Evaluation of Faculty Teaching Performance Using Students’ Heart Rate Data

Authors

  • Mu Lin Wong, Senthil, S.

Abstract

Existing teaching performance evaluation depends on data collected through questionnaire and class observation. Both are intrinsically polluted by bias factors. Therefore, questionnaire requires high volume while class observation requires expert input, to reduce bias. This study experiments using heart rate data of 32 students in 3 subjects over 30 classes each to derive many attributes that can be used to evaluate teaching performance. The empirical evidence showed that Peak attribute is the most robust attribute in relating to students’ scores, having the highest Pearson’s Correlation Coefficient with 0.01 significant level, followed by Up, Down and Low. These attributes can be used on the first class of the subject as they don’t fluctuate much. Students’ rating on teachers is found to be inaccurate in evaluating teachers’ performance. A good teacher is one who can stimulate students in class, resulting in high maximum heart rate, high class engagement and maximum tiredness after class.

Downloads

Published

2020-05-12

Issue

Section

Articles