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Naslov:Latent class analysis of student attitudes and performance in online mathematics assessments : a Technology Acceptance Model approach
Avtorji:ID Doz, Daniel (Avtor)
ID Dogbalou, Motognon Wastalas d’Assise (Avtor)
ID Juma, Zevick Otieno (Avtor)
ID Lewanski, Danilo (Avtor)
Datoteke:.pdf RAZ_Doz_Daniel_2026.pdf (2,75 MB)
MD5: 8568E391A4F88705670CA636440A586F
 
URL https://www.tandfonline.com/doi/full/10.1080/0020739X.2025.2502859
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:PEF - Pedagoška fakulteta
Opis:In recent years, many institutions have transitioned from traditional pen-and-paper mathematics examinations to online assessments. One such system gaining popularity is STACK, which provides students with immediate feedback and supports teaching, learning, and assessment. Although literature suggests students generally have positive attitudes towards STACK, the relationship between these attitudes and final examination performance remains underexplored. This study analysed responses from 115 Italian biotechnology undergraduates about their beliefs regarding STACK, collected before and after their mathematics examination. Using Latent Class Analysis, two distinct student groups emerged based on their attitudes. Class 1, which held more positive attitudes both before and after the exam, achieved higher final scores than Class 2. The Technology Acceptance Model helped interpret the findings, showing that perceived usefulness and ease of use influence attitudes. A significant sex effect was observed: males were predominantly in Class 1 and showed more positive attitudes, while females were more evenly distributed between both classes. Thus, while males showed more positive attitudes on average, this was due to their higher representation in the positive-attitude group rather than a direct comparison. These findings support the potential of STACK and highlight the importance of wider institutional adoption to familiarise students with online assessments.
Ključne besede:assessment, INVALSI, biotechnology, latent class analysis, mathematics, online, STACK, Technology Acceptance Model
Datum objave:04.06.2025
Leto izida:2026
Št. strani:str. 944-966
Številčenje:Vol. 57, no. 5
PID:20.500.12556/RUP-23582 Povezava se odpre v novem oknu
UDK:37.091.26:51
ISSN pri članku:1464-5211
DOI:10.1080/0020739X.2025.2502859 Povezava se odpre v novem oknu
COBISS.SI-ID:238308611 Povezava se odpre v novem oknu
Datum objave v RUP:10.09.2026
Število ogledov:43
Število prenosov:2
Metapodatki:XML DC-XML DC-RDF
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:International journal of mathematical education in science and technology
Skrajšan naslov:Int. j. math. educ. sci. technol.
Založnik:Taylor & Francis
ISSN:1464-5211
COBISS.SI-ID:520744473 Povezava se odpre v novem oknu

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:preverjanje, biotehnologije, matematika, spletno ocenjevanje, STACK, TAM


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