A Cornell University instructor is requiring students to complete an in-class assignment using typewriters to prevent the use of AI-generated text [1].
The move highlights the growing struggle for educators to verify student authorship in the age of generative AI. By removing digital devices from the writing process, the instructor ensures that work is produced in real time without the assistance of large language models.
The assignment takes place at the university's campus in Ithaca, New York [1]. The instructor implements this specific requirement once per semester [1]. The goal is to discourage a reliance on AI-written work, and provide a tangible experience of how writing functioned before the digital era [1, 3].
Beyond preventing cheating, the exercise serves as a lesson on the cognitive process of writing. Students must engage with the physical limitations of a typewriter, a machine that does not offer the instant editing or autocomplete features found in modern software [2, 3].
This approach seeks to teach students about thinking and classroom dynamics as they existed in the pre-digital age [1, 3]. By forcing a slower, more deliberate pace of composition, the instructor aims to reconnect students with the fundamental act of drafting ideas without digital interference [3].
While many institutions are adopting AI-detection software, this method relies on physical observation and analog tools to guarantee academic integrity [1, 2]. The shift back to manual tools represents a growing trend of "analog interventions" in higher education to combat the proliferation of automated content [2].
“The instructor implements this specific requirement once per semester.”
This shift toward analog assessment reflects a broader crisis of trust in academic integrity caused by generative AI. As digital detection tools often produce false positives or fail to keep pace with evolving models, educators are returning to controlled, physical environments to ensure authentic student learning and assessment.
