Exploring students digital activities and performances through their activities logged in learning management system using educational data mining approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adel Bessadok ◽  
Ehab Abouzinadah ◽  
Osama Rabie
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Management System ◽  
Learning Management System ◽  
Statistical Significance ◽  
Educational Data Mining ◽  
Data Set ◽  
Content Type ◽  
Learning Management ◽  
The Relationship

Purpose This paper aims to investigate the relationship between the students’ digital activities and their academic performance through two stages. In the first stage, students’ digital activities were studied and clustered based on the attributes of their activity log of learning management system (LMS) data set. In the second stage, the significance of the relationship between these profiles and the associated academic performance was tested statistically. Design/methodology/approach The LMS delivers E-learning courses and keeps track of the students’ activities. Investigating these students’ digital activities became a real challenge. The diversity of students’ involvement in the learning process was proven through the LMS which characterize students’ specific profiles. The Educational Data Mining (EDM) approach was used to discover students’ learning profiles and associated academic performances, where the activity log file exemplified their activities hosted in the LMS. The sample study data is from an undergraduate e-course hosted on the platform of Blackboard LMS offered at a Saudi University during the first semester of the 2019–2020 academic year. The chosen undergraduate course had 25 sections, and the students attending came from science, technology, engineering and math background. Findings Results show three clusters based on the digital activities of the students. The correlation test shows the statistical significance and proves the effect of the student’s profile on his academic performance. The data analysis shows that students with different profiles can still get similar academic performance using LMS. Originality/value This empirical study emphasizes the importance of the EDM approach using clustering techniques which can help the instructor understand how students use the provided LMS content to learn and then can deliver them the best educational experience.

scholarly journals Data Mining Approach for Learning management system

2021 ◽  
Vol 1088 (1) ◽  
pp. 012013
Author(s):  
Harry Dhika ◽  
Fitriana Destiawati ◽  
Surajiyo ◽  
Musa Jaya
Keyword(s):  
Data Mining ◽  
Management System ◽  
Learning Management System ◽  
Data Mining Approach ◽  
Learning Management

Evaluating a Learning Management System to Support Classroom Teaching

2016 ◽  
pp. 905-924
Author(s):  
Tiago França Melo de Lima ◽  
Thiago Nazareth dos Passos
Keyword(s):  
Academic Performance ◽  
Management System ◽  
Learning Management System ◽  
Classroom Teaching ◽  
Communication Tool ◽  
Good Communication ◽  
Self Evaluation ◽  
Teachers And Students ◽  
Information And Communication ◽  
Learning Management

New pedagogical approaches are required to prepare future professionals. The educational model must be in consonance with the information and communication technologies. They help to improve knowledge dissemination and reduce space and time limitations between teachers and students. They should also motivate students and stimulate communication and collaboration among students, improving the learning process. Currently, the Institute of Exact and Applied Sciences of the Federal University of Ouro Preto (IEAS/UFOP) has no institutionalized tools of information and communication for teaching support. This allows the identification of some problems and difficulties on the educational process, such as absence of a centralized way to provide and access didactic resources, unavailability of a good communication tool between teachers and students, and lack of easy access to academic performance information for self evaluation. This chapter presents the authors' experience in choosing and evaluating a Learning Management System (LMS) to support classroom teaching at the IEAS. The authors investigate how the use of a LMS may improve teaching in the following aspects: (1) availability of didactic resources; (2) class planning and following up; (3) teacher-student communication; (4) monitoring of the academic performance of students during the course; (5) collaboration among students.

scholarly journals A hybrid approach for supporting adaptivity in e-learning environments

2016 ◽  
Vol 33 (5) ◽  
pp. 333-348 ◽  
Author(s):  
Mohammad Al-Omari ◽  
Jenny Carter ◽  
Francisco Chiclana
Keyword(s):  
Learning Styles ◽  
Learning Environments ◽  
Intelligent Agents ◽  
Management System ◽  
Learning Management System ◽  
Hybrid Approach ◽  
Content Type ◽  
E Learning ◽  
Learning Management ◽  
System Prototype

