To teach in the time of ChatGPT is to know pain
A college instructor describes the widespread, demoralizing challenge of student LLM use as an unprecedented crisis for teaching and learning.
A college instructor describes the widespread, demoralizing challenge of student LLM use as an unprecedented crisis for teaching and learning. | Contesto: cronaca
Punti chiave
- To teach in the time of ChatGPT is to know pain
Contesto
For a growing number of college instructors, the most profound and demoralizing challenge they face is no longer budget cuts, large class sizes, or even pandemic-era disruptions, but the pervasive use of Large Language Models by their students. This sentiment, voiced by an educator writing under the title "To teach in the time of ChatGPT is to know pain," captures a crisis of confidence and practice spreading through higher education. The instructor describes the phenomenon not as a minor nuisance but as the single most disheartening problem encountered in their career, signaling a fundamental shift in the student-instructor dynamic and the very nature of academic work. The core of the issue lies in the erosion of a foundational educational contract. Traditional assignments, from reflective essays to analytical responses, were designed to develop a student's unique voice, critical thinking, and mastery of material. Now, instructors report receiving submissions that are syntactically polished but substantively hollow, lacking the personal perspective or specific understanding expected from an individual learner. This creates a pervasive atmosphere of suspicion, forcing educators to become detectives, scrutinizing writing styles and probing for knowledge a student may not actually possess, rather than focusing on their primary role as mentors and guides. This dynamic inflicts a distinct form of professional pain. The instructor's lament points to a deep sense of futility and alienation. The labor of crafting meaningful prompts, providing detailed feedback, and engaging with student ideas feels devalued when the submitted work may originate from an opaque algorithmic process. It undermines the intrinsic rewards of teaching—witnessing intellectual growth and the formation of original thought. Furthermore, it places an immense logistical and emotional burden on faculty, who must navigate accusations of unfairness, develop new detection strategies, and redesign curricula, often without institutional support or clear ethical guidelines. The crisis extends beyond individual classrooms to question the purpose and integrity of a college degree. If core competencies in...
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Categoria: cronaca