Toward Open-Source Cloud-Based Visual Machine Learning Platform: A Human-Interface Usability Study
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| Argitaratua izan da: | Journal of Information Systems Education vol. 36, no. 4 (Fall 2025), p. 342-352 |
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| Beste egile batzuk: | , , , |
| Argitaratua: |
EDSIG
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| Gaiak: | |
| Sarrera elektronikoa: | Citation/Abstract Full Text Full Text - PDF |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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| 001 | 3272440667 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1055-3096 | ||
| 022 | |a 2574-3872 | ||
| 022 | |a 1055-3104 | ||
| 024 | 7 | |a 10.62273/QTWE9132 |2 doi | |
| 035 | |a 3272440667 | ||
| 045 | 2 | |b d20251001 |b d20251231 | |
| 084 | |a 50955 |2 nlm | ||
| 100 | 1 | |a ElSaid, AbdElRahman |u College of Science & Engineering University of North Carolina Wilmington Wilmington, NC 28403, USA elsaida@uncw.edu | |
| 245 | 1 | |a Toward Open-Source Cloud-Based Visual Machine Learning Platform: A Human-Interface Usability Study | |
| 260 | |b EDSIG |c Fall 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such as neural networks, presents a significant barrier for those users. To overcome this challenge, it is essential to reduce the cognitive burden associated with coding, algorithm configuration, and system setup. This study introduces an early-stage prototype of an open-source, cloud-based visual ML platform aimed at lowering this barrier. The platform enables users to configure, execute, and monitor ML workflows through an intuitive graphical interface, eliminating the need for programming skills or environment setup. To evaluate the platform's usability and user-friendliness, a user study was conducted involving participants from diverse academic backgrounds. Participants engaged with both visual and command-line versions of the system and completed a structured questionnaire. The results revealed a strong preference for the visual interface, especially among users with limited technical experience. These findings suggest that intuitive, no-code platforms can significantly reduce entry barriers and foster broader engagement with ML in educational settings. | |
| 653 | |a Usability | ||
| 653 | |a Computer science | ||
| 653 | |a Prototypes | ||
| 653 | |a Kindness | ||
| 653 | |a Everyday life | ||
| 653 | |a Optimization techniques | ||
| 653 | |a Machine learning | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Barriers | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a End users | ||
| 653 | |a Neural networks | ||
| 653 | |a Learning | ||
| 653 | |a Education | ||
| 653 | |a Open source software | ||
| 653 | |a Skills | ||
| 653 | |a Transformation | ||
| 653 | |a Cloud computing | ||
| 653 | |a Empowerment | ||
| 653 | |a Design | ||
| 653 | |a Architecture | ||
| 653 | |a Intellectual Disciplines | ||
| 653 | |a Expertise | ||
| 653 | |a Experiments | ||
| 653 | |a Educational Objectives | ||
| 653 | |a Database Management Systems | ||
| 653 | |a Resource Allocation | ||
| 653 | |a Algorithms | ||
| 653 | |a Educational Quality | ||
| 653 | |a Editing | ||
| 653 | |a Structural Elements (Construction) | ||
| 653 | |a Outcomes of Education | ||
| 653 | |a Networks | ||
| 653 | |a Programming | ||
| 700 | 1 | |a Shi, Yao |u Cameron School of Business University of North Carolina Wilmington Wilmington, NC 28403, USA shiy@uncw.edu | |
| 700 | 1 | |a Mkaour, Mohamed Wiem |u College of Innovation & Technology University of Michigan-Flint Flint, MI 48109, USA mmkaouer@umich.edu | |
| 700 | 1 | |a Altalouli, Mahmoud |u Department of Education, Languages, and Instructional Design State University of New York Brockport Brockport, NY 14420, USA maltalouli@brockport.edu | |
| 700 | 1 | |a Tawfik, Anas | |
| 773 | 0 | |t Journal of Information Systems Education |g vol. 36, no. 4 (Fall 2025), p. 342-352 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3272440667/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3272440667/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3272440667/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |