Journal articles on the topic 'Brain-based learning theory'
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Handayani, Baiq Sri, and 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, no. 2 (August 14, 2017): 153. http://dx.doi.org/10.20961/ijsascs.v1i2.5142.
Full textLucas, Caro, Danial Shahmirzadi, and Nima Sheikholeslami. "Introducing Belbic: Brain Emotional Learning Based Intelligent Controller." Intelligent Automation & Soft Computing 10, no. 1 (January 2004): 11–21. http://dx.doi.org/10.1080/10798587.2004.10642862.
Full textSesmiarni, Zulfani. "Brain Based Teaching Model as Transformation of Learning Paradigm in Higher Education." Al-Ta lim Journal 22, no. 3 (December 10, 2015): 266–75. http://dx.doi.org/10.15548/jt.v22i3.141.
Full textKovalenko, 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.
Full textAlGhraibeh, Ahmad Mohamed Awad. "Learning and Thinking Styles Based on Whole Brain Theory in Relation to Emotional Intelligence." OALib 02, no. 05 (2015): 1–14. http://dx.doi.org/10.4236/oalib.1101436.
Full textSesmiarni, Zulfani. "Model Brain Based Teaching Sebagai Transformasi Paradigma Pembelajaran di Perguruan Tinggi." Tadris: Jurnal Keguruan dan Ilmu Tarbiyah 1, no. 2 (December 19, 2016): 93. http://dx.doi.org/10.24042/tadris.v1i2.1059.
Full textFitch, W. Tecumseh, and Angela D. Friederici. "Artificial grammar learning meets formal language theory: an overview." Philosophical Transactions of the Royal Society B: Biological Sciences 367, no. 1598 (July 19, 2012): 1933–55. http://dx.doi.org/10.1098/rstb.2012.0103.
Full textLakoff, George. "The role of the brain in the metaphorical mathematical cognition." Behavioral and Brain Sciences 31, no. 6 (December 2008): 658–59. http://dx.doi.org/10.1017/s0140525x08005748.
Full textCao, Benchun, Yanchun Liang, Shinichi Yoshida, and Renchu Guan. "Facial Expression Decoding based on fMRI Brain Signal." International Journal of Computers Communications & Control 14, no. 4 (August 5, 2019): 475–88. http://dx.doi.org/10.15837/ijccc.2019.4.3433.
Full textMiller, Raissa. "Neuroeducation: Integrating Brain-Based Psychoeducation into Clinical Practice." Journal of Mental Health Counseling 38, no. 2 (April 1, 2016): 103–15. http://dx.doi.org/10.17744/mehc.38.2.02.
Full textLi, Di, and Xiangjian Chen. "Emotion Recognition Based on Type-2 Recurrent Wavelet Fuzzy Brain Emotion Learning Network Model." Mathematical Problems in Engineering 2021 (August 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/9991531.
Full textNaidu, D. J. Samatha, and 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, no. 8 (August 30, 2021): 36–40. http://dx.doi.org/10.47760/ijcsmc.2021.v10i08.006.
Full textWENG, JUYANG. "DEVELOPMENTAL ROBOTICS: THEORY AND EXPERIMENTS." International Journal of Humanoid Robotics 01, no. 02 (June 2004): 199–236. http://dx.doi.org/10.1142/s0219843604000149.
Full textHamdan AL-onizat, Sabah Hasan, and 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, no. 11 (October 3, 2019): 1. http://dx.doi.org/10.5539/mas.v13n11p1.
Full textEt. 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, no. 2 (April 10, 2021): 987–98. http://dx.doi.org/10.17762/turcomat.v12i2.1111.
Full textMason, Jonathan. "From Learning to Consciousness: An Example Using Expected Float Entropy Minimisation." Entropy 21, no. 1 (January 13, 2019): 60. http://dx.doi.org/10.3390/e21010060.
Full textMeeker, Mary. "Brain Research: the Necessity for Separating Sites, Actions and Functions." Gifted Education International 5, no. 3 (September 1988): 148–54. http://dx.doi.org/10.1177/026142948800500305.
Full textEt. al., Nisha Joseph,. "Study on Evaluation of Machine Learning Approaches in Brain Tumour MR Images." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 1361–71. http://dx.doi.org/10.17762/turcomat.v12i5.2028.
