EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education
Students’ attrition is a critical challenge in higher education, and the EduGuard RetainX software represents a transformative solution. To accurately identify at-risk students, this innovative platform harnesses advanced predictive analytics with knowledge of the personal and institutional costs of...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S235271102500024X |
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| author | Nornina J. Dia Joseph C. Sieras Suhaina A. Khalid Amer Hussien T. Macatotong Jeffrey M. Mondejar Elizabeth R. Genotiva Reymark D. Delena |
| author_facet | Nornina J. Dia Joseph C. Sieras Suhaina A. Khalid Amer Hussien T. Macatotong Jeffrey M. Mondejar Elizabeth R. Genotiva Reymark D. Delena |
| author_sort | Nornina J. Dia |
| collection | DOAJ |
| description | Students’ attrition is a critical challenge in higher education, and the EduGuard RetainX software represents a transformative solution. To accurately identify at-risk students, this innovative platform harnesses advanced predictive analytics with knowledge of the personal and institutional costs of student dropout. Using the software, educators can provide students with tailored, student-centric support early on. In addition, the software fosters a collaborative, data-driven culture that allows a wide range of stakeholders to contribute to student success initiatives. The platform has demonstrated significant positive effects and real advantages, as shown by thorough evaluations of its usability using Dowding and Merrill's usability checklist, where it achieved an 89 % usability score. Further, by enabling a shift towards evidence-based practices and a relentless focus on supporting academic achievement and student persistence, the software is poised to completely reshape the higher education landscape. |
| format | Article |
| id | doaj-art-c5c9a1ff6bce494b8a8bbd5d66905fb8 |
| institution | OA Journals |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-c5c9a1ff6bce494b8a8bbd5d66905fb82025-08-20T02:13:48ZengElsevierSoftwareX2352-71102025-02-012910205710.1016/j.softx.2025.102057EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary educationNornina J. Dia0Joseph C. Sieras1Suhaina A. Khalid2Amer Hussien T. Macatotong3Jeffrey M. Mondejar4Elizabeth R. Genotiva5Reymark D. Delena6Department of Information Sciences, College of Information and Computing Sciences, Mindanao State University – Main Campus, Marawi City, Lanao Del Sur, 9700, PhilippinesDepartment of Information Sciences, College of Information and Computing Sciences, Mindanao State University – Main Campus, Marawi City, Lanao Del Sur, 9700, PhilippinesDepartment of Information Sciences, College of Information and Computing Sciences, Mindanao State University – Main Campus, Marawi City, Lanao Del Sur, 9700, PhilippinesDepartment of Information Sciences, College of Information and Computing Sciences, Mindanao State University – Main Campus, Marawi City, Lanao Del Sur, 9700, PhilippinesDepartment of Computing Sciences, College of Information and Computing Sciences, Mindanao State University – Main Campus, Marawi City, Lanao Del Sur, 9700, PhilippinesDepartment of Computing and Library Information Science, College of Engineering and Information Technology, University of Southern Mindanao, Kabacan, Cotabato, 9407, PhilippinesDepartment of Information Technology, College of Computer Studies, De La Salle University, Manila City, National Capital Region, 1004, Philippines; Corresponding author.Students’ attrition is a critical challenge in higher education, and the EduGuard RetainX software represents a transformative solution. To accurately identify at-risk students, this innovative platform harnesses advanced predictive analytics with knowledge of the personal and institutional costs of student dropout. Using the software, educators can provide students with tailored, student-centric support early on. In addition, the software fosters a collaborative, data-driven culture that allows a wide range of stakeholders to contribute to student success initiatives. The platform has demonstrated significant positive effects and real advantages, as shown by thorough evaluations of its usability using Dowding and Merrill's usability checklist, where it achieved an 89 % usability score. Further, by enabling a shift towards evidence-based practices and a relentless focus on supporting academic achievement and student persistence, the software is poised to completely reshape the higher education landscape.http://www.sciencedirect.com/science/article/pii/S235271102500024XStudent retentionEducational data miningMachine learning algorithmsAcademic factors: Sociodemographic factorsData visualizationMindanao State University |
| spellingShingle | Nornina J. Dia Joseph C. Sieras Suhaina A. Khalid Amer Hussien T. Macatotong Jeffrey M. Mondejar Elizabeth R. Genotiva Reymark D. Delena EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education SoftwareX Student retention Educational data mining Machine learning algorithms Academic factors: Sociodemographic factors Data visualization Mindanao State University |
| title | EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education |
| title_full | EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education |
| title_fullStr | EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education |
| title_full_unstemmed | EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education |
| title_short | EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education |
| title_sort | eduguard retainx an advanced analytical dashboard for predicting and improving student retention in tertiary education |
| topic | Student retention Educational data mining Machine learning algorithms Academic factors: Sociodemographic factors Data visualization Mindanao State University |
| url | http://www.sciencedirect.com/science/article/pii/S235271102500024X |
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