Gotowa bibliografia na temat „Brain-based learning theory”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Brain-based learning theory”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Brain-based learning theory"
Handayani, Baiq Sri, i A. D. Corebima. "Model brain based learning (BBL) and whole brain teaching (WBT) in learning". International Journal of Science and Applied Science: Conference Series 1, nr 2 (14.08.2017): 153. http://dx.doi.org/10.20961/ijsascs.v1i2.5142.
Pełny tekst źródłaLucas, Caro, Danial Shahmirzadi i Nima Sheikholeslami. "Introducing Belbic: Brain Emotional Learning Based Intelligent Controller". Intelligent Automation & Soft Computing 10, nr 1 (styczeń 2004): 11–21. http://dx.doi.org/10.1080/10798587.2004.10642862.
Pełny tekst źródłaSesmiarni, Zulfani. "Brain Based Teaching Model as Transformation of Learning Paradigm in Higher Education". Al-Ta lim Journal 22, nr 3 (10.12.2015): 266–75. http://dx.doi.org/10.15548/jt.v22i3.141.
Pełny tekst źródłaKovalenko, Nataliya. "Astronomy: learning theories applicable for education in planetarium environment". EPJ Web of Conferences 200 (2019): 01014. http://dx.doi.org/10.1051/epjconf/201920001014.
Pełny tekst źródłaAlGhraibeh, Ahmad Mohamed Awad. "Learning and Thinking Styles Based on Whole Brain Theory in Relation to Emotional Intelligence". OALib 02, nr 05 (2015): 1–14. http://dx.doi.org/10.4236/oalib.1101436.
Pełny tekst źródłaSesmiarni, Zulfani. "Model Brain Based Teaching Sebagai Transformasi Paradigma Pembelajaran di Perguruan Tinggi". Tadris: Jurnal Keguruan dan Ilmu Tarbiyah 1, nr 2 (19.12.2016): 93. http://dx.doi.org/10.24042/tadris.v1i2.1059.
Pełny tekst źródłaFitch, W. Tecumseh, i Angela D. Friederici. "Artificial grammar learning meets formal language theory: an overview". Philosophical Transactions of the Royal Society B: Biological Sciences 367, nr 1598 (19.07.2012): 1933–55. http://dx.doi.org/10.1098/rstb.2012.0103.
Pełny tekst źródłaLakoff, George. "The role of the brain in the metaphorical mathematical cognition". Behavioral and Brain Sciences 31, nr 6 (grudzień 2008): 658–59. http://dx.doi.org/10.1017/s0140525x08005748.
Pełny tekst źródłaCao, Benchun, Yanchun Liang, Shinichi Yoshida i Renchu Guan. "Facial Expression Decoding based on fMRI Brain Signal". International Journal of Computers Communications & Control 14, nr 4 (5.08.2019): 475–88. http://dx.doi.org/10.15837/ijccc.2019.4.3433.
Pełny tekst źródłaMiller, Raissa. "Neuroeducation: Integrating Brain-Based Psychoeducation into Clinical Practice". Journal of Mental Health Counseling 38, nr 2 (1.04.2016): 103–15. http://dx.doi.org/10.17744/mehc.38.2.02.
Pełny tekst źródłaRozprawy doktorskie na temat "Brain-based learning theory"
Laflamme, Denise Marie. "The brain-based theory of learning and multimedia". CSUSB ScholarWorks, 1994. https://scholarworks.lib.csusb.edu/etd-project/1002.
Pełny tekst źródłaPennington, Eva Patrice. "Brain-based learning theory the incorporation of movement to increase learning /". Lynchburg, Va. : Liberty University, 2010. http://digitalcommons.liberty.edu.
Pełny tekst źródłaTompkins, Abreena Walker. "Brain-based learning theory an online course design model /". Lynchburg, Va. : Liberty University, 2007. http://digitalcommons.liberty.edu.
Pełny tekst źródłaSchmitt, Ara J. Swerdlik Mark E. Wodrich David L. "The ability of theory based assessment to discriminate among children with brain impairments". Normal, Ill. Illinois State University, 2001. http://wwwlib.umi.com/cr/ilstu/fullcit?p3064501.
Pełny tekst źródłaTitle from title page screen, viewed March 14, 2006. Dissertation Committee: Mark E. Swerdlik (chair), David L. Wodrich (co-chair), Valeri Farmer-Dougan, Alvin House. Includes bibliographical references (leaves [106]-117) and abstract. Also available in print.
Castro, R. Raquel. "From Theory to Practice: A First Look at Success for Life - A Brain Research-Based Early Childhood Program". Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc6153/.
