My seminars on Generative Artificial Intelligence

Welcome to the compilation of my talks on Generative AI! 

Throughout 2023 I've had the privilege of sharing insights, discoveries, and perspectives on the fascinating world of generative AI, especially among educational institutions. These talks delve into the cutting-edge technology that enables machines to create, mimic, and innovate in ways that challenge our understanding of creativity and innovation. 

Over the course of this journey, I have seen the progress of acceptance and behavioral change in readiness to leverage this tech responsibly. 

I also cherish the opportunity to contribute to the preparation of an advisory note on generative AI for teaching and learning issued by the Malaysia Qualification Agency. Read it at https://www.mqa.gov.my/new/document/2023/edited/MQA%20Advisory%20Note%20No.22023-%20AI%20Generatif.pdf

This experience further enriched my personal adventure in delving into this area.  

Selected extensional activities on AI by me before:

Seminar 1:

Webinar on ChatGPT in Teaching and Learning: Friend or Foe? delivered on 02nd Feb 2023. This is the first talk on generative AI for teaching and learning conducted in Malaysia. This 

Seminar 2:

Webinar on Usage of ChatGPT in Higher Educational Institutions delivered on 02nd Feb 2023 organised by Universiti Kebangsaan Malaysia

Prime media coverage:

I was interviewed by TV3 about the usage of generative AI in teaching and learning. 

I uploaded the video here https://www.facebook.com/nurfadhlina.mohdsharef/posts/pfbid0359TobB3ysanALUHxSvDre36qPBE8uRbfeyzqN324rAi95fo5b9gVmZifQdvAiddNl

Seminar 3:

Webinar on Artificial Intelligence for Teaching and Learning delivered on 20th March 2023 to the Senate of Universiti Padjajaran, Indonesia for the initiative on exposure to AI transformation for teaching and learning.

Seminar 4:

Webinar on Teaching with ChatGPT-Practical Tips and Strategies delivered on 4th April 2023 organised by Universiti Malaysia Kelantan. The slides and YouTube is displayed below. Click the image on the left below to visit the YouTube video.

Seminar 5:

Webinar titled Ada Apa dengan ChatGPT? Tanyalah Dr. Fadh delivered on 14th April 2023 organised by the Centre for Academic Development and Leadership Excellence (CADe-Lead), Universiti Putra Malaysia. This webinar is designed to answer the questions and concerns on ChatGPT collected earlier through a Google Form. The slides and YouTube are displayed below.

Seminar 6:

A webinar targeted to students, titled Struggle to Success: How generative AI can transform your university experience? that I delivered on 26th May 2023 to Universiti Technical Malacca (UTeM). 

Seminar 7:

This slide was from an event that was organised by Universiti Pendidikan Sultan Indris (the teaching university of Malaysia). The event was aired using Webex and received very welcoming participation from the audience. Please feel free to benefit from the slides below that I have uploaded to my SlideShare page.   

Seminar 8:

This event was in a talk show format, conducted by the Centre of e-Learning, Universiti Malaysia Sabah on 24th July 2023. The title of the session was Enhancing Academic Productivity Using Generative AI: Tips and Strategies.

Seminar 9:

This talk was delivered for the National Defense University of Malaysia (Universiti Pertahanan Malaysia), Malaysia, in their academic staff induction course program, delivered on 9th August 2023. The title was Regenerating learning experience with AI.

Watch me in the news at

https://www.youtube.com/live/RdtVyOZUb2Q?feature=share my slot is at minute 30.48-35.20

Coverage in prime media:

There are low code-no code tools nowadays that can generate codes and automate certain tasks in coding. I was interviewed by TV3 Nightline about its implications to computer scientists and I highlighted the importance to integrate it in teaching. 

I always remind the students that they shud take advantage those tools to support their productive struggle, rather than let the tools replace themselves as learners. The tools make coding faster and democratise coding to non-coders. My experience is that the students in the course i teach this semester “Algorithm Design and Analysis” gets better because they focus on debugging, redesigning, analysing and testing rather than having to scour the internet for resources. They learn to appreciate importance of leveraging the tools through clever prompts and more than ever, aware on possible opportunities and challenges brought together by this innovation.

Human coders are still relevant for many years to come. The tools are good for sparking ideas but it cannot replace the comprehensive user requirements capturing, codes need to be debugged and integrated into the deployment stage. For the nation to tap into innovation economy, high-skilled workforce is a must.