Teaching Artificial Intelligence (AI) and language

Lusuardi, Carlo (2014) Teaching Artificial Intelligence (AI) and language. In: HEA STEM Annual Learning & Teaching Conference 2014: Enhancing the STEM Student Journey, 30 April - 1 May 2014, University of Edinburgh.

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Abstract

The question of how to make good students has been couched in a number of different terms over the years. However, there seems to be general consensus that Reflective Learning (RL) and higher-order thinking (HT) have a role to play. In particular, it appears that it is exactly these critical-thinking skills that enable self-awareness vis-à-vis the learning process to take place. Furthermore, while there is also agreement that it is beneficial to learners, when it comes to the question of how to deliver it and what is even meant by these terms, there is much debate (which on reflection isn’t a bad thing). An examination of key properties reveals that the areas of HT and RL have elements in common with Artificial Intelligence (AI) and Intelligent Agents in particular, which is not surprising as ultimately we would like machines to display these skills. Interestingly, when we examine higher-order critical thinking in different disciplines, the results reveal the use of different terminology for each discipline and even a different perception of thinking critically. In other words, the role of language is seen to be instrumental not only in creating the perception of critical thinking but also in generating criticality itself. Therefore, what may be required is a clearer understanding of the potential role of language to determine the world as well as a more thorough application of syntactic-semantic analysis to subject content.

Item Type: Conference or Workshop Item (Paper)
Members: Bucks New University
Depositing User: RED Unit Admin
Date Deposited: 07 Jun 2017 09:52
Last Modified: 07 Jun 2017 09:52
URI: http://collections.crest.ac.uk/id/eprint/15825

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