Examples of how artificial intelligence is improving education
AI is making big waves in industries like business and medicine, but the education sector hasn’t fully tapped into its potential yet.
Personalised Learning:
AI can analyse data to tailor lessons to each ākonga needs, saving time and making learning more effective. It can also give kaiako insights into ākonga progress and suggest personalised teaching methods.
For example, a number of universities have tested the use of chatbots for repetitive tasks that would normally be done by a professor or faculty member – such as providing answers to questions frequently asked by students.
Adaptive Learning:
By adjusting the pace and difficulty of coursework, AI ensures ā=konga get the support they need while removing unnecessary repetition.
For example, incorporating adaptive learning to improve the way content is delivered is Duolingo, a language-learning app that provides listening, reading, and speaking exercises for learning around 40 different languages. The app uses AI to help ensure that lessons are paced for each ākonga according to their ability.
Automated Marking:
AI can accurately and efficiently mark assessments, saving kaiako time and providing consistent feedback to ākonga.
Note: This field requires more research to help reduce bias of the technology.
Smart Content Creation:
Using ākonga data, AI can generate engaging educational materials like quizzes and simulations, enhancing the learning experience based on ākonga learning performance, pace, and individual requirements.
Intelligent Tutoring Systems (ITS):
These systems provide personalised lessons and feedback based on individual learning styles, helping both ākonga and kaiako.
Learning Analytics:
AI speeds up data analysis, allowing teachers to track student performance and provide timely support.
However, there are still significant ethical concerns that will have to be dealt with.
Virtual Assistants:
These AI-powered helpers handle administrative tasks, freeing up Kaiako and kaimahi time to focus on teaching.
Natural Language Processing (NLP):
NLP enables AI tools like ChatGPT to assist ākonga with homework and aid kaiako in lesson planning.
Predictive Modelling:
AI predicts ākonga performance, guiding kaiako in offering timely support and enriching the learning experience.
Augmented and Virtual Reality:
These immersive technologies enhance learning by allowing ākonga to interact with complex concepts in virtual environments.