Thai University RankingsRESEARCH RADAR
← Back to research database
งานใหม่ที่น่าจับตา

Forging Industry 4.0 Readiness: A Quasi‐Experimental Study on the Impact of Spreadsheet‐Integrated Automation in First‐Year Engineering Physics Labs

IMPACT SIGNAL73/100
01

Information from the abstract

ABSTRACT The rapid global transformation catalyzed by Industry 4.0 fundamentally necessitates a reconstitution of the engineering skillset, particularly emphasizing digital tool proficiency, systematic problem formulation, and collaborative practice. A persistent and troubling skills gap remains, as traditional introductory physics laboratories, constrained by procedural compliance, routinely fail to cultivate these multidimensional professional competencies during the critical first‐year stage. This study addresses this pressing curricular deficit by rigorously evaluating a novel spreadsheet‐integrated automation framework (SIAF) designed for early curricular intervention. We utilized a quasi‐experimental mixed‐methods design involving 203 first‐year engineering students. Our methodology demonstrates technical depth by integrating ubiquitous spreadsheet software with low‐cost IoT microcontrollers (ESP32) for real‐time data processing and acquisition, thereby simulating authentic industrial workflows. Crucially, the study deployed a validated multi‐dimensional IRR, addressing a persistent methodological deficit in holistic competency assessment. Quantitative analysis confirmed the SIAF's robust efficacy, yielding statistically significant positive improvements across six competency domains. The most substantial gains were registered in domains essential for the digital workplace: spreadsheet skills ( d ≈ 0.65), technical skills ( d ≈ 0.45), and digital/automation literacy ( d ≈ 0.43). Qualitative data revealed that automation successfully reduced extraneous cognitive load, fostering systematic troubleshooting and a strong sense of digital fluency derived from self‐mastery. These results provide compelling empirical support for adopting this replicable, outcome‐based education‐aligned model to transform foundational physics labs. Future research must prioritize longitudinal designs to assess skill transferability.

02

Why this record is monitored

This record has an Impact Signal of 73/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.

Related topics: Experimental Learning in Engineering · Career Development and Diversity · Science Education and Pedagogy

03

Thai researcher and institutional participation

Somkuan Photharin · Wutichai Wongnarat · Suriya Chinwong · Piyanooch Nedkun · WIREKHA KHAMJAN · Chivalrat Masingboon · Nuth Sirirermrux · Keerati Maneesai · Kasetsart University

04

Data limitations

This page is a bibliographic record based on abstract-level information, not a full analysis or quality assessment. Verify the DOI and original article before citation.