Wangping Sun1, Jianchu Yao2, Senior Member Jianchu Yao
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引用次数: 0
Abstract
ABET accreditation is a rigorous and demanding process that requires substantial institutional effort when evaluating engineering and technology programs. This evaluation process comprises numerous intricate and time-consuming steps, often demanding years of prior experience. This study aims to explore the potential of artificial intelligence tools, particularly ChatGPT, in enhancing the efficiency of ABET accreditation preparation. The authors conducted a series of experiments to assess the applicability of this tool across various stages of the ABET accreditation process. These stages included comprehending ABET procedures, assisting in the compilation and editing of ABET documentation, providing proactive suggestions, conducting diagnostic reviews of the due process response, generating action plans to address accreditation deficiencies, and proposing training plans for specific ABET criteria. The outcomes of these preliminary investigations demonstrated that leveraging artificial intelligence tools can significantly enhance the quality and efficiency of ABET accreditation preparation. However, it is crucial to acknowledge that incorporating AI tools in the accreditation process raises concerns about data security, and these considerations must be duly addressed.
期刊介绍:
Journal of Electrical and Electronics Engineering is a scientific interdisciplinary, application-oriented publication that offer to the researchers and to the PhD students the possibility to disseminate their novel and original scientific and research contributions in the field of electrical and electronics engineering. The articles are reviewed by professionals and the selection of the papers is based only on the quality of their content and following the next criteria: the papers presents the research results of the authors, the papers / the content of the papers have not been submitted or published elsewhere, the paper must be written in English, as well as the fact that the papers should include in the reference list papers already published in recent years in the Journal of Electrical and Electronics Engineering that present similar research results. The topics and instructions for authors of this journal can be found to the appropiate sections.