2013Zhongnan Linye Keji Daxue xuebaoRequires access

The Formative Evaluation of Computer Programming Experimentation Course Based on Rough Set

Wang Chuan-l

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Abstract

At first the shortcomings of the evaluation methods of computer programming experimentation course is analyzed, the formative evaluation is a new evaluation method, compared with the traditional evaluation, it is more reasonable and objective. Teachers, students, the experiment group and the experts are the subject of the formative evaluation. The index of the formative evaluation includes 4 aspects: grammatical proficiency, algorithm application ability, algorithm design capability and quality of experiment report, the weight of the indexes is 16%, 30%, 30%, 24% in turn. The teaching practices show that the satisfaction degree to formative evaluation of student reaches 90 percent and the practical ability is improved by 18 percent after formative evaluation executed.

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What this paper is about

At first the shortcomings of the evaluation methods of computer programming experimentation course is analyzed, the formative evaluation is a new evaluation method, compared with the traditional evaluation, it is more reasonable and objective. Teachers, students, the experiment group and the experts are the subject of the formative evaluation. The index of the formative evaluation includes 4 aspects: grammatical proficiency, algorithm application ability, algorithm design capability and quality of experiment report, the weight of the indexes is 16%, 30%, 30%, 24% in turn. The teaching practices show that the satisfaction degree to formative evaluation of student reaches 90 percent and the practical ability is improved by 18 percent after formative evaluation executed.

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Available abstract

At first the shortcomings of the evaluation methods of computer programming experimentation course is analyzed, the formative evaluation is a new evaluation method, compared with the traditional evaluation, it is more reasonable and objective. Teachers, students, the experiment group and the experts are the subject of the formative evaluation. The index of the formative evaluation includes 4 aspects: grammatical proficiency, algorithm application ability, algorithm design capability and quality of experiment report, the weight of the indexes is 16%, 30%, 30%, 24% in turn. The teaching practices show that the satisfaction degree to formative evaluation of student reaches 90 percent and the practical ability is improved by 18 percent after formative evaluation executed.

Key concepts: Formative assessment, Computer science, Set (abstract data type), Evaluation methods, Quality (philosophy), Subject (documents), Mathematics education, Course (navigation)

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