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This project will assess students Stress levels and Sleep quality using both subjective and objective methods that evolved during Emergency Remote Learning(new teaching learning pedagogy that evolved post COVID-19) using various machine learning Techniques

Multi-Modal Assessment of Studentâ??s Stress and Sleep Affecting Academic Performance During Emergency Remote Learning Using Machine Learning Techniques

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2023/06/053972
Enrollment
2500
Registered
2023-06-16
Start date
Unknown
Completion date
Unknown
Last updated
2023-06-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Sharisha Shanbhog M
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1)This study is intended to administer students who have experienced both classroom learning and ERL during their B.tech course. 2)Hence this study is intended to include 3rd and 4th year B. tech students.

Exclusion criteria

Exclusion criteria: Based on inclusion criteria, this study excludes 1st and 2nd year B.tech students.

Design outcomes

Primary

MeasureTime frame
1)This study is aimed at analyzing different stressors that would have evolved during ERL and has largely contributed to their mental stress and overall sleep quality which together has an impact on their overall academic performance. 2) A validated questionnaire tool will be used to assess different stressors which focuses on students environment their perception of stress and different factors with respect to instruction medium (ERL). 3)Physiological signals like ECG HR ST Speech and Voice from publicly available datasets will be used to measure the persons stress levels and categorize them on further processing of data. 4)This study classifys the stress as Low High and Moderate levels of the subjects who either has Good or Bad quality sleep which has contributed for his/her Good Average or Bad overall academic performance.Timepoint: 4 years

Secondary

MeasureTime frame
This study classifies the stress as Low High and Moderate levels of the subjects who either has Good or Bad quality sleep which has contributed for his/her Good Average or Bad overall academic performance.Timepoint: 5 years

Countries

India

Contacts

Public ContactDr Jeevan M

Manipal Institute of Technology,Manipal

jeevan.m@manipal.edu

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026