(S.M.) Division of Computing, Middle East College, Understanding 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. Tunicamycin site dataset of Students’ Efficiency Applying Student Details Technique, Moodle as well as the Mobile Application “eDify”. Information 2021, 6, 110. https:// 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 short article comprise an educational dataset collected in the student details method (SIS), the understanding management program (LMS) called Moodle, and video interactions from the mobile application called “eDify.” The dataset, in 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 functions in total, such as the students’ academic info from SIS (which has 24 capabilities), the students’ activities performed on Moodle within and outdoors the campus (comprising ten characteristics), and also the students’ video interactions collected from eDify (consisting of six capabilities). The dataset is beneficial for researchers who need to discover students’ academic functionality in on the web understanding environments, and will assistance them to model their educational datamining models. In addition, it might serve as an input for predicting students’ academic performance within the module for educational datamining and learning analytics. Moreover, researchers are highly suggested to refer for the original papers for far more specifics. Dataset: (accessed on 18 October 2021). Dataset License: CC-BY 4.0. Search phrases: educational datamining; finding out management system; prediction; student academic efficiency; student information and facts 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 article is an open access post distributed under the terms and circumstances of the Creative Commons Attribution (CC BY) license (licenses/by/ 4.0/).Greater educational institutions (HEIs) employ a number of mastering approaches based on data and communications technologies (ICT). These approaches involve various learning 2-Hydroxyethanesulfonic acid Autophagy environments to facilitate the teaching and mastering method with ease and dissemination of expertise to their learners. Additionally, these environments hold track with the customers and their interactions within these environments for auditing and recovery purposes. The logs will help stakeholders with valuable studying data, and when analyzed proficiently, will help to supply a greater learning expertise to learners. Reports generating distinctive users/courses might be utilised to evaluate the efficacy of the courses along with the progress with the learners. Insights can assist cater different understanding types, which assists to figure out the complexity of courses, identifying precise parts from the content material that result in challenges in understanding the concepts and gaining insights in to the future performance of learners. A lot of HEIs use machine finding out (.