The index in this question can be: 1, whether it reflects the characteristics of the course, whether it reflects the level of students and whether it reflects the teaching level.
2. Modeling the composition of each index (corresponding to the scoring standard).
According to the meaning of the question, the influencing factors of the index are: test scores and homework attendance experiments. Let it be the column vector f = (s, h, a, e) t.
Course characteristics: Each course has different emphasis and different natural components. For example, in the experimental class, what we need to do is practical ability, and it is useless to score 100. At this time, the proportion of experiments in the composition is significant; There is also mathematical analysis, which focuses on thinking and analysis. Natural exercises and exams are very important, which means that exam results are more important than usual homework. How to quantitatively determine the importance of four factors in reflecting curriculum characteristics? One method is: analytic hierarchy process.
With the weight vector w=(w 1, w2, w3, w4) obtained by AHP, then the characteristics of this course are: char = WC * f.
Student's level: similarly, establish the weight and get: stu = ws * f.
Student level: Similarly, establish the weight and get tea = wt * f.
3. The comprehensive evaluation of students should only reflect the learning level of students after excluding the course characteristics and teaching level. So the final evaluation strategy should be: w=ws. *wc。 * Weight
3. Empirical analysis:
Scoring standard of C language:
wc=(0.5，0.2，0，0.3)
wt=(0.4，0. 1，0.3，0.2)
ws=(0.5，0.2，0，0.3)
Get: w=(0.8 1, 0.03, 0. 16)
Compared with B 70% 10% 0% 20% in the title.
Close.