Open Learning Analytics: A Systematic Review of Benchmark Studies using Open University Learning Analytics Dataset (OULAD)
Haya Abdullah A. Alhakbani, Fatema M. Alnassar
Abstract
Virtual learning has gained increased importance because of the recent pandemic situation. A mass shift to virtual means of education delivery has been observed over the past couple of years, forcing the community to develop efficient performance assessment tools. Open University Learning Analytics Dataset (OULAD) is one of the most comprehensive and benchmark datasets in the learning analytics domain. This paper presents the review of benchmark studies performed using OULAD to assess the performance of students in a Virtual Learning Environment (VLE). The presented review aims to highlight the status of technological advancements in this domain and potential future research directions.
Topics & Concepts
Learning analyticsBenchmark (surveying)Computer scienceAnalyticsDomain (mathematical analysis)Data scienceOpen domainOpen researchVirtual learning environmentMachine learningArtificial intelligenceWorld Wide WebQuestion answeringGeographyGeodesyMathematicsMathematical analysisOnline Learning and AnalyticsTechnology-Enhanced Education StudiesE-Learning and Knowledge Management