The Future of Education

This paper offers a simplified AI-buster to help negate standardized practice by students to use a generative artificial intelligence chatbot to populate content in written assignments. AI firms’ infringement of copyright laws through pirated digital book library files resembles the music and movie streaming video industry in the past (Constantino, 2025; Hosch, 2026). Academic integrity, grade inflation, and sustainable plagiarism policies at institutions vary greatly in faculty practices that incorporate AI tools as part of writing assignments (Yu, 2023; Cespedes & Tursunkhanova, 2026). Course textbooks, academic journal articles, and other go-to-reliable sources were interwoven with a quality control in-text citation monitoring technique with an exact GPS locator by simply using enhanced APA format with sentences that map to the exact page number. Findings from grades, students’ evaluations, and student grievances were collected over 3 years by a tenured faculty (permanent renewable contract) teaching marketing course, Introduction to Marketing and Customer Value to both graduate and undergraduate students. Data showed this pedagogical framework as a stopgap for frustrated faculty. Grading assignments with a detectable in-text citation that included the exact page number fostered content authenticity using the original author(s) content and contiguity to the marketing constructs. Course evaluations by students were low (poor) when faculty incorporated a strict requirement for students to authenticate content use. Equally, other faculty were less likely to implement this pedagogical practice due to lower student evaluations and contract renewals based on high (excellent) student evaluations. This study supports researchers that argue for a more drastic response that needs to be changed in assessment and to mitigate risk of AI-plagiarism at the course design level (Yu, 2023). This paper draws attention to pedagogical practice that incorporates a more balanced approach that seeks to adapt courses that authenticate the use of content in writing assignments rather than prohibit AI use altogether.

 

Keywords: AI, generative artificial intelligence chatbot, authenticity

 

REFERENCES

 

[1] Cespedes, A. & Tursunkhanova, E. (2026). Toward more sustainable plagiarism policies in an AI higher education environment: a student-informed case study. Journal of Academic Ethics, 24:44, doi:10.1007/s10805-025-09718-9

[2] Constantino, T (2025, September 8). AI Firm To Pay $1.5 Billion For Pirated Books, Keeps Its Trained Models. Retrieved on March 14, 2026 from https://www.forbes.com/sites/torconstantino/2025/09/08/ai-firm-to-pay-15b-for-pirated-books-can-keep-its-trained-models/

[3] Hosch, W. (2026, Februrary 24). History. Retrieved on March 14, 2026, from https://www.britannica.com/topic/piracy-copyright-crime

[4] Yu, H. (2023). Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, doi : 10.3389/fpsyg.2023.1181712