Impact of Big Data and Artificial Intelligence on NIE’s Academic Programs
Monday, 14 May 2018
The Office of Education Research (OER) organized a half-day programme on big data, learning analytics and artificial intelligence (AI) for NIE appointment holders on 27 April 2018.
Prof Looi Chee Kit opening the session
This session aimed to raise awareness about the impact of big data, learning analytics and AI on our daily lives, their implications for education and employment as well as what people can do to manage the disruptions brought on by these phenomena.
Mr Koo Seng Meng giving his presentation
The first half of the session began with a presentation by Mr Koo Seng Meng (Deputy Director, Strategic Alliances, AI Singapore), who shared on the growth of AI and gave examples of the application of AI in our everyday lives. These included spam filters as well as fraud and anomaly detection.
Dr Harold Chan giving his presentation
Dr Harold Chan (Assistant Director, Data Science and AI Research Centre, NTU) then spoke about the disruptions that AI can bring to the healthcare, finance and services sectors and the work that NTU has done in the fields of AI and data science. He also highlighted the need for more AI talent globally and the types of employment opportunities available for AI talents (e.g., data analyst, data scientist, machine learning engineer and business intelligence developer).
Dr George Siemens delivering his presentation
Finally, Dr George Siemens (Director, Centre for Change and Complexity in Learning, University of South Australia) presented on the implications of AI for education and the competencies that learners require in the digital age. He also spoke about how AI will outdo humans in technical activities and the importance of ‘human’ skills (e.g., self-regulation, creativity, critical thinking) in enabling students to manage the disruptions brought about by AI.
In the second half of the session, NIE appointment holders broke out into discussions groups, where they discussed the impact of AI, big data and learning analytics on teacher education, teacher learning as well as educational research and administration.