Research on Fuzzy Comprehensive Evaluation in Practice Teaching Assessment of Computer Majors
Автор: Shuang Liu, Peng Chen
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 11 vol.7, 2015 года.
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Practice teaching is an inseparable part of professional courses for computer majors, which helps to cultivate capability of coding and engineering for students. Progress assessment and result assessment are two common ways to assess the practice teaching. But only by class attendance and programming result, it is not scientific and reasonable for all students to get the final assessment result. And it is not scientific to evaluate teaching quality only by classroom observations or instructional supervision too. How to assess the practice teaching from multiple perspectives scientifically is key point of this paper. A new assessment called fuzzy comprehensive evaluation from different targets collecting from five assessment means is adopted to complete the task. Based on five targets of grade 1 and corresponding targets of grade 2, one fuzzy matrix is constructed with membership determining and one quantitative result is obtained based on calculation of fuzzy matrix. This assessment method breaks through the knowledge barrier and puts emphasis on competence assessment and teaching evaluation, which improves teaching quality in the teaching process. Adopting this assessment method, students' learning effects can be assessed objectively and fairly, which will result in inspiring students' passion for independent learning and helping them to build employment challenge self-confidence with optimistic and positive attitudes. And teachers will get effective feedback and professional suggestions from experts, students and management department to improve their practice teaching in the future.
Practice teaching, Computer major, Fuzzy comprehensive evaluation, Assessment, Membership
Короткий адрес: https://sciup.org/15014808
IDR: 15014808
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