Gotowe bibliografie tematyczne / In-Context learning

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „In-Context learning”

Autor: Grafiati
Data publikacji: 30 listopada 2024
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "In-Context learning"

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Paramita, Kristanti Dewi, and Yandi Andri Yatmo. "CONTEXT LEARNING TRANSFORMATION IN ARCHITECTURAL DESIGN STUDIO." MODUL 20, no. 2 (2020): 157–66. http://dx.doi.org/10.14710/mdl.20.2.2020.157-166.

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This paper reflects the shifting understanding of context in a data-based architectural studio. With the school closure in the beginning of the COVID pandemic, the overall learning process is largely conducted online. Big Data becomes an important discourse that provides some benefits and opportunities which transform the design and learning process in an architectural studio, particularly on how students may explore and understand their context. Exploring the works of third-year architectural students in Department of Architecture, Faculty of Engineering Universitas Indonesia, this paper high
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Silva, Lilian Reis da. "The human learning process in the organizational context." Núcleo do Conhecimento 08, no. 10 (2021): 17–30. https://doi.org/10.32749/nucleodoconhecimento.com.br/education/human-learning-process.

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This article, elaborated through bibliographic research, has as a fundamental question the way individuals learn and interact in the context of organizations. Aiming to address how individual learning contributes to organizational learning among individuals. From the literature analyzed, it was found that the knowledge and knowledge acquired individually by people must be added to the communication, interaction and sharing skills with colleagues, within the scope of organizations, so that together they learn the culture, internal system, objectives and practices inherent to it, in order to ach
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DiSalvo, Betsy James, Kevin Crowley, and Roy Norwood. "Learning in Context." Games and Culture 3, no. 2 (2008): 131–41. http://dx.doi.org/10.1177/1555412008314130.

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Li, Chieh, and Ena Vazquez Nuttall. "Context, Context, Context: Powerful Factor in Language Learning." Contemporary Psychology: A Journal of Reviews 41, no. 5 (1996): 501–3. http://dx.doi.org/10.1037/004472.

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Keiding, Tina Bering. "Learning in context – But what is a learning context?" Nordic Studies in Education 27, no. 02 (2007): 138–50. http://dx.doi.org/10.18261/issn1891-5949-2007-02-04.

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Stein, Gary, and Avelino J. Gonzalez. "Learning in context: enhancing machine learning with context-based reasoning." Applied Intelligence 41, no. 3 (2014): 709–24. http://dx.doi.org/10.1007/s10489-014-0550-0.

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Traxler, John. "Context in a wider context." Mobile Learning in Widening Contexts: Concepts and Cases 19, Mobile Learning (2011): 1–16. http://dx.doi.org/10.21240/mpaed/19/2011.07.08.x.

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This paper attempts to review and reconsider the role of context in mobile learning and starts by outlining definitions of context-aware mobile learning as the technologies have become more mature, more robust and more widely available and as the notion of context has become progressively richer. The future role of context-aware mobile learning is considered within the context of the future of mobile learning as it moves from the challenges and opportunities of pedagogy and technology to the challenges and opportunities of policy, scale, sustainability, equity and engagement with augmented rea
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Meyer, Margaret R., and Georgianna Diopoulos. "Anchored Learning in Context." Mathematics Teaching in the Middle School 8, no. 1 (2002): 16–21. http://dx.doi.org/10.5951/mtms.8.1.0016.

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O'Brien, Marion, and Xiufen Bi. "Language Learning in Context." Topics in Early Childhood Special Education 15, no. 2 (1995): 148–63. http://dx.doi.org/10.1177/027112149501500202.

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Göker, A. "Context learning in Okapi." Journal of Documentation 53, no. 1 (1997): 80–83. http://dx.doi.org/10.1108/eum0000000007194.

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Rozprawy doktorskie na temat "In-Context learning"

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Colborn, Matthew L. C. "Context learning in bumblebees." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398787.

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Yao, Xin. "Word Learning in Context." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1291060246.

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Beagle, Donald. "The Learning Commons in Historical Context." 名古屋大学附属図書館研究開発室, 2009. http://hdl.handle.net/2237/14578.

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Smith, Jeremiah. "Learning in mobile context-aware applications." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/30633.

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This thesis explores and proposes solutions to the challenges in deploying context-aware systems that make decisions or take actions based on the predictions of a machine learner over long periods of time. In particular, this work focuses on mobile context-aware applications which are intrinsically personal, requiring a specific solution for each individual that takes into account user preferences and changes in user behaviour as time passes. While there is an abundance of research on mobile context-aware applications which employ machine learning, most does not address the three core challeng
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Gómez, Ardila Sergio Eduardo. "Learning design implementation in context-aware and adaptive mobile learning." Doctoral thesis, Universitat de Girona, 2013. http://hdl.handle.net/10803/116492.

