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January 22, 2026Education Sciences0 citationsOpen Access

Improving Learning Outcomes in Microcontroller Courses Using an Integrated STM32 Educational Laboratory: A Quasi-Experimental Study

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ACAlejandra Cepeda-ArgüellesFGFabián García-VázquezPMPerla C. Miranda-Barreras

Key Points

  • The aim is to evaluate the effectiveness of an integrated STM32 educational laboratory in improving learning outcomes.
  • Conducted a quasi-experimental study with 40 engineering students.
  • Divided students into a control group using traditional STM32 setups and an experimental group using the integrated laboratory.
  • Collected data via pre- and post-tests, laboratory logs, and the Motivated Strategies for Learning Questionnaire Short Form over ten sessions.
  • The experimental group achieved a Hake normalized learning gain of 40.09%, while the control group gained 16.22%.
  • The experimental group completed sessions an average of 27 minutes faster.
  • Significant reductions in hardware- and connection-related errors were noted.
  • Improvements in metacognitive and self-regulated learning scores were also observed.

Abstract

Engineering laboratory courses are essential for developing conceptual understanding and practical skills; however, the time students spend assembling prototypes and troubleshooting wiring issues often reduces opportunities for analysis, programming, and reflective learning. To address this limitation, this study designed and evaluated an integrated STM32-based educational laboratory that consolidates the main peripherals required in a microcontroller course into a single Printed Circuit Board (PCB) platform. A quasi-experimental intervention was implemented with 40 engineering students divided into a control group using traditional STM32 Blue Pill and breadboard connections and an experimental group using the integrated platform. Throughout ten laboratory sessions, data were collected through pre- and post-tests, laboratory logs, and the Motivated Strategies for Learning Questionnaire Short Form (MSLQ-SF). Results showed that the experimental group achieved a Hake normalized learning gain of 40.09% compared with 16.22% in the control group, also showing that it completed the sessions an average of 27 min faster and facilitated a substantial reduction in hardware- and connection-related errors. Significant improvements were also observed in metacognitive and improved motivational and self-regulated learning scores. Overall, the findings indicate that reducing operational barriers in laboratory work enhances both cognitive and motivational learning processes, supporting the adoption of integrated educational hardware to optimize learning outcomes in engineering laboratory courses.

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Cite This Study

Cepeda-Argüelles et al. (2026) studied this question.

synapsesocial.com/papers/6971be8d642b1836717e3301https://doi.org/10.3390/educsci16010157
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