Skip to content
Open access

A Comparative Study of Reading Essays and the Initial Output of Generative AI : Focusing on Ethos and Reflection

Jun 2026 · The Korean Association of General Education · 0 citations · 15 references

Abstract

This study aims to compare and analyze human reading essays and the initial outputs of generative AI from the perspectives of ethos and reflection, in a context where the uniquely human domains of reading and writing are being re-examined due to the development of generative artificial intelligence. To this end, a book club was operated at a local small library, and the reading essays written by participants were compared with essays generated by generative AI (ChatGPT 5.2) after being provided with the same full literary texts. The participants’ responses during the sharing and discussion process were also analyzed. The results showed that the initial outputs of generative AI were strong in terms of logical coherence and structural completeness, but had limitations in embodying uniquely human emotional and existential qualities, such as embodied experiences rooted in real life, incomplete emotions, and the inability to read aloud. In contrast, human reading essays revealed self-identity and ethical attitudes based on lived experience and reflection, thereby forming deep empathy and trust with readers. This study is significant in that it demonstrates that, even in the age of AI, reading essays remain an important educational practice for forming uniquely human reflection and ethos, while also shedding new light on the humanistic value of reading education.

Read PDF

Similar papers

#generative ai Open access Aug 2026

SILENCE IN AI TEXTS: INVESTIGATING THE LOSS OF INTERPERSONAL MEANING IN GENAI-PRODUCED ACADEMIC PASSAGES

It is revealed that GenAI texts underrepresent the subtle interpersonal cues that give writing its persuasive, dialogic, and ethical texture, though they excel in both grammatical accuracy, and lexical variety.

Dr. Daniel Tchorkpa Yokossi, Dr. Servais Dieu-Donne Yedia Dadjo, Dr. Cocou Andre DATONDJI · 0 citations
2026

Snow on the Tongue

The work argues that autoethnography functions not merely as a qualitative method but as a phenomenological mode of being and knowing that safeguards the primacy of anthropic subjectivity against machinic imitation.

S. Bashir · 0 citations
Jun 2026

The Future of Writing Education in the Age of Artificial Intelligence : Exploring the Value of Writing through the Lens of the Film Her

This study analyzes key scenes from the film Her and identifies the unique values of human writing that cannot be replicated by artificial intelligence from three distinct perspectives, and proposes three educational directions for writing education in the AI era: empathetic writing, reflective writing, and social writing.

Min-gyu Song · 0 citations
Open access Jul 2026

Generative text as a challenge to creativity and academic ethics

How generative text reshapes the understanding of creative activity and academic ethics in educational and research contexts is analyzed to highlight the need to reconceptualise academic integrity as a reflective process-oriented practice and to develop educational frameworks that promote ethical literacy, transparency, and responsible authorship.

Giedrė Paurienė · 0 citations
Jul 2026

A Study on Linguistic Clichés in Reflective Essays by Highly AI-Dependent College Writers

The analysis reveals that reflective essays written by students highly dependent on artificial intelligence display a distinct “conceptual emptiness” in which surface-level fluency coexists with inner superficiality, and concrete linguistic criteria enabling educators to perceive patterns of AI intervention in student assignments is offered.

Yeon-jeong Lee · 0 citations
Open access Jul 2026

Are we reading the researchers or the artificial intelligence? Transformations in academic writing after the expansion of generative AI

This ex post facto study examines how AI has transformed textual quality in education research, and indicates a discursive shift: AI enhances accessibility and fluency but may compromise rigour and authorial distinctiveness.

Daniel Pattier · 0 citations