A new post by an AI student at Birmingham University Augustas Macys
With the AI, schools, parents or students themselves can use technologies to complement their learning experience by making curriculum more personalised. This can be done by using the help of both symbolic AI and neural networks. Symbolic AI works based on logic, rules, knowledge and input parameters. It is easier to imagine it as a big decision tree which works in if this, then that style(If the student is a visual learner, then include more pictures in its curriculum). Neural networks can be trained during the usage of such a learning system so that it could give better recommendations on the material that student should use (just like Netflix with movies) or how hard and deep does the student want to dig in the studied field. Theoretically, this system could be an open source with the teachers who would supply different material on different subjects and with moderators and natural language processing methods which would block all the spam content. Personalised learning should make the students get better results because they would absorb the information in a way which suits them best. Moreover, students or children could learn a completely new skill which is not under the curriculum like journalism’s fundamentals. However, there are some drawbacks like that students could be filled up with very controversial information or that students would become so individual that it would be hard for them to talk to each other because of different interests.
Speaking of real-life examples, projects such as MATHia and Newsela already implemented some parts of the idea above and are quite successful so far.