Using Artificial Intelligence in Education to augment learning, teaching and leadership:
For decades people have discussed how to revolutionize education with technology, whether “gamifying” instructional materials or expanding access to knowledge via massive open online courses. EdTechXGlobal and Ibis capital estimated that schools spent nearly $160 billion on education technology, or edtech, in 2016, and forecast spending to grow 17 percent annually through 2020. Private investment in educational technology grew 32 percent annually from 2011 through 2015, rising to $4.5 billion globally. AI’s share of these flows is only likely to increase, because these technologies are well suited to achieving crucial education objectives, such as enhancing teaching efficiency and effectiveness, providing education for all, and developing the skills that will be essential in the 21st century.
So where will education be in 2030 in terms of artificial intelligence?
Experienced trainer, facilitator, author, presenter and coach. Co-founder of several enterprises. Over 20 years of focus on education.
It is highly likely to make an impact in the following areas:
- Enhancing Individualized Learning – AI has the potential to truly bring about Individualised Learning which has been spoken about for a number of years. This is likely to be achieved through enhancing adaptive learning, recuperating course and content structure, and providing suitable and useful feedback.
- Augmenting the Role of the Teacher – AI has the potential to transform the role of the teacher to becoming a learning facilitator, as opposed to currently spending significant time on planning, developing and marking in relation to set content and curriculum.
- Augmenting Educational Leadership – As in many other sectors the role of AI to enhance and augment leadership is significant. From helping with HR type activities, to assisting in scenario and strategy planning. The role of AI in assisting educational leaders be even more effective is significant.
However, the success of AI in education hinges not only on technical issues but on ethical issues, starting with, for example, who owns data on students, who can see it, who can use it, and for what purposes.ues, starting with who owns data on students, who can see it, who can use it, and for what purposes.