Abstract
In vocational education, cultivating students’ ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is generally responsible for several dozen students, it becomes challenging for the teacher to adequately address each student’s questions and individual needs. Therefore, this study proposed the robot teaching assistant-supported learning (RTAL) mode following the BSFE model to cope with this problem. This investigation assessed its efficacy through an experiment within an Acute Asthma Attack curriculum. The research involved 103 nursing students in their third year from two distinct classes at a vocational university. Fifty-three students from a class constituted the experimental group that implemented the RTAL approach, whereas the other class, comprising 50 students, was the control group utilizing the standard technology-supported learning (CTL) approach. Findings indicated that the experimental group surpassed the control group in various aspects, including learning outcomes, learning attitudes, problem-solving tedencies, critical thinking awareness, acceptance of technology, and satisfaction with the learning experience. The interview findings also revealed that the RTAL mode could cater to individualized learning needs, facilitate interaction, and serve as an auxiliary instructional tool.
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Funding
This study is supported in part by the National Science and Technology Council of Taiwan under contract numbers NSTC 112-2410-H-011-012-MY3 and MOST 111-2410-H-011 -007 -MY3. The study is also supported by the “Empower Vocational Education Research Center” of National Taiwan University of Science and Technology (NTUST) from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.
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The authors contributed to the conceptualization and design of the study. Material preparation, data collection, analysis, project management and methodology were performed by Chun-Chun Chang. Methodology and supervision were performed Gwo-Jen Hwang.
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Chang, CC., Hwang, GJ. A Robot-assisted real case-handling approach to improving students’ learning performances in vocational training. Educ Inf Technol (2024). https://doi.org/10.1007/s10639-024-12778-w
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DOI: https://doi.org/10.1007/s10639-024-12778-w