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An aspect of the system design that seems profoundly related to trust is transparency, which can be achieved through explainable AI (XAI) approaches. The present study seeks to explore the dynamic nature of teachers\u2019 trust in AI EdTech systems, how it relates to understandability, and XAI\u2019s role in enhancing it. Building upon Hoff and Bashir\u2019s \u2018trust in automation\u2019 model (2015), we propose a theoretical model that connects these factors. We validated the applicability of the proposed model to AI in Education context using a mixed-method, within-subject design that measured understandability, trust, and acceptance of AI recommendations among 41 in-service chemistry teachers. The results showed a significant positive correlation between the three factors, as anticipated by the model, and demonstrated the heterogeneous understandability of different XAI schemes, with domain-driven schemes superior to data-driven ones. In addition, the study reveals two additional factors influencing teachers\u2019 adoption of AI-EdTech: pedagogical perspectives and workload reduction potential. The study provides a theoretical explanation of how different XAI schemes impact trust through understandability. Furthermore, it emphasizes the need for greater attention to XAI, which fosters trust and facilitates the acceptance of AI-EdTech.<\/jats:p>","DOI":"10.1007\/s40593-025-00486-6","type":"journal-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T15:55:02Z","timestamp":1750089302000},"page":"2889-2922","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["The Impact of Explainable AI on Teachers\u2019 Trust and Acceptance of AI EdTech Recommendations: The Power of Domain-specific Explanations"],"prefix":"10.1016","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0456-6664","authenticated-orcid":false,"given":"Yael","family":"Feldman-Maggor","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5843-4854","authenticated-orcid":false,"given":"Mutlu","family":"Cukurova","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5521-8240","authenticated-orcid":false,"given":"Carmel","family":"Kent","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2676-6912","authenticated-orcid":false,"given":"Giora","family":"Alexandron","sequence":"additional","affiliation":[]}],"member":"78","published-online":{"date-parts":[[2025,6,16]]},"reference":[{"key":"486_CR1","doi-asserted-by":"publisher","first-page":"107266","DOI":"10.1016\/j.chb.2022.107266","volume":"132","author":"C Antonietti","year":"2022","unstructured":"Antonietti, C., Cattaneo, A., & Amenduni, F. 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