Literatura académica sobre el tema "Collective learning"
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Artículos de revistas sobre el tema "Collective learning"
Backström, Tomas. "Collective learning". Learning Organization 11, n.º 6 (diciembre de 2004): 466–77. http://dx.doi.org/10.1108/09696470410548827.
Texto completoFu, Wai‐Ki, Hing‐Po Lo y Derek S. Drew. "Collective learning, collective knowledge and learning networks in construction". Construction Management and Economics 24, n.º 10 (octubre de 2006): 1019–28. http://dx.doi.org/10.1080/01446190500228258.
Texto completoVengerov, Alexander. "Collective Learning and Collective Intelligence Working Together". International Journal of Learning: Annual Review 18, n.º 2 (2011): 45–56. http://dx.doi.org/10.18848/1447-9494/cgp/v18i02/47500.
Texto completoZhang, Hanwang, Xindi Shang, Huanbo Luan, Meng Wang y Tat-Seng Chua. "Learning from Collective Intelligence". ACM Transactions on Multimedia Computing, Communications, and Applications 13, n.º 1 (17 de enero de 2017): 1–23. http://dx.doi.org/10.1145/2978656.
Texto completoForsyth, Lachlan y Lynette Schaverien. "Re-presenting collective learning". ACM SIGGROUP Bulletin 24, n.º 3 (diciembre de 2003): 25–31. http://dx.doi.org/10.1145/1052829.1052836.
Texto completoNovikov, Dmitry A. "COLLECTIVE LEARNING-BY-DOING". IFAC Proceedings Volumes 45, n.º 11 (2012): 408–12. http://dx.doi.org/10.3182/20120619-3-ru-2024.00002.
Texto completoSitkin, Sim B. "SHAPING COLLECTIVE COGNITION AND BEHAVIOR THROUGH COLLECTIVE LEARNING." Academy of Management Proceedings 2000, n.º 1 (agosto de 2000): B1—B6. http://dx.doi.org/10.5465/apbpp.2000.5535126.
Texto completoFadul, Jose A. "Collective Learning: Applying Distributed Cognition for Collective Intelligence". International Journal of Learning: Annual Review 16, n.º 4 (2009): 211–20. http://dx.doi.org/10.18848/1447-9494/cgp/v16i04/46223.
Texto completoSchechter, Chen. "Toward Communal Negotiation of Meaning in Schools: Principals’ Perceptions of Collective Learning from Success". Teachers College Record: The Voice of Scholarship in Education 113, n.º 11 (noviembre de 2011): 2415–59. http://dx.doi.org/10.1177/016146811111301107.
Texto completoFlack, Andrea y Dora Biro. "Collective learning in route navigation". Communicative & Integrative Biology 6, n.º 6 (9 de noviembre de 2013): e26521. http://dx.doi.org/10.4161/cib.26521.
Texto completoTesis sobre el tema "Collective learning"
Holmquist, Mats. "Collective Learning in Innovative Networks". Högskolan i Halmstad, Regionalt lärande och ledarskap (RELL), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-21771.
Texto completoXiong, Liang. "On Learning from Collective Data". Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/560.
Texto completoWu, Zhichao. "Modelling collective learning in conceptual design". Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405494.
Texto completoWang, Xi. "Learning Collective Behavior in Multi-relational Networks". Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6379.
Texto completoPh.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering
Kim, Juho Ph D. Massachusetts Institute of Technology. "Learnersourcing : improving learning with collective learner activity". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101464.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages [199]-213).
Millions of learners today are watching videos on online platforms, such as Khan Academy, YouTube, Coursera, and edX, to take courses and master new skills. But existing video interfaces are not designed to support learning, with limited interactivity and lack of information about learners' engagement and content. Making these improvements requires deep semantic information about video that even state-of-the-art AI techniques cannot fully extract. I take a data-driven approach to address this challenge, using large-scale learning interaction data to dynamically improve video content and interfaces. Specifically, this thesis introduces learnersourcing, a form of crowdsourcing in which learners collectively contribute novel content for future learners while engaging in a meaningful learning experience themselves. I present learnersourcing applications designed for massive open online course videos and how-to tutorial videos, where learners' collective activities 1) highlight points of confusion or importance in a video, 2) extract a solution structure from a tutorial, and 3) improve the navigation experience for future learners. This thesis demonstrates how learnersourcing can enable more interactive, collaborative, and data-driven learning.
by Juho Kim.
