Abstract
This paper advocates using large language models (LLMs) to enhance students' open-ended mathematical problem-solving skills. The literature review reveals that using large language models (LLMs) in educational settings is an emerging field with limited research evidence. Much of the existing literature focuses on the perceptions of educators and other stakeholders and evaluations of LLM model accuracy rather than their potentially transformative impact on educational outcomes or personalised learning in mathematics. This paper reports on the ongoing development of a study to provide such evidence. It presents expected results derived from our preliminary development work, which suggests that teaching students to utilise LLMs like ChatGPT effectively can enhance their critical thinking and analytical skills in mathematical problem-solving. Initial observations and iterative refinements inform these anticipated outcomes during the pilot phase of our research.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.