Work in progress — Maximizing student engagement in a learning management system

Author(s):  
Julie M. Little-Wiles ◽  
Stephen P. Hundley ◽  
Adrie Koehler
Author(s):  
Meera Singh

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.


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


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