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2014 IEEE Sixth International Conference on Technology for Education最新文献

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Proposing a Classification Methodology to Reduce Learning Style Combinations for Better Teaching and Learning 提出一种减少学习风格组合的分类方法,以改善教与学
Pub Date : 2014-12-18 DOI: 10.1109/T4E.2014.5
D. Anitha, D. Chelliah, S. Lakshmi, M. K. Meenakshi
Over the past 25 years, Learning Style Models have brought increasing attention to the fact that students have varying learning styles and students may enjoy learning only if teaching learning methodologies adapt to their learning style. There exists a lot of learning style models that determine the learning styles. However, addressing the needs of all styles of students is practically impossible and there is a need to find methodologies that identify major classification of students in a classroom. This research work proposes a classification methodology based on correlation prevailing between various dimensions of the learning models. This work finds the major classifications of learning styles among students and suggests suitable Teaching Learning Strategies. Felder Silverman Learning Style Model (FSLSM) is chosen for this research work and the reliability of this Learning Style Model is tested. A case study was conducted with 45 post graduate students using the proposed methodology and results are discussed.
在过去的25年里,学习风格模型引起了人们越来越多的关注,即学生有不同的学习风格,只有教学方法适应他们的学习风格,学生才能享受学习。有很多学习风格模型决定了学习风格。然而,满足所有类型学生的需求实际上是不可能的,需要找到方法来确定课堂上学生的主要分类。本研究提出了一种基于学习模型各维度之间普遍存在的相关性的分类方法。本研究发现了学生学习风格的主要分类,并提出了适合的教学策略。本研究选择费尔德·西尔弗曼学习风格模型(FSLSM),并对该学习风格模型的可靠性进行了检验。本文以45名研究生为研究对象进行了案例研究,并对研究结果进行了讨论。
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引用次数: 4
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2014 IEEE Sixth International Conference on Technology for Education
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