Role of corpus based online tools in analysis, assessment and teaching academic writing
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Abstract
This article presents a comparative linguistic analysis of student-written and AI-generated essays composed in English based on identical prompts. Three tools were used for the analysis: LIWC, Versatile/VersaText, and Grammarly. The results revealed differences in linguistic accuracy, lexico-grammatical organization, readability, analytical nature, and cognitive characteristics. AI-generated texts demonstrated higher formal accuracy and a more pronounced analytical style, whereas human-written texts were characterized by a higher number of linguistic errors and a greater degree of authenticity. The study demonstrates that the combined use of multiple tools allows for the identification of distinct linguistic features distinguishing human and AI-generated writing and can be valuable for the analysis, assessment and teaching of academic writing.
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References
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