Publications

2026

1. Education and Information Technologies

   The Discerning Principal: What Prompting-Uptake Behaviors Characterize High Performers in Human-AI Collaboration?

   Hui Liu, Y. Xu, Beichen Hu, and 1 more author

   Education and Information Technologies, 2026

   Under Review

   Abs PDF

   As Generative AI (GAI) reshapes learning, exploring interaction behaviors is crucial for enhancing human-AI collaboration. This study uses Random Forest analysis to examine the behaviors of high vs. low performers (n=24) in an innovative instructional design task[cite: 10, 11, 56, 57]. Results characterize high performers as "discerning principals" with five core traits: intentionality, expertise-based judgment, strategic rejection, reflective adaptation, and systemic orchestration. These findings provide pedagogical insights for restructuring human-AI interaction frameworks[cite: 57].

2025

1. Shanghai Ed

   Intelligence Amplification: Cultivating Deep Thinking in the AI Era

   Beichen Hu and Hui Liu

   Shanghai Education: Global Education, Dec 2025

   Abs PDF

   Intelligence Amplification (IA) emphasizes AI as an amplifier of human thought rather than a replacement[cite: 162, 169]. This paper explores how educators can integrate AI into classrooms to foster deep thinking through four practical paths: co-creating human-AI ethical standards, promoting lateral reading for source literacy, designing "AI-empowered" high-order assignments, and building an "evaluation-feedback-optimization" loop[cite: 162, 169, 174, 226].