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Статті в журналах з теми "Collective learning"
Backström, Tomas. "Collective learning." Learning Organization 11, no. 6 (December 2004): 466–77. http://dx.doi.org/10.1108/09696470410548827.
Повний текст джерелаFu, Wai‐Ki, Hing‐Po Lo, and Derek S. Drew. "Collective learning, collective knowledge and learning networks in construction." Construction Management and Economics 24, no. 10 (October 2006): 1019–28. http://dx.doi.org/10.1080/01446190500228258.
Повний текст джерелаVengerov, Alexander. "Collective Learning and Collective Intelligence Working Together." International Journal of Learning: Annual Review 18, no. 2 (2011): 45–56. http://dx.doi.org/10.18848/1447-9494/cgp/v18i02/47500.
Повний текст джерелаZhang, Hanwang, Xindi Shang, Huanbo Luan, Meng Wang, and Tat-Seng Chua. "Learning from Collective Intelligence." ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 1 (January 17, 2017): 1–23. http://dx.doi.org/10.1145/2978656.
Повний текст джерелаForsyth, Lachlan, and Lynette Schaverien. "Re-presenting collective learning." ACM SIGGROUP Bulletin 24, no. 3 (December 2003): 25–31. http://dx.doi.org/10.1145/1052829.1052836.
Повний текст джерелаNovikov, Dmitry A. "COLLECTIVE LEARNING-BY-DOING." IFAC Proceedings Volumes 45, no. 11 (2012): 408–12. http://dx.doi.org/10.3182/20120619-3-ru-2024.00002.
Повний текст джерелаSitkin, Sim B. "SHAPING COLLECTIVE COGNITION AND BEHAVIOR THROUGH COLLECTIVE LEARNING." Academy of Management Proceedings 2000, no. 1 (August 2000): B1—B6. http://dx.doi.org/10.5465/apbpp.2000.5535126.
Повний текст джерелаFadul, Jose A. "Collective Learning: Applying Distributed Cognition for Collective Intelligence." International Journal of Learning: Annual Review 16, no. 4 (2009): 211–20. http://dx.doi.org/10.18848/1447-9494/cgp/v16i04/46223.
Повний текст джерелаSchechter, 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, no. 11 (November 2011): 2415–59. http://dx.doi.org/10.1177/016146811111301107.
Повний текст джерелаFlack, Andrea, and Dora Biro. "Collective learning in route navigation." Communicative & Integrative Biology 6, no. 6 (November 9, 2013): e26521. http://dx.doi.org/10.4161/cib.26521.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаXiong, Liang. "On Learning from Collective Data." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/560.
Повний текст джерелаWu, Zhichao. "Modelling collective learning in conceptual design." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405494.
Повний текст джерелаWang, 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.
Повний текст джерелаPh.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.
Повний текст джерелаThis 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, and 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.
Повний текст джерелаSeries: 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.
Повний текст джерелаRhamachan, 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.
Повний текст джерелаThe 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.
Повний текст джерелаs 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/.
Повний текст джерелаAprendizado 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.
Книги з теми "Collective learning"
Kassam, Tamiza A. Collective learning within nursing clinical groups. St. Catharines, Ont: Brock University, Faculty of Education, 2002.
Знайти повний текст джерелаSteiner, Roy, and 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.
Повний текст джерелаSanders, William R. Collective staff training in a virtual learning environment. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2002.
Знайти повний текст джерелаNational Joint Committee on Learning Disabilities (U.S.), ed. Collective perspectives on issues affecting learning disabilities: Position papers and statements. Austin, Tex: Pro-Ed, 1994.
Знайти повний текст джерелаDatta, Rukmini. Behind the scenes action: Learning from a collective process. New Delhi: Programme on Women's Economic Social and Cultural Rights, 2010.
Знайти повний текст джерелаDavid, Keeble, and Wilkinson Frank, eds. High-technology clusters, networking, and collective learning in Europe. Aldershot , Hampshire, England: Ashgate, 2000.
Знайти повний текст джерелаRational herds: Economic models of social learning. Cambridge: Cambridge University Press, 2004.
Знайти повний текст джерелаA, Lambert Judith, ed. Collective learning for transformational change: A guide to collaborative action. New York: Routledge, 2013.
Знайти повний текст джерелаThe emergence of artificial cognition: An introduction to collective learning. Singapore: World Scientific, 1993.
Знайти повний текст джерелаKafker, Frank A. The encyclopedists as a group: A collective biography of the authors of the Encyclopédie. Oxford: Voltaire Foundation, 1996.
Знайти повний текст джерелаЧастини книг з теми "Collective learning"
Hu, Angang. "Collective Learning." In China’s Collective Presidency, 73–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55279-3_5.
Повний текст джерелаGaravan, Thomas N., and Ronan Carbery. "Collective Learning." In 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.
Повний текст джерелаShultz, Thomas R., Scott E. Fahlman, Susan Craw, Periklis Andritsos, Panayiotis Tsaparas, Ricardo Silva, Chris Drummond, et al. "Collective Classification." In Encyclopedia of Machine Learning, 189–93. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_140.
Повний текст джерелаHager, Paul, and Mary C. Johnsson. "Collective Learning Practice." In Professional and Practice-based Learning, 249–65. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4774-6_16.
