Pulse-Based Analysis on Teaching Quality Evaluation

Abstract

Teaching evaluation is essentially a kind of value judgments on teaching activities and their effects, but currently the teaching quality assessment is usually mainly carried out through the assessment made by experts or the university itself. Student’s opinion is rarely considered and the evaluation of students has only minor impact, so it can not fully reflect the teaching effects and the final evaluation outcome lacks practical effects. This chapter presents a teaching evaluation method based on pulse information analysis, which takes the learning status of students into consideration to achieve objective and quantitative evaluation on teaching effectiveness. The pulse data of students in the class is measured and recorded to extract pulse parameters, and according to the relationship between learning status and emotion, the emotional model is further established. Through analyzing and processing the pulse characteristics parameters and emotional model, the model can reflect the learning status in real time, which is beneficial to teachers in summarizing teaching experience, identifying problems and improving the teaching effectiveness.