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Blended sensory walks : teaching data literacy through anthropological practice
ID
Pretnar Žagar, Ajda
(
Avtor
),
ID
Muršič, Rajko
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(2,52 MB)
MD5: 5DC0F1DD4F08DE1AB9732493C1FB6470
URL - Izvorni URL, za dostop obiščite
https://www.tandfonline.com/doi/full/10.1080/08884552.2026.2635502
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
sensory walking
,
data science
,
image analytics
,
quantitative methods
,
teaching anthropology
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FRI - Fakulteta za računalništvo in informatiko
FF - Filozofska fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2026
Št. strani:
17 str.
Številčenje:
Vol. , no.
PID:
20.500.12556/RUL-180813
UDK:
004:37:39
ISSN pri članku:
0888-4552
DOI:
10.1080/08884552.2026.2635502
COBISS.SI-ID:
271510787
Datum objave v RUL:
17.03.2026
Število ogledov:
306
Število prenosov:
169
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Objavi na:
Gradivo je del revije
Naslov:
Practicing anthropology
Skrajšan naslov:
Pract. anthropol.
Založnik:
Society for Applied Anthropology
ISSN:
0888-4552
COBISS.SI-ID:
521234969
Licence
Licenca:
CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:
Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
senzorni sprehodi
,
podatkovna znanost
,
analiza slik
,
kvantitativne metode
,
poučevanje antropologije
Projekti
Financer:
ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:
P6-0436-2022
Naslov:
Digitalna humanistika: viri, orodja in metode
Financer:
ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:
H6-8292-2022
Naslov:
Novo zamišljanje javnih vrednot v algoritemskih prihodnostih
Financer:
EC - European Commission
Program financ.:
H2020
Številka projekta:
101004509
Naslov:
Collaboration of Humanities And Social Sciences in Europe
Akronim:
CHANSE
Financer:
EC - European Commission
Program financ.:
HE
Številka projekta:
101186647
Naslov:
Centre of Excellence in Artificial Intelligence for Digital Humanities
Akronim:
AI4DH
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