2022
DOI: 10.1111/bjet.13232
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Teachers' trust in AI‐powered educational technology and a professional development program to improve it

Abstract: Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI‐specific misconceptions, myths and fears (e.g., mass unemployment and privacy violations). In recent years, AI has been incorporated increasingly into K‐12 education. However, little research has been conducted on the trust and attitudes of K‐12 teacher… Show more

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Cited by 75 publications
(31 citation statements)
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“…For instance, teachers may be reluctant to accept AI-based data-driven technology recommendations when they contradict their previous knowledge about their students due to their confirmation bias (Nazaretsky et al, 2021 ). However, presenting teachers with some explanations of (i) how data-driven technologies make predictions, particularly compared to the human experts, (ii) how they can complement and give additional strengths to teachers, rather than replacing them, and then (iii) allowing them to discuss this in groups, can indeed reduce some of the biases of teachers, particularly within social sensemaking contexts (Nazaretsky et al, 2022 ). Furthermore, this model recognizes that aspects of social sensemaking can play on emotions as a motivation for debiasing (represented by the addition of emotional strategies , in purple).…”
Section: Discussionmentioning
confidence: 99%
“…For instance, teachers may be reluctant to accept AI-based data-driven technology recommendations when they contradict their previous knowledge about their students due to their confirmation bias (Nazaretsky et al, 2021 ). However, presenting teachers with some explanations of (i) how data-driven technologies make predictions, particularly compared to the human experts, (ii) how they can complement and give additional strengths to teachers, rather than replacing them, and then (iii) allowing them to discuss this in groups, can indeed reduce some of the biases of teachers, particularly within social sensemaking contexts (Nazaretsky et al, 2022 ). Furthermore, this model recognizes that aspects of social sensemaking can play on emotions as a motivation for debiasing (represented by the addition of emotional strategies , in purple).…”
Section: Discussionmentioning
confidence: 99%
“…Teachers may be ill-prepared to face this situation, resulting in (perhaps healthy) distrust with learning technologies. Nazaretsky et al (2022) argue that the key to gaining a teacher's trust is teacher agency: technologies should not restrict teachers to follow specific pedagogical scenarios and should allow teachers modify or override recommendations given by the technology. Moreover, Luckin et al (2022) suggest AI readiness training for educators to be better equipped in leveraging AI to the benefit of learners.…”
Section: Teachers' Beliefs and Learning Technologiesmentioning
confidence: 99%
“…There was also a core of teachers who reported that the effectiveness of CPD was diminished by the demands of normal teaching workloads. Nazaretsky et al (2022) emphasize the importance of increasing teachers' theoretical and practical knowledge about digital technologies in educational settings through CPD. Zimmer and Matthews (2022) develop this point by emphasizing on coaching as one innovative approach to professional development, addressing teachers concerns over staying current with changing technology.…”
Section: Continuous Professional Development (Cpd) In Educationmentioning
confidence: 99%