For years education in Hong Kong has been stereotyped as feeding method, where teachers prepare educational materials, grade students’ work, and give feedback, and students learn from what they are provided. However, this kind of education is not effective at all. Teaching is restricted to the variation between the levels of students. Students, on the other hand, have been pushed through a “one-size-fits-all” type of learning, not personalised to their abilities and needs.
Application of Machine Learning in Education
The fast growing digital environment can help transform the learning experience of students. In a digitised classroom, teaching can be more personalised and provide far more effective learning. The tools are also affordable and easily accessible.
Mobile learning provides access to learning while on-the-go
As a new generation learner, I understand that we are always pressed for time, balancing between professional and personal priorities. We prefer learning in our own pace rather than being told what and when to do.
Therefore, mobile learning is important when it comes to this point. We can learn what we need and what we are interested anytime, anywhere.
Gamification makes the learner a game player, thus making learning fun, rewarding and possibly addictive
I can never deny that playing is far more attractive than learning in piles of books. However, with more advanced technology, many learning-related games are made to make it more interesting than it should be.
Dynamic scheduling matches students that need help with teachers that have time
Instead of sending emails to ask for help from tutors and professors, learners can schedule a meeting time with teachers that are available. This is more convenient compared to the traditional way.
NewClassrooms uses learning analytics to schedule personalised math learning experiences.
Successful education requires understanding on the needs of the new generation. Digital learning will accelerate the responsiveness of learning and provide a more personalised learning. This acceleration will also encourage learners to be proactive in updating their knowledge and competencies. I believe it is important to discuss the potential of machine learning in different fields so as to bring out its implicit qualities in the future.