Year: 2024
Type: dissertation
Abstract: Recently, people have tested using large language models (LLM) such as ChatGPT in education. Studies and tests have been done to see where and how LLMs can be used in education, for example, when generating learning material. However, most studies focused on their use in a classroom setting or the students' use of LLMs to learn outside the classroom. But education reaches outside the school. One example of this is Mattecoach.se, where teacher students help students in primary and secondary school in Sweden with problems regarding their mathematics education. The Department of Digital Learning at KTH hasdeveloped an LLM prototype to help the math coaches at Mattecoach.se with their work. This study aimed to evaluate this LLM and discuss what can be done with it in the future. This was done by testing the LLM and ChatGPT on math coaches by having them act as math coaches and students to simulate a conversation while using an LLM tool to help them. The study showed that if the LLM used when teaching or coaching a student in mathematics does not have good mathematical capabilities it is likely to accept incorrect answers as correct from the student and give the student the wrong answers. As such, if an LLM is to be used to teach a student, it needs to either have excellent mathematical capabilities to be able to teach a student reliably or it needs to be able to teach without doing any calculations.
Author: Karlström, Kristin
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6981797931