Website-Based Learning Management System (LMS) as a Tool for Learning in the Covid-19 Pandemic Period for Junior High Schools

Sumardi, Dody; Suryani, Nunuk; Musadad, Akhmad Arif

doi:10.23887/jet.v5i3.38371

Cited by 32 publications

(39 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The student’s need to master digital competences has been perceived as being more necessary in the current state of pandemic (COVID-19) we are experiencing (Christopoulos & Sprangers, 2021 ) in which a high degree of mastery has been required to advance in education (Chang & Aytenew, 2021 ), and to be able to function in virtual learning environments (Learning Management Systems, LMS), to which the education process greatly shifted during this period (Sumardi et al, 2021 ). Assuming an online modality where the use of the ICT is constant implies that students dedicate more of their time for studying, for independently searching for additional information, for sharing, for collaborating, and ultimately, for taking on the reins of their own learning (Ariebowo, 2021 ), obtaining a better academic performance as compared to students who are enrolled in in-person modalities, in which a continuous contact with technology does not exist (Soffer & Nachmias, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Digital Competence of Higher Education Students as a Predictor of Academic Success

Cabero‐Almenara

Castillo²,

Guillén‐Gámez³

et al. 2022

Tech Know Learn

View full text Add to dashboard Cite

The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17,301 students from Chile (Latin America) were utilized. A questionnaire composed of a total of 30 items, classified into five endogenous and exogenous dimensions through a causal model, adapted from the works of Gutiérrez-Castillo (Estudio de la competencia digital del alumnado de educación superior. Un análisis de las titulaciones de grado de educación infantil y primaria en la comunidad autónoma de Andalucía. [Tesis doctoral inédita]. Universidad de Sevilla, 2017), Gutiérrez-Castillo & Cabero (Profesorado, Revista De Currículum Y Formación Del Profesorado 20:180–199, 2016) and Gutiérrez-Castillo et al. (Espacios 38:16, 2017), was administered via online to the students. The results showed statistically significant differences in digital competence, as a function of repeating an academic year or not, with better scores for the latter. Also, factors such as the number of digital resources utilized for the teaching–learning process, the previous preparation for managing their studies, as well as the level of education of the parents, mainly the father, significantly had an influence on both types of students. This study highlights the importance of the development of an adequate digital competence which has an influence on the learning of the students and their posterior class promotion.

show abstract

Section: Introductionmentioning

confidence: 99%

Digital Competence of Higher Education Students as a Predictor of Academic Success

Cabero‐Almenara

Castillo²,

Guillén‐Gámez³

et al. 2022

Tech Know Learn

View full text Add to dashboard Cite

show abstract

“…The instrument used is a closed and open questionnaire. The closed questionnaire instrument uses a Likert scale of 4 which is categorized from 1 to 4 which is described as "Not Good", "Poor", "Good", and "Very Good" (Sumardi et al, 2021;Tanti et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

The Effectiveness of Online Based Learning in Universities During the Covid-19 Pandemic

Dwikurnaningsih

Waruwu

2021

j.of education technology

View full text Add to dashboard Cite

The Covid-19 pandemic has had an impact on the management of learning in universities. Face-to-face learning has shifted to online-based learning. This study aims to analyze the effectiveness of online-based learning in higher education in terms of aspects of planning, implementation, evaluation, constraints and strategies towards new habits. The research method used quantitative-qualitative descriptive. Data collection techniques used interviews and open-closed questionnaires, the results of which were processed qualitatively by using Miles and Huberman's qualitative data analysis model and quantitative data analysis using mean, categorization and percentage calculations. The population of this study was 1,117 students, while the sample was taken randomly as many as 366 people. Interviews were conducted on 9 lecturers. The results of this study indicate that 1) planning, implementation and evaluation of online based learning get an assessment with a good category, 2) online based learning obstacles can be overcome with a blended learning model strategy, practical courses are carried out face-to-face, choosing materials and courses online, online learning is done through virtual face-to-face, attitude assessment using various instruments, and lecturers giving assignments according to the number of credits for the course. Thus, online based learning in higher education needs to be improved through blended learning models, face-to-face practical courses, attitude assessment instruments with various alternatives, selection of materials and courses online or offline and assignments according to the number of credits.

show abstract

“…LMS improves the efficiency of educational processes in higher education institutions. LMS are software systems designed to assist learners in courses, whether in traditional face-to-face (physical) classrooms or virtual classrooms [5]. There are two categories of LMS, namely: Commercial Software and Open-Source Software.…”

Section: Learning Management Systemmentioning

confidence: 99%

Smart Analysis of Learners Performance Using Learning Analytics for Improving Academic Progression: A Case Study Model

Krishnan

Nair

Saamuel³

et al. 2022

Sustainability

View full text Add to dashboard Cite

In the current COVID-19 pandemic era, Learning Management Systems (LMS) are commonly used in e-learning for various learning activities in Higher Education. Learning Analytics (LA) is an emerging area of LMS, which plays a vital role in tracking and storing learners’ activities in the online environment in Higher Education. LA treats the collections of students’ digital footprints and evaluates this data to improve teaching and learning quality. LA measures the analysis and reports learners’ data and their activities to predict decisions on every tier of the education system. This promising area, which both teachers and students can use during this pandemic outbreak, converges LA, Artificial Intelligence, and Human-Centered Design in data visualization techniques, semantic and educational data mining techniques, feature data extraction, etc. Different learning activities of learners for each course are analyzed with the help of LA plug-ins. The progression of learners can be monitored and predicted with the help of this intelligent analysis, which aids in improving the academic progress of each learner in a secured manner. The Object-Oriented Programming course and Data Communication Network are used to implement our case studies and to collect the analysis reports. Two plug-ins, local and log store plug-ins, are added to the sample course, and reports are observed. This research collected and monitored the data of the activities each students are involved in. This analysis provides the distribution of access to contents from which the number of active students and students’ activities can be inferred. This analysis provides insight into how many assignment submissions and quiz submissions were on time. The hits distribution is also provided in the analytical chart. Our findings show that teaching methods can be improved based on these inferences as it reflects the students’ learning preferences, especially during this COVID-19 era. Furthermore, each student’s academic progression can be marked and planned in the department.

show abstract

Website-Based Learning Management System (LMS) as a Tool for Learning in the Covid-19 Pandemic Period for Junior High Schools

Cited by 32 publications

References 35 publications

Digital Competence of Higher Education Students as a Predictor of Academic Success

Digital Competence of Higher Education Students as a Predictor of Academic Success

The Effectiveness of Online Based Learning in Universities During the Covid-19 Pandemic

Smart Analysis of Learners Performance Using Learning Analytics for Improving Academic Progression: A Case Study Model

Contact Info

Product

Resources

About