3 citations · 4 across the 5 of their papers we have counts for
5 papers
Computational Thinking Development in AI Agent Creation_A Mixed-Methods Study
Yimeng Sun, Haiyang Xin, Qiannan Niu +3
This mixed-methods study examined computational thinking (CT) development among 93 pre-high school students in a five-day AI agent creation workshop using CocoFlow, a no-code platf…
Modeling AI-TPACK in Practice Insights from Teachers Multi-Agent Workflow Design
Yimeng Sun, Haiyang Xin, Shuang Li +4
This study investigates teachers design behaviors and cognitive underpinnings when designing multi-agent instructional workflows. Analyzing behavioral logs (N=61), cluster and Mark…
An Activity-Theoretical Approach to Teacher Professional Development in Pedagogical AI Agent Design
Haiyang Xin, Qiannan Niu, Shuang Li +4
This two-cycle formative intervention study examined why teachers disengage from AI agent creation after professional development - a low engagement paradox - and tested whether sy…
MIRACLE_Multi-Agent Intelligent Regulation to Advance Collaborative Learning Environment
Shuang Li, Haiyang Xin, Yimeng Sun +4
Effective collaboration requires Socially Shared Regulation (SSRL), but students often lack these skills. This study introduces the MIRACLE (Multi-Agent Intelligent Regulation to A…
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames
Alyssa Smith, David Assefa Tofu, Mona Jalal +7
When journalists cover a news story, they can cover the story from multiple angles or perspectives. A news article written about COVID-19 for example, might focus on personal preve…