A proposal to measure the impact of automated response systems on meeting student learning outcomes
Keywords:
Automated Response Systems, Learning Outcomes, Higher EducationAbstract
With the advancement of Artificial Intelligence (AI), much has been made of the use of AI in education. Central to that is the idea of an Automated Response System (ARS). Current adoption of ARS’s in education has been mainly in the realm of administrative tasks but is likely to move into the support of teaching. ARS can be used as a supplement for teaching as it provides instant feedback, and 24/7 support. Having a highly accessible, 24/7 ARS can help relieve some of the burdens placed on teachers, especially in a post COVID-19 environment, where teachers expect work to intensify, rather than simplify. In this paper we present a work-in-progress that proposes what features an ARS for education should have, how these would be useful and how these features help teachers assist students meet their learning outcomes in a holistic manner.
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Copyright (c) 2021 Josiah Koh, Michael Cowling, Meena Jha, Kwong Nui Sim
This work is licensed under a Creative Commons Attribution 4.0 International License.