2024
DOI: 10.1007/s10639-023-12405-0
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How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey

Matt Bower,
Jodie Torrington,
Jennifer W. M. Lai
et al.

Abstract: There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on the Education field, but little examination at scale of how educators believe teaching and assessment should change as a result of generative AI. This mixed methods study examines the views of educators (n = 318) from a diverse range of teaching levels, experience levels, discipline areas, and regions about the impact of AI on teaching and assessment, the ways that they believe te… Show more

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Cited by 11 publications
(5 citation statements)
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“…To effectively integrate GenAI into their teaching practices, pre-service teachers-as future educators-need to take into account their viewpoints and expectations. Nevertheless, there remains a dearth of adequate empirical investigation delving into their perspectives on GenAI tools [36]. In order to deliver effective professional learning that reinforces pre-service teachers' belief systems, the aim of this study was to investigate the factors that influence their perspectives and willingness to use GenAI through a quantitative analysis.…”
Section: Literature Review 21 Ai and Generative Ai In Educationmentioning
confidence: 99%
See 1 more Smart Citation
“…To effectively integrate GenAI into their teaching practices, pre-service teachers-as future educators-need to take into account their viewpoints and expectations. Nevertheless, there remains a dearth of adequate empirical investigation delving into their perspectives on GenAI tools [36]. In order to deliver effective professional learning that reinforces pre-service teachers' belief systems, the aim of this study was to investigate the factors that influence their perspectives and willingness to use GenAI through a quantitative analysis.…”
Section: Literature Review 21 Ai and Generative Ai In Educationmentioning
confidence: 99%
“…Additionally, this research did not encompass the examination of moderating factors, like demographic elements such as age, gender, and experience. According to Bower, Torrington, Lai, Petocz, and Alfano [36], the behavioral intention of utilizing technologies may vary based on factors such as teaching experience, teaching level, subject area, region, and gender. Future studies are encouraged to delve into these aspects and investigate how these demographic variables may moderate the relationships between predictors and individuals' behavioral intentions to use GenAI technology, thus helping tailor more inclusive and effective educational technologies and strategies.…”
Section: Limitations and Suggestionsmentioning
confidence: 99%
“…[69] 2024 The applications of Artificial Intelligence in Education have emerged as useful assets for educators, exhibiting a notable influence on a variety of aspects of teaching and learning. The use of these technologies has the potential to improve pedagogical decision making as well as instructional methods [15,[79][80][81]. The effective synergy between educators and AI tools results in several benefits, one of which is the capability to compare the decisions made by teachers with the resources provided by AI [10,15,82].…”
Section: Title Yearmentioning
confidence: 99%
“…Many AI tools such as Intelligent Tutoring Systems can help not only students but also instructors. It offers interfaces for teachers, often based on open learner models, showcasing individual or group learning progress [10,79]. However, challenges arise as these interfaces may not provide real-time insights into students' interactions with ITS, potentially hindering timely support from teachers [10,59].…”
Section: Title Yearmentioning
confidence: 99%
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