Monday, 13 December 2021

Pamin: Enhance educational lessons with machine-learning systems



 
   According to "The Machines Are Learning, and So Are the Students" (Smith, 2019), many classroom tasks like grading and providing immediate feedback are more and more being performed by a machine or so-called Artificial Intelligence, and this is optimizing and revolutionizing education. For example, in SAT exam preparation, "A plethora of online courses and tutorials also have freed teachers from lecturing and allowed them to spend class time working on problem-solving with students instead." Most tutoring systems in the past used rule-based artificial intelligence, cognitive theory, and decision trees to guide students to a pre-defined learning path. Nowadays, the machine-learning revolution enables the new capability of learning algorithms to learn from data. They know about the student through their interaction with the system.  Smith cites Kulik and Fletcher to support the claim that machine learning systems can now do better than human tutors in terms of improving student performance one reason is that it is more patient and insightful. More and more applications are being developed to support education. For example, Riiid TUTOR, an AI-powered TOEIC preparation application developed by a Korean start-up, and Acuitus's digital tutor application, created by a Silicon Valley start-up company, both use A.I. technology to support education.  Smith mentions in the article that schools, classrooms, and teachers are still important to teach social skills and subjects like art, music, and sport. As for A.I.-aided learning, its challenge might not be “technology but bureaucratic barriers that protect the status quo.” Dr. John Newkirk, co-founder, and chief executive of Acuitus, comments on A.I.-powered education that it is already proof that it is possible but still has much room for improvement in a decade or two. New education technology can reach students at home directly with machine-learning systems and the internet. Smith concludes by quoting Dr. Terrence Sejnowski who said that "Parents are figuring out that they can get much better educational lessons for their kids through the internet than they're getting at school." (Smith, 2019)


 Reference 

Smith, C. S. (2019, December 18). The machines are learning, and so are the students.

3 comments:

  1. The article "The Machines Are Learning, and So Are the Students" interests me because I am curious how machine learning will help to enhance learning experiences. As mentioned in the article, a lot of applications are integrating with machine learning algorithms to learn more about students through interaction with a system. This enables new applications or educational lessons to be more effective and personalized.

    Although computer systems can perform many repetitive tasks such as grading and providing immediate feedback, and humans might not need to do them, it’s not bad because humans can focus on more important tasks. As mentioned in the article, "A plethora of online courses and tutorials also have freed teachers from lecturing and allowed them to spend class time working on problem-solving with students instead." This makes teachers able to focus more on each student and be moral support, tailor more personalized advice for each student, or teach abstract subjects like art and music. in the way that computers cannot do. For example, the system might consider only student interaction data but not how they feel when tackling problems or how their dress looks. However, human teachers can take this information into account. This kind of information might make human teachers able to support students better. Combining advantages from both humans and computers might revolutionize education and bring the most benefit to students.

    As technology and computing algorithms develop, their performance is better and can process faster. This enables the new possibility of applying it to various applications, including education. Dr. John Newkirk, co-founder, and chief executive of Acuitus, comments on A.I.-powered education that it is already proof that it is possible but still has much room for improvement in a decade or two. It is exciting to see how these improvements will revolutionize education.

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  2. I am surprised what A.I. technologies can do. Especially, that it can give students a personalize advice. I like that technologies collect students' data, and provide them a class that fits with their skills. I always find myself having a hard time learning English on my own, for example, I prefer to study in live class that I can respond realtime rather than study on my own. I do agree that human are important to enrich student skills, but the technologies can also help teachers to have more time for individual advices that could benefit the students. This is what I like the most.

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  3. I was surprised at how technology could enhance our lives. As far as I know, Facebook and such a huge platform like Youtube use some intelligence algorithm to sort out what we, as users, are interested in order to influence us to stay on the platform more and more. I haven’t heard that there are machine learning algorithms that can enhance, perform, and allow teachers to focus on teaching their students other important subjects. In the future, the teacher might not necessarily teach general subjects like math, science, and physics, but they are still needed to teach kids social skills and social interaction, which might lack ability when A.I. takes a huge part in our lives.

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