Relevant bibliographies by topics / Site learning

Contents

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

Academic literature on the topic 'Site learning'

Author: Grafiati
Published: 23 September 2022
Last updated: 29 July 2025

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Journal articles on the topic "Site learning"

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M, Mahendra, Y. Divya Sai Prasanna, C. Akhila, K. Janaki, P. Kedeswar Reddy, and P. Bhanu Prakash Sai. "Idea Lab – Social Networking Site for Collaborative Learning." International Journal of Research Publication and Reviews 4, no. 4 (2023): 2214–17. http://dx.doi.org/10.55248/gengpi.2023.4.4.35798.

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Sandars, John. "The e-learning site." Education for Primary Care 16, no. 1 (2005): 94–95. http://dx.doi.org/10.1080/14739879.2005.11493488.

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Sandars, John. "The e-learning site." Education for Primary Care 17, no. 2 (2006): 174–75. http://dx.doi.org/10.1080/14739879.2006.11864056.

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Sandars, John. "The e-learning site." Education for Primary Care 17, no. 3 (2006): 277–78. http://dx.doi.org/10.1080/14739879.2006.11864075.

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Sandars, John. "The e-learning site." Education for Primary Care 17, no. 4 (2006): 408–9. http://dx.doi.org/10.1080/14739879.2006.11864093.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 1 (2007): 114–15. http://dx.doi.org/10.1080/14739879.2007.11493535.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 2 (2007): 223–24. http://dx.doi.org/10.1080/14739879.2007.11493551.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 3 (2007): 407–8. http://dx.doi.org/10.1080/14739879.2007.11493567.

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Sandars, John. "The e-learning site." Education for Primary Care 18, no. 4 (2007): 536–37. http://dx.doi.org/10.1080/14739879.2007.11493583.

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Sandars, John. "The E-Learning Site." Education for Primary Care 18, no. 5 (2007): 650–51. http://dx.doi.org/10.1080/14739879.2007.11493599.

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Dissertations / Theses on the topic "Site learning"

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Rahman, Shamsul Abdul. "A web site for narrative interactive learning environments /." Leeds, 2001. http://www.leeds.ac.uk/library/counter2/compstmsc/20002001/rahman.ps.

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Bouzarda, Mona. "Relinking para-site." Master's thesis, Universidade de Lisboa, Faculdade de Arquitetura, 2018. http://hdl.handle.net/10400.5/17080.

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Dissertação de Mestrado Integrado em Arquitetura, com a especialização em Arquitetura apresentada na Faculdade de Arquitetura da Universidade de Lisboa para obtenção do grau de Mestre.<br>Este trabalho consolida a formação urbana da área dos Olivais, no nordoeste de Lisboa. O projecto lida com a requalificação da área industrial da cidade de Lisboa, ocorrida com o resultado da expanção do planeamento e zoneamento urbano . O principal objectivo é a revitalização, a restruturação e a reparação da malha urbana através da ligação proposta de vários terrenos agora isolados. É necessário prim
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Huss, Jakob. "Cross Site Product Page Classification with Supervised Machine Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

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This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed and tested with various settings. The final result for this classifier ended up being 0.958 in precision and 0.796 in recall for product pages. The scores imply that the method could be considered a valid technique in real world web classification tasks if additional features and more data were made available.
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Melvin, Rebecca. "Site as playground: expanding the experience of play." Kansas State University, 2012. http://hdl.handle.net/2097/13754.

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Master of Landscape Architecture<br>Department of Landscape Architecture<br>Katie Kingery-Page<br>Encouraging creativity is an important part of a child’s education and often not adequately supported by outdoor school environments. Contemporary playgrounds are designed in response to perceptions of liability and a limited interpretation of child development. Prefabricated plastic constructions and expanses of asphalt are poor initiators of creative expression. This project proposes a more stimulating, artistically crafted alternative to the typical playground. Beginning with documented researc
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Jacobzon, Gustaf. "Multi-site Organ Detection in CT Images using Deep Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279290.

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When optimizing a controlled dose in radiotherapy, high resolution spatial information about healthy organs in close proximity to the malignant cells are necessary in order to mitigate dispersion into these organs-at-risk. This information can be provided by deep volumetric segmentation networks, such as 3D U-Net. However, due to limitations of memory in modern graphical processing units, it is not feasible to train a volumetric segmentation network on full image volumes and subsampling the volume gives a too coarse segmentation. An alternative is to sample a region of interest from the image
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Plumb, Robin L. "Barriers to the implementation of the Oklahoma learning site initiative." [Johnson City, Tenn. : East Tennessee State University], 2004. http://etd-submit.etsu.edu/etd/theses/available/etd-0330104-210405/unrestricted/PlumbR040804f.pdf.

