Predict Student’s Emotional State of Mind
A deep learning behaviour analysis tool that scores students’ well-being and alerts teachers when a score falls below the threshold.
- Client
- Australian IT company
- Industry
- Education
- Services
- AI & Machine Learning
- Year
- 2022
AI system predicts the well-being score of students by analysing various parameters. So schools can take timely actions to help students improve their mental health.
The Challenge
An Australia IT company had a challenging requirement: to determine the emotional state of students at a school and with the objective of determining emotional state on academic achievement and assist students accordingly.
The Objective
Develop a behavioural analysis tool to improve the performance of the scholars leveraging deep learning technology and assist students to achieve their full potential.
Features
- The Behaviour analysis tool is highly effective, providing a detailed analysis of scholars’ activities, and alerting the faculty about the state of mind of students.
- The system includes a questionnaire designed to assess the student’s mood and their study material preferences.
- A student’s behaviour history is extremely useful for the faculty and is invaluable during parents/teacher meetings providing an exact record about of the student behaviour.
- This is a highly beneficial tool, recording various activities and providing an assessment of the mental state of the student, helping students to retain a positive outlook and maximise their potential.
- This tool records student behaviour in real-time in the schools classrooms, the cafeteria, to the hallways and common areas.
- The application records the observations and responses and assign the statistical scores for important criteria including the physical, mental, and emotional state of the student.
- The systems alerts the teachers when scores fall below the threshold, activating additional counselling
Results
This tool has extremely useful especially during the Covid-19 pandemic when the physical interaction between teachers and students was very limited.
