Under «Can ChatGPT pass Glycobiology ? » the authors present and discuss a systematic evaluation of how ChatGPT addresses progressively complex scientific writing tasks and exam-type questions in Carbohydrate Chemistry and Glycobiology.
The results of this project provide insight into 1) the strengths and limitations of the ChatGPT model to provide relevant and (most importantly) correct scientific information and 2) the format(s) and complexity of the query required to obtain the desired output. Ultimately, with the support of practical examples included in this work, the article may inspire educators to successfully integrate ChatGPT in teaching, learning and assessment in higher education.