Full textPERLOVSKY, LEONID, and ROSS DEMING. "A MATHEMATICAL THEORY FOR LEARNING, AND ITS APPLICATION TO TIME-VARYING COMPUTED TOMOGRAPHY." New Mathematics and Natural Computation 01, no. 01 (March 2005): 147–71. http://dx.doi.org/10.1142/s1793005705000081.
Full textSulaila, Neneng. "آراء النظرية البنائية في تعلّم اللغة الثانية والاستفادة منها في تعليم اللغة العربية لغير الناطقين بها." Rayah Al-Islam 2, no. 01 (April 28, 2018): 12–22. http://dx.doi.org/10.37274/rais.v2i01.28.
Full textLin, Ya-Wei, and Oleg Bazaluk. "Using Brain Science Theory to Analyze the Unity between Language Input and Output: Methodology Improvement Substantiation." PSYCHOLINGUISTICS 27, no. 1 (April 16, 2020): 195–218. http://dx.doi.org/10.31470/2309-1797-2020-27-1-195-218.
Full textSousa, Regina, Tiago Lima, António Abelha, and José Machado. "Hierarchical Temporal Memory Theory Approach to Stock Market Time Series Forecasting." Electronics 10, no. 14 (July 8, 2021): 1630. http://dx.doi.org/10.3390/electronics10141630.
Full textMisra, Joyneel, Srinivas Govinda Surampudi, Manasij Venkatesh, Chirag Limbachia, Joseph Jaja, and Luiz Pessoa. "Learning brain dynamics for decoding and predicting individual differences." PLOS Computational Biology 17, no. 9 (September 3, 2021): e1008943. http://dx.doi.org/10.1371/journal.pcbi.1008943.
Full textLuo, Dali. "Guide Teaching System Based on Artificial Intelligence." International Journal of Emerging Technologies in Learning (iJET) 13, no. 08 (August 30, 2018): 90. http://dx.doi.org/10.3991/ijet.v13i08.9058.
Full textKim, Yong-Seong, Hag-Jun Lee, Jae-Bun Oh, and 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, no. 2 (June 30, 2019): 391–425. http://dx.doi.org/10.19049/jsped.2019.20.2.16.
Full textSato, João Ricardo, Claudinei Eduardo Biazoli, Giovanni Abrahão Salum, Ary Gadelha, Nicolas Crossley, Gilson Vieira, André Zugman, et al. "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, no. 2 (February 8, 2017): 119–29. http://dx.doi.org/10.1080/15622975.2016.1274050.
Full textvan 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.
Full textDong, He, and Sang-Bing Tsai. "An Empirical Study on Application of Machine Learning and Neural Network in English Learning." Mathematical Problems in Engineering 2021 (July 22, 2021): 1–9. http://dx.doi.org/10.1155/2021/8444858.
Full textGórriz, Juan M., Javier Ramírez, F. Segovia, Francisco J. Martínez, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen, and John Suckling. "A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms." International Journal of Neural Systems 29, no. 07 (August 6, 2019): 1850058. http://dx.doi.org/10.1142/s0129065718500582.
Full textKhacef, Lyes, Laurent Rodriguez, and Benoît Miramond. "Brain-Inspired Self-Organization with Cellular Neuromorphic Computing for Multimodal Unsupervised Learning." Electronics 9, no. 10 (October 1, 2020): 1605. http://dx.doi.org/10.3390/electronics9101605.
Full textSolovieva, Yulia, and Luis Quintanar. "Psychological Concepts of Activity Theory in Child Neuropsychology." Journal of Education and Culture Studies 1, no. 1 (April 5, 2017): 25. http://dx.doi.org/10.22158/jecs.v1n1p25.
Full textHan, Kun, Dewei Wu, and Lei Lai. "A Brain-Inspired Adaptive Space Representation Model Based on Grid Cells and Place Cells." Computational Intelligence and Neuroscience 2020 (August 11, 2020): 1–12. http://dx.doi.org/10.1155/2020/1492429.
Full textMastin, Marla. "Storytelling + Origami = Storigami Mathematics." Teaching Children Mathematics 14, no. 4 (November 2007): 206–12. http://dx.doi.org/10.5951/tcm.14.4.0206.
Full textZhang, Zhewei, Huzi Cheng, and Tianming Yang. "A recurrent neural network framework for flexible and adaptive decision making based on sequence learning." PLOS Computational Biology 16, no. 11 (November 3, 2020): e1008342. http://dx.doi.org/10.1371/journal.pcbi.1008342.