Ph. D.
Tödtling, Franz, Patrick Lehner y Michaela Trippl. "Knowledge intensive industries, networks, and collective learning". Institut für Wirtschaftsgeographie, Abt. Stadt- und Regionalentwicklung, WU Vienna University of Economics and Business, 2004. http://epub.wu.ac.at/636/1/document.pdf.
Texto completoSeries: SRE - Discussion Papers
Richardson, Matthew. "Learning and inference in collective knowledge bases /". Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6926.
Texto completoRhamachan, Molly. "Social movement learning: Collective,participatory learning within the jyoti jivanam movement of south Africa". University of the Western Cape, 2014. http://hdl.handle.net/11394/4401.
Texto completoThe purpose of this research paper is to explore and examine the nature of learning within the context of and situated within a social movement. Based on an exploratory qualitative study of learning within the Jyoti Jivanam Movement of South Africa, this research explores the nature and purpose/s of learning within a social movement. Accordingly, this study is guided by the research questions: How and why do adults learn as they collectively participate in social movements; and what factors facilitate, contribute, hinder and influence learning within social movement? This study confirms that social movements are important sites for. Collective learning and knowledge construction. For this reason, social movements need to be acknowledged as pedagogical sites that afford adults worthwhile learning opportunities. Furthermore, social movements, as pedagogical sites, not only contribute to conceptions of what constitute legitimate knowledge(s), social movements also contribute to the creation of transformative knowledge(s).
Gulcehre, Caglar. "Two Approaches For Collective Learning With Language Games". Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613109/index.pdf.
Texto completos naming game. The emergence of categories throughout interactions between a population of agents in the categorization games are analyzed. The test results of categorization games as a model combination algorithm with various machine learning algorithms on different data sets have shown that categorization games can have a comparable performance with fast convergence.
Verri, Filipe Alves Neto. "Collective dynamics in complex networks for machine learning". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18102018-113054/.
Texto completoAprendizado de máquina permite que computadores aprendam automaticamente dos dados. Na literatura, métodos baseados em grafos recebem crescente atenção por serem capazes de aprender através de informações locais e globais. Nestes métodos, cada item de dado é um vértice e as conexões são dadas uma regra de afinidade. Todavia, tais técnicas possuem custo de tempo impraticável para grandes grafos. O uso de heurísticas supera este problema, encontrando soluções subótimas em tempo factível. No início, alguns métodos de otimização inspiraram suas heurísticas em processos naturais coletivos, como formigas procurando por comida e enxames de abelhas. Atualmente, os avanços na área de sistemas complexos provêm ferramentas para medir e entender estes sistemas. Redes complexas, as quais são grafos com topologia não trivial, são uma das ferramentas. Elas são capazes de descrever as relações entre topologia, estrutura e dinâmica de sistemas complexos. Deste modo, novos métodos de aprendizado baseados em redes complexas e dinâmica coletiva vêm surgindo. Eles atuam em três passos. Primeiro, uma rede complexa é construída da entrada. Então, simula-se um sistema coletivo distribuído na rede para obter informações. Enfim, a informação coletada é utilizada para resolver o problema. A interação entre indivíduos no sistema permite alcançar uma dinâmica muito mais complexa do que o comportamento individual. Nesta pesquisa, estudei o uso de dinâmica coletiva em problemas de aprendizado de máquina, tanto em casos não supervisionados como semissupervisionados. Especificamente, propus um novo sistema de competição de partículas cuja competição ocorre em arestas ao invés de vértices, aumentando a informação do sistema. Ainda, o sistema proposto é o primeiro modelo de competição de partículas aplicado em aprendizado de máquina com comportamento determinístico. Resultados comprovam várias vantagens do modelo em arestas, includindo detecção de áreas sobrepostas, melhor exploração do espaço e convergência mais rápida. Além disso, apresento uma nova técnica de formação de redes que não é baseada na similaridade dos dados e possui baixa complexidade computational. Uma vez que o custo de inserção e remoção de exemplos na rede é barato, o método pode ser aplicado em aplicações de tempo real. Finalmente, conduzi um estudo analítico em um sistema de alinhamento de partículas. O estudo foi necessário para garantir o comportamento esperado na aplicação do sistema em problemas de detecção de comunidades. Em suma, os resultados da pesquisa contribuíram para várias áreas de aprendizado de máquina e sistemas complexos.
