AI for Learning by Kent Carmel;du Boulay Benedict;

Author:Kent, Carmel;du Boulay, Benedict;
Language: eng
Format: epub
Publisher: Taylor & Francis Group
Published: 2021-12-07T00:00:00+00:00

Step 3: On Affordances and Constraints of AI in Learning and Teaching

Let us consider the characteristics of an AI learner that are needed to make it successful.

Clearly, it needs an interface within which the human learner can create the knowledge or skill in question and this needs to be appropriate for the age, ability and background of the human learner.

There also needs to be a way that the human learner can cause the AI learner to behave, based on what it has been taught: in the case of Betty’s Brain, this is to take a test on ecology and in the case of LECOBA this is to solve Boolean algebra problems.

The individual components out of which knowledge or skill is described need to be understandable to the human learner. In the case of the nodes and arrows of Betty’s Brain, an evaluation showed that some learners did not understand the logic embedded in the arrows and how they could be chained together to draw a conclusion between two nodes separated by other nodes in the concept map [4].

Ideally, the AI learner system needs the capability of offering help to the human learners if they are not making progress in doing their teaching. There is a tension here in that the AI learner knows nothing initially other than the meaning of the individual knowledge or skill components, and yet it should be able to give advice. This is normally dealt with by introducing another agent on the screen, a teacher, Mr Davis, in the case of Betty’s Brain.

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