| Naslov: | User evaluation of a machine learning-based student performance prediction platform |
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| Avtorji: | ID Hoti, Arbër H. (Avtor)
ID Zenuni, Xhemal (Avtor)
ID Hamiti, Mentor (Avtor)
ID Ajdari, Jaumin (Avtor) |
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| Datoteke: |  https://organizacija.fov.um.si/issues/vol-58-no-3-2025/
 RAZ_Hoti_Arber_H._2025.pdf (2,00 MB)
MD5: 57EE8533FC7DECDDCD521DF0531185F1
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Neznano |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FOV - Fakulteta za organizacijske vede
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| Opis: | Background/Purpose: The integration of machine learning in education has opened new possibilities for predicting student performance and enabling early interventions. While most of the work has been focused on prediction algorithms design and evaluations, little work has been done on user-centric evaluations. Methodology: This study evaluates a web-based platform designed for student performance prediction using various machine learning algorithms. Users, including students, professors, and career counselors, tested the platform and provided feedback on usability, accuracy, and recommendation likelihood. Results: Results indicate that the platform is user-friendly, requires minimal technical support, and delivers reliable predictions. Conclusion: Users strongly endorsed its adoption, highlighting its potential to assist educators in identifying at-risk students and improving academic outcomes. |
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| Ključne besede: | student performance, machine learning, system evaluation |
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| Datum objave: | 01.01.2025 |
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| Leto izida: | 2025 |
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| Št. strani: | str. 296-310 |
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| Številčenje: | Vol. 58, issue 3 |
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| PID: | 20.500.12556/DKUM-95137  |
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| UDK: | 378:004 |
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| COBISS.SI-ID: | 247869699 |
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| DOI: | 10.2478/orga-2025-0018 |
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| ISSN pri članku: | 1318-5454 |
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| Datum objave v DKUM: | 05.09.2025 |
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| Število ogledov: | 172 |
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| Število prenosov: | 5 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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