
Supplementary Material for the Teaching Practice Using ChatGPT in Higher Education. ChatGPT is an Artificial Intelligence (AI) chatbot platform developed by OpenAI. Some studies have identified the advantages and disadvantages of using ChatGPT in teaching and knowledge generation in higher education. To identify proposals for using ChatGPT to improve learning and knowledge production in the field of computer science; to identify how ChatGPT is currently being used by professors in the computer science field in the context of learning and knowledge production; and to identify the advantages and disadvantages of using ChatGPT, proposing actions to mitigate them. We have conducted a survey with 86 professors in the Computer Science field in Brazil to collect their perceptions regarding the use of ChatGPT. Our findings reveal that professors in the computer science field are using ChatGPT in content generation and production of teaching material to be used in the classroom, such as practical exercises, slides, assignments, and tests. They also consider that ChatGPT can be used as a mediator of learning, facilitating interaction between students and professors. In the context of knowledge production, professors already use ChatGPT to support the writing of research or articles and to perform automatic summaries. However, according to professors' perceptions, the biggest problem with ChatGPT is that it does not provide bibliographic references for the content provided in queries. This repository contains the following files: survey questions, participant responses, and code in R.
Supplementary Material for Teaching Practice Using ChatGPT in Higher Education
ChatGPT, Teaching in Higher Education, Knowledge Sharing
ChatGPT, Teaching in Higher Education, Knowledge Sharing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
