Written by guest Kevin Pereira, Blu Artificial Intelligence
As a part time lecturer at the University of Hong Kong (HKU) and Hong Kong University of Science and Technology (HKUST) and my consulting work at Blu Artificial Intelligence, I’m often asked how AI will impact education in the future. We tend to see popular media pushing the narrative that AI will take over teaching. I take the opposing view. AI will not replace teachers. If anything, AI will become a new tool in a teacher’s toolbox. AI will free teachers from administrative burdens, give them insights on student development, and let them focus on what they do best – helping students grow.
The truth is that today we are still quite far away from having robots and AI surpassing human beings. However, AI does tend to perform very well at repetitive, structured and well-defined tasks. Hence the belief that AI will take away our jobs tomorrow in my view is quite far-fetched. If anything, we should think about task automation rather job automation. Most jobs are made up of certain tasks, each of which may or may not be easily automatable. We can each look at our own job, consider the tasks & skillsets that are hard to automate, and then focus on those areas for professional development.
Let us take teaching as an example. With the recent restrictions from COVID-19 a lot of the classes I teach have moved fully online. I started teaching in 2018 so I did the class in-person the year before. When I compare online and in-person, I find that student interaction is much easier to facilitate in-person. There’s very little “please unmute your mic”, or “can you repeat, you’re cutting out” and my personal favourite, “can you HEAR me?” with the entire class responding “yes, we can”. It is also easier to get feedback, both verbal and non-verbal, from students. Are they laughing with you or at you? Given my jokes, perhaps I should leave this question unanswered for myself.
This confirmed to me that human interaction is an important part of education. When I ask students for feedback on the class, almost all preferred an in-person class. This also jives with my views on tasks that are hard to automate. Generally, anything requiring human interaction is a challenge for AI because people react differently to the same stimulus. The fact that A+B does not always equal C is a problem for AI. AI has started to address this with larger data sets and training, but it is not easy.
The big question then is what does this mean for teachers? I believe AI will augment our ability to be productive. This means that teachers will work with AI tools to create better student experiences. For example, AI can take over structured and repetitive administrative tasks. Grading is a prime example, and it brings back some memories for me. When I was little, my mom, who has been a teacher most of her career, used to get me to help her mark her students’ multiple-choice tests. After bribing me with my favourite candy, I would happily read off “A,C,D,E,B…” into the wee hours of the night.
Today, we have Scantron sheets for multiple choice grading. Soon, with an area of AI called Natural Language Processing (NLP), AI tools will be able to ‘read’ free form text responses and do the grading. I can testify that student handwriting standards have dropped, but if we give the AI enough data (handwriting samples) this can be addressed. Students could also type their responses, which negates the handwriting problem. On top of this, machine learning tools can construct ‘student profiles’ from grades to track their progression and identify development areas.
I know that many teachers, whether they admit or not, are reluctant to work with AI, and that is totally understandable. The AI isn’t perfect and will make mistakes. To expect otherwise is setting ourselves, and AI, up for failure. However, the potential to free up teachers to do what they do best is something that I feel needs to be explored.
If you’re scared about being substituted by AI, please take solace from students today who say they can’t wait to get back to the classroom. They need you. With that in mind, all I ask is that you stay open to AI augmentation and its potential to help you and your students.
If you found this interesting and would like to discuss further, feel free to reach out to me at firstname.lastname@example.org.
Kevin Pereira is currently a Managing Director covering Financial Services for Blu Artificial Intelligence, a consulting firm that specializes in Artificial Intelligence.
After growing up in Hong Kong, he started his career in Private Banking with Citi in New York working within both the Investments and Relationship Management areas. He then moved back to Hong Kong and joined Bank of New York Mellon’s Asset Management business, where he helped to start a new group that specialized in products tailored to High Net Worth Individuals.
Post business school, Kevin worked at a technology startup in Myanmar that was building out internet infrastructure which included fiber optic, cell towers and data centers. In this role, he spent half his time with the Venture Capital firm in Hong Kong and the rest on the ground with the portfolio company in Myanmar. Kevin is also a Visiting Lecturer at the University of Hong Kong (HKU), where he teaches a full- credit MBA course titled, “Artificial Intelligence for Business Leaders”. He also lectures at the Hong Kong University of Science and Technology (HKUST) where he teaches “Big Data in Finance”.
Kevin graduated cum laude with a Bachelor of Science in Economics with concentrations in Finance, Management and Marketing from the Wharton School at the University of Pennsylvania. He also has an MBA from INSEAD.