TY - GEN
T1 - Recommending Is Reflecting
T2 - 19th European Conference on Technology Enhanced Learning, EC-TEL 2024
AU - Yacobson, Elad
AU - Alexandron, Giora
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/13
Y1 - 2024/9/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85205324012&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-031-72312-4_27
DO - https://doi.org/10.1007/978-3-031-72312-4_27
M3 - منشور من مؤتمر
SN - 9783031723117
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 195
EP - 200
BT - Technology Enhanced Learning for Inclusive and Equitable Quality Education
A2 - Ferreira Mello, Rafael
A2 - Rummel, Nikol
A2 - Jivet, Ioana
A2 - Pishtari, Gerti
A2 - Ruipérez Valiente, José A.
PB - Springer Science and Business Media B.V.
Y2 - 16 September 2024 through 20 September 2024
ER -