Повний текст джерелаHayes, John. "Facilitating collective learning." In 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.
Повний текст джерелаBoreham, Nick. "Competence as Collective Process." In Vocational Learning, 77–91. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1539-4_5.
Повний текст джерелаNamata, Galileo, Prithviraj Sen, Mustafa Bilgic, and Lise Getoor. "Collective Classification." In 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.
Повний текст джерелаNamata, Galileo, Prithviraj Sen, Mustafa Bilgic, and Lise Getoor. "Collective Classification." In 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.
Повний текст джерелаXynogala, Lydia. "Learning from Loutraki." In Architecture and Collective Life, 182–94. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003118985-19.
Повний текст джерелаHayes, John. "Individual and collective learning." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Collective learning"
Mittrick, Mark R., John Richardson, Mark Dennison, Theron Trout, Eric Heilman, and Timothy Hanratty. "Investigating immersive collective intelligence." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, edited by Tien Pham. SPIE, 2019. http://dx.doi.org/10.1117/12.2519364.
Повний текст джерелаChan, Rosanna Y. Y., Morris S. Y. Jong, Eric T. H. Luk, and Xueqi Zhang. "Dynamic Collective Mobile Gaming." In 2013 IEEE 13th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2013. http://dx.doi.org/10.1109/icalt.2013.145.
Повний текст джерелаSingh, Ajit P., and Geoffrey J. Gordon. "Relational learning via collective matrix factorization." In the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401969.
Повний текст джерелаChoi, Wongun, Khuram Shahid, and Silvio Savarese. "Learning context for collective activity recognition." In 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2011. http://dx.doi.org/10.1109/cvpr.2011.5995707.
Повний текст джерелаLiu, Zixuan, Michael Crosscombe, and Jonathan Lawry. "Imprecise Fusion Operators for Collective Learning." In The 2021 Conference on Artificial Life. Cambridge, MA: MIT Press, 2021. http://dx.doi.org/10.1162/isal_a_00407.
Повний текст джерелаGea, Miguel, Rosana Montes Soldado, and Vanesa Gamiz. "Collective intelligence and online learning communities." In 2011 International Conference on Information Society (i-Society). IEEE, 2011. http://dx.doi.org/10.1109/i-society18435.2011.5978461.
Повний текст джерелаDongwon Lee, Jaejeung Kim, and Howon Lee. "Collective intelligence based Collaborative Learning platform." In 2010 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2010. http://dx.doi.org/10.1109/ictc.2010.5674754.
Повний текст джерелаChen, Xiaoyu, Jiangchao Yao, Yanfeng Wang, and Ya Zhang. "Online Learning Algorithm for Collective LDA." In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.177.
Повний текст джерелаMeza, Jaime, Oswaldo Ortiz, Ester Simó, and Joseph M. Monguet. "MEASURING THE COLLECTIVE INTELLIGENCE EDUCATION INDEX." In International Conference on Education and New Learning Technologies. IATED, 2017. http://dx.doi.org/10.21125/edulearn.2017.1647.
Повний текст джерелаBrennan, Riordan, and Debbie Perouli. "Generating and Evaluating Collective Concept Maps." In LAK22: 12th International Learning Analytics and Knowledge Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3506860.3506918.
Повний текст джерелаЗвіти організацій з теми "Collective learning"
Singh, Ajit P., and Geoffrey J. Gordon. Relational Learning via Collective Matrix Factorization. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada486804.
Повний текст джерелаSanders, William R. Collective Staff Training in a Virtual Learning Environment. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada400495.
Повний текст джерелаMcGilvray, David H., Bruce C. Leibrecht, and Karen J. Lockaby. Measuring Learning and Performance in Collective Training Exercises. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada479614.
Повний текст джерелаElliott, Kerry, Hilary Hollingsworth, Aiden Thornton, Liz Gillies, and Katherine Henderson. School leadership that cultivates collective efficacy: Emerging insights 2022. Australian Council for Educational Research, November 2022. http://dx.doi.org/10.37517/978-1-74286-694-9.
Повний текст джерелаHoward, Jo, Evert-jan Quak, and Jim Woodhill. A Practical Approach for Supporting Learning in Development Organisations. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/k4d.2022.120.
Повний текст джерелаYoung, Stephen, Jessica Diaz, Bert De Coutere, and 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.
Повний текст джерелаShaw, Jackie, Masa Amir, Tessa Lewin, Jean Kemitare, Awa Diop, Olga Kithumbu, Danai Mupotsa, and Stella Odiase. Contextualising Healing Justice as a Feminist Organising Framework in Africa. Institute of Development Studies, August 2022. http://dx.doi.org/10.19088/ids.2022.063.
Повний текст джерелаEblie 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, December 2022. http://dx.doi.org/10.36939/ir.202212191117.
Повний текст джерелаTumer, Kagan. Coordinating Learning Agents for Active Information Collection. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada563864.
Повний текст джерелаLavrentieva, Olena O., Lina M. Rybalko, Oleh O. Tsys, and 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.], September 2019. http://dx.doi.org/10.31812/123456789/3244.
Повний текст джерела