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Title:The Role of AI, Blockchain, Cloud, and Data (ABCD) in Enhancing Learning Assessments of College Students
Authors:ID Rodriguez, Joel Mark (Author)
ID Austria, Genesis (Author)
ID Millar, Glen (Author)
Files:URL https://toknowpress.net/submission/index.php/ijmkl/article/download/196/133
 
.pdf RAZ_Rodriguez_Joel_Mark_0.pdf (2,22 MB)
MD5: 9D927960AAA2EAA7B1F7B1E841438FDB
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:MFDPŠ - International School for Social and Business Studies
Abstract:Purpose: This study attempts to examine how ABCD (Artificial Intelligence, Blockchain, Cloud, and Data) technologies influence postsecondary learning measurements. It specifically examines students' beliefs, behavior, and action intentions, and how the ABCD technologies impact customized learning, academic integrity, collaboration, and belief in grading. Study design/methodology/approach: A quantitative design was applied with a structured survey distributed to university students. Statistical tests of correlation and regression tests were carried out to test the relationships between Perceived Usefulness (PU), Perceived Ease of Use (PEU), and Behavioral Intention (BI) in the adoption of ABCD technologies. Findings: Results did not imply a strong correlation between Perceived Usefulness, Perceived Ease of Use, and Behavioral Intentions, stating students' adoption of ABCD technologies is less likely to be accounted for by individual factors, i.e., institutional support, infrastructure, and faculty participation. Although students are aware of potential benefits of ABCD technologies in terms of enhancing assessment efficiency and security, concerns over fairness, usability, and engagement remain barriers to greater adoption. Originality/value: The present research adds to the Technology Acceptance Model (TAM) and Constructivist Learning Theory (CLT) by emphasizing the role of context and institutional drivers in the adoption of technology. It presents pragmatic advice to educational institutions for improving faculty development, digital infrastructure, and policy mechanisms for efficient and moral utilization of ABCD technology in assessment in learning.
Keywords:technology adoption, higher education, Technology Acceptance Model (TAM), Constructivist Learning Theory (CLT), digital transformation, education
Publication status:Published
Publication version:Version of Record
Publication date:25.06.2025
Numbering:Vol. 14, No. 1
PID:20.500.12556/ReVIS-12247 New window
ISSN:2232-5107
eISSN:2232-5697
DOI:https://doi.org/10.53615/2232-5697.14.179-194 New window
Publication date in ReVIS:19.09.2025
Views:159
Downloads:2
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Record is a part of a journal

Title:International journal of management, knowledge and learning
Shortened title:IJMKL
Publisher:Mednarodna fakulteta za družbene in poslovne študije
ISSN:2232-5697
COBISS.SI-ID:261654016 New window

Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

Language:Slovenian
Title:Vloga umetne inteligence, veriženja blokov, oblaka in podatkov pri izboljšanju ocenjevanja učenja študentov
Abstract:Namen: Ta študija poskuša preučiti, kako tehnologije ABCD (umetna inteligenca, veriženje blokov, oblak in podatki) vplivajo na meritve učenja na visokošolskem nivoju. Posebej preučuje prepričanja, vedenje in namere dejanj študentov ter kako tehnologije ABCD vplivajo na prilagojeno učenje, akademsko integriteto, sodelovanje in prepričanje o ocenjevanju. Zasnova/metodologija/pristop študije: Uporabljena je bila kvantitativna zasnova s strukturirano anketo, razdeljeno univerzitetnim študentom. Izvedeni so bili statistični testi korelacije in regresije za preverjanje povezav med zaznano uporabnostjo (PU), zaznano enostavnostjo uporabe (PEU) in vedenjsko namero (BI) pri sprejemanju tehnologij ABCD. Ugotovitve: Rezultati niso nakazovali močne povezave med zaznano uporabnostjo, zaznano enostavnostjo uporabe in vedenjskimi nameni, kar kaže na to, da je sprejemanje tehnologij ABCD s strani študentov manj verjetno posledica individualnih dejavnikov, tj. institucionalne podpore, infrastrukture in sodelovanja fakultete. Čeprav se študenti zavedajo potencialnih koristi tehnologij ABCD v smislu izboljšanja učinkovitosti in varnosti ocenjevanja, pomisleki glede pravičnosti, uporabnosti in angažiranosti ostajajo ovire za širše sprejetje. Izvirnost/vrednost: Ta raziskava dopolnjuje model sprejemanja tehnologije (TAM) in konstruktivistično teorijo učenja (CLT) s poudarjanjem vloge konteksta in institucionalnih gonilnikov pri sprejetju tehnologije. Predstavlja pragmatične nasvete izobraževalnim ustanovam za izboljšanje razvoja fakultete, digitalne infrastrukture in političnih mehanizmov za učinkovito in moralno uporabo tehnologije ABCD pri ocenjevanju v učenju.


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