Case study

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
Predict Student’s Emotional State of Mind: screenshot 1

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.

Predict Student’s Emotional State of Mind: screenshot 2

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