Learning Analytics in Mathematics: A Systematic Review

Abstract

Learning analytics (LA) is a useful approach in helping teachers to interpret the data obtained from students. Applying LA in Mathematics is also an effective approach for teachers to understand their students in depth. The objective of this systematic review is to look at LA applications and their benefits in teaching and learning Mathematics. Systematic review allows researcher to perform a clear examination of LA and Mathematics using systematic and explicit methods. The PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) approaches that cover resources from Scopus and Web of Science are applied in implementing a systematic review process, selection criteria and exceptions. As a result, 30 studies which related to LA and Mathematics have been reviewed. Review findings show that the LA approach in Mathematics is frequently applied in improving the quality of the teaching and learning process. In this context, the improvement of the quality of teaching is seen through the improvement of the quality of learning materials, the ability to see the development of learning, and the improvement of student attitudes and behaviors towards Mathematics. LA's benefits in Mathematics education allow teachers to predict student achievement and the risk of dropout of students in learning. Proposed future studies should highlight qualitative studies or mixed methods in support of LA application in Mathematics. Applying a game-based approach (GBL) that has the potential to make the learning process more positive and effective by applying technology is an approach that can be explored in leveraging LA in Mathematics.

Personalised Learning Analytics: Promoting Student’s Achievement and Enhancing Instructor’s Intervention in Self-regulated Meaningful Learning

“…Still, learning analytics can do more to enhance action and initiate learning intervention to support problematic students. Learning analytics support better quality decisions and provide evidence to understand current situations better and address individual students' learning problems [23], [26].…”

Faktor dan Implikasi Daya Tahan dalam Pembelajaran Matematik : Sorotan Literatur Bersistematik

“…Berdasarkan rajah 1 menunjukkan carta alir yang telah diadaptasi daripada Moher et al 2009yang menunjukkan keempat-empat langkah yang telah dilaksanakan bagi memperolehi data bagi kajian sistematik ini. Aplikasi PRISMA memberi pelbagai kelebihan antaranya adalah dapat menentukan dengan jelas persoalan kajian dalam penyelidikan sistematik, mengenal pasti kriteria dalam satu artikel yang perlu dimasukkan atau dikeluarkan dan membantu mendapatkan pangkalan data bagi kajian saintifik literatur pada masa yang ditetapkan (Ramli et al, 2019).…”

Learning mathematics in the new norms caused by digital game-based learning and learning analytics

“…Effective data analysis can project students' learning achievement (Wakelam et al, 2020). Various literature reviews have highlighted that GBL application with LA approaches has greater benefits than conventional teaching approaches (Ramli, Maat, & Khalid, 2019;Papamitsiou & Economides, 2014). Therefore, teachers need to be more creative when producing digital GBL materials with the application of LA for teaching and learning.…”

“…Most studies in recent years have paid attention to LA at the higher institution level, specifically the learning process in universities rather than in schools. The review also indicated that most LA-based learning settings for mathematics are in the form of cognitive tutors, MOOC and LMS learning settings (Ramli, Maat, & Khalid, 2019).…”