Libros sobre el tema "Collective learning"
Kassam, Tamiza A. Collective learning within nursing clinical groups. St. Catharines, Ont: Brock University, Faculty of Education, 2002.
Buscar texto completoSteiner, Roy y Duncan Hanks, eds. Harnessing the Power of Collective Learning. and Duncan Hanks.Description: New York, NY : Routledge, 2016.: Routledge, 2016. http://dx.doi.org/10.4324/9781315651248.
Texto completoSanders, William R. Collective staff training in a virtual learning environment. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2002.
Buscar texto completoNational Joint Committee on Learning Disabilities (U.S.), ed. Collective perspectives on issues affecting learning disabilities: Position papers and statements. Austin, Tex: Pro-Ed, 1994.
Buscar texto completoDatta, Rukmini. Behind the scenes action: Learning from a collective process. New Delhi: Programme on Women's Economic Social and Cultural Rights, 2010.
Buscar texto completoDavid, Keeble y Wilkinson Frank, eds. High-technology clusters, networking, and collective learning in Europe. Aldershot , Hampshire, England: Ashgate, 2000.
Buscar texto completoRational herds: Economic models of social learning. Cambridge: Cambridge University Press, 2004.
Buscar texto completoA, Lambert Judith, ed. Collective learning for transformational change: A guide to collaborative action. New York: Routledge, 2013.
Buscar texto completoThe emergence of artificial cognition: An introduction to collective learning. Singapore: World Scientific, 1993.
Buscar texto completoKafker, Frank A. The encyclopedists as a group: A collective biography of the authors of the Encyclopédie. Oxford: Voltaire Foundation, 1996.
Buscar texto completoCapítulos de libros sobre el tema "Collective learning"
Hu, Angang. "Collective Learning". En China’s Collective Presidency, 73–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55279-3_5.
Texto completoGaravan, Thomas N. y Ronan Carbery. "Collective Learning". En Encyclopedia of the Sciences of Learning, 646–49. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_136.
Texto completoShultz, Thomas R., Scott E. Fahlman, Susan Craw, Periklis Andritsos, Panayiotis Tsaparas, Ricardo Silva, Chris Drummond et al. "Collective Classification". En Encyclopedia of Machine Learning, 189–93. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_140.
Texto completoHager, Paul y Mary C. Johnsson. "Collective Learning Practice". En Professional and Practice-based Learning, 249–65. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4774-6_16.
Texto completoHayes, John. "Facilitating collective learning". En The Theory and Practice of Change Management, 501–14. London: Macmillan Education UK, 2018. http://dx.doi.org/10.1057/978-1-352-00132-7_33.
Texto completoBoreham, Nick. "Competence as Collective Process". En Vocational Learning, 77–91. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1539-4_5.
Texto completoNamata, Galileo, Prithviraj Sen, Mustafa Bilgic y Lise Getoor. "Collective Classification". En Encyclopedia of Machine Learning and Data Mining, 1–7. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-7502-7_44-1.
Texto completoNamata, Galileo, Prithviraj Sen, Mustafa Bilgic y Lise Getoor. "Collective Classification". En Encyclopedia of Machine Learning and Data Mining, 238–42. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_44.
Texto completoXynogala, Lydia. "Learning from Loutraki". En Architecture and Collective Life, 182–94. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003118985-19.
Texto completoHayes, John. "Individual and collective learning". En The Theory and Practice of Change Management, 487–511. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-28902-5_29.
Texto completoActas de conferencias sobre el tema "Collective learning"
Mittrick, Mark R., John Richardson, Mark Dennison, Theron Trout, Eric Heilman y Timothy Hanratty. "Investigating immersive collective intelligence". En Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, editado por Tien Pham. SPIE, 2019. http://dx.doi.org/10.1117/12.2519364.
Texto completoChan, Rosanna Y. Y., Morris S. Y. Jong, Eric T. H. Luk y Xueqi Zhang. "Dynamic Collective Mobile Gaming". En 2013 IEEE 13th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2013. http://dx.doi.org/10.1109/icalt.2013.145.
Texto completoSingh, Ajit P. y Geoffrey J. Gordon. "Relational learning via collective matrix factorization". En the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401969.
Texto completoChoi, Wongun, Khuram Shahid y Silvio Savarese. "Learning context for collective activity recognition". En 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2011. http://dx.doi.org/10.1109/cvpr.2011.5995707.
