LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES
Learning analytics (LA) is a rapidly growing area of research that focuses on using data from learning technologies to improve the quality of students' outcomes. This paper aims to provide a comprehensive understanding of the current state of research on learning analytics technologies and how...
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| Format: | Article |
| Language: | English |
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Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia
2025-03-01
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| Series: | International Journal for Quality Research |
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| Online Access: | http://ijqr.net/journal/v19-n1/19.pdf |
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| author | Ali Alowayr |
| author_facet | Ali Alowayr |
| author_sort | Ali Alowayr |
| collection | DOAJ |
| description | Learning analytics (LA) is a rapidly growing area of research that focuses on using data from learning technologies to improve the quality of students' outcomes. This paper aims to provide a comprehensive understanding of the current state of research on learning analytics technologies and how they can positively impact student outcomes. To achieve this, a systematic review using a PRISMA methodology was conducted. Inclusion and exclusion criteria were applied to select relevant papers, resulting in a final set of 31 papers for analysis. The identified papers were then organised and analysed. The findings show that the use of learning analytics has many benefits for both learners and instructors. However, its adoption by higher educational institutions has been slow and limited due to a lack of resources, funding, and skills. Four systematic reviews on the topic have been conducted, but they do not reveal any significant changes in the status of research and practice over the years. The analysed papers highlight the use of learning analytics for predicting student learning behaviours and identifying at-risk students who may benefit from targeted interventions. These interventions have been shown to improve students' academic performance and retention rates. Furthermore, learning analytics has also been used for technology enhanced learning and to improve overall academic outcomes for students. Moving forward, it is crucial to focus on overcoming the barriers to adoption that hinder the widespread use of learning analytics in higher education. Additionally, exploring alternative options beyond the traditional dashboard-based approach could offer new insights and improve the overall effectiveness of learning analytics systems. This research has implications for universities, learning staff and students. |
| format | Article |
| id | doaj-art-02c7338a73084c5aa375abfc01d31bab |
| institution | Kabale University |
| issn | 1800-6450 1800-7473 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia |
| record_format | Article |
| series | International Journal for Quality Research |
| spelling | doaj-art-02c7338a73084c5aa375abfc01d31bab2025-02-11T15:00:50ZengCenter for Quality, Faculty of Engineering, University of Kragujevac, SerbiaInternational Journal for Quality Research1800-64501800-74732025-03-0119129731210.24874/IJQR19.01-19LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMESAli Alowayr 0https://orcid.org/0000-0002-7834-3332Technology; Faculty of Computing and Information; Albaha University; Saudi Arabia Learning analytics (LA) is a rapidly growing area of research that focuses on using data from learning technologies to improve the quality of students' outcomes. This paper aims to provide a comprehensive understanding of the current state of research on learning analytics technologies and how they can positively impact student outcomes. To achieve this, a systematic review using a PRISMA methodology was conducted. Inclusion and exclusion criteria were applied to select relevant papers, resulting in a final set of 31 papers for analysis. The identified papers were then organised and analysed. The findings show that the use of learning analytics has many benefits for both learners and instructors. However, its adoption by higher educational institutions has been slow and limited due to a lack of resources, funding, and skills. Four systematic reviews on the topic have been conducted, but they do not reveal any significant changes in the status of research and practice over the years. The analysed papers highlight the use of learning analytics for predicting student learning behaviours and identifying at-risk students who may benefit from targeted interventions. These interventions have been shown to improve students' academic performance and retention rates. Furthermore, learning analytics has also been used for technology enhanced learning and to improve overall academic outcomes for students. Moving forward, it is crucial to focus on overcoming the barriers to adoption that hinder the widespread use of learning analytics in higher education. Additionally, exploring alternative options beyond the traditional dashboard-based approach could offer new insights and improve the overall effectiveness of learning analytics systems. This research has implications for universities, learning staff and students.http://ijqr.net/journal/v19-n1/19.pdflearning analyticsstudent performancetechnology enhanced learningstudent outcomesonline learningmoodle learning management system |
| spellingShingle | Ali Alowayr LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES International Journal for Quality Research learning analytics student performance technology enhanced learning student outcomes online learning moodle learning management system |
| title | LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES |
| title_full | LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES |
| title_fullStr | LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES |
| title_full_unstemmed | LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES |
| title_short | LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES |
| title_sort | learning analytics systems to improve the quality of students outcomes |
| topic | learning analytics student performance technology enhanced learning student outcomes online learning moodle learning management system |
| url | http://ijqr.net/journal/v19-n1/19.pdf |
| work_keys_str_mv | AT alialowayr learninganalyticssystemstoimprovethequalityofstudentsoutcomes |