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Mobile learning (m-learning) is still in its infancy, and great efforts should be made so as to investigate the potentials of an educational paradigm shift from the traditional one-size-fits-all teaching approaches to an adaptive learning that can be delivered via mobile devices. Thus, the next challenge has been identified from this implication: How learning design can be implemented so as to benefit from the m-learning characteristics and achieve adaptation and personalization of the individual learning process in different contexts? An important factor for achieving personalized and adaptiv
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Leung, Kit Hang. "Reflective learning in a Continuing Medical Education e-learning context." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32613.

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Abstract The lack of a practical operational definition of "reflective learning" suitable for characterizing observations of performance is widely acknowledged. This definition is needed for observing and documenting reflective practice in research, education, and continuing professional development. The current exploratory research aims to operationalize "reflective learning" using a conceptual framework based on a comprehensive review of the relevant literature, and to validate this framework in the con
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Ta, Thi Han Hoan. "Self-regulated learning in a Vietnamese context." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0026/MQ51482.pdf.

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Koetsier, Jos. "Context-assisted learning in artifical neural networks." Thesis, University of the West of Scotland, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269408.

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Lowry, Katherine Danielle. "Age and Context Dependency in Causal Learning." TopSCHOLAR®, 2015. http://digitalcommons.wku.edu/theses/1538.

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The ability to make associations between causal cues and outcomes is an important adaptive trait that allows us to properly prepare for an upcoming event. Encoding context is a type of associative processing; thus, context is also an important aspect of acquiring causal relationships. Context gives us additional information about how two events are related and allows us to be flexible in how we respond to causal cues. Research indicates that older adults exhibit an associative deficit as well as a deficit in contextual processing; therefore, it seems likely that these deficits are responsible
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Johansson, Samuel, and Karol Wojtulewicz. "Machine learning algorithms in a distributed context." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148920.

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Interest in distributed approaches to machine learning has increased significantly in recent years due to continuously increasing data sizes for training machine learning models. In this thesis we describe three popular machine learning algorithms: decision trees, Naive Bayes and support vector machines (SVM) and present existing ways of distributing them. We also perform experiments with decision trees distributed with bagging, boosting and hard data partitioning and evaluate them in terms of performance measures such as accuracy, F1 score and execution time. Our experiments show that the exe
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Książki na temat "In-Context learning"

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Duval, Erik, Steffan Ternier, and F. van Assche. Learning objects in context. Association for the Advancement of Computing in Education, 2009.

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Helen, Rainbird, Fuller Alison, and Munro Anne, eds. Workplace learning in context. Routledge, 2004.

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Geoffrey, Walford, and Massey Alexander, eds. Children learning in context. JAI Press, 1998.

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Center for Occupational Research and Development (U.S.), ed. Algebra 1: Learning in context. 3rd ed. CORD Communications, 2009.

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Breiteig, T. Teaching and learning mathematics in context. E. Horwood, 1993.

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Robert, Tinker, and Krajcik Joseph S, eds. Portable technologies: Science learning in context. Kluwer Academic/Plenum Publishers, 2001.

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Peter, Jarvis. Adult learning in the social context. Croom Helm, 1987.

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Jarvis, P. Adult learning in the social context. Routledge & Kegan Paul, 1987.

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Paul, Walker. Writing in context: Composition in first-year learning communities. Hampton Press, Inc., 2013.

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Kirsten, Malmkjær, Williams John 1960-, and Summer Institute in English and Applied Linguistics (3rd : 1995 : University of Cambridge), eds. Context in language learning and language understanding. Cambridge University Press, 1998.

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Części książek na temat "In-Context learning"

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Campion, Jean. "Learning difficulties." In The Child in Context. Routledge, 2025. https://doi.org/10.4324/9781003629733-12.

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Johnson, Cynthia L. "Context and Machine Learning." In Context in Computing. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1887-4_8.

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Egbert, Joy. "10. Learning in context." In Teacher Education in CALL. John Benjamins Publishing Company, 2006. http://dx.doi.org/10.1075/lllt.14.15egb.

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Stirling, Diana. "Online Learning in Context." In Learners in a Changing Learning Landscape. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8299-3_8.

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Day, Marc. "Organisational learning, ambidexterity and strategic innovation." In Strategy in Context. Routledge, 2024. http://dx.doi.org/10.4324/9781003400769-8.

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Artess, Jane. "Learning to be employable." In Graduate Careers in Context. Routledge, 2018. http://dx.doi.org/10.4324/9780203732281-8.

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Forissier, Thomas, Jacqueline Bourdeau, Yves Mazabraud, and Roger Nkambou. "Computing the Context Effect for Science Learning." In Context in Computing. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1887-4_17.

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Hardison, Debra M. "The visual element in phonological perception and learning." In Phonology in Context. Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230625396_6.

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Khunyakari, Ritesh. "Assessment and Learning in Indian Context." In Learning without Burden. Routledge India, 2022. http://dx.doi.org/10.4324/9781003046059-7.

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Kleyn, Tatyana, and Tim Porter. "Return Migration in Context." In Living, Learning, and Languaging Across Borders. Routledge, 2021. http://dx.doi.org/10.4324/9780429340178-1.

