800 resultados para Self-Directed Learning
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En esta investigación se trata de vincular la autogestión del aprendizaje con el desarrollo de la autonomía personal, la cual favorece el aprendizaje a lo largo de la vida. Partimos, en este proyecto de investigación, de la hipótesis de que la autogestión del aprendizaje es un elemento multidimensional cuya mejora revierte de forma positiva en el desarrollo de la autonomía e iniciativa personal. En esta comunicación se presentan los resultados obtenidos en la aplicación de la fase piloto de un proyecto más amplio, en el que se ha recogido información a través de autoinforme sobre las distintas estrategias y aspectos de la autogestión del aprendizaje y sobre la autonomía e iniciativa personal. Los resultados indican que, en general, hay una relación significativa positiva moderada entre las estrategias de aprendizaje y la autonomía, lo que confirma la importancia de ambos aspectos para favorecer el desarrollo integral de los estudiantes. El fomento de las estrategias de aprendizaje hace que los estudiantes desarrollen la autonomía. A su vez, exponer a los estudiantes a situaciones de aprendizaje que fomenten su autonomía mejora su competencia para aprender
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This paper reviews a study that was done with hearing and hearing impaired children to test the effectiveness of self-instructional programs and whether the results can be correlated with Educational Quotient and Intelligence Quotient.
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The transition metal-directed self-assembly of dithiocarbamate ligand functionalised upper and lower rim calix[4]arenes affords novel dimeric bimetallic bis(calix[4]arene) species as determined by a combination of analytical methods including X-ray crystallography. An exception is a zinc(II) dithiocarbamate upper rim calix[4]arene assembly which is monomeric in nature. Electrochemical investigations reveal the bimetallic copper(II) bis(calix[4]arene) systems can electrochemically sense dihydrogen phosphate and carboxylate anions via significant cathodic perturbations of the respective copper(II)/(III) dithiocarbamate oxidation wave.
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Foundation construction process has been an important key point in a successful construction engineering. The frequency of using diaphragm wall construction method among many deep excavation construction methods in Taiwan is the highest in the world. The traditional view of managing diaphragm wall unit in the sequencing of construction activities is to establish each phase of the sequencing of construction activities by heuristics. However, it conflicts final phase of engineering construction with unit construction and effects planning construction time. In order to avoid this kind of situation, we use management of science in the study of diaphragm wall unit construction to formulate multi-objective combinational optimization problem. Because the characteristic (belong to NP-Complete problem) of problem mathematic model is multi-objective and combining explosive, it is advised that using the 2-type Self-Learning Neural Network (SLNN) to solve the N=12, 24, 36 of diaphragm wall unit in the sequencing of construction activities program problem. In order to compare the liability of the results, this study will use random researching method in comparison with the SLNN. It is found that the testing result of SLNN is superior to random researching method in whether solution-quality or Solving-efficiency.
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This study explores how children learn the meaning (semantics) and spelling patterns (orthography) of novel words encountered in story context. English-speaking children (N = 88) aged 7 to 8 years read 8 stories and each story contained 1 novel word repeated 4 times. Semantic cues were provided by the story context such that children could infer the meaning of the word (specific context) or the category that the word belonged to (general context). Following story reading, posttests indicated that children showed reliable semantic and orthographic learning. Decoding was the strongest predictor of orthographic learning, indicating that self-teaching via phonological recoding was important for this aspect of word learning. In contrast, oral vocabulary emerged as the strongest predictor of semantic learning.