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Navigating the Digital Tutor, Artificial Intelligence and Academic Integrity in First-Year College Writing

The integration of generative artificial intelligence in first-year writing curricula necessitates a re-evaluation of traditional academic integrity frameworks. By examining student perceptions and pedagogical outcomes, this essay explores the transition of AI from a tool of academic dishonesty to a collaborative resource for writing development.

Тезис

While generative AI presents challenges to traditional notions of academic integrity, its integration as a collaborative tutor can enhance first-year writing outcomes if pedagogical strategies shift toward critical oversight and ethical engagement.

Основні аргументи

  • 1.AI tools facilitate personalized learning and writing refinement, serving as an effective collaborative tutor rather than a mere shortcut for academic output.
  • 2.Student trust in AI evolves through direct experience, moving from viewing tools as sources of dishonesty to recognizing the necessity of human oversight and calibrated interaction.
  • 3.Redesigning assessment practices to include GenAI allows for the development of essential technological literacy while maintaining academic rigor and institutional integrity.

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Analysis

The Evolution of Student Trust and Academic Integrity

Findings reveal that while ChatGPT offers significant support for content refinement and template generation, its efficacy is constrained by recurring deficits in emotional depth and critical thinking [7][8]. Analysis contrasts initial student views of AI as a 'cheating tool' with post-assignment perspectives that prioritize human oversight. The takeaway is that academic integrity risks are effectively mitigated when tools are framed as collaborative resources within calibrated instructional settings [4][5].

Method

Research Approach and Scope

The study utilizes a qualitative meta-synthesis of recent empirical literature published between 2024 and 2025 concerning generative AI in university writing curricula [5][7]. Inclusion criteria focus on student-reported experiences and instructor-led pedagogical interventions. Methodological limitations include the rapid pace of technological evolution and the current lack of standardized long-term longitudinal data regarding AI-augmented writing outcomes [3][6].

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Navigating the Digital Tutor, Artificial Intelligence and Academic Integrity in First-Year College Writing

Виконав(ла):

Група:

Прізвище Ім'я По батькові

Науковий керівник:

Прізвище І.Б.

Місто 2026

Зміст

Introduction6
The Pedagogical Shift: AI as a Collaborative Writing Tutor9
Navigating Integrity and Trust in AI-Assisted Writing12
Reimagining Assessment in the Age of Generative AI15
Conclusion18

Вступ

The rapid expansion of artificial intelligence within higher education has fundamentally altered the landscape of academic writing for first-year students [5].

Traditional academic integrity standards are increasingly challenged by the widespread accessibility of generative language models [1].

This essay investigates the dual role of AI as both a potential threat to authorship and an innovative pedagogical tool for novice writers [3].

By analyzing recent empirical studies, the research assesses how AI impacts critical thinking and rhetorical development in the college classroom [7].

The methodology involves a synthesis of qualitative and quantitative data regarding student perceptions, assignment outcomes, and instructional trust [4, 6].

Ultimately, this work outlines a framework for integrating AI tutors responsibly to support, rather than replace, student development in academic writing [8].

Список використаних джерел

  1. Academic Integrity and Artificial Intelligence (2024)
    Ceceilia Parnther
    Посилання DOI
  2. Textual imitations and artificial intelligence : a prospective essay on academic fraud (2024)
    Ludovic Jeanne
    Посилання DOI
  3. Advancing Students’ Academic Excellence in Distance Education: Exploring the Potential of Generative AI Integration to Improve Academic Writing Skills (2024)
    Kgabo Bridget Maphoto, Kershnee Sevnarayan, Ntshimane Elphas Mohale et al.
    Посилання DOI
  4. Student Perceptions of ChatGPT Use in a College Essay Assignment: Implications for Learning, Grading, and Trust in Artificial Intelligence (2024)
    Chad C. Tossell, Nathan L. Tenhundfeld, Ali Momen et al.
  5. ChatGPT Integration in Higher Education for Personalized Learning, Academic Writing, and Coding Tasks: A Systematic Review (2025)
    Kaberi Naznin, Abdullah Al Mahmud, Minh Tho Nguyen et al.
  6. Reinventing assessments with ChatGPT and other online tools: Opportunities for GenAI-empowered assessment practices (2024)
    Dennis Foung, Linda Lin, Julia Chen
  7. Writing with AI: What College Students Learned from Utilizing ChatGPT for a Writing Assignment (2024)
    Changzhao Wang, Stephen J. Aguilar, Jennifer S. Bankard et al.
  8. A Pilot Study Inquiring into the Impact of ChatGPT on Lab Report Writing in Introductory Engineering Labs (2024)
    Dave Kim, Aref Majdara, Wendy Olson

Список літератури

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ДСТУ 3008:2015 (Звіти у сфері науки і техніки)

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