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Using pedagogical resources produced by them as a trace of their enacted Pedagogical Content Knowledge (ePCK), we perform Textual Data Analysis and Clustering to discover the topics they write about. Focusing on resources in educational robotics, we show that lexicon used by teachers is different depending on the robot they use. Reinert\u2019s clustering associates each robot with a separate cluster and a specific vocabulary. Multiple Correspondence Analysis (MCA) shows an opposition between lexicon found in resources using event-driven robots (Thymio and Ozobot) and in resources using sequential robots (Beebot and Bluebot). Event-driven robots tend to be more related with events and behavior notions, as sequential robots tend to be more related with first manipulations of an object and programming notions.<\/jats:p>","DOI":"10.1007\/978-3-031-44900-0_10","type":"book-chapter","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T05:01:31Z","timestamp":1696050091000},"page":"126-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Teachers\u2019 Knowledge in\u00a0Informatics\u2014Exploring Educational Robotics Resources Through the\u00a0Lens of\u00a0Textual Data Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8921-5459","authenticated-orcid":false,"given":"Gabriel","family":"Parriaux","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1571-0630","authenticated-orcid":false,"given":"Christophe","family":"Reffay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1674-1298","authenticated-orcid":false,"given":"B\u00e9atrice","family":"Drot-Delange","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehdi","family":"Khaneboubi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"issue":"2","key":"10_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3390\/computation8020030","volume":"8","author":"J Aguilar","year":"2020","unstructured":"Aguilar, J., Salazar, C., Velasco, H., Monsalve-Pulido, J., Montoya, E.: Comparison and evaluation of different methods for the feature extraction from educational contents. 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