Muzhe Wu @muzhew.bsky.social · 12/07/2025🙌This work is done with the amazing team: Haocheng Ren (co-lead), Gregory Croisdale, Anhong Guo (@anhongguo.bsky.social), and Xu Wang (@xuwanghci.bsky.social). 000
Muzhe Wu @muzhew.bsky.social · 12/07/2025Rubikon shows the promises of integrating cognitive tutoring principles with mixed reality interfaces. We aim to extend these concepts to broader physical task domains, enabling enhanced personalized learning. #DIS2025 Paper: arxiv.org/abs/2503.12619 Video: youtu.be/4Jes_0nd3kY 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025In a study with 36 Rubik’s Cube novices, we found that learners using Rubikon achieved 25% higher learning gains than those using a video tutorial and Rubik’s Cube, as Rubikon increased both the quantity and variety of skill practice while reducing the overhead of preparation. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Rubikon interface: Learners perceive a video stream of themselves manipulating the cube, a goal image for the current objective, a skillometer of knowledge mastery, and adaptive functionalities like extended views for hidden faces and hints at different levels of detail. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Rubikon’s core idea is thus to enable quick, targeted practice based on learner weaknesses. Building on cognitive tutor principles and instantiating an AR setup, Rubikon tracks learner progress, assesses skill mastery, and generates new cube configurations for repeated practice. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Why is learning to solve a Rubik’s Cube challenging? Its solution involves multiple stages each with distinct knowledge components. With passive media, novice learners often miss certain cases even after multiple passes yet cannot easily reconfigure the cube to practice them. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Have you ever wanted to learn the Rubik’s Cube but felt overwhelmed by complex solution guides or fast-paced video tutorials? If so, our work—Rubikon, an augmented reality intelligent tutoring system, might be what you need! #DIS2025 131
Muzhe Wu @muzhew.bsky.social · 12/07/2025Rubikon shows the promises of integrating cognitive tutoring principles with mixed reality interfaces. We aim to extend these concepts to broader physical task domains, enabling enhanced personalized learning. #DIS2025 Paper: arxiv.org/abs/2503.12619 Video: youtu.be/4Jes_0nd3kY 010
Muzhe Wu @muzhew.bsky.social · 12/07/2025In a study with 36 Rubik’s Cube novices, we found that learners using Rubikon achieved 25% higher learning gains than those using a video tutorial and Rubik’s Cube, as Rubikon increased both the quantity and variety of skill practice while reducing the overhead of preparation. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Rubikon interface: Learners perceive a video stream of themselves manipulating the cube, a goal image for the current objective, a skillometer of knowledge mastery, and adaptive functionalities like extended views for hidden faces and hints at different levels of detail. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Rubikon’s core idea is thus to enable quick, targeted practice based on learner weaknesses. Building on cognitive tutor principles and instantiating an AR setup, Rubikon tracks learner progress, assesses skill mastery, and generates new cube configurations for repeated practice. 100
Muzhe Wu @muzhew.bsky.social · 12/07/2025Why is learning to solve a Rubik’s Cube challenging? Its solution involves multiple stages each with distinct knowledge components. With passive media, novice learners often miss certain cases even after multiple passes yet cannot easily reconfigure the cube to practice them. 100
