MSL906 Education at the Intersection of Artificial Intelligence and Neuroscience

Introduction

The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. At the same time, developments in AI are yielding benefits for neuroscientific research. Patterns identified from neural networks can illuminate computations enacted by the biological brain, functioning both as a model for developing and testing ideas about how the brain performs computations. Conversely, brain-activity recordings can be fed to an artificial neural network and tasked with learning how to reproduce the data, functioning as a tool for processing complex data sets that the Science of Learning research field is generating. This course will explore cycles of mutual reinforcement between neuroscientific data and artificial neural networks to obtain further insights into how computation works in the brain, and how machines that can take on more human-like intelligence to advance understanding for how a learner develops. Specifically, the course will focus on unexplored spaces at the intersections of neural AI, symbolic AI, brain science and cognitive science. Takeaways include implications for education and how cutting edge teaching and learning methodologies harnessed from AI and SoL fields may be developed.

Learners need to complete any of the following three courses to attain the Graduate Certificate in Mind, Brain, and Education (12 AU):

• MSL901
• MSL904
• MSL906
• MSL907A, MSL907B, and MSL907C

Upon completion of all courses, learners will fulfil the AU requirements to attain the FlexiMasters in Mind, Brain, and Education (16 AU).

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