# Learning analytics in virtual laboratories: a systematic literature review of empirical research

**Authors:** Ramy Elmoazen, Mohammed Saqr, Mohammad Khalil, Barbara Wasson

PMC · DOI: 10.1186/s40561-023-00244-y · Smart Learning Environments · 2023-03-09

## TL;DR

This paper reviews empirical studies on using learning analytics in virtual labs, highlighting gaps and opportunities for improvement in remote education.

## Contribution

The study provides the first systematic review of empirical research on learning analytics in virtual laboratories.

## Key findings

- 48% of the studies focused on higher education, particularly in the medical field.
- Most learning analytics were based on student log files to track actions and behaviors.
- The field remains fragmented with limited potential realized for supporting teaching and learning.

## Abstract

Remote learning has advanced from the theoretical to the practical sciences with the advent of virtual labs. Although virtual labs allow students to conduct their experiments remotely, it is a challenge to evaluate student progress and collaboration using learning analytics. So far, a study that systematically synthesizes the status of research on virtual laboratories and learning analytics does not exist, which is a gap our study aimed to fill. This study aimed to synthesize the empirical research on learning analytics in virtual labs by conducting a systematic review. We reviewed 21 articles that were published between 2015 and 2021. The results of the study showed that 48% of studies were conducted in higher education, with the main focus on the medical field. There is a wide range of virtual lab platforms, and most of the learning analytics used in the reviewed articles were derived from student log files for students’ actions. Learning analytics was utilized to measure the performance, activities, perception, and behavior of students in virtual labs. The studies cover a wide variety of research domains, platforms, and analytical approaches. Therefore, the landscape of platforms and applications is fragmented, small-scale, and exploratory, and has thus far not tapped into the potential of learning analytics to support learning and teaching. Therefore, educators may need to find common standards, protocols, or platforms to build on each others’ findings and advance our knowledge.

## Full-text entities

- **Diseases:** caries (MESH:D003731), anxiety (MESH:D001007), COVID-19 (MESH:D000086382)
- **Species:** Euglena (genus) [taxon 3038], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC9996561/full.md

## References

29 references — full list in the complete paper: https://tomesphere.com/paper/PMC9996561/full.md

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Source: https://tomesphere.com/paper/PMC9996561