Bingcheng Wang

Papers

Total Citations

711

H-Index

About

Bingcheng Wang is a leading researcher at the intersection of artificial intelligence, human-computer interaction, and educational measurement. His most influential work centers on defining and quantifying AI literacy—a critical competency in an increasingly AI-driven world. Wang’s landmark 2022 paper, “Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale,” has garnered over 700 citations, establishing the gold standard for assessing how ordinary users understand and interact with AI technologies. This foundational scale provides researchers and educators with a validated instrument to gauge user readiness, bridging a crucial gap between technical AI development and human capability. Beyond this core contribution, Wang’s research explores how individuals learn to navigate intelligent systems, with implications for curriculum design, workforce training, and inclusive technology adoption. His work has been instrumental in shifting the conversation from AI’s capabilities to the human skills needed to harness them responsibly. By operationalizing AI literacy, Wang has empowered a generation of studies on digital competence, making him a pivotal figure in ensuring that AI advancements translate into meaningful, accessible benefits for all users.