Pełny tekst źródłaWhite, Dan, i res cand@acu edu au. "Pedagogy – The Missing Link in Religious Education: Implications of brain-based learning theory for the development of a pedagogical framework for religious education". Australian Catholic University. School of Religious Education, 2004. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp60.29082005.
Pełny tekst źródłaCankaya, Tumer Tugce. "Using Literature To Enhance Language And Cultural Awareness". Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611953/index.pdf.
Pełny tekst źródłafrom primary to college level &ndash
and teacher trainers have all agreed with the idea that it is impossible to consider language skills as independent from each other since each of them has a great contribution to the language itself as a whole system. However
it cannot be ignored that all language teachers have also agreed with the idea that reading is a skill that has its own significance, especially in foreign language education. What makes reading so unique is that it can be considered to be the door that is about to be opening to a new world in which the target language is spoken. In that sense, as an essential skill, reading, throughout the centuries, has also had its own keys that have been difficult to be unlocked even by the native speakers of English. This matter of fact brings the question to the light that what guardians are waiting in front of this castle door especially for foreign language students. Although many scholars claim that formal aspect of language, including syntactical and lexical features, stand as great challenge, they ignore the cultural significance of a language. The relationship between language, thought and culture shows that even formal aspects are affected by culture. This fact brings the importance of &lsquo
content schema&rsquo
as well as &lsquo
formal schema&rsquo
in reading to surface. However, now the question is that how it is possible to provide students with sufficient cultural background. As foreign language students are less likely to experience exposure to foreign culture when compared to second language learners, there is an urgent need to create a &lsquo
social context&rsquo
or &lsquo
second hand reality&rsquo
in Kovalik&rsquo
s terms in classroom settings. At this point, literature is believed to give her helping hand to FL students with her wide range of texts carrying a variety of formal aspect of language, but at the same time, a range of cultural components, and thus, constructing &lsquo
schema&rsquo
for them. Apart from this, what literature offers is examined in detail within the framework of brain-based learning principles. This paper tends to contribute to this controversial issue with a case study, which aims to illustrate that the use of literature in FL settings enhance language/cultural awareness. The result of the study showed that 1) literature is a useful source to teach the formal aspects of language such as grammar and vocabulary (language awareness) 2) literature contributes to students&rsquo
cultural awareness which is essential to have language awareness 3) literature is a brain-compatible source with various advantages over the other written materials. In accordance with what is mentioned above, this study has a direct aim to show how ELT and Literature can intrude the ancient walls of this castle when work interdisciplinary.
Tsividis, Pedro A. "Theory-based learning in humans and machines". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121813.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 123-130).
Humans are remarkable in their ability to rapidly learn complex tasks from little experience. Recent successes in Al have produced algorithms that can perform complex tasks well in environments whose simple dynamics are known in advance, as well as models that can learn to perform expertly in unknown environments after a great amount of experience. Despite this, no current AI models are able to learn sufficiently rich and general representations so as to support rapid, human-level learning on new, complex, tasks. This thesis examines some of the epistemic practices, representations, and algorithms that we believe underlie humans' ability to quickly learn about their world and to deploy that understanding to achieve their aims. In particular, the thesis examines humans' ability to effectively query their environment for information that helps distinguish between competing hypotheses (Chapter 2); children's ability to use higher-level amodal features of data to match causes and effects (Chapter 3); and adult human rapid-learning abilities in artificial video-game environments (Chapter 4). The thesis culminates by presenting and testing a model, inspired by human inductive biases and epistemic practices, that learns to perform complex video-game tasks at human levels with human-level amounts of experience (Chapter 5). The model is an instantiation of a more general approach, Theory-Based Reinforcement Learning, which we believe can underlie the development of human-level agents that may eventually learn and act adaptively in the real world.
by Pedro A. Tsividis.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences
Książki na temat "Brain-based learning theory"
Darling-Kuria, Nikki. Brain-based early learning activities: Connecting theory and practice. St. Paul, MN: Redleaf Press, 2010.
Znajdź pełny tekst źródłaBrain-based early learning activities: Connecting theory and practice. St. Paul, MN: Redleaf Press, 2010.
Znajdź pełny tekst źródłaAnderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0012.
Pełny tekst źródłaRainville, Pierre. A signature of pain in the brain. Redaktorzy Paul Farquhar-Smith, Pierre Beaulieu i Sian Jagger. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198834359.003.0029.
Pełny tekst źródłaBrowning, Birch P. How Students Learn. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199928200.003.0006.
Pełny tekst źródłaRauch, Sheila A. M., i Israel Liberzon. Mechanisms of Action in Psychotherapy. Redaktorzy Israel Liberzon i Kerry J. Ressler. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190215422.003.0019.
