Some Easy ways to Evaluate Learning in AI Age

 We talk about AI as if it's a villain. But plagiarism has been around long before AI happened. So what does a professor do now, to make out what's original learning from a student in his class?

There are many ways, I would think.  Some of these could be

-a Viva or oral test instead of an assignment which if it is take home, will almost certainly involve the use of AI.

-argumentative questions which require some justification of a stand taken on a controversial subject/situation, even in a case study

-ask for original stuff that AI cannot produce. 

-ask students to write something in class- not just in an exam, but regularly. If the class is large, it could be a group assignment.

-assign an AI analysis exercise where they get info from AI and then critique it for what it leaves out, or what students can add to it. Can be done in class.

Innovation in pedagogy/evaluation is always possible, to check a student's learning. 

Digital Marketing Course- First Edition

I just finished teaching the digital marketing course- its first edition.

It is an exciting new area to teach in, and required a few months of preparation. Fortunately, I was able to write a couple of original case studies, and used them in the course. Chats with former students who work in the area also helped. Compared to traditional media (I used to teach the advertising course earlier, and also worked in an ad agency many years ago), the digital media are very dynamic and may change in character or opportunities offered, every two or three years.

Anyway, since it is a new area, I also tested some unique assessment methods. One of them was to assign students to write blogs on the subject of digital marketing, update the content regularly, and measure the readership after trying their best to promote the blogs through email or social media. The result was gratifying.

More innovations will follow in edition 2 next year. Keeps everyone on their toes. Me too.