Impact of Artificial Intelligence on Teacher Training in Open Distance and Electronic Learning

Goodwill Phezulu Mbambo, Elizabeth C. Du Plessis

Abstract


Conventional methods of teacher training are now constrained by series of barriers such as limited resources and distance-related barriers. The emergence of new technologies that involve artificial intelligence (AI) became a paradigm shift in teacher training. Nevertheless, there are challenges attached to these new methods of teacher training. The purpose of this paper was to assess the impact of AI in Open Distance and Electronic Learning (ODeL) teacher training. Through a process of data collection, the study employed a quantitative approach. As a survey, copies of a questionnaire were provided electronically to relevant respondents. A random sampling strategy was employed using teachers and student teachers from various institutions. A total of 115 respondents took part in this research by filling out a questionnaire. In the process of reviewing relevant literature on teacher training and AI were, more emphasis was placed on integration of AI as a new technology in teacher training. Empirical data were descriptively analysed through a Statistical Package for the Social Sciences (SPSS) application. The results included multiple opportunities as well as limitations attached to AI implementation in an ODeL teacher training. The study recommended a proper evaluation of AI prior to implementation to ensure that ethical issues and education assessment integrity are not compromised.

https://doi.org/10.26803/ijlter.23.5.19


Keywords


Artificial intelligence; teacher training; Assessment; Open distance and electronic learning

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References


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