Description
Mode of Workshop : ONLINE
Application of No-Code Artificial Intelligence tools for Academic Research
Last Date of Registration : 13th June, 2024
- Description
- About the Workshop
- Profile of the Instructor
- Module Description
- Eligibility & Audience
- Fees & Certification
- Reviews (0)
About the Workshop
At the end of this course, the participants will be able to:
a. Know how to perform Systematic Literature Review (SLR) using No Code AI tools for academic research.
b. Get an overview of No-Code AI tools for SLR
c. Develop a framework for doing SLR using No-Code AI tools.
Profile of the Instructor
Prof. Syaamantak Das is currently serving as an Assistant Professor in the Interdisciplinary Program in Educational Technology at the Indian Institute of Technology Bombay (ET@IITB), Mumbai, India. He has a PhD in Cognitive Information Analysis of Educational Texts from the Centre for Educational Technology at IIT Kharagpur. Post- Ph.D., he ventured into policy research at the Harris School of Public Policy, University of Chicago. He has also been associated with Piramal and WorldQuant. He holds professional memberships with ACM and SIGCHI. Prof. Das’s work is directed towards leveraging technology for educational advancement.
Module Description
Day |
Module Name |
Learning Outcomes |
|
1
|
Introduction to Systematic Literature Review (SLR) |
Learn how to do a SLR
|
| Current challenges of doing SLR | ||
| How AI can help us to do SLR | ||
| Concept of base paper |
Learn how to choose your papers using AI.
|
|
| Finding papers related to base paper | ||
| How to determine ‘ancestor’ and ‘successor’ papers? | ||
| Understanding the papers |
Learn how to read a paper using AI.
|
|
| How to understand a paper using AI? | ||
| Creating your knowledge base. | ||
|
2
|
How to find answers for questions with references? |
Learn how to find answers from your papers using AI.
|
| How to judge accuracy of the answers | ||
| Doing data analysis using AI? |
Learn how to do data analysis using AI.
|
|
| How to understand a complex table using AI ? | ||
| Can AI tools explain a complex passage? |
Eligibility & Audience
Intended audience:
PG, PhD, College / University Teachers.
Eligibility :
Having basic understanding about how to do a literature review for academic purposes. Basic
Computer proficiency preferred.
Fees & Certification
Fees for the Workshop :
Students : Rs. 944 (Rs. 800 + 18% GST)
Faculty & Industry : Rs. 1180 (Rs 1000 + 18% GST)
Certification :
Certificates will be provided to all the candidates who attends the Workshop.
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