Attitudes of Prospective Teachers on Implementation of AI

The article presents data from a survey of the attitudes towards working with intelligent programs based on large linguistic models (LLM) among 218 students and specialists – future teachers educated at Shumen University. The survey was conducted within various disciplines and students were encouraged to use chatbots in the preparation of coursework, didactic materials, presentations, solving and composing tasks. Despite the presence of certain experience in working with a chatbot among some of the respondents, the survey was conducted in two stages. In the first stage, the survey was asked directly to the students. It was followed by a brief presentation of some possibilities for working with a chatbot. We mainly used ChatGPT for demo. A demonstration was made with examples typical for the relevant discipline. Pedagogically oriented projects were assigned for independent implementation with ChatGPT. When the majority of students gained experience using the chatbot to handle didactic tasks, the second survey was conducted. There were also final discussions in the individual groups about the possibilities and the place of the LLM in the work of the teacher and the student. The results show positive attitudes towards the implementation of artificial intelligence approaches and tools, both in the students’ self-training and in the teacher’s work. The received responses and shared ideas show that future teachers are responsible, ethical and critical in implementing learning innovations. We clarify the necessity of supplementing current academic disciplines with activities aimed at responsible application of LLM-based programs, both for self-training and for the creation of didactic materials for practical classes in schools and kindergartens.

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Publication Details

Journal
Mathematics and Informatics
Published
2024-08-30
DOI
https://doi.org/10.53656/math2024-4-5-att
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
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article

Attitudes of Prospective Teachers on Implementation of AI

Nataliya Pavlova
Mathematics and Informatics
Online Learning and Analytics
article

Attitudes of Prospective Teachers on Implementation of AI

Nataliya Pavlova
article en

Abstract

The article presents data from a survey of the attitudes towards working with intelligent programs based on large linguistic models (LLM) among 218 students and specialists – future teachers educated at Shumen University. The survey was conducted within various disciplines and students were encouraged to use chatbots in the preparation of coursework, didactic materials, presentations, solving and composing tasks. Despite the presence of certain experience in working with a chatbot among some of the respondents, the survey was conducted in two stages. In the first stage, the survey was asked directly to the students. It was followed by a brief presentation of some possibilities for working with a chatbot. We mainly used ChatGPT for demo. A demonstration was made with examples typical for the relevant discipline. Pedagogically oriented projects were assigned for independent implementation with ChatGPT. When the majority of students gained experience using the chatbot to handle didactic tasks, the second survey was conducted. There were also final discussions in the individual groups about the possibilities and the place of the LLM in the work of the teacher and the student. The results show positive attitudes towards the implementation of artificial intelligence approaches and tools, both in the students’ self-training and in the teacher’s work. The received responses and shared ideas show that future teachers are responsible, ethical and critical in implementing learning innovations. We clarify the necessity of supplementing current academic disciplines with activities aimed at responsible application of LLM-based programs, both for self-training and for the creation of didactic materials for practical classes in schools and kindergartens.

Mathematics and InformaticsVol. 67(4)
Openalex Percentile: Top 68%
Online Learning and Analytics
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