Conference paper 2022

Learning Analytics Tools for Enhancing Students' Performance: A Global Perspective

OJ
Osakwe, Jude Odiakaosa
 IG
Iyawa, Gloria
 UM
Ujakpa, Martin Mabeifam
 AT
Ankome, Teresia
2022 IST-Africa Conference, IST-Africa 2022
Conference
Abstract

Universities across the world use different policies in data collection thus, some have different ways of using Learning Analytics (LA) to assist in improving students' performance. The purpose of this paper was to investigate the perceptions of LA as a tool for enhancing students' performance. 1,395 lecturers in 12 countries, spread through 5 continents participated in the survey picked randomly to ensure diversity in this research. The findings revealed that the majority of the lecturers are aware of LA and their institutions use a variety of LA tools. The study also found that most lecturers use these novative tools in their institutions. However, there are challenges such as skills development, incompatible institutional policies and lack of resources, which hindered the full implementation and use of LA tools in higher educational institutions. © 2022 IST-Africa Institute and Authors.

Keywords

Author Keywords

technology Perception Learning Analytics performance

Index Keywords

Students Skills development Student performance Performance Data collection technology Institutional policies Learning analytic Analytic tools Global perspective Perception of learning
Author Affiliations
Namibia University of Science and Technology, Windhoek, Namibia
Ghana Communication Technology University, Accra, Ghana
Funding & Acknowledgements
No funding information
References 10 References
1 Code of Practice for Learning Analytics, (2025)
2 Papamitsiou, Zacharoula K., Learning analytics and educational data mining in practice: A systemic literature review of empirical evidence, Educational Technology and Society, 17, 4, pp. 49-64, (2014)
3 del Blanco, Ángel, E-Learning standards and learning analytics. Can data collection be improved by using standard data models?, IEEE Global Engineering Education Conference, EDUCON, pp. 1255-1261, (2013)
4 Improving Student Satisfaction with Assessment and Feedback One Day Conference, (2014)
5 Barber, Rebecca T., Course correction: Using analytics to predict course success, ACM International Conference Proceeding Series, pp. 259-262, (2012)
6 Sharkey, Mike, Academic analytics landscape at the University Of Phoenix, ACM International Conference Proceeding Series, pp. 122-126, (2011)
7 International Journal of Innovative Technology Creative Engineering, (2012)
8 Naspa Journal, (2003)
9 Siemens, George, Learning analytics and educational data mining: Towards communication and collaboration, ACM International Conference Proceeding Series, pp. 252-254, (2012)
10 Educause Review, (2007)
Quick Actions
Full Text via DOI
Citation Metrics
1
Times Cited (Scopus)
References 10
Document Identifiers