Genie-on-demand: A custom AI chatbot for enhancing learning performance, self-efficacy, and technology acceptance in occupational health and safety for engineering education
IF 2 3区 工程技术Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Vando Gusti Al Hakim, Nuur Azreen Paiman, Mohamad Haidar Syaifullah Rahman
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引用次数: 0
Abstract
Occupational Health and Safety (OHS) education is essential for preparing engineering students to maintain safety standards and prevent workplace hazards. Traditional learning resources, such as textbooks, can be time-consuming and inadequate for immediate, context-specific queries. Advanced AI chatbots offer interactive and immediate feedback, but they often lack specificity and depend on users' prompting skills, which not all students possess. This study introduces “Genie-on-Demand,” a custom AI chatbot designed to address students' queries with precise, curriculum-aligned responses. Educators can train the chatbot using specific learning materials by uploading PDFs, ensuring relevant and accurate answers. A quasi-experimental study was conducted with 106 electrical engineering students divided into three groups: those using the custom chatbot, those using a conventional chatbot (ChatGPT), and those employing traditional learning methods. Results demonstrated that the custom chatbot significantly improved learning performance, self-efficacy, and technology acceptance compared to other methods. Students reported increased confidence and effectiveness in using the custom chatbot as a learning assistant. This study highlights the potential of customized AI solutions in education, with versatile applications across various disciplines.
期刊介绍:
Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.