Profiling english language writing creativity with ai: quotients affecting task complexity and repetition

Shalini Sharma; Sukhmani  Kaur; Gaganjot  Kaur

doi:10.5269/bspm.77990

Shalini Sharma Chandigarh University
Sukhmani Kaur
Gaganjot Kaur

Resumen

The Study investigates the Artificial Intelligence generated written articles. Writing majorly depends on idea generation and the quality extends with linguistic features. Human originality, fluency, flexibility and elaboration generates the judgments and assessment of the text. Language is developed with the mind, mouth, hand and eye. While writing, domain specific knowledge adds high quality to the write up, whereas the AI generated the similar frame of specific words into the drafts generated for the particular topic titles. University student’s drafts shows more quotients and their text is more persuasive and impressive whereas the Quotients are missing in the drafts generated out of the help of Chat GPT i.e. AI based application. The study is to examine the range and influence of techno- generated articles with the quality impact on the text as complex or repetitive by approach. The study employs Descriptive, Correlation and Wilcoxon Signed-Rank Test in order to evaluate the association, direction and magnitude of the changes between paired observations i.e. Pre-AI and Post-AI variables. The study reveals that the AI-blended instructional method significantly enhanced student learning outcomes compared to traditional methods. The study although proves that the quality of writing is improved with the usage of writing tools of AI. The results simply clarify that literacy is more effective with the cognitive approach of human brain.

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