DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN EDUCATION
Keywords:
artificial intelligence, digital education, student evaluation, academic ethics, teacher roles, data privacy, Uzbekistan education systemAbstract
This work attempts to investigate about the usage of artificial intelligence and digital technologies on contemporary educational systems regarding how it relates with teaching, learning, and student evaluation. Although increasingly implemented, there is a large gap in knowledge about ethical issues, the long term impact on autonomy as a learner, and changing roles for the educator. In order to address this, the study employs a qualitative literature analysis of previous research and observation of the context of Uzbekistan’s education sector. Results show that although AI based systems offer structured support in handling content delivery and evaluation, risks associated with academic dishonesty, data privacy, and if depended on too much, AI based systems can easily end up as a bad company. The proposals of the results are that it is necessary to develop balanced digital strategies aimed at reinforcing both technologic capacity and human centered values in learning. Indeed, the resulting implications necessitate the construction of ethical guidelines and ongoing research of the cognitive and behavioral consequences of AI environments of learning.
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