedagogies including child-centered and competency-based teaching to further active learning and develop students’ full potential. This study explores Vietnamese teachers’ views about student participation and teaching roles as they implement these progressive reforms. It also examines pedagogical practices that teachers planned to use and actually employed to support student learning through meaningful participation. Drawing
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Savedoff, William D. Is Anybody Listening?: Ignoring Evidence in the Latin American Health Reform Debates. Inter-American Development Bank, 2000. http://dx.doi.org/10.18235/0008923.

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Throughout Latin America and the Caribbean, countries are in the midst of debates about their health systems. Frequently, the characteristics of reforms in one country are used to promote or criticize particular proposals in another. Despite the great importance and potential from learning from external models, evidence frequently makes very little difference to the way models are perceived and described in the political and social arena. To illustrate this point, the author takes Chile as an example, a country whose health reform has been widely decried as the most horrible of neo-liberal hea
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Wandeler, Christian, and Felipe Mercado. Fresno County Afterschool Transportation Education. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2355.

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Transportation is a critical infrastructure, and K–12 students benefit from understanding the industry and how it impacts their lives. This comprehensive report investigates the landscape of transportation education via the lens of the Madera Unified School District's afterschool programs, thus highlighting its crucial role in shaping the futures of students and, consequently, society. It further explores the substantial enhancements in learning, career readiness, and societal awareness that can be achieved through the strategic incorporation of transportation concepts into K–12 education, aug
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