@inproceedings{5d9aa85aabc84beea1d47442aa259d20,
title = "Recommending Is Reflecting: A Surprising Benefit of Social Recommender Systems for Teachers",
abstract = "Social recommender systems for teachers are based on evaluative feedback that teachers provide regarding learning resources (LRs) they used. These systems can greatly enhance the efficiency of locating quality digital learning resources by teachers. Previous studies on social recommender systems were based on the view that the act of providing feedback has no direct merit for the recommending teacher. We challenge this viewpoint, hypothesizing that writing a review about an LR would necessitate teachers to revisit and critically evaluate their teaching experiences with it, thus promoting reflective thinking. To investigate this hypothesis, we applied a verbal analysis protocol to measure the level of reflective thinking within 394 reviews of LRs provided by teachers. Our findings reveal that writing feedback on LRs indeed promotes reflective thinking, although the depth and content of the reflection are somewhat limited.",
author = "Elad Yacobson and Giora Alexandron",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 19th European Conference on Technology Enhanced Learning, EC-TEL 2024 ; Conference date: 16-09-2024 Through 20-09-2024",
year = "2024",
month = sep,
day = "13",
doi = "10.1007/978-3-031-72312-4_27",
language = "الإنجليزيّة",
isbn = "9783031723117",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media B.V.",
pages = "195--200",
editor = "{Ferreira Mello}, Rafael and Nikol Rummel and Ioana Jivet and Gerti Pishtari and {Ruip{\'e}rez Valiente}, {Jos{\'e} A.}",
booktitle = "Technology Enhanced Learning for Inclusive and Equitable Quality Education",
address = "ألمانيا",
}