Artykuły w czasopismach na temat „Brain-based learning theory”
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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 źródłaLi, Di, i Xiangjian Chen. "Emotion Recognition Based on Type-2 Recurrent Wavelet Fuzzy Brain Emotion Learning Network Model". Mathematical Problems in Engineering 2021 (7.08.2021): 1–11. http://dx.doi.org/10.1155/2021/9991531.
Pełny tekst źródłaNaidu, D. J. Samatha, i G. Anand Kumar Reddy. "EARLIER DETECTION OF ALZHEIMER’S DISEASE USING IMAGE PROCESSING AND MACHINE LEARNING ALGORITHMS WITH GRAPH THEORY". International Journal of Computer Science and Mobile Computing 10, nr 8 (30.08.2021): 36–40. http://dx.doi.org/10.47760/ijcsmc.2021.v10i08.006.
Pełny tekst źródłaWENG, JUYANG. "DEVELOPMENTAL ROBOTICS: THEORY AND EXPERIMENTS". International Journal of Humanoid Robotics 01, nr 02 (czerwiec 2004): 199–236. http://dx.doi.org/10.1142/s0219843604000149.
Pełny tekst źródłaHamdan AL-onizat, Sabah Hasan, i Yahya Hussain Othman AL-Qatawneh. "The Effectiveness of an Educational Program Built on the Brain-Based Learning Theory in Improving Mathematical Skills and Motivation for Learning among Student with Learning Disabilities in Jordan". Modern Applied Science 13, nr 11 (3.10.2019): 1. http://dx.doi.org/10.5539/mas.v13n11p1.
Pełny tekst źródłaEt. al., R. Aruna Kirithika,. "An Efficient ensemble of Brain Tumour Segmentation and Classification using Machine Learning and Deep Learning based Inception Networks". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, nr 2 (10.04.2021): 987–98. http://dx.doi.org/10.17762/turcomat.v12i2.1111.
Pełny tekst źródłaMason, Jonathan. "From Learning to Consciousness: An Example Using Expected Float Entropy Minimisation". Entropy 21, nr 1 (13.01.2019): 60. http://dx.doi.org/10.3390/e21010060.
Pełny tekst źródłaMeeker, Mary. "Brain Research: the Necessity for Separating Sites, Actions and Functions". Gifted Education International 5, nr 3 (wrzesień 1988): 148–54. http://dx.doi.org/10.1177/026142948800500305.
Pełny tekst źródłaEt. al., Nisha Joseph,. "Study on Evaluation of Machine Learning Approaches in Brain Tumour MR Images". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, nr 5 (11.04.2021): 1361–71. http://dx.doi.org/10.17762/turcomat.v12i5.2028.
Pełny tekst źródłaPERLOVSKY, LEONID, i ROSS DEMING. "A MATHEMATICAL THEORY FOR LEARNING, AND ITS APPLICATION TO TIME-VARYING COMPUTED TOMOGRAPHY". New Mathematics and Natural Computation 01, nr 01 (marzec 2005): 147–71. http://dx.doi.org/10.1142/s1793005705000081.
Pełny tekst źródłaSulaila, Neneng. "آراء النظرية البنائية في تعلّم اللغة الثانية والاستفادة منها في تعليم اللغة العربية لغير الناطقين بها". Rayah Al-Islam 2, nr 01 (28.04.2018): 12–22. http://dx.doi.org/10.37274/rais.v2i01.28.
Pełny tekst źródłaLin, Ya-Wei, i Oleg Bazaluk. "Using Brain Science Theory to Analyze the Unity between Language Input and Output: Methodology Improvement Substantiation". PSYCHOLINGUISTICS 27, nr 1 (16.04.2020): 195–218. http://dx.doi.org/10.31470/2309-1797-2020-27-1-195-218.
Pełny tekst źródłaSousa, Regina, Tiago Lima, António Abelha i José Machado. "Hierarchical Temporal Memory Theory Approach to Stock Market Time Series Forecasting". Electronics 10, nr 14 (8.07.2021): 1630. http://dx.doi.org/10.3390/electronics10141630.
Pełny tekst źródłaMisra, Joyneel, Srinivas Govinda Surampudi, Manasij Venkatesh, Chirag Limbachia, Joseph Jaja i Luiz Pessoa. "Learning brain dynamics for decoding and predicting individual differences". PLOS Computational Biology 17, nr 9 (3.09.2021): e1008943. http://dx.doi.org/10.1371/journal.pcbi.1008943.