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Thesis (Ed. D.)--East Tennessee State University, 2004.<br>Title from electronic submission form. ETSU ETD database URN: etd-0330104-210405. Includes bibliographical references. Also available via Internet at the UMI web site.
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Van, Winkle Christine M. "Meaningful learning at a national historic site how interpretive tour message content affects visitor learning transfer /." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181668731/.

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Blackburn, Michael. "Site design : Indiana Dunes environmental learning center sustainable systems demonstration area." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1244867.

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This creative project explores the principles of permaculture, within the context of environmental sustainability, applying them to the development of the master plan for Camp Goodfellow. Camp Good Fellow is the also known as the Indiana Dunes Environmental Learning Center, part of the Indiana Dunes National Lakeshore located in northwestern Indiana.This project involves design of an overnight environmental education facility within the Goodfellow site. Permaculture principles are applied to the development of a third camp cluster at Goodfellow, focused on sustainable systems demonstration. Th
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Forrester, Catherine Margaret. "The Influence of On-site Professional Development on Teacher Practice." Thesis, Australian Catholic University, 2018. https://acuresearchbank.acu.edu.au/download/1c98ddfb5f1ff302feb888e849c19e2d94242a71358d9ec3b2f54a1a13cbcd8e/6328919/Forrester_2018_The_influence_of_on_site_professional_development.pdf.

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The purpose of this research was to explore how on-site professional development (PD) addresses the goal of improved teacher practice. It was conducted within the context of a national educational reform in Australia. This reform, implemented from 2009 to 2012/13, was a National Partnership Agreement (NPA) with the Commonwealth Government that included the Smarter Schools National Partnerships (SSNP). This research was a multi-site case study of five Catholic primary schools that implemented on-site PD for four years as part of a system response to a reform agenda. Learning on-site was a cha
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Clarke, Hance. "A search for the mammalian brain site(s) mediating occasion setting learning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0026/MQ40690.pdf.

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Books on the topic "Site learning"

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Educational Resources Information Center (U.S.), ed. Learning Site Analysis Form: Reference guide. Northwest Regional Educational Laboratory, 1996.

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Tuinman, Jaap. The on-site personnel who facilitate learning. British Columbia Royal Commission on Education, 1988.

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1967-, Swedberg Karl, ed. Learning jQuery. 3rd ed. Packt Publishing, 2011.

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Karl, Swedberg, ed. Learning jQuery. 4th ed. Packt Publishing, 2013.

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Liberty, Jesse. Learning ASP.NET 2.0 with Ajax. O'Reilly Media, 2007.

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Castiello, Maria Elena. Computational and Machine Learning Tools for Archaeological Site Modeling. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88567-0.

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Edd, Dumbill, ed. Learning Rails. O'Reilly Media, 2008.

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Browne, Glynis Yvonne. Design an e learning site to teach Macromedia Director 8.5. The Author], 2003.

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Pavlik, Bradley J. An internship with the Outback Farm: Outdoor experiential learning site. Huxley College of the Environment, Western Washington University, 2002.

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Liberty, Jesse. Learning ASP.NET 2.0 with Ajax. O'Reilly Media, 2007.

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Book chapters on the topic "Site learning"

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Johansson, Sverker, and Ylva Lindberg. "Wikipedia as a Virtual Learning Site and a Multilingual Languaging Site." In Virtual Sites as Learning Spaces. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26929-6_7.

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Hopwood, Nick. "Professional Context, Research Site and Partnership." In Professional Practice and Learning. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26164-5_2.

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Giannoulis, Georgios, Anastasia Krithara, Christos Karatsalos, and Georgios Paliouras. "Splice Site Recognition Using Transfer Learning." In Artificial Intelligence: Methods and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07064-3_27.

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Majarian, Timothy D., Ivan Cao-Berg, Xiongtao Ruan, and Robert F. Murphy. "CellOrganizer: Learning and Using Cell Geometries for Spatial Cell Simulations." In Modeling Biomolecular Site Dynamics. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9102-0_11.

