A QR-Enabled Multi-Participant Quiz System for Educational Settings with Configurable Timing

An integrated QR-based identification and multi-participant quiz system is developed for classroom and competition scenarios. It reduces the check-in latency, removes fixed buzz-in timing, and lifts hardware-imposed limits on the participant count. On the software side, a MATLAB-R2022b-based module integrates the generation and recognition of linear barcodes and QR Codes, enabling fast, accurate acquisition of contestant information while reducing the latency and error risk of manual entry. On the hardware side, control circuits for compulsory and buzz-in modules are designed and simulated in Multisim-14.3. To accommodate diverse scenarios, the team-versus-team buzz-in mode is extended to support two- or three-member teams. Functional tests demonstrate the stable display of key states—including contestant identity, buzz-in priority group ID, and response duration. Compared with typical MCU-channel-based designs, the proposed system relaxes hardware-channel constraints, decoupling the participant count from fixed input channels. It also overcomes fixed-timing limitations by supporting scenario-dependent configuration. The Participant Information Registration subsystem achieved a mean accuracy of 86.7% and a mean per-sample computation time of 14 ms. The 0–99 s configurable timing aligns with question difficulty and instructional procedures. It enhances fairness, adaptability, and usability in formative assessments and competition-based learning.

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Publication Details

Journal
Applied System Innovation
Published
2025-10-22
DOI
https://doi.org/10.3390/asi8060158
Primary Topic
QR Code Applications and Technologies
Type
article
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article

A QR-Enabled Multi-Participant Quiz System for Educational Settings with Configurable Timing

Yuan Diao, Junjie Li, Boqi Kang, Xiaoming Yang et al.
Applied System Innovation
QR Code Applications and Technologies
article

A QR-Enabled Multi-Participant Quiz System for Educational Settings with Configurable Timing

Yuan Diao, Junjie Li, Boqi Kang, Xiaoming Yang, Tianji Zou, Wenyuan Bian
article en

Abstract

An integrated QR-based identification and multi-participant quiz system is developed for classroom and competition scenarios. It reduces the check-in latency, removes fixed buzz-in timing, and lifts hardware-imposed limits on the participant count. On the software side, a MATLAB-R2022b-based module integrates the generation and recognition of linear barcodes and QR Codes, enabling fast, accurate acquisition of contestant information while reducing the latency and error risk of manual entry. On the hardware side, control circuits for compulsory and buzz-in modules are designed and simulated in Multisim-14.3. To accommodate diverse scenarios, the team-versus-team buzz-in mode is extended to support two- or three-member teams. Functional tests demonstrate the stable display of key states—including contestant identity, buzz-in priority group ID, and response duration. Compared with typical MCU-channel-based designs, the proposed system relaxes hardware-channel constraints, decoupling the participant count from fixed input channels. It also overcomes fixed-timing limitations by supporting scenario-dependent configuration. The Participant Information Registration subsystem achieved a mean accuracy of 86.7% and a mean per-sample computation time of 14 ms. The 0–99 s configurable timing aligns with question difficulty and instructional procedures. It enhances fairness, adaptability, and usability in formative assessments and competition-based learning.

Applied System InnovationVol. 8(6)
Chinese Academy of Sciences (CN), Technology and Engineering Center for Space Utilization (CN), Lanzhou City University (CN), University of Chinese Academy of Sciences (CN), Lanzhou University (CN)
Openalex Percentile: Top 56%
QR Code Applications and Technologies
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A QR-Enabled Multi-Participant Quiz System for Educational Settings with Configurable Timing — Yuan Diao, Junjie Li, et al. · Applied System Innovation (2025) | TGRS Research Map | TGRS