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Title:
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DEVELOPMENT OF ONLINE COGNITIVE AND ALGORITHM TESTS AS ASSESSMENT TOOLS IN INTRODUCTORY COMPUTER SCIENCE COURSES |
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Author(s):
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Aimee Theresa Avanceña, Akinori Nishihara, John Paul Vergara |
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ISBN:
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978-989-8533-12-8 |
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Editors:
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Demetrios G Sampson, J. Michael Spector, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Computer Science Education, Cognitive factors, Algorithms. |
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Type:
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Short Paper |
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First Page:
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245 |
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Last Page:
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248 |
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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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This paper presents the online cognitive and algorithm tests, which were developed in order to determine if certain cognitive factors and fundamental algorithms correlate with the performance of students in their introductory computer science course. The tests were implemented among Management Information Systems majors from the Philippines and among the students of the Information Systems track in a technology high school in Japan. The cognitive factor, Spatial Scanning, correlated significantly with the performance of both student groups in introductory computer science. Among the algorithms, Maze Tracing correlated with the university students final grade and Binary Search with the midterm exam result of the high school students. The online tests also showed significant correlations among Searching, Sorting and Maze Tracing algorithms. The obtained correlations may be considered in creating assessment tools and in designing learning strategies for introductory computer science courses for both university and high school levels. |
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