Pełny tekst źródłaLuo, Dali. "Guide Teaching System Based on Artificial Intelligence". International Journal of Emerging Technologies in Learning (iJET) 13, nr 08 (30.08.2018): 90. http://dx.doi.org/10.3991/ijet.v13i08.9058.
Pełny tekst źródłaKim, Yong-Seong, Hag-Jun Lee, Jae-Bun Oh i Jeong-Ha Yoon. "An Exploration of Principle of Representation and Instruction Strategies in Universal Design for Learning based on Brain Science Theory". Journal of special education : theory and practice 20, nr 2 (30.06.2019): 391–425. http://dx.doi.org/10.19049/jsped.2019.20.2.16.
Pełny tekst źródłaSato, João Ricardo, Claudinei Eduardo Biazoli, Giovanni Abrahão Salum, Ary Gadelha, Nicolas Crossley, Gilson Vieira, André Zugman i in. "Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning". World Journal of Biological Psychiatry 19, nr 2 (8.02.2017): 119–29. http://dx.doi.org/10.1080/15622975.2016.1274050.
Pełny tekst źródłavan de Water, Manon. "Drama in education: why drama is necessary". SHS Web of Conferences 98 (2021): 02009. http://dx.doi.org/10.1051/shsconf/20219802009.
Pełny tekst źródłaDong, He, i Sang-Bing Tsai. "An Empirical Study on Application of Machine Learning and Neural Network in English Learning". Mathematical Problems in Engineering 2021 (22.07.2021): 1–9. http://dx.doi.org/10.1155/2021/8444858.
Pełny tekst źródłaGórriz, Juan M., Javier Ramírez, F. Segovia, Francisco J. Martínez, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen i John Suckling. "A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms". International Journal of Neural Systems 29, nr 07 (6.08.2019): 1850058. http://dx.doi.org/10.1142/s0129065718500582.
Pełny tekst źródłaKhacef, Lyes, Laurent Rodriguez i Benoît Miramond. "Brain-Inspired Self-Organization with Cellular Neuromorphic Computing for Multimodal Unsupervised Learning". Electronics 9, nr 10 (1.10.2020): 1605. http://dx.doi.org/10.3390/electronics9101605.
Pełny tekst źródłaSolovieva, Yulia, i Luis Quintanar. "Psychological Concepts of Activity Theory in Child Neuropsychology". Journal of Education and Culture Studies 1, nr 1 (5.04.2017): 25. http://dx.doi.org/10.22158/jecs.v1n1p25.
Pełny tekst źródłaHan, Kun, Dewei Wu i Lei Lai. "A Brain-Inspired Adaptive Space Representation Model Based on Grid Cells and Place Cells". Computational Intelligence and Neuroscience 2020 (11.08.2020): 1–12. http://dx.doi.org/10.1155/2020/1492429.
Pełny tekst źródłaMastin, Marla. "Storytelling + Origami = Storigami Mathematics". Teaching Children Mathematics 14, nr 4 (listopad 2007): 206–12. http://dx.doi.org/10.5951/tcm.14.4.0206.
Pełny tekst źródłaZhang, Zhewei, Huzi Cheng i Tianming Yang. "A recurrent neural network framework for flexible and adaptive decision making based on sequence learning". PLOS Computational Biology 16, nr 11 (3.11.2020): e1008342. http://dx.doi.org/10.1371/journal.pcbi.1008342.
Pełny tekst źródłaLi, Hongmei, Di Li, Xiangjian Chen i Zhongqiang Pan. "Data-Driven Control Based on the Interval Type-2 Intuition Fuzzy Brain Emotional Learning Network for the Multiple Degree-of-Freedom Rehabilitation Robot". Mathematical Problems in Engineering 2021 (15.01.2021): 1–15. http://dx.doi.org/10.1155/2021/8892290.
Pełny tekst źródłaMajidov, Ikhtiyor, i Taegkeun Whangbo. "Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods". Sensors 19, nr 7 (11.04.2019): 1736. http://dx.doi.org/10.3390/s19071736.
Pełny tekst źródłaDrugowitsch, Jan, André G. Mendonça, Zachary F. Mainen i Alexandre Pouget. "Learning optimal decisions with confidence". Proceedings of the National Academy of Sciences 116, nr 49 (15.11.2019): 24872–80. http://dx.doi.org/10.1073/pnas.1906787116.
