Using Learning Analytics to Study Novice Learners' Work on Quantum Circuit Simulator Tasks

arXiv:2610.09499 · physics.ed-ph, quant-ph · Submitted 2026-10-07 · Read on arXiv

physics.ed-ph, quant-ph

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 10 pages, 8 figures. Accepted and presented as a technical paper at the Quantum Science and Engineering Education Conference (QSEEC 2026), held in conjunction with IEEE Quantum Week 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 8× in this paper · explained in 1 episode
• Scaffolding — 6× in this paper · explained in 3 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Cognitive Load — 2× in this paper · explained in 2 episodes
• Frustration — 2× in this paper · explained in 2 episodes
• Interactive Material — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Metacognition — 1× in this paper · explained in 5 episodes
• Paper Review — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Quantum Circuits — 1× in this paper · explained in 2 episodes

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