collaborators

5 papers

cs.HC2026

When Does GenAI Use Support Critical Thinking? A Cross-Cultural Structural Account of Transactive Memory with GenAI

Mahir Akgun, Sacip Toker

Whether generative AI (GenAI) use helps or hinders critical thinking remains contested, and existing accounts emphasize exposure to the tool rather than how a person structures the…

cs.HC2026

Why Machines Misread Pedagogical Quality: Human-Machine Alignment in LLM-Based Pretest Question Evaluation

Pei-Yu Tseng, Mahir Akgun, Peng Liu

Designing effective pretest questions is challenging at scale: high-quality questions require careful calibration of openness, cognitive depth, and alignment with learning objectiv…

cs.CY2026

Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a Retention Study

Mahir Akgun, Sacip Toker

Pretesting - attempting problems before instruction - supports learning by activating prior knowledge and sharpening attention to subsequent instruction. Recent work suggests that…

cs.HC2026

Shaping Credibility Judgments in Human-GenAI Partnership via Weaker LLMs: A Transactive Memory Perspective on AI Literacy

Md Touhidul Islam, Mahir Akgun, Syed Billah

Generative AI (GenAI) is increasingly used as a knowledge partner in higher education, raising the need for instructional designs that emphasize AI literacy practices such as evalu…

cs.CY2025

Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention

Mahir Akgun, Sacip Toker

The rise of Generative AI (GenAI) tools, such as ChatGPT, has transformed how students access and engage with information, raising questions about their impact on learning outcomes…