When AI becomes your teacher

11

October

2024

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Back in 2023, I was learning for the IELTS exam (a certificate for English language proficiency). In my country Vietnam, there’s a myriad of language training centers providing IELTS preparation courses. If you want to have a teacher from these centers to guide you through the exam preparation process, you would have to pay a hefty amount. Determined to get a good score without having to spend a lot of money, I embarked on a self-learning journey. I was confident in achieving my goal. After all, Google gives you all the materials for free; all you need to do is put in the effort to learn. What could be so hard about it, right?

It turned out to be not that simple. Out of the 4 tested skills (listening, reading, speaking, writing), I was particularly bad at writing. And I soon realized, trying to self-study writing was not remotely easy. I would often find myself stuck for hours just trying to write a 250-word academic essay. The hardest part was to find a way to get feedbacks on my writing. I remember spending hours searching among hundreds of sample essays on Google just to pick out 1 piece of writing that was fairly good. At that point, I really wished that I’d had a teacher, or someone that could give me improvement feedbacks.

In the process of trying to find a way to improve, I came across the idea of using ChatGPT to give me feedbacks on my essay. I had never used it before, so I was curious on how effectively it could perform. I was absolutely amazed. Not only did it give me valuable feedbacks, it also made sample essays for my reference. This may sound like it’s nothing right now, but back then when I was not aware of ChatGPT’s capability, I was in awe. From that point onwards, I started to use ChatGPT in every aspect of my self-learning journey. I asked it to grade my work, provide feedbacks, create samples, summarize theories,… ChatGPT became my personal teacher, and helped me to eventually get a really good score (with my writing score as the most improved one). All I had to pay was a 20$ subscription. Compared to the average fee of 1,000$ charged by training centers, that is a 98% cost reduction!

Besides ChatGPT, I also used NotionAI to generate additional samples as an extra source of reference. Currently, being a Master’s student in BIM, I’m exploring more AI tools and incorporate more of them in my learning and daily life. It is undeniable that AI will continue to transform the way we learn, for both better and for worse. AI could help us quickly gather, filter and summarize crucial information, with highly-tailored answers that suit our need. If we utilize it to enhance our learning and brainstorming process, AI could make us become proficient in an area faster than ever.

However, GAI also poses a great threat to our thinking ability. Over-reliance on using AI for everything could lead us to gradually lose our cognitive ability. We will become lazy people, who are lazy to think. Therefore, the question is not “Should we use AI?” anymore, but “How should we use it effectively?”. The answer to this question will likely shape the future of human kind.

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Tech-Driven Triumphs: The New Era of Sports Performance

20

September

2024

5/5 (1)

In 2016, the National Basketball Association (NBA) tournament witnessed the best record done by a team in a regular season. The Golden States Warriors (GSW) finished the regular season with a record of 73-9 (win-loss). They broke the previous 72-10 record established in 1996 by the Michael-Jordan-led Chicago Bulls. In that 2016 season, GSW’s point guard Stephen Curry set the record for most 3-point attempts made, with 402 made 3’s. Before that, no player has made 300 three-pointers in a season. The Warriors did not win the trophy that year, but they went on to become champions in the following 2 seasons.

It was not only the talent of the players and coaching staff (which, of course, played a big role in the historic run) that propelled the success of the franchise. Behind the curtain, it was the technology and analytics that the GSW leveraged that helped them transform into such a dominant sports team. The Warriors was one of the first teams to adopt tracking technologies and analytics (Tina, 2017). From 2010, they have installed SportsVU, a camera tracking technology that utilizes computer vision, to track what’s happening on the court. The tool provides a rich dataset of the movement and coordinates of players, and the analytics team and coaching staff can use this data to drive decision-making processes. GSW was one of the best teams to utilize the technology, leading them to achieve the 2016 MIT Sloan Sports Analytics Conference award of “Best Analytics Organization” (Fahey, 2016).

The technology-immersed world of sports

Embracing the use of technology is not only just a competitive advantage for sports teams anymore; it has become a do-or-die thing, and it has touched every branch of sports. Baseball, for example, was probably the first sport to popularize the concept of sports analytics, with the publishing of Michael Lewis’s book “Moneyball: The Art of Winning an Unfair Game” (2003) and the later movie adoption “Moneyball” (2011). Nowadays, the Major League Baseball (MLB) teams use Statcast, a tracking technology to gather real-time data, including pitch velocity, exit velocity, launch angle and more (Becoming a Baseball Analytics Expert, 2023). 

Wearable technologies have also been used heavily by sports teams. In the National Football League (NFL), teams are using Catapult, a wearable tracking device that could track all performance and physical condition indicators of players (Becker, 2019). The same wearable technology is applied in football to capture player movements, actions on the field and physical exertions, along with other metrics such as player workload , movement efficiency, and game-specific physical profiles (Ambler, 2024).

Not just team-performance enhancement, technologies have been invasive in every aspect of sports. Teams have been using analytics in scouting to pinpoint how much an athlete is worth by looking at player’s longevity, heart rate, natural health condition and prediction on how these impact the player’s career (Hanchett, 2012). Artificial intelligence has been incorporated in football’s Goal-Line Technology to help referees determine goals. Virtual Reality (VR) have been used to simulate training environment for athletes without physical strain, and Augmented Reality (AR) technology has been enforcing fans’ engagement with live stadium tours or interactive gaming during live events. The list goes on and on.

The future: Super athletes, super teams, and super sporting?

The past 50 years have witnessed incredible sports feats by athletes and teams. A marathon finished under 2 hours was deemed impossible, until Eliud Kipchoge did it in 2019. Arnand Duplantis, a Swedish pole vaulter, broke his own world record for the 9th time this Olympics. Great athletes like Lebron James, Ronaldo and Novak Djokovic keep pushing the age limit for a competitive professional sports career. The GSW’s 73-9 record, Real Madrid’s three-peat of the Champions League, Man City’s 100-point season are among impossible feats achieved recently. All of these amazing sports achievements have been greatly assisted with the help of technology advancement. And now, when we step into the age of another technology breakthroughs with AI, will the world witness the making of super athletes, surpassing Lebron James and Cristiano Ronaldo?

References

Tina. (2017, November 9). How analytics drives the Golden State Warriors. Chartio. https://chartio.com/blog/how-analytics-drives-the-golden-state-warriors/

Fahey, A. (2016, March 13). Warriors earn “Best Analytics Organization” award at 2016 MIT Sloan Sports Analytics Conference. NBA.com. https://www.nba.com/warriors/news/warriors-earn-best-analytics-organization-award-2016-mit-sloan-sports-analytics-conference

Becoming a baseball analytics expert. (2023, August 15). Kore Baseball Products. https://www.korebaseball.com/blogs/blog/mastering-baseball-analytics-a-comprehensive-guide-to-analyzing-and-interpreting-game-data

Becker, J. (2019b, October 21). How analytics is changing sports. American University Online. https://programs.online.american.edu/mssam/sports-management-masters/resources/how-analytics-is-changing-sports

Ambler, W. (2024, July 3). Sports Analytics: What is it & How it Improves Performance? – Catapult. Catapult. https://www.catapult.com/blog/what-is-sports-analytics#Applications-of-Sports-Analytics

Hanchett, D. (2012). Playing Hardball With Big Data: How Analytics Is Changing The World of Sports. EMC, pp. 2. Retrieved from https://www.emc.com/collateral/article/137534-sports-analysis.pdf.

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