Ust.edu.my (S.M.) Division of Computing, Middle East College, Information Oasis Muscat, P.B. No. 79, Al Rusayl 124, Oman; [email protected] School of Informatics and Applied Mathematics, University Malaysia Terengganu, Kuala Terengganu 21030, Malaysia; ku_sarker@yahoo Correspondence: [email protected]; Tel.: 968-9819-Citation: Hasan, R.; Palaniappan, S.; Mahmood, S.; Abbas, A.; Sarker, K.U. Dataset of Students’ Efficiency Utilizing Student Info Program, Moodle as well as the Mobile Application “eDify”. Data 2021, 6, 110. https:// doi.org/10.3390/data6110110 Academic Editors: Leonardo Grilli, Carla Rampichini, Maria Cecilia Verri and Donatella Merlini Received: ten August 2021 Accepted: 19 October 2021 Published: 22 OctoberAbstract: The information presented in this report comprise an educational dataset collected in the student details technique (SIS), the studying management technique (LMS) called Moodle, and video interactions in the mobile application called “eDify.” The dataset, from the higher educational institution (HEI) in Sultanate of Oman, comprises 5 modules of data from Spring 2017 to Spring 2021. The dataset consists of 326 student records with 40 capabilities in total, such as the students’ academic data from SIS (which has 24 capabilities), the students’ activities performed on Moodle inside and outdoors the campus (comprising 10 characteristics), along with the students’ video interactions collected from eDify (consisting of six capabilities). The dataset is valuable for researchers who need to explore students’ academic functionality in on line understanding environments, and can assistance them to model their educational datamining models. Moreover, it might serve as an input for predicting students’ academic efficiency within the module for educational datamining and understanding analytics. Moreover, researchers are very suggested to refer towards the original papers for a lot more facts. Dataset: https://zenodo.org/record/5591907 (accessed on 18 October 2021). Dataset License: CC-BY 4.0. Key phrases: educational datamining; finding out management method; prediction; student academic overall performance; student info system1. SummaryPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Copyright: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This short article is an open access short article distributed beneath the terms and circumstances in the Inventive Commons Attribution (CC BY) license (licenses/by/ four.0/).Greater educational institutions (HEIs) employ various mastering Sorbinil In Vitro approaches primarily based on details and communications technology (ICT). These approaches involve various finding out environments to facilitate the teaching and mastering process with ease and dissemination of expertise to their learners. Moreover, these environments hold track of the customers and their interactions inside these environments for auditing and recovery purposes. The logs will help stakeholders with useful studying information, and when analyzed properly, can help to supply a improved learning experience to learners. Reports generating diverse users/courses might be made use of to evaluate the efficacy of the courses and also the progress on the learners. Insights might help cater distinctive learning types, which aids to figure out the complexity of courses, identifying certain parts of your content material that lead to challenges in understanding the ideas and gaining insights in to the future overall performance of learners. A lot of HEIs use machine learning (.