FULL DETAILS (Read-only)  -> Click Here to Create PDF for Current Dataset of Trial
CTRI Number  CTRI/2026/04/108581 [Registered on: 17/04/2026] Trial Registered Prospectively
Last Modified On: 16/04/2026
Post Graduate Thesis  Yes 
Type of Trial  Interventional 
Type of Study   Behavioral 
Study Design  Randomized, Parallel Group Trial 
Public Title of Study   Effect of AI tools on learning skills among medical students 
Scientific Title of Study   Evaluating the effectiveness of Generative AI for enhancing Deep Learning Skills among Medical Students:A Randomized Controlled Trial 
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Varsha  
Designation  Student 
Affiliation  Malankara Orthodox Syrian Church Medical College  
Address  Department of Community Medicine Room no. 2D MOSC Medical College Kolenchery, Eranakulam

Ernakulam
KERALA
682311
India 
Phone  8708471080  
Fax    
Email  dharravarsha@gmail.com  
 
Details of Contact Person
Scientific Query  
Name  Dr Sharon Baisil 
Designation  Associate Professor 
Affiliation  Malankara Orthodox Syrian Church Medical College  
Address  Room no. 2B Department of Community Medicine MOSC Medical College Kolenchery, Ernakulam


KERALA
682311
India 
Phone  8129982157  
Fax    
Email  drsharonbaisil@gmail.com  
 
Details of Contact Person
Public Query  
Name  Varsha  
Designation  Student 
Affiliation  Malankara Orthodox Syrian Church Medical College  
Address  Department of Community Medicine Room no. 2D MOSC Medical College Kolenchery, Ernakulam


KERALA
682311
India 
Phone  8708471080  
Fax    
Email  dharravarsha@gmail.com  
 
Source of Monetary or Material Support  
NIL 
 
Primary Sponsor  
Name  MALANKARA ORTHODOX SYRIAN CHURCH MEDICAL COLLEGE  
Address  Kolenchery, Ernakulam Kerala 682311 
Type of Sponsor  Private medical college 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Sharon Baisil  Malankara Orthodox Syrian Church Medical College Hospital  Department of Community Medicine Room no. 2B
Ernakulam
KERALA 		 8129982157

drsharonbaisil@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
INSTITUTIONAL ETHICS COMMITTEE MOSC MEDICAL COLLEGE   Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Healthy Human Volunteers  Normal  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Generative AI Based Learning Using NotebookLM   Participants will receive training on the use of NotebookLM, a generative AI tool. They will be instructed to use the tool for at least 15 minutes daily for a period of 3 months. The intervention includes uploading study material to generate structured notes, creating audio summaries, and analyzing question papers to enhance deep learning approaches. 
Comparator Agent  Waitlist Control Group  Participants will continue their usual study methods without exposure to the generative AI tool for the initial 3 months. After completion of the first phase assessment, they will receive access to the same intervention. 
 
Inclusion Criteria  
Age From  17.00 Year(s)
Age To  25.00 Year(s)
Gender  Both 
Details  Participants who satisfy all these four criteria are selected for the study
Undergraduate medical students of a Medical College in Ernakulam district.
Own a device (either phone or a tablet) with internet access and a web browser capable of running NotebookLM
Willing to sign up and use the free NotebookLM AI tool (which requires internet connection) for 15 minutes every day for 3 months.
Willing to give informed written consent to take part in the study  
 
ExclusionCriteria 
Details  Students who are not comfortable using mobile devices for study purposes
Students who are currently using other AI tools for their studies. 
 
Method of Generating Random Sequence   Computer generated randomization 
Method of Concealment   On-site computer system 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Change in deep learning approach score (R-SPQ-2F) from baseline to 3 months between intervention and control groups  Change in deep learning approach score (R-SPQ-2F) from baseline to 3 months between intervention and control groups 
 
Secondary Outcome  
Outcome  TimePoints 
Correlation between deep learning approach score (R-SPQ-2F) and average daily sleep duration among participants  Baseline (0 months)
3 months post-intervention 
 
Target Sample Size   Total Sample Size="116"
Sample Size from India="116" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   17/05/2026 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="6"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   This study is a parallel group randomized controlled trial designed to evaluate the effectiveness of a generative AI based intervention in improving deep learning approaches among undergraduate medical students in a medical college in Kerala. 
Participants will be randomized into intervention and waitlist control groups. The intervention group will use NotebookLM, a generative AI tool, for 15 minutes daily over a period of 3 months to enhance deep learning through study material generation, concept understanding, and question analysis. The control group will continue routine study practices during this period. Deep learning approach will be assessed using the Revised Two Factor Study Process Questionnaire at baseline and after 3 months. The study will also assess the association between deep learning scores and sleep duration. The total study duration will be 6 months.
 
Close