Reproduce “The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.