Pełny tekst źródłaVieira, Kate. Writing for Love and Money. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190877316.001.0001.
Pełny tekst źródłaRosenberg, Paul B. Treatment of Cognitive Impairment. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199959549.003.0007.
Pełny tekst źródłaLeibo, Joel Z., i Tomaso Poggio. Perception. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0025.
Pełny tekst źródłaButz, Martin V., i Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.
Pełny tekst źródłaCzęści książek na temat "Brain-based learning theory"
Zhang, Yuduo, Zhichao Lian i Chanying Huang. "A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification". W Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 325–34. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36204-1_27.
Pełny tekst źródłaAlidoust, Mohammadreza. "AGI Brain: A Learning and Decision Making Framework for Artificial General Intelligence Systems Based on Modern Control Theory". W Artificial General Intelligence, 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27005-6_1.
Pełny tekst źródłaBehuet, Sabrina, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan Evans i Katrin Amunts. "A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses". W Lecture Notes in Computer Science, 3–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_1.
Pełny tekst źródłaBrandstetter, Andrea, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg i Katrin Amunts. "Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain". W Lecture Notes in Computer Science, 22–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_2.
Pełny tekst źródłaLee, Daeyeol. "Brain for Learning". W Birth of Intelligence, 127–54. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190908324.003.0007.
Pełny tekst źródła"Deep Learning Theory and Software". W Advances in Computer and Electrical Engineering, 23–61. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1554-9.ch002.
Pełny tekst źródłaBastedo, Kathleen, i Jessica Vargas. "Universal Design for Learning in Today’s Diverse Educational Environments". W Assistive Technology Research, Practice, and Theory, 1–10. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5015-2.ch001.
Pełny tekst źródłaAliustaoğlu, Feyza, i Abdulkadir Tuna. "Brain-Based Learning". W Handbook of Research on Innovations in Non-Traditional Educational Practices, 361–78. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4360-3.ch019.
Pełny tekst źródłaPitoglou, Stavros. "Machine Learning in Healthcare". W Quality Assurance in the Era of Individualized Medicine, 92–109. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2390-2.ch004.
Pełny tekst źródłaCurry, Marjorie. "Culturally Responsive Math". W Theory and Practice: An Interface or A Great Divide?, 115–17. WTM-Verlag Münster, 2019. http://dx.doi.org/10.37626/ga9783959871129.0.23.
Pełny tekst źródłaStreszczenia konferencji na temat "Brain-based learning theory"
Rusák, Zoltán, Niels van de Water, Bram de Smit, Imre Horváth i Wilhelm Frederik Van Der Vegte. "Smart Reading Aid for Detecting Problems With Reading Fluency and Comprehension". W ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59130.
Pełny tekst źródłaNayef, B. H., S. Sahran, R. I. Hussain i S. N. H. S. Abdullah. "Brain imaging classification based On Learning Vector Quantization". W 2013 1st International Conference on Communications, Signal Processing, and Their Applications (ICCSPA). IEEE, 2013. http://dx.doi.org/10.1109/iccspa.2013.6487253.
Pełny tekst źródłaMatsuno, Kevin, i Vidya K. Nandikolla. "Machine Learning Using Brain Computer Interface System". W ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23394.
Pełny tekst źródłaVilas-Boas, Vitor Mendes, Vitor Da Silva Jorge i Cleison Daniel Silva. "Towards ideal time window for classifying motor imagery in brain-computer interfaces". W Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11961.
Pełny tekst źródłaMalhotra, Radhika, Jasleen Saini, Barjinder Singh Saini i Savita Gupta. "Improving Brain Tumor Segmentation with Data Augmentation Strategies". W International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.2.
Pełny tekst źródłaGomez, Connie, i Sheema Nasir. "Problem Based Learning: Generating a 3D Educational Brain Model to Engage Undergraduate Engineering Honors Students". W ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87197.
Pełny tekst źródłaDinparastdjadid, Azadeh, i Ehsan T. Esfahani. "Spike Sorting via Multi Cluster Feature Selection". W ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60456.
Pełny tekst źródłaLi, Chao, Baolin Liu i Jianguo Wei. "Visual Encoding and Decoding of the Human Brain Based on Shared Features". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/103.
Pełny tekst źródłaXu, Mingkun, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li i Jing Pei. "Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/441.
Pełny tekst źródłaEnikov, Eniko T., Juan-Antonio Escareno i Micky Rakotondrabe. "Image Schema Based Landing and Navigation for Rotorcraft MAV-s". W ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51450.
Pełny tekst źródła