Can AI help Processors replace Professors?
The current pandemic situation has brought online education and AI in education technology to the limelight. Most academic institutions remain closed for students and have switched to online delivery. In this webinar we will try to look at AI enabled solutions and services to improve the learning experience of both the students and teachers in this new environment.
Can AI replace/augment the current teaching staff and help with student engagement? With the increased number of students in home-based education system can AI assist teachers to create engaging learning environments? We will look at virtual agents/ facilitators for personalized knowledge delivery, mentoring, multilingual translation and skill assessment.
The webinar will also be looking at education through the lens of personalization. How can technology address the need for informal and continuous upskilling required for overall social empowerment? We will look at some of the new learning paradigms and IIITB’s research in this area.
Assessment is a huge part of every teacher’s work schedule. What is the AI based solution for automated assessment? AI based assessment needs to go beyond the MCQs and output matching to support assessment of descriptive answers in terms of accuracy of the content, thought process and subjective situational judgement applied by student. Can assessment track real learning?
The webinar will also try to address the impact of online learning in society. The impact on pedagogy when the medium of knowledge delivery changes to an online environment; how do we address the issues of accessibility and comfort of both learners and teachers with the technology platforms. Does this new learning environment introduce bias in learning because of the loss of serendipity and loss of environmental diversity to build one’s character?
Event Details
The webinar series makes a serious attempt to provide a well-informed and balanced view on the novelty, opportunity, challenges, and Impact of these technologies. The series is designed as a set of 4 webinars.
Date and Time: 4th November, 2020 @ 5:00 PM – 6:30 PM
Panel Members
Prof. Dinesh Babu Jayagopi
Dr. Dinesh Babu Jayagopi is currently an Associate Professor at IIIT Bangalore, where he heads the Multimodal Perception Lab. His research interests are in Audio-Visual Signal Processing, Machine Learning, and Social Computing. He obtained his doctorate from Ecole Polytechnic Federale Lausanne (EPFL), Switzerland, beginning of 2011.
Prof. Janaki Srinivasan
Janaki Srinivasan’s research examines the political economy of information technology-based development initiatives. She uses ethnographic research to examine how gender, caste and class shape the use of such technologies. Her work has explored these interests in the context of Indian digital inclusion initiatives focused on community computer centres, mobile phones, identity systems and open information systems. Currently, she is exploring privacy, algorithmic control and the role of intermediaries in digital transactions, with an emphasis on the domains of financial inclusion and work automation.
Prof. Srinath Srinivasa
Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at IIIT Bangalore, India. Srinath holds a Ph.D (magna cum laude) from the Berlin Brandenburg Graduate School for Distributed Information Systems (GkVI) Germany, an M.S. (by Research) from IIT-Madras and B.E. in Computer Science and Engineering from The National Institute of Engineering (NIE) Mysore. He works in the area of Web Science — that models of the impact of the web on humanity. Technology for educational outreach and social empowerment has been a primary motivation driving his research.
Prof. Sujit Kumar Chakrabarti
Sujit Kumar Chakrabarti has a Ph.D. from the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Prior to that he has a Masters from University of Roorkee (now IIT Roorkee) in measurement and instrumentation, and a BE in electrical engineering from Nagpur University. His research interests are centred around software engineering, formal methods, programming languages, education technology and software testing.
Prof. Chandrashekar Ramanathan (moderator)
Prof. Ramanathan Is a faculty member at IIITB since 2007. His primary focus area is data science, software engineering and application development. Professor Chandrashekar received his Ph.D degree from Mississippi State University. He has examined technology for higher education in depth with particular interest in online assessments and automated evaluation. Application architectures, enterprise architecture and content management are his other areas of interest.