42 citations · 61 across the 6 of their papers we have counts for
6 papers
Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education
Anjali Singh, Christopher Brooks, Warren Li +2
Generating hints for incorrect code is a cognitively demanding task that fosters learning and metacognitive development. This study investigates three designs for personalized, sca…
Lessons from Real-World Deployment of a Cognition-Preserving Writing Tool: Students Actively Engage with Critical Thinking and Planning Affordances
Yinuo Yang, Zheng Zhang, Ningzhi Tang +5
AI-supported writing tools show strong potential for scaffolding students' learning of argumentative writing. Prior work has demonstrated the benefits of AI-supported cognitive sca…
Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions
Xinying Hou, Zihan Wu, Xu Wang +1
As generative AI products could generate code and assist students with programming learning seamlessly, integrating AI into programming education contexts has driven much attention…
Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing
Xinying Hou, Barbara J. Ericson, Xu Wang
Novice programmers need to write basic code as part of the learning process, but they often face difficulties. To assist struggling students, we recently implemented personalized P…
CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming
Xinying Hou, Zihan Wu, Xu Wang +1
Learning to program can be challenging, and providing high-quality and timely support at scale is hard. Generative AI and its products, like ChatGPT, can create a solution for most…
Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels
Xinying Hou, Barbara J. Ericson, Xu Wang
Introductory programming courses aim to teach students to write code independently. However, transitioning from studying worked examples to generating their own code is often diffi…