Texto completoLiu, Zixuan, Michael Crosscombe y Jonathan Lawry. "Imprecise Fusion Operators for Collective Learning". En The 2021 Conference on Artificial Life. Cambridge, MA: MIT Press, 2021. http://dx.doi.org/10.1162/isal_a_00407.
Texto completoGea, Miguel, Rosana Montes Soldado y Vanesa Gamiz. "Collective intelligence and online learning communities". En 2011 International Conference on Information Society (i-Society). IEEE, 2011. http://dx.doi.org/10.1109/i-society18435.2011.5978461.
Texto completoDongwon Lee, Jaejeung Kim y Howon Lee. "Collective intelligence based Collaborative Learning platform". En 2010 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2010. http://dx.doi.org/10.1109/ictc.2010.5674754.
Texto completoChen, Xiaoyu, Jiangchao Yao, Yanfeng Wang y Ya Zhang. "Online Learning Algorithm for Collective LDA". En 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.177.
Texto completoMeza, Jaime, Oswaldo Ortiz, Ester Simó y Joseph M. Monguet. "MEASURING THE COLLECTIVE INTELLIGENCE EDUCATION INDEX". En International Conference on Education and New Learning Technologies. IATED, 2017. http://dx.doi.org/10.21125/edulearn.2017.1647.
Texto completoBrennan, Riordan y Debbie Perouli. "Generating and Evaluating Collective Concept Maps". En LAK22: 12th International Learning Analytics and Knowledge Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3506860.3506918.
Texto completoInformes sobre el tema "Collective learning"
Singh, Ajit P. y Geoffrey J. Gordon. Relational Learning via Collective Matrix Factorization. Fort Belvoir, VA: Defense Technical Information Center, junio de 2008. http://dx.doi.org/10.21236/ada486804.
Texto completoSanders, William R. Collective Staff Training in a Virtual Learning Environment. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2002. http://dx.doi.org/10.21236/ada400495.
Texto completoMcGilvray, David H., Bruce C. Leibrecht y Karen J. Lockaby. Measuring Learning and Performance in Collective Training Exercises. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2008. http://dx.doi.org/10.21236/ada479614.
Texto completoElliott, Kerry, Hilary Hollingsworth, Aiden Thornton, Liz Gillies y Katherine Henderson. School leadership that cultivates collective efficacy: Emerging insights 2022. Australian Council for Educational Research, noviembre de 2022. http://dx.doi.org/10.37517/978-1-74286-694-9.
Texto completoHoward, Jo, Evert-jan Quak y Jim Woodhill. A Practical Approach for Supporting Learning in Development Organisations. Institute of Development Studies, septiembre de 2022. http://dx.doi.org/10.19088/k4d.2022.120.
Texto completoYoung, Stephen, Jessica Diaz, Bert De Coutere y Holly Downs. Leadership Development in the Flow of Work: Leveraging Technology to Accelerate Learning. Center for Creative Leadership, 2022. http://dx.doi.org/10.35613/ccl.2022.2047.
Texto completoShaw, Jackie, Masa Amir, Tessa Lewin, Jean Kemitare, Awa Diop, Olga Kithumbu, Danai Mupotsa y Stella Odiase. Contextualising Healing Justice as a Feminist Organising Framework in Africa. Institute of Development Studies, agosto de 2022. http://dx.doi.org/10.19088/ids.2022.063.
Texto completoEblie Trudel, Lesley. Leveraging Collective Efficacy in The Dangerous Space Between Good Intentions and Meaningful Interventions: A Study on the Use of School Suspensions in Manitoba; A Review of Literature for Manitoba Education and Early Childhood Learning. University of Winnipeg, diciembre de 2022. http://dx.doi.org/10.36939/ir.202212191117.
Texto completoTumer, Kagan. Coordinating Learning Agents for Active Information Collection. Fort Belvoir, VA: Defense Technical Information Center, junio de 2011. http://dx.doi.org/10.21236/ada563864.
Texto completoLavrentieva, Olena O., Lina M. Rybalko, Oleh O. Tsys y Aleksandr D. Uchitel. Theoretical and methodical aspects of the organization of students’ independent study activities together with the use of ICT and tools. [б. в.], septiembre de 2019. http://dx.doi.org/10.31812/123456789/3244.
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