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Streszczenia konferencji na temat "In-Context learning"

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Safaee, Mehdi, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, and Ali Mahdavi-Amiri. "CLiC: Concept Learning in Context." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00661.

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Wang, Xinshun, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, and Mengyuan Liu. "Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00236.

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Bertsch, Amanda, Maor Ivgi, Emily Xiao, et al. "In-Context Learning with Long-Context Models: An In-Depth Exploration." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-long.605.

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Chen, Yunmo, Tongfei Chen, Harsh Jhamtani, et al. "Learning to Retrieve Iteratively for In-Context Learning." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.406.

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Dong, Qingxiu, Lei Li, Damai Dai, et al. "A Survey on In-context Learning." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.64.

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Zhou, Anlai, Sunshine Jiang, Yifei Liu, Yiquan Wu, Kun Kuang, and Jun Xiao. "Latent Learningscape Guided In-context Learning." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.482.

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Santos, Sarah, Travis Breaux, Thomas Norton, Sara Haghighi, and Sepideh Ghanavati. "Requirements Satisfiability with In-Context Learning." In 2024 IEEE 32nd International Requirements Engineering Conference (RE). IEEE, 2024. http://dx.doi.org/10.1109/re59067.2024.00025.

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He, Pengfei, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, and Jiliang Tang. "Data Poisoning for In-context Learning." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.91.

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Li, Xingxuan, Xuan-Phi Nguyen, Shafiq Joty, and Lidong Bing. "ParaICL: Towards Parallel In-Context Learning." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-long.621.

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Kirubakaran, N., Varadha Rajan S, R. Parijatham, Ramya Bharathi K, P. Jegadeeshwari, and V. Vijayaraja. "E-Learning Privacy in the Context of Machine Learning." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011888.

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Raporty organizacyjne na temat "In-Context learning"

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Bykova, Tatyana B., Mykola V. Ivashchenko, Darja A. Kassim, and Vasyl I. Kovalchuk. Blended learning in the context of digitalization. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4441.

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The realities of digitalization require changes in strategies for choosing educational technologies. The modern educational process is not possible without the use of digital technologies. Digital technologies have led to the arising and development of blended learning. However, its effectiveness is determined not only by technology. The human factor receives special attention in this direction. Analysis of the World Development Report 2016: Digital Dividends allows us to identify digital competence as a necessary condition for the successful use of digital technologies, and hence blended lear
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Ganapathysubramanian, Baskar. Context-Aware Learning for Inverse Design in Photovoltaics. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/2371715.

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Duden, Mary. Teacher Learning in the Context of Students’ Mathematical Thinking. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7367.

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Bock, Geoffrey. Putting E-Learning in the Context of Customers Scenarios. Patricia Seybold Group, 2004. http://dx.doi.org/10.1571/psgp9-24-04cc.

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Halverstadt, Ashleigh Halverstadt. Learning in Context: Reflections on the Education Team’s Approach to Evaluation. S. D. Bechtel, Jr. Foundation, 2020. http://dx.doi.org/10.15868/socialsector.37444.

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Mittal, Nidhi, Nipunika Perera, and Outi Korkeala. Learning Materials: Leaving no-one behind in the climate and environment context. Evidence on Demand, 2016. http://dx.doi.org/10.12774/eod_tg.october2016.mittal.

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Roh, Anthony M. Russian Organizational Learning in the Context of the Afghanistan and Chechnya Counterinsurgencies. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada614153.

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Bret Linford, Bret Linford. Learning beyond the textbook: Developing dialect-specific grammar in a study abroad context. Experiment, 2013. http://dx.doi.org/10.18258/1568.

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Бакум, З. П., and В. В. Ткачук. Mining Engineers Training in Context of Innovative System of Ukraine. Криворізький державний педагогічний університет, 2014. http://dx.doi.org/10.31812/0564/425.

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The paper clarifies the process of a mining engineer training in terms of the innovation system of Ukraine. The authors analyze a number of normative documents concerning innovative activity in Ukraine in general and mining business in particular. In the process of implementation of innovations into mining industrial complex urgent problems are defined. The methodology of information and communication technologies (electronic, distance and mobile studies) usage in engineers training within the conditions of university education is offered. It is marked that the worked out methodology finds its
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Tay, Hui Yong, and Norman Kiak Nam Kee. Assessments for learning in inclusive classrooms. National Institute of Education, Nanyang Technological University, Singapore, 2020. https://doi.org/10.32658/10497/23254.

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This study builds upon recent research into Assessment for Learning (AfL) practices in Singapore secondary schools (Brown, Deneen, Fulmer, Leong, Tan, & Tay, 2017 April). It aims to extend our understanding of certain AfL competencies highlighted in the latter study in a more specific context of an inclusive classroom, particularly mainstream school classes with students with Autism Spectrum Disorder (ASD). The incidence of ASD in Singapore is one in 150 children, higher than World Health Organisation's global figure of one in 160 (Ng, 2017). Students with ASD have the cognitive abilities
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