Tootfinder

From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
Tong Hu, Songzan Wang
https://arxiv.org/abs/2506.15955

From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
This exploratory case study investigated two contrasting pedagogical approaches for LCA-assisted programming with five novice high school students preparing for a WeChat Mini Program competition. In Phase 1, students used LCAs to generate code from abstract specifications (From-Scratch approach), achieving only 20% MVP completion. In Phase 2, students adapted existing Minimal Functional Units (MFUs), small, functional code examples, using LCAs, achieving 100% MVP completion. Analysis revealed t…

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan
https://arxiv.org/abs/2506.06341

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
With the widespread adoption of online education platforms, an increasing number of students are gaining new knowledge through Massive Open Online Courses (MOOCs). Exercise recommendation have made strides toward improving student learning outcomes. However, existing methods not only struggle with high dropout rates but also fail to match the diverse learning pace of students. They frequently face difficulties in adjusting to inactive students' learning patterns and in accommodating individuali…