Purpose The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the event-condition-action (ECA) model and intelligent agents. Moreover, a system prototype is developed reflecting the hybrid approach to supporting adaptivity in any given learning management system based on learners’ learning styles. Design/methodology/approach This paper offers a brief review of current frameworks and systems to support adaptivity in e-learning environments. A framework to support adaptivity is designed and discussed, reflecting the hybrid approach in detail. A system prototype is developed incorporating different adaptive features based on the Felder-Silverman learning styles model. Finally, the prototype is implemented in Moodle. Findings The system prototype supports real-time adaptivity in any given learning management system based on learners’ learning styles. It can deal with any type of content provided by course designers and instructors in the learning management system. Moreover, it can support adaptivity at both course and learner levels. Originality/value To the best of the authors’ knowledge, no previous work has been done incorporating the concept of the ECA model and intelligent agents as hybrid architecture to support adaptivity in e-learning environments. The system prototype has wider applicability and can be adapted to support different types of adaptivity.

Training costs fall by 80 percent at Northumberland County Council

2014 ◽  
Vol 22 (1) ◽  
pp. 18-20 ◽  
Keyword(s):  
Management System ◽  
Success Factors ◽  
Learning Management System ◽  
Central Place ◽  
Individual Performance ◽  
County Council ◽  
Content Type ◽  
Training Costs ◽  
The Future ◽  
Learning Management

Purpose – Explains how Northumberland County Council in England cut its training costs by 80 percent. Design/methodology/approach – Describes how a new learning-management system has improved efficiency, access and course quality and opened up new opportunities for the future. Findings – Charts the benefits as: a new online-appraisal process that will link individual performance objectives with individual and team learning and development plans; the future development of 360-degree feedback tools that will provide employees with the ability to seek and receive objective feedback on their performance and how their managers, peers and customers feel that they demonstrate the competencies and behavioral-success factors espoused by the council; having one central place for learning and improving consistency of delivery that will meet the needs of the council and its partners; savings in time and money from delivering training more quickly than with a traditional classroom approach; effective management of programs and the ability to avoid costly licensing fees; swift updates to learning, saving time and money; and extensive support offered by Learning Pool, the team that installed the learning-management system. Practical implications – Demonstrates how savings have been achieved through a combination of: online training in place of more than 10,000 hours of classroom delivery; self-service functionality for course bookings, which has saved more than 1,200 hours of administration time; the creation of more than 20 hours of bespoke content; and a reduction in CO2 omissions and fuel savings, all while improving consistency and scalability. Originality/value – Provides the inside story of how a 6,000-plus employee council revolutionized its training delivery and made significant savings into the bargain.

scholarly journals The patterns of accessing learning management system among students

2019 ◽  
Vol 13 (1) ◽  
pp. 15 ◽  
Author(s):  
Akibu Mahmoud Abdullahi ◽  
Mokhairi Makhtar ◽  
Suhailan Safie
Keyword(s):  
Management System ◽  
Assessment Tool ◽  
Learning Management System ◽  
Educational Data Mining ◽  
Learning Content ◽  
Student Access ◽  
The Mean ◽  
Learning Management ◽  
Educational Field ◽  
Online Software

<p>Learning Management System (LMS) is an online software that was hosted on a server and designed specifically to manage learners’ information, course registration, learning content, and assessment tool. Educational data mining is a way of evaluating and using methods for examining the unique and large dataset that come from educational field, and applying those in order to understand how students learn and the settings in which they learn. Many students use to miss some of the activities posted by their instructors, due to the short deadline, and they are not accessing the LMS regularly or every day. The purpose of this paper is to explore the way on how student access LMS and which day is the most frequent accessed. The findings show that, the total number of accessing LMS among 33 students is 16060, and the mean is 486.67, S16 recorded the highest number of accessing the LMS (965 access), while S24 as the least number of access (275). And the correlation between Tuesdays is significant, positive and strong correlation with Wednesdays (0.546), and positive, but weak with Thursdays (0.292), Fridays (0.244), Saturdays (0.334), and Sundays (0.291).</p>

