IP&MC Call for papers

Academic Search and Learning with GenAI: New Agency, New Behavior, and New Ecology (IP&M)

Chang Liu, Peking University Soo Young Rieh, University of Texas at Austin Luanne Sinnamon, University of British Columbia Orland Hoeber, University of Regina Xiaoxuan Song, Nanjing Agricultural University

Generative artificial intelligence (GenAI) is transforming academic search by enabling automated or semi-automated learning environments with conversational and synthesis capabilities. This paradigm shift raises fundamental questions about learner agency, higher-order cognition and metacognition, critical thinking, digital literacy, digital fairness, and academic integrity in GenAI-enhanced academic search. This special track provides a forum for interdisciplinary dialogue among researchers in information behavior, interactive information retrieval, learning science, and human‑centred AI. We seek contributions that advance theoretical models, empirical studies, and system designs that place the human at the centre of GenAI‑enhanced academic search.

We welcome submissions on the following topics, including but not limited to:

• Agency and cognitive models of academic searchers using GenAI tools (stand-alone or embedded within academic search platforms)

• GenAI-enhanced academic search systems

• Impact of GenAI on academic search and learning processes

• Search as Learning in human-AI collaborative contexts

• Supporting critical and creative thinking using GenAI-enhanced academic search

• Information behavior in GenAI-assisted academic search

• Evaluation and metrics for human-AI collaborative search

• Literacy cultivation for GenAI-assisted academic search

• Ethical frameworks for responsible GenAI-assisted academic search

• Tools and methods for information quality assessment in GenAI-assisted academic search

• GenAI scaffolding for metacognition in the context of academic search