Full textLi, Hongmei, Di Li, Xiangjian Chen, and 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 (January 15, 2021): 1–15. http://dx.doi.org/10.1155/2021/8892290.
Full textMajidov, Ikhtiyor, and Taegkeun Whangbo. "Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods." Sensors 19, no. 7 (April 11, 2019): 1736. http://dx.doi.org/10.3390/s19071736.
Full textDrugowitsch, Jan, André G. Mendonça, Zachary F. Mainen, and Alexandre Pouget. "Learning optimal decisions with confidence." Proceedings of the National Academy of Sciences 116, no. 49 (November 15, 2019): 24872–80. http://dx.doi.org/10.1073/pnas.1906787116.
Full textBackman, Ylva, Viktor Gardelli, and 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, no. 03 (February 12, 2021): 190. http://dx.doi.org/10.3991/ijet.v16i03.17889.
Full textEt. 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, no. 5 (April 10, 2021): 1736–43. http://dx.doi.org/10.17762/turcomat.v12i5.2171.
Full textAgustina, Widya, and Lilies Youlia Friatin. "STUDENTS’ VOICE: APPLYING BRAIN-WRITING IN WRITING RECOUNT TEXT." Jurnal Wahana Pendidikan 6, no. 2 (December 6, 2019): 9. http://dx.doi.org/10.25157/wa.v6i2.2967.
Full textJoo, 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 (February 28, 2016): 21–58. http://dx.doi.org/10.17999/sohe.2016.58.02.
Full textLiu, Huaping, Di Guo, Fuchun Sun, Wuqiang Yang, Steve Furber, and Tengchen Sun. "Embodied tactile perception and learning." Brain Science Advances 6, no. 2 (June 2020): 132–58. http://dx.doi.org/10.26599/bsa.2020.9050012.
Full textQiao, Chen, Lujia Lu, Lan Yang, and Paul J. Kennedy. "Identifying Brain Abnormalities with Schizophrenia Based on a Hybrid Feature Selection Technology." Applied Sciences 9, no. 10 (May 26, 2019): 2148. http://dx.doi.org/10.3390/app9102148.
Full textPrakash, Bhargav, Gautam Kumar Baboo, and Veeky Baths. "A Novel Approach to Learning Models on EEG Data Using Graph Theory Features—A Comparative Study." Big Data and Cognitive Computing 5, no. 3 (August 28, 2021): 39. http://dx.doi.org/10.3390/bdcc5030039.
Full textOwnsworth, Tamara. "To Err is Human; to Self-Regulate After Brain Injury, Divine." Brain Impairment 16, no. 3 (November 25, 2015): 236–42. http://dx.doi.org/10.1017/brimp.2015.26.
Full textField, Duncan, Yanis Ammouche, José-Maria Peña, and Antoine Jérusalem. "Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter." Computational Mechanics 67, no. 6 (April 28, 2021): 1629–43. http://dx.doi.org/10.1007/s00466-021-02009-1.
Full textKawakubo, Hideko, Yusuke Matsui, Itaru Kushima, Norio Ozaki, and Teppei Shimamura. "A network of networks approach for modeling interconnected brain tissue-specific networks." Bioinformatics 35, no. 17 (January 15, 2019): 3092–101. http://dx.doi.org/10.1093/bioinformatics/btz032.
Full textMoldwin, Toviah, Odelia Schwartz, and Elyse S. Sussman. "Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong Notes." Journal of Cognitive Neuroscience 29, no. 12 (December 2017): 2114–22. http://dx.doi.org/10.1162/jocn_a_01181.
Full textMathias, Brian, Leona Sureth, Gesa Hartwigsen, Manuela Macedonia, Katja M. Mayer, and Katharina von Kriegstein. "Visual Sensory Cortices Causally Contribute to Auditory Word Recognition Following Sensorimotor-Enriched Vocabulary Training." Cerebral Cortex 31, no. 1 (September 22, 2020): 513–28. http://dx.doi.org/10.1093/cercor/bhaa240.
Full textCazé, Romain, Mehdi Khamassi, Lise Aubin, and Benoît Girard. "Hippocampal replays under the scrutiny of reinforcement learning models." Journal of Neurophysiology 120, no. 6 (December 1, 2018): 2877–96. http://dx.doi.org/10.1152/jn.00145.2018.
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