Moodle Based Learning Management System Development for Kinesthetic Learning Style

2017 ◽  
Author(s):  
Kumianto Trilaksono ◽  
Harry Budi Santoso
Keyword(s):  
Learning Style ◽  
Management System ◽  
System Development ◽  
Learning Management System ◽  
Kinesthetic Learning ◽  
Learning Management

scholarly journals Learning Management System (LMS) pada E-Learning Menggunakan Metode Agile dan Waterfall berbasis Website

2020 ◽  
Vol 5 (3) ◽  
pp. 323
Author(s):  
Alfath Yauma ◽  
Iskandar Fitri ◽  
Sari Ningsih
Keyword(s):  
Teacher Learning ◽  
Management System ◽  
Teaching And Learning ◽  
System Development ◽  
Learning Management System ◽  
Agile Method ◽  
Learning And Teaching ◽  
E Learning ◽  
Agile Learning ◽  
Learning Management

The education information delivery system at the MA Alwutsqo school is still being carried out as usual even though the pandemic outbreak in Indonesia is still not over. Because the school does not have a system to support distance learning. By implementing health protocols and teaching and learning time events, students often do not get an understanding of the material presented by the teacher. Learning Management System (LMS) is one of the systems needed by the school. Therefore, the authors designed a website-based E-learning application system with the aim of helping the learning and teaching process at MA Alwutsqo Depok City. The design of this information system uses waterfalls and system development is carried out using the Agile method. The result is that students can download the material that has been delivered and can do the exercises given by the teacher without recommendations by time and space.Keywords:E-learning, Webite, Metode Waterfall, Metode Agile, Learning Management System (LMS).

Design of an Adaptive Mobile Learning Management System

2008 ◽  
pp. 286-301 ◽  
Author(s):  
Hyungsung Park ◽  
Young Kyun Baek ◽  
David Gibson
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Mobile Learning ◽  
Management System ◽  
Learning Management System ◽  
Analysis Tool ◽  
User Interactions ◽  
E Learning ◽  
Adaptive Environment ◽  
Learning Management

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.

Using a Learning Management System to Facilitate Learning Outcomes Assessment

2010 ◽  
pp. 138-156 ◽  
Author(s):  
Steven F. Tello ◽  
Luvai Motiwalla
Keyword(s):  
Learning Outcomes ◽  
Management System ◽  
System Development ◽  
Outcomes Assessment ◽  
Learning Management System ◽  
Lessons Learned ◽  
Policy Makers ◽  
Learning Outcomes Assessment ◽  
Learning Management ◽  
Development Approach

Increased demands for accountability among state and federal policy makers require that colleges and universities improve the process of measuring student learning outcomes. Despite a growing need, there has been limited development of integrated, electronic processes and tools that facilitate assessment of student progress toward program-level learning outcomes. Collecting student course materials, classifying by program and course-level objectives and reporting the results remains a tedious and labor-intensive task. This project demonstrates how course-level assessment data from a learning management system (LMS) can be utilized for program-level outcomes assessment. A pilot system was developed to integrate data from a LMS to provide continuous reporting of program and course-level assessment with minimal additional effort from faculty and students. This chapter shares the authors’ outcomes assessment system development approach, faculty development approach, and the lessons learned from their project, including the challenges confronted during system implementation.

scholarly journals Examining the use of a Personalized Learning Management System (PLMS) to Increase Student Engaagement in High School Physics

2018 ◽  
Author(s):  
Meera Singh
Keyword(s):  
Student Engagement ◽  
Learning Styles ◽  
Survey Data ◽  
Learning Style ◽  
Management System ◽  
Learning Management System ◽  
Project Based Learning ◽  
Digital Learning ◽  
Learning Management ◽  
K 12

Motivated by the drive to impact the quality and diversity of students applying to engineering schools, this study evaluates a component of a Personalized Digital Learning Management System (PLMS) that has been designed to increase student engagement in K-12 Physics. In particular, a non-traditional project based learning module, with roots in game-based learning, has been developed and executed in grade 8 science classrooms. Pre and post survey data that includes attitudinal markers, learning style profiles, gender, and assessments of knowledge gained, are analyzed and presented. Results suggest that students who are more interested in science, physics and engineering tend to have learning styles that require programming that is more active and less sequential than traditionally delivered. This is particularly the case for female students. The non-traditional game based project acted to provide these types of learning opportunities and post survey data showed a very high level of student engagement. Results obtained will be used to further refine the PLMS.

scholarly journals Student Engagement using Learning Management System in Computer Science Education

2019 ◽  
Vol 8 (2S11) ◽  
pp. 743-747 ◽  
Keyword(s):  
Student Engagement ◽  
Computer Science ◽  
Learning Style ◽  
Management System ◽  
Learning Management System ◽  
Learning Preferences ◽  
Learning Performance ◽  
Management Systems ◽  
Learning Management ◽  
Teaching Learning

Combined learning among the world's top universities including Malaysia was commonly recognized. Many educational organizations, like Blackboard, WebCT and Moodle, have introduced Learning Management Systems (LMSs) or Course Management Systems (CMSs), depending on the capabilities and needs of the institutions ' programmes. The aim of this paper is to report the results of implementation of learning management system (LMS) using Moodle on student engagement in Computer Science (CS) classroom for two semesters. Furthermore, we also investigating the parameters that influence student engagement and how these scales relate to each stage of learning process to produce better learning performance. The respondents for this work are students who enrolled CS courses regardless of any year. The survey conducted using online and distributed to various type of subject taught in CS for the semester to confirm the students’ learning preferences using blended learning style. From the survey results, we examine the significance correlation of learning preference style with student engagement in campus-based learning. The results show that there is an impact of LMS usage on teaching, learning and assessment based on students’ learning preferences may show better learning engagement amongst students

Using a Learning Management System to Facilitate Learning Outcomes Assessment

2012 ◽  
pp. 1132-1150 ◽  
Author(s):  
Steven F. Tello ◽  
Luvai Motiwalla
Keyword(s):  
Learning Outcomes ◽  
Management System ◽  
System Development ◽  
Outcomes Assessment ◽  
Learning Management System ◽  
Lessons Learned ◽  
Policy Makers ◽  
Learning Outcomes Assessment ◽  
Learning Management ◽  
Development Approach

Increased demands for accountability among state and federal policy makers require that colleges and universities improve the process of measuring student learning outcomes. Despite a growing need, there has been limited development of integrated, electronic processes and tools that facilitate assessment of student progress toward program-level learning outcomes. Collecting student course materials, classifying by program and course-level objectives and reporting the results remains a tedious and labor-intensive task. This project demonstrates how course-level assessment data from a learning management system (LMS) can be utilized for program-level outcomes assessment. A pilot system was developed to integrate data from a LMS to provide continuous reporting of program and course-level assessment with minimal additional effort from faculty and students. This chapter shares the authors’ outcomes assessment system development approach, faculty development approach, and the lessons learned from their project, including the challenges confronted during system implementation.

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