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Title:
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CHOOSING LEARNING METHODS SUITABLE FOR TEACHING AND LEARNING IN COMPUTER SCIENCE |
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Author(s):
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Estelle Taylor, Marnus Breed, Ilette Hauman, Armando Homann |
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ISBN:
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978-972-8939-88-5 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Computer Science, Education, Learning Paradigms. |
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Type:
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Full Paper |
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First Page:
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74 |
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Last Page:
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82 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Our aim is to determine which teaching methods students in Computer Science and Information Systems prefer. There are in total 5 different paradigms (behaviorism, cognitivism, constructivism, design-based and humanism) with 32 models between them. Each model is unique and states different learning methods. Recommendations are made on methods that can be used in the teaching and learning of Computer Science and Information Systems. Learning can differ greatly from person to person. Clearly a teacher cannot possibly meet every single students needs when it comes to optimal learning. The best and maybe the only possible outcome is to try to determine what methods or combination of methods a teacher should apply to suit the biggest percentage in a class. Students have fundamentally changed with regards to their intellectual, social, motivational, and emotional needs. The modern student not only uses technology on a daily basis, but has become dependent on it. Elements of all theories need to be incorporated into a paradigm that will be sufficient to educate the Computer Science students of today. Technology must be used in the most optimal way to engage with students and to keep them interested. |
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