Abstract

The data presented in this article comprise an educational dataset collected from the student information system (SIS), the learning management system (LMS) called Moodle, and video interactions from the mobile application called “eDify.” The dataset, from the higher educational institution (HEI) in Sultanate of Oman, comprises five modules of data from Spring 2017 to Spring 2021. The dataset consists of 326 student records with 40 features in total, including the students’ academic information from SIS (which has 24 features), the students’ activities performed on Moodle within and outside the campus (comprising 10 features), and the students’ video interactions collected from eDify (consisting of six features). The dataset is useful for researchers who want to explore students’ academic performance in online learning environments, and will help them to model their educational datamining models. Moreover, it can serve as an input for predicting students’ academic performance within the module for educational datamining and learning analytics. Furthermore, researchers are highly recommended to refer to the original papers for more details.

Highlights

  • SummaryPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • Higher educational institutions (HEIs) employ a variety of learning approaches based on information and communications technology (ICT)

  • This article provides the dataset with multiple learning environments, which will be useful for researchers who want to explore students’ academic performance in online learning environments

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Summary

Summary

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Higher educational institutions (HEIs) employ a variety of learning approaches based on information and communications technology (ICT) These approaches involve different learning environments to facilitate the teaching and learning process with ease and dissemination of knowledge to their learners. The provided dataset contains SIS, Moodle, and video-assisted course data (eDify), which can help researchers to understand video learning analytics using EDM, thereby enhancing the teaching and learning process. The application of the dataset can provide the research community to benchmark EDM tasks performed on longitude and latitude datasets This can help to understand student academic performance (SAP) modeling and prediction using datamining techniques [13,14]. It can be combined with other online environments such as Moodle and online video streaming to understand the behaviors of their learners [15–17]

Data Description
Student Academic Information
Student Academic Performance
Student Moodle Logs
Student Online Activity on Moodle
Student Video Interaction
Data Pre-Processing
Methods
Module Selection
Data Cleansing
Final Dataset
Conclusions

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