In the age of generative AI, the academic world is obsessed with the output—the polished essay, the instant summary, the hallucinated citation. But as information professionals, our value has never been tied to the answer; it has always been rooted in the process.
According to the ACRL Framework for Information Literacy, specifically the Research as Inquiry frame, research is not a straight line from question to answer. It is a discursive practice fueled by open-ended exploration and the pursuit of unexpected puzzles.
The Challenge: Today’s students are increasingly using "Answer Engines" that bypass the most critical stage of intellectual growth: the dispositions of inquiry. When AI provides a singular, authoritative-sounding response, it risks stripping away the intellectual humility and persistence required to navigate ambiguity.
The Pivot for Digital Scholarship Faculty: Our role in 2026 is to move from teaching "how to find" to teaching "how to wonder." If the ACRL Framework tells us that "authority is constructed and contextual," then our instruction must focus on:
- Valuing the Gap: Encouraging students to identify what the AI doesn't know or what it oversimplifies.
- Strategic Exploration: Shifting from keyword matching to understanding the "Information Creation as a Process"—understanding why certain data exists and why some voices are missing.
- Persistence over Efficiency: Reframing "search failure" not as a technical error, but as a standard part of the inquiry cycle.
The Bottom Line: The Search Bar might be evolving into a Prompt Box, but the core of scholarship remains a conversation. By anchoring our pedagogy in the Research as Inquiry frame, we ensure that students don't just become efficient consumers of information, but curious, critical architects of new knowledge.
