20.500.12556/RUL-180813 Blended sensory walks teaching data literacy through anthropological practice anthropology curricula often neglect quantitative and computational methods, leavingstudents underprepared for data-rich research. yet ethnographic practices such as sensorywalks naturally generate digital materials suited for computational analysis. We developed ablended intervention that combines sensory walks with image clustering, introducing datascience while preserving anthropology’s experiential and interpretive focus. Participants usedsmartphones to document sensory impressions during 30–45-minute walks, creating smallpersonal datasets. Images were embedded and clustered with hierarchical clustering. Testedin four workshops with groups ranging from primary school pupils to postgraduate students,the results were explored interactively, interpreted qualitatively, and discussed collectively,linking algorithmic outputs with ethnographic reflection. The activity produced three mainoutcomes. First, clustering highlighted thematic patterns in images, such as contrasts betweenurban and natural motifs. second, participants gained accessible exposure to embeddings,clustering, and exploratory analysis, building data literacy. Third, the exercise prompted criticalreflection on algorithmic methods, raising questions of trust, interpretability, and limits.Participants also reported greater sensory awareness of their surroundings. This approach shows how computational methods can be integrated into anthropology without sacrificinginterpretive depth. Its simplicity, adaptability, and low cost make it a scalable model for teaching and research. sensory walking data science image analytics quantitative methods teaching anthropology senzorni sprehodi podatkovna znanost analiza slik kvantitativne metode poučevanje antropologije true false false Angleški jezik Slovenski jezik Članek v reviji 2026-03-17 10:10:56 2026-03-17 10:10:58 2026-03-20 03:37:56 0000-00-00 00:00:00 2026 0 0 17 str. no. Vol. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004:37:39 0888-4552 10.1080/08884552.2026.2635502 271510787 RAZ_Pretnar_Zagar_Ajda_2026.pdf RAZ_Pretnar_Zagar_Ajda_2026.pdf 1 5DC0F1DD4F08DE1AB9732493C1FB6470 7e58c22e19f4620fdd89db7d4787a6bd688b0734d0c85457b12fb75276901b55 0fded020-21e6-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=230672 https://www.tandfonline.com/doi/full/10.1080/08884552.2026.2635502 1 28218ccd-21e1-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=230670 Fakulteta za računalništvo in informatiko Filozofska fakulteta 0 0 0