scholarly journals Exploring user experience of learning management system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ilia Maslov ◽  
Shahrokh Nikou ◽  
Preben Hansen
Keyword(s):  
User Experience ◽  
Management System ◽  
Qualitative Data ◽  
Learning Management System ◽  
Dynamic Learning ◽  
Content Type ◽  
E Learning ◽  
Learning Platforms ◽  
Learning Management ◽  
Method Approach

PurposeThis paper aims to explore the perspectives of university students on the learning management system (LMS) and determine factors that influence user experience and the outcomes of e-learning.Design/methodology/approachThis paper employs a mixed-method approach. For qualitative data, 20 semi-structure interviews were conducted. Moreover, for quantitative data, a short survey was developed and distributed among the potential respondents.FindingsThe results showed that students, particularly in programs where courses are mainly offered online, are dependent on such learning platforms. Moreover, the use of modular object-oriented dynamic learning environment (Moodle) as an application of LMS was rated positively, and e-learning was considered as an effective sustainable learning solution in current conditions.Originality/valueThe authors have illustrated empirically how the notion of UX of the LMS provides a means of exploring both students' participation in e-learning and their intention towards using such learning platforms.

Data Mining and Explorative Multivariate Data Analysis for Customer Satisfaction Study

2011 ◽  
pp. 243-266 ◽  
Author(s):  
Rosaria Lombardo
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Management System ◽  
Multivariate Data Analysis ◽  
Learning Management System ◽  
Multivariate Data ◽  
Data Sets ◽  
System Data ◽  
Learning Management

By the early 1990s, the term “data mining” had come to mean the process of finding information in large data sets. In the framework of the Total Quality Management, earlier studies have suggested that enterprises could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk customers/consumers and allow for more timely interventions (Macfadyen & Dawson, 2009). The Learning Management System data and the subsequent Customer Interaction System data can help to provide “early warning system data” for risk detection in enterprises. This chapter confirms and extends this proposition by providing data from an international research project investigating on customer satisfaction in services to persons of public utility, like education, training services and health care services, by means of explorative multivariate data analysis tools as Ordered Multiple Correspondence Analysis, Boosting regression, Partial Least Squares regression and its generalizations.

Evaluating a Learning Management System to Support Classroom Teaching

2015 ◽  
pp. 324-344
Author(s):  
Tiago França Melo de Lima ◽  
Thiago Nazareth dos Passos
Keyword(s):  
Academic Performance ◽  
Management System ◽  
Learning Management System ◽  
Classroom Teaching ◽  
Communication Tool ◽  
Good Communication ◽  
Self Evaluation ◽  
Teachers And Students ◽  
Information And Communication ◽  
Learning Management

New pedagogical approaches are required to prepare future professionals. The educational model must be in consonance with the information and communication technologies. They help to improve knowledge dissemination and reduce space and time limitations between teachers and students. They should also motivate students and stimulate communication and collaboration among students, improving the learning process. Currently, the Institute of Exact and Applied Sciences of the Federal University of Ouro Preto (IEAS/UFOP) has no institutionalized tools of information and communication for teaching support. This allows the identification of some problems and difficulties on the educational process, such as absence of a centralized way to provide and access didactic resources, unavailability of a good communication tool between teachers and students, and lack of easy access to academic performance information for self evaluation. This chapter presents the authors' experience in choosing and evaluating a Learning Management System (LMS) to support classroom teaching at the IEAS. The authors investigate how the use of a LMS may improve teaching in the following aspects: (1) availability of didactic resources; (2) class planning and following up; (3) teacher-student communication; (4) monitoring of the academic performance of students during the course; (5) collaboration among students.

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