CHATGPT AS EXPERTLESS TEST GENERATOR

A.O. Taranowski, V.D. Samoylov

Èlektron. model. 2023, 45(2):44-60

https://doi.org/10.15407/emodel.45.02.044

ABSTRACT

Since its launch there has been a plethora of publications about what ChatGPT can and can’t be used for. While OpenAI remained silent about the exact place of ChatGPT in its framework of language models. Just ‘Try ChatGPT’ appeared to be not the best way to consider its applications for less evident purposes that just composing an essay. The author has strong belief that knowing what something really is adds a lot to one’s understanding of what that something is capable of. This article therefore first considers what ChatGPT really is following its missing manual. That allows than overcoming some crucial limitations of ChatGPT in order to propose, substantiate, and experimentally support its applicability to multiple-choice test items construction on the way to increase automation and optimisation in knowledge assessment systems in order to reach the level of that being expertless. The approach proposed is heavily based upon GUI client for ChatGPT while benefits of being used through API are also explained in the light of integration into existing knowledge assessment systems, additional effects, and future transition to GPT-4.

KEYWORDS

artificial intelligence, large language models, knowledge assessment.

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