Editing Affective computing (section)

=== Education ===
Affection influences learners' learning state. Using affective computing technology, computers can judge the learners' affection and learning state by recognizing their facial expressions. In education, the teacher can use the analysis result to understand the student's learning and accepting ability, and then formulate reasonable teaching plans. At the same time, they can pay attention to students' inner feelings, which is helpful to students' psychological health. Especially in distance education, due to the separation of time and space, there is no emotional incentive between teachers and students for two-way communication. Without the atmosphere brought by traditional classroom learning, students are easily bored, and affect the learning effect. Applying affective computing in distance education system can effectively improve this situation.
<ref>{{Cite journal|url=http://www.learntechlib.org/p/173785/|title = Review of affective computing in education/Learning: Trends and challenges|journal = British Journal of Educational Technology|date = November 2016|volume = 47|issue = 6|pages = 1304–1323|last1 = Wu|first1 = Chih-Hung|last2 = Huang|first2 = Yueh-Min|last3 = Hwang|first3 = Jan-Pan|doi = 10.1111/bjet.12324}}</ref>