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Teachers’ Practical Knowledge and Assessment Supporting Children Becoming “Authors” : Story Creation Practice as Caring Linked to the Reading Environment
No full text本研究は,｢椋鳩十さんに学んで動物作家になろう｣(小学校第5学年)と｢アーノルド･ローベル『おてがみ』と『おちば』の重ね読みからシリーズ物語創作へ―2年１組そうぞう力図書館活動を土台として｣(小学校第2学年)の2つの実践を取り上げ,子どもたちが｢作家｣になることを支える教師の実践的知識と評価実践について考察した。自ずと本に親しむ読書環境デザイン,子どもへのcare for,｢譲り渡す(hand over)｣教師のありよう,関係構築と協働の価値探究,ケアリングとしての評価実践の重要性を導き出した。This study explores examines two practices: “Learning from Muku Hatoju to Become Animal Writers" (5th grade elementary school) and “From side by side reading of Arnold Lobel's ‘The Letter' and ‘The Fallen Leaves' to Creating a Series Story---Based on the Imaginative Library Activities of Class 2-1" (2nd grade elementary school). It explores the practical knowledge and assessment practices of teachers supporting children in becoming “author" It naturally led to the importance of designing reading environments that foster natural familiarity with books, care for children, the teacher's role as a “hand over" style, and assessment practices as relational building and collaborative value exploration, caring
GAAOA-Lévy: a hybrid metaheuristic for optimized multilevel thresholding in image segmentation
Full text linkImage segmentation is a critical task in image processing with applications in various domains, including industry and medicine. However, multilevel thresholding, a widely used segmentation technique, suffers from high computational complexity due to the exhaustive search for optimal thresholds. This paper addresses this challenge by proposing a hybrid Genetic Algorithm-Archimedes Optimization Algorithm (GAAOA), further enhanced with a Lévy flight function (GAAOA-Lévy), to improve efficiency and accuracy in multilevel thresholding. The integration of GA’s crossover mechanism strengthens local search capabilities, leading to optimal segmentation with fewer iterations. The proposed algorithm is evaluated using standard benchmark images and compared against well-known optimization techniques. Experimental results demonstrate that GAAOALévy outperforms existing methods in terms of Peak Signal-to-Noise Ratio (PSNR), computational efficiency, and convergence speed, particularly excelling in three-level thresholding while reducing computational costs for higher thresholds
The Euler Characteristic of the Fiber Product of Morse Functions on Grassmannians
No full textFor F = R, C, or H, let Gk(Fn) denote theGrassmannianof k-planes in Fn. Forawell-knownMorsefunction f: Gk(Fn)R, we denote by C(f) the 4berproductoftwocopiesof f. Weproveaformulawhichdescribes &(C(f))