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Lavetsky, Michael B. "Selecting and Establishing an Internship Site." In Experiential Learning and Internship for Undergraduates. Routledge, 2024. http://dx.doi.org/10.4324/9781003382676-2.

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Wang, Jing, Jinglin Zhou, and Xiaolu Chen. "Background." In Intelligent Control and Learning Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1_1.

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AbstractFault detection and diagnosis (FDD) technology is a scientific field emerged in the middle of the twentieth century with the rapid development of science and data technology. It manifests itself as the accurate sensing of abnormalities in the manufacturing process, or the health monitoring of equipment, sites, or machinery in a specific operating site. FDD includes abnormality monitoring, abnormal cause identification, and root cause location.
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Rajeev, Haritha, and Midhun Chakkaravarthy. "Phishing Site Prediction Using Machine Learning Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8493-8_54.

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Banerjee, Binayak, and Sumita Nainan. "Illegal Construction Site Detection Using Deep Learning." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6684-0_15.

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Nagalakshmi, G., T. Sarath, and S. Jyothi. "Land Site Image Classification Using Machine Learning Algorithms." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46939-9_19.

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Strickland, Jamie. "Experiencing Campus as a Playful Everyday Field Site Using DIY Methods." In Experiential Learning in Geography. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-82575-0_8.

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Conference papers on the topic "Site learning"

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Chaudhari, Archana, Aditya Budhwat, Sachin Chaware, and Deep Gadappa. "Phishing Site Detection Using Machine Learning." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724066.

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Lavanya., R. Rengith Kumaran, M. Ashiq, Mohan Kumar.K, and V. Vishal. "Phishing Site Detection using Machine Learning." In 2024 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2024. https://doi.org/10.1109/icscan62807.2024.10894084.

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Dong, Yi, Min Zhang, Lang Wu, and Qiuxin Wu. "Imbalanced Phosphorylation Site Prediction Based on Federated Learning." In 2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC). IEEE, 2024. https://doi.org/10.1109/icceic64099.2024.10775983.

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Goud, Perumandla Rohith, Odedara Ashish Rambhai, and Hashmat Fida. "Identifying Cross-Site Scripting Attacks Through Machine Learning." In 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech). IEEE, 2024. https://doi.org/10.1109/icacctech65084.2024.00018.

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Rabbani, Zeeshan, Seyed Ebrahim Hosseini, Shahbaz Pervez Chattha, Gasim Alandjani, Nasser Abosaq, and Mazlina Abdul Majid. "Forecasting New Mobile Site Location Suitability Using Machine Learning." In 2025 8th International Conference on Data Science and Machine Learning Applications (CDMA). IEEE, 2025. https://doi.org/10.1109/cdma61895.2025.00019.

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Tu, Binghao, and Chen Xie. "Developing an Insurance Model: Assessing Site-Specific Development Suitability." In 2024 5th International Conference on Machine Learning and Computer Application (ICMLCA). IEEE, 2024. http://dx.doi.org/10.1109/icmlca63499.2024.10753874.

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Yang, Huaizhou, Nan Ma, and Xiaohan Tong. "Protein Methylation Site Recognition Method Based on Deep Learning." In 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI). IEEE, 2024. http://dx.doi.org/10.1109/icecai62591.2024.10674801.

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Elsayed, Deyaa Khaled, Amgad Maher Abdelaziz, Zeyad Nabil Yassien, et al. "Boosting Cell Site Stability: LTE Congestion Prediction with Machine Learning and Deep Learning." In 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). IEEE, 2024. https://doi.org/10.1109/3ict64318.2024.10824526.

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Zeng, Shou-Zhen, Jia-Xing Gu, and Shyi-Ming Chen. "Optimizing Overseas Warehouse Site Selection Based on Cloud-Evidence Theory-Topsis Model." In 2024 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2024. https://doi.org/10.1109/icmlc63072.2024.10935135.

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Wei, Zhiyuan, XIaogang Huo, and Zhihui Yang. "Feature-fusion-based learning algorithm for construction site safety monitoring." In Third Asia Conference on Computer Vision, Image Processing and Pattern Recognition (CVIPPR 2025), edited by Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3076280.

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Reports on the topic "Site learning"

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry
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Mazari, Mehran, Yahaira Nava-Gonzalez, Ly Jacky Nhiayi, and Mohamad Saleh. Smart Highway Construction Site Monitoring Using Artificial Intelligence. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2336.

