The utilization of learning analytics to develop student engagement model in learning management system

Abstract

Learning Analytics (LA) is evolving learning into a new era of analyzing student’s participation and engagement in order to gain some insights. The implementation of LA in a university helps the administration and faculty associates to observe the progress of the students alongside their rate of success. The purpose of this study is to develop a student’s engagement model for holistic involvement in the Learning Management System (LMS). The model was developed from an initial model that was derived from the review of literature and existing model of engagement in LMS. The data were collected from the online learning management system of one public University in Malaysia. From the data analysis, it was found that the strong engagement and interaction between the students, lecturers and the content in LMS, led to boost up the usage of the LMS as long as the student participation in the learning environment is accepted, which in return prepared the students to be evaluated anytime. The model that will be developed from this study can help increase the interaction and engagement between lecturers and students in LMS. Unlike the engagement of students in higher education LMS, which has been discussed already in the literature, this research integrated the role of trace data in shaping the learning environment communication and participation of the users.

Assessment of Teachers’ Needs to Integrate Learning Analytics in Higher Education: The Morocco Case

“…In this context, it was decided to suspend classes until further notice in all schools and universities of the public and private sectors from Monday, March 16, 2020 Many studies have proven its effectiveness in achieving many goals, such as predicting (and improving) student success [9], engaging students [10], increasing student success [11], assessing student learning [12], enhancing student learning, developing future competencies in higher education [13], developing a student engagement model in the learning management system [14], improving student experience [15], understanding and supporting collaborative learning [16], understanding scientific modeling [17].…”

Perceptions on the Utilization of Learning Management System and its Effects on the Communication Skills of Private Senior High School Students in Manila

“…Both studies found positive results regarding their focus of investigation (i.e., attitudes and level of training), supporting that these results affected how participants view LMS' relevance to the educational context. On the other hand, a more specific approach to analyzing LMS utilization was the focus of Ismail, Hamid, and Chiroma's [12] study, which paid attention to learning analytics. The researchers believed that tracing and exploring students' online activity in a learning management system would guide school teachers and administrators to gain insights into students' engagement.…”

“…Most frequent words in the corpus: yes (49); communicate (24); lecturer (23); google (13); teachers (12) Fig. 2 presents the dominant responses of the student participants to the question about the connection between the learning management system and students' communication with lecturers.…”

“…Most frequent words in the corpus: yes (38); communication (30); skills (24); improved (14); helped (12) Fig. 6.…”

Analítica de aprendizaje como estrategia de apoyo al aula invertida en cursos de programación: una revisión sistemática de literatura

“…También existen documentos donde se incluyen modelos con árboles de decisión que permiten detectar de forma automática las emociones generadas en el texto por los estudiantes, apoyando la toma de decisiones para las asesorías [16]. Asimismo se analizaron dos trabajos investigativos que contribuyen a la enseñanza de la programación, el primero define un método que incluye reglas para corregir composiciones sintácticas, a partir de los errores cometidos por el estudiante [17] y el segundo presenta un método automático basado en árboles de decisión para analizar los mensajes enviados por los estudiantes en los debates, su profundidad y similitud con otros mensajes [18].…”