In authors or contributors

An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis

Resource type
Book Section
Authors/contributors
Title
An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis
Abstract
Student problem behavior refers to the students’ undesirable conducts and actions in schools. These behaviors severely affect students’ growth and development. In many cases, student problem behaviors are caused by the unsatisfied psychological needs, which are defined as the need deficiency. Hence, diagnosing students’ need deficiencies and regulating their problem behaviors are important educational tasks. The previous psychological studies have analyzed how distinct factors might affect student’s problem behaviors. However, the school teachers without such expertise may still encounter difficulties in applying these findings. Hence, this chapter describes the process of designing and implementing an intelligent teacher assistant, which could advise teachers and help them to handle the student problem behavior. Technically, it utilizes a task-oriented dialogue system to help identify the underlying reasons (i.e., the student need deficiency) behind their problem behaviors, and accordingly relies on a community question answering system to provide the advice. It also employs the semantic search technology to find the similar cases that have been well resolved by the experienced teachers.
Book Title
AI in Learning: Designing the Future
Place
Cham
Publisher
Springer International Publishing
Date
2023
Pages
91-104
Language
en
ISBN
978-3-031-09687-7
Accessed
23/02/2024, 23:57
Library Catalogue
Springer Link
Citation
Chen, P., & Lu, Y. (2023). An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis. In H. Niemi, R. D. Pea, & Y. Lu (Eds.), AI in Learning: Designing the Future (pp. 91–104). Springer International Publishing. https://doi.org/10.1007/978-3-031-09687-7_6