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Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes.
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Russell, Christina A. Centering Wellbeing: Advancing Social Emotional Learning for All. Digital Promise, 2023. http://dx.doi.org/10.51388/20.500.12265/177.

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The Working Group on Social Emotional Learning (SEL) and Learning Differences was launched in 2021 as an initiative of the Global Cities Education Network (GCEN). Fourteen school districts each worked to implement a unique action plan designed to strengthen SEL supports in their district, including for students with learning differences. Districts drew on expertise and resources shared in the working group and adapted the strategies to meet their needs. The learning centered on deep dives into two international school systems: a virtual site visit to Surrey Schools (British Columbia, Canada) a
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Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to s
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Cook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45644.

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ERDC-Geo is a surface erodibility parameterization developed to improve dust predictions in weather forecasting models. Geomorphic landform maps used in ERDC-Geo link surface dust emission potential to landform type. Using a previously generated southwest United States landform map as training data, a classification model based on machine learning (ML) was established to generate ERDC-Geo input data. To evaluate the ability of the ML model to accurately classify landforms, an independent reference landform data set was created for areas in the Chihuahuan Desert. The reference landform data set
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Gunda, Thushara, and May Cai. Foresee the Future: Using Machine Learning, Climate, and Site Characteristics to Predict PV Solar Plant Generation. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1592882.

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Gurevitz, Michael, William A. Catterall, and Dalia Gordon. Learning from Nature How to Design Anti-insect Selective Pesticides - Clarification of the Interacting Face between Insecticidal Toxins and their Na-channel Receptors. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7697101.bard.

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Structural details on the interacting faces of toxins and sodium channels (Navs), and particularly identification of elements that confer specificity for insects, are difficult to approach and require suitable experimental systems. Therefore, natural toxins capable of differential recognition of insect and mammalian Navs are valuable leads for design of selective compounds in insect control. We have characterized several scorpion toxins that vary in preference for insect and mammalian Navs, and identified residues important for their action. However, despite many efforts worldwide, only little
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Cilliers, Jacobus, Brahm Fleisch, Janeli Kotzé, Nompumelelo Mohohlwane, Stephen Taylor, and Tshegofatso Thulare. Can Virtual Replace In-person Coaching? Experimental Evidence on Teacher Professional Development and Student Learning in South Africa. Research on Improving Systems of Education (RISE), 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2020/050.

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Virtual communication holds the promise of enabling low-cost professional development at scale, but the benefits of in-person interaction might be difficult to replicate. We report on an experiment in South Africa comparing on-site with virtual coaching of public primary school teachers. After three years, on-site coaching improved students' English oral language and reading proficiency (0.31 and 0.13 SD, respectively). Virtual coaching had a smaller impact on English oral language proficiency (0.12 SD), no impact on English reading proficiency, and an unintended negative effect on home langua
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Berkhout, Emilie, Sandy Maulana, Daniel Suryadarma, Rhea Molato-Gayares, and Albert Park. Lead Exposure and Cognitive Skills in a Developing Country: Evidence from Toxic Sites in Indonesia. Asian Development Bank, 2025. https://doi.org/10.22617/wps250115-2.

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This paper gives causal evidence from a developing country context that children exposed to lead at a young age exhibit worse cognitive outcomes. The paper uses data from Indonesia on lead-contaminated sites such as recycling operations for used lead-acid batteries. It finds large negative impacts on numeracy and general cognitive ability among respondents who were exposed in utero or during early childhood and lived within 6 kilometers of a site. The learning penalty in numeracy is equivalent to about 3 years of primary schooling for those who lived within 3 kilometers of a site and 1.4 years
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Karymshakov, Kamalbek, and Dina Azhgaliyeva. Assessing the Impact of Income Decline on Household Clean Fuel Choice: Evidence from the Kyrgyz Republic. Asian Development Bank, 2025. https://doi.org/10.22617/wps250119-2.

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This paper gives causal evidence from a developing country context that children exposed to lead at a young age exhibit worse cognitive outcomes. The paper uses data from Indonesia on lead-contaminated sites such as recycling operations for used lead-acid batteries. It finds large negative impacts on numeracy and general cognitive ability among respondents who were exposed in utero or during early childhood and lived within 6 kilometers of a site. The learning penalty in numeracy is equivalent to about 3 years of primary schooling for those who lived within 3 kilometers of a site and 1.4 years
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