Leveraging Generative AI for Sustainable Academic Advising: Enhancing Educational Practices through AI-Driven Recommendations

被引:0
|
作者
Iatrellis, Omiros [1 ]
Samaras, Nicholas [1 ]
Kokkinos, Konstantinos [1 ]
Panagiotakopoulos, Theodor [2 ,3 ]
机构
[1] Univ Thessaly, Dept Digital Syst, Larisa 41500, Greece
[2] Hellen Open Univ, Sch Sci & Technol, Patras 26335, Greece
[3] Univ Nicosia, Business Sch, CY-2417 Nicosia, Cyprus
关键词
academic advising; generative AI; educational technology; sustainable educational practices;
D O I
10.3390/su16177829
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study explores the integration of ChatGPT, a generative AI tool, into academic advising systems, aiming to assess its efficacy compared to traditional human-generated advisories. Conducted within the INVEST European University, which emphasizes sustainable and innovative educational practices, this research leverages AI to demonstrate its potential in enhancing sustainability within the context of academic advising. By providing ChatGPT with scenarios from academic advising, we evaluated the AI-generated recommendations against traditional advisories across multiple dimensions, including acceptance, clarity, practicality, impact, and relevance, in real academic settings. Five academic advisors reviewed recommendations across diverse advising scenarios such as pursuing certifications, selecting bachelor dissertation topics, enrolling in micro-credential programs, and securing internships. AI-generated recommendations provided unique insights and were considered highly relevant and understandable, although they received moderate scores in acceptance and practicality. This study demonstrates that while AI does not replace human judgment, it can reduce administrative burdens, significantly enhance the decision-making process in academic advising, and provide a foundation for a new framework that improves the efficacy and sustainability of academic advising practices.
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页数:16
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