This paper introduces an interactive system that discovers students’ daily moods and classroom emotions to enhance the teaching and learning process using heterogeneous sensors. The system is designed to enable (1) detecting students daily moods and classroom emotions using physiological, physical activities, and event tags data coming from wristband sensors and smart-phones, (2) discovering association/correlation between students’ lifestyle and daily moods, and (3) displaying statistical reports and the distribution of daily moods and classroom emotions of students, both in individual and group modes. A pilot proof-of-concept study was carried out using Empatica E4 wristband sensors and Android smart-phones, and preliminary evaluation and findings showing promising results are reported and discussed.