Key points are not available for this paper at this time.
ChatGPT, a generative AI platform, provides additional options for students to participate in science and engineering practices during engineering design challenges. We present practical strategies for utilizing ChatGPT as a tool to actively involve students in achieving three science and engineering practices outcomes. They are: asking questions and defining problems, planning and carrying out investigations, and analyzing and interpreting data. Students can use closed- and open-ended questions in ChatGPT to engage in the "asking questions and defining problems" outcome. For example, the on-demand dialogue can explain the problem and its phenomena, offering improved accessibility of content. We provide sample sentence starters to guide students in formulating questions by outcome. ChatGPT also supports the "planning and carrying out investigations" outcome. It extends opportunities to brainstorm possible experiments and to showcase potential outcomes from these hypothetical experiments. Finally, ChatGPT reveals new possibilities in the "analyzing and interpreting data" outcome. It can analyze data quantitatively and qualitatively and offer suggestions following data analysis. You can elevate your students to new "bytes" by generating new opportunities during engineering design challenges through ChatGPT!
Kipp et al. (2024) studied this question.