From a Computer Teaching System Perspective: Teaching Strategies and Educational Economics in the Neuroscience of Genetic Algorithms and Annealing Algorithms and Biology
Abstract
The three main research methods of machine learning are difficult to enter, difficult to penetrate, difficult to apply and difficult to fall. Computeric pedagogy needs to clear the hurdles for academics in various disciplines, and bio-engineered computer teaching systems need to make breakthroughs based on advances in biology. We used computer teaching techniques to design teaching points in neuroscience. The authors report and analyze the results of this study.
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Gurung, Regan AR, and Beth M. Schwartz. Optimizing teaching and learning: Practicing pedagogical research. John Wiley & Sons, 2011.
Castle Kathryn. "Autonomy through pedagogical research. " Teaching and teacher education 22. 8 (2006): 1094-1103.
Reid, Norman. Getting started in pedagogical research in the physical sciences. LTSN Physical Sciences Centre, 2003.
Aminov, Takhir Majitovich. "The structure and logic of the pedagogical process as the basis of the conception of historical and actual pedagogical research. " Life Science Journal 11. 11 (2014): 544-547.
Daniel, David B. , and Debra A. Poole. "Learning for life: An ecological approach to pedagogical research. " Perspectives on Psychological Science 4. 1 (2009): 91-96.
DOI: http://dx.doi.org/10.18686/ahe.v6i23.4850
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