Study Notes on the Impact of A.I. on College Writing

Discussion of the impact of A.I. on higher education, particularly college writing.
Exploration of how A.I. challenges traditional academic practices and underscores the potential need for a recontextualization of educational goals.

Anecdote of conversations with students Alex and Eugene from New York University about their AI usage in schoolwork.
Alex's shift from wanting a career in the arts to considering becoming a C.P.A.; indicates changing priorities influenced by practicality.
Description of Alex's routine and his use of various AI tools:
- Uses Claude for research.
- DeepSeek for reasoning.
- Gemini for image generation.
- ChatGPT for diverse needs, including social interactions.
Reflective statement about reliance on ChatGPT for organizing personal matters, hinting at societal shifts in communication.

OpenAI released ChatGPT on November 30, 2022, reaching one million users in six days.
Overview of large language models and their functioning:
- Do not think like humans but generate text based on learned data patterns.
- Contrast with failures of earlier AI attempts like Microsoft's Tay—which was shut down.
Panic among students and educators regarding AI's impact on academic integrity and the feasibility of implementing effective regulations.

Alex demonstrates the use of AI in crafting papers, emphasizing his desire for minimal effort in courses he is not passionate about.
Example of an essay generated by Claude for an art history class; reflects a mechanical quality of writing when compared to human effort.
Discussion around concerns of academic dishonesty; insights from both Alex and Eugene about the ethics of using A.I. in schoolwork, indicating a complex relationship surrounding cheating, effort, and educational integrity.

Professors implement measures to prevent A.I.-assisted cheating:
- Expecting students to share version histories of Google documents.
- In-person assignments across multiple sessions to ensure authenticity.
Examination of AI detection software (GPTZero, Copyleaks):
- Different websites provided varying likelihoods of AI generation for the same paper.

Reflections on teaching practices and student engagement in writing courses.
Insights about feeling disconnected from student writing abilities:
- Noticing a disparity between classroom expression and written submissions; indicates potential AI influence.
Concerns raised regarding a recent survey indicating a rise in cheating among college leaders.
Discussion about the broader meanings of education amidst these challenges—how students engage with content may shift from traditional models of learning to a more transactional view.

Uneven perceptions of AI's role in academics depicted; students see it as a tool rather than a threat.
Pew Research Center survey statistics indicate rapid increase in AI usage among teens, suggesting AI's deep integration into academic routines.
Exploration of AI as a perceived productivity tool and embracing the opportunity for enhanced learning experiences.

Discussions regarding how educational institutions have responded, including
- Harvard undergraduate's experiment on AI-generated essays achieving a GPA comparable to live students.
CALLS for integrating AI into curricula vs. resisting its growing prevalence— illustrating the struggle to maintain academic rigor and relevance.
Conversations on the effectiveness of AI in assisting non-native English speakers and how new approaches can be adapted in STEM.

Melzer's perspective on outdated writing frameworks and the evolution of writing education in relation to technological advancements.
Arguments against strict adherence to standardized essay formats, pushing for a more holistic understanding of writing as a process.
Critique of generational writing methods, observing changes in student attitudes towards writing and analysis.

Comments on how schools must adapt to maintain communication skills in the context of abundance of information and convenience presented by AI.
The opportunity for higher education to rethink writing instruction as a developmental and iterative process.
Recognition of speed and efficiency afforded by A.I.—raising questions about depth of learning versus productivity.

Discussion on the philosophical and practical implications of AI on personal effort, achievement, and identity in educational contexts.
Recognition that educational institutions grapple with reconceptualizing their roles and the nature of learning.
The importance of addressing the human experiences behind learning and writing:
- Engagement with themes of authenticity, self-expression, and the evolution of academic standards in a rapidly changing digital landscape.

Potential for deterioration in writing quality as A.I. becomes more embedded.
Philosophical contemplation on whether A.I. will evolve education positively or lead to a decline in original thought and literature analysis.
Calls to reconsider what skills are valuable in the A.I. age, emphasizing the importance of authentic voice and personal definition in learning environments.