Details

Blended sensory walks : teaching data literacy through anthropological practice
ID Pretnar Žagar, Ajda (Author), ID Muršič, Rajko (Author)

.pdfPDF - Presentation file, Download (2,52 MB)
MD5: 5DC0F1DD4F08DE1AB9732493C1FB6470
URLURL - Source URL, Visit https://www.tandfonline.com/doi/full/10.1080/08884552.2026.2635502 This link opens in a new window

Abstract
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.

Language:English
Keywords:sensory walking, data science, image analytics, quantitative methods, teaching anthropology
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
FF - Faculty of Arts
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:17 str.
Numbering:Vol. , no.
PID:20.500.12556/RUL-180813 This link opens in a new window
UDC:004:37:39
ISSN on article:0888-4552
DOI:10.1080/08884552.2026.2635502 This link opens in a new window
COBISS.SI-ID:271510787 This link opens in a new window
Publication date in RUL:17.03.2026
Views:300
Downloads:169
Metadata:XML DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Practicing anthropology
Shortened title:Pract. anthropol.
Publisher:Society for Applied Anthropology
ISSN:0888-4552
COBISS.SI-ID:521234969 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:senzorni sprehodi, podatkovna znanost, analiza slik, kvantitativne metode, poučevanje antropologije

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P6-0436-2022
Name:Digitalna humanistika: viri, orodja in metode

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:H6-8292-2022
Name:Novo zamišljanje javnih vrednot v algoritemskih prihodnostih

Funder:EC - European Commission
Funding programme:H2020
Project number:101004509
Name:Collaboration of Humanities And Social Sciences in Europe
Acronym:CHANSE

Funder:EC - European Commission
Funding programme:HE
Project number:101186647
Name:Centre of Excellence in Artificial Intelligence for Digital Humanities
Acronym:AI4DH

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back