Identification of Learning Styles in Distance Education Through the Interaction of the Student With a Learning Management System

2020 ◽  
Vol 15 (3) ◽  
pp. 148-160 ◽  
Author(s):  
Roberto Douglas da Costa ◽  
Gustavo Fontoura de Souza ◽  
Thales Barros de Castro ◽  
Ricardo Alexsandro de Medeiros Valentim ◽  
Aline de Pinho Dias
2021 ◽  
pp. 026666692110354
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Ahmad Samed Al-Adwan

The current study examined factors affecting higher education students’ use of a mobile-based Learning Management System (m-LMS) for distance education during the Corona Virus Disease 2019 (Covid-19). A survey instrument based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) was established and validated. The primary data were gathered from 1032 responses. The data were computed in SmartPLS 3.2. Partial Least Square Structural Equation Modeling (PLS-SEM) procedures were conducted to assess the measurement and structural models. The proposed model is valid and reliable. Findings of the study show that relationships emerge in seven out of ten hypotheses. The strongest relationship is between Perceived Usefulness and Attitude while the weakest exists between Perceived Ease of Use and Attitude. This study emphasizes awareness about the use of m-LMS in education, especially during distance education due to pandemics like Covid-19. The model is expected to provide a useful base for future academicians interested in conducting similar topics of research.


Author(s):  
Tianxing Cai

A Learning Management System (LMS) is a software application for the administration, documentation, tracking, reporting, and delivery of e-learning education courses or training programs. The traditional distance education for mathematics has heavily relied on the application of LMS. However, the Standards for Mathematical Practice have provided the requirements to mathematics educators at all levels for the students' development. This chapter presents the introduction of the transformation from LMS to Internet-based research in the mathematical education. This is the viewpoint of the patterns, developments, changes, or phenomena within their respective fields with regards to distance education of mathematics. It also creates a broad, multidisciplinary understanding of online education across educational boundaries and demonstrates the unique future trajectories that online education has within these mathematics.


2018 ◽  
pp. 746-770
Author(s):  
Tianxing Cai

A Learning Management System (LMS) is a software application for the administration, documentation, tracking, reporting, and delivery of e-learning education courses or training programs. The traditional distance education for mathematics has heavily relied on the application of LMS. However, the Standards for Mathematical Practice have provided the requirements to mathematics educators at all levels for the students' development. This chapter presents the introduction of the transformation from LMS to Internet-based research in the mathematical education. This is the viewpoint of the patterns, developments, changes, or phenomena within their respective fields with regards to distance education of mathematics. It also creates a broad, multidisciplinary understanding of online education across educational boundaries and demonstrates the unique future trajectories that online education has within these mathematics.


Author(s):  
Hyungsung Park ◽  
Young Kyun Baek ◽  
David Gibson

This chapter introduces the application of an artificial intelligence technique to a mobile educational device in order to provide a learning management system platform that is adaptive to students’ learning styles. The key concepts of the adaptive mobile learning management system (AM-LMS) platform are outlined and explained. The AM-LMS provides an adaptive environment that continually sets a mobile device’s use of remote learning resources to the needs and requirements of individual learners. The platform identifies a user’s learning style based on an analysis tool provided by Felder & Soloman (2005) and updates the profile as the learner engages with e-learning content. A novel computational mechanism continuously provides interfaces specific to the user’s learning style and supports unique user interactions. The platform’s interfaces include strategies for learning activities, contents, menus, and supporting functions for learning through a mobile device.


2016 ◽  
pp. 1500-1523
Author(s):  
Tianxing Cai

A Learning Management System (LMS) is a software application for the administration, documentation, tracking, reporting, and delivery of e-learning education courses or training programs. The traditional distance education for mathematics has heavily relied on the application of LMS. However, the Standards for Mathematical Practice have provided the requirements to mathematics educators at all levels for the students' development. This chapter presents the introduction of the transformation from LMS to Internet-based research in the mathematical education. This is the viewpoint of the patterns, developments, changes, or phenomena within their respective fields with regards to distance education of mathematics. It also creates a broad, multidisciplinary understanding of online education across educational boundaries and demonstrates the unique future trajectories that online education has within these mathematics.


2016 ◽  
Vol 33 (5) ◽  
pp. 333-348 ◽  
Author(s):  
Mohammad Al-Omari ◽  
Jenny Carter ◽  
Francisco Chiclana

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.


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