Pełny tekst źródłaBackman, Ylva, Viktor Gardelli i Peter Parnes. "Game Technologies to Assist Learning of Communication Skills in Dialogic Settings for Persons with Aphasia". International Journal of Emerging Technologies in Learning (iJET) 16, nr 03 (12.02.2021): 190. http://dx.doi.org/10.3991/ijet.v16i03.17889.
Pełny tekst źródłaEt. al., Nur Nabilah Abu Mangshor,. "Analysison Students’ Learning Habits: Identifyingthe Contributory Factorsof Learning Duringthe Covid-19 PandemicUsing Radial Basis Function (RBF)". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, nr 5 (10.04.2021): 1736–43. http://dx.doi.org/10.17762/turcomat.v12i5.2171.
Pełny tekst źródłaAgustina, Widya, i Lilies Youlia Friatin. "STUDENTS’ VOICE: APPLYING BRAIN-WRITING IN WRITING RECOUNT TEXT". Jurnal Wahana Pendidikan 6, nr 2 (6.12.2019): 9. http://dx.doi.org/10.25157/wa.v6i2.2967.
Pełny tekst źródłaJoo, Woong-young. "The Characteristics of History lesson in the Elementary social studies classroom -An approach in perspective of a Brain-based learning theory-". Society of History Education 58 (28.02.2016): 21–58. http://dx.doi.org/10.17999/sohe.2016.58.02.
Pełny tekst źródłaLiu, Huaping, Di Guo, Fuchun Sun, Wuqiang Yang, Steve Furber i Tengchen Sun. "Embodied tactile perception and learning". Brain Science Advances 6, nr 2 (czerwiec 2020): 132–58. http://dx.doi.org/10.26599/bsa.2020.9050012.
Pełny tekst źródłaQiao, Chen, Lujia Lu, Lan Yang i Paul J. Kennedy. "Identifying Brain Abnormalities with Schizophrenia Based on a Hybrid Feature Selection Technology". Applied Sciences 9, nr 10 (26.05.2019): 2148. http://dx.doi.org/10.3390/app9102148.
Pełny tekst źródłaPrakash, Bhargav, Gautam Kumar Baboo i Veeky Baths. "A Novel Approach to Learning Models on EEG Data Using Graph Theory Features—A Comparative Study". Big Data and Cognitive Computing 5, nr 3 (28.08.2021): 39. http://dx.doi.org/10.3390/bdcc5030039.
Pełny tekst źródłaOwnsworth, Tamara. "To Err is Human; to Self-Regulate After Brain Injury, Divine". Brain Impairment 16, nr 3 (25.11.2015): 236–42. http://dx.doi.org/10.1017/brimp.2015.26.
Pełny tekst źródłaField, Duncan, Yanis Ammouche, José-Maria Peña i Antoine Jérusalem. "Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter". Computational Mechanics 67, nr 6 (28.04.2021): 1629–43. http://dx.doi.org/10.1007/s00466-021-02009-1.
Pełny tekst źródłaKawakubo, Hideko, Yusuke Matsui, Itaru Kushima, Norio Ozaki i Teppei Shimamura. "A network of networks approach for modeling interconnected brain tissue-specific networks". Bioinformatics 35, nr 17 (15.01.2019): 3092–101. http://dx.doi.org/10.1093/bioinformatics/btz032.
Pełny tekst źródłaMoldwin, Toviah, Odelia Schwartz i Elyse S. Sussman. "Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong Notes". Journal of Cognitive Neuroscience 29, nr 12 (grudzień 2017): 2114–22. http://dx.doi.org/10.1162/jocn_a_01181.
Pełny tekst źródłaMathias, Brian, Leona Sureth, Gesa Hartwigsen, Manuela Macedonia, Katja M. Mayer i Katharina von Kriegstein. "Visual Sensory Cortices Causally Contribute to Auditory Word Recognition Following Sensorimotor-Enriched Vocabulary Training". Cerebral Cortex 31, nr 1 (22.09.2020): 513–28. http://dx.doi.org/10.1093/cercor/bhaa240.
Pełny tekst źródłaCazé, Romain, Mehdi Khamassi, Lise Aubin i Benoît Girard. "Hippocampal replays under the scrutiny of reinforcement learning models". Journal of Neurophysiology 120, nr 6 (1.12.2018): 2877–96. http://dx.doi.org/10.1152/jn.00145.2018.
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