Subtopic Deep Dive
Web-Based Learning Management Systems
Research Guide
What is Web-Based Learning Management Systems?
Web-Based Learning Management Systems (LMS) are online platforms like Moodle and Canvas that deliver courses, assessments, and analytics in higher education.
Researchers evaluate LMS usability, integration with tools, and impacts on student outcomes, especially during COVID-19 shifts to remote learning (Çavuş et al., 2021, 93 citations). Studies span acceptance models, TPACK frameworks, and neural networks for learning styles (Setuju et al., 2018; Ibrahim, 2022). Over 10 papers from 2014-2022 analyze LMS in Malaysian and global contexts.
Why It Matters
LMS enabled sustainable education in developing nations during COVID-19 by supporting course delivery and analytics for millions of students (Çavuş et al., 2021). Platforms improved student activity via TPACK integration and multiple intelligences development (Setuju et al., 2018; Mayub and Fahmizal, 2022). Adoption influenced ESL primary education and engineering undergraduates' performance under restrictions (Haleman and Yamat, 2021; Akmal et al., 2021).
Key Research Challenges
LMS Adoption in Developing Countries
Slow uptake of LMS hindered sustainable education during COVID-19 compared to developed nations. Developing countries faced infrastructure and training gaps (Çavuş et al., 2021). Interventions require targeted determinants analysis.
Student Acceptance of E-Learning
ESL primary students showed varied acceptance of e-learning tools amid ICT integration pushes. Barriers included usability and engagement issues (Haleman and Yamat, 2021). Models like TAM need refinement for young learners.
Personalized Learning Style Detection
Traditional surveys burden students for Felder-Silverman style determination. Neural network models offer automated alternatives via LMS data (Ibrahim, 2022). Accuracy and scalability remain unproven in diverse cohorts.
Essential Papers
Determinants of Learning Management Systems during COVID-19 Pandemic for Sustainable Education
Nadire Çavuş, Yakubu Bala Mohammed, Mohammed Nasiru Yakubu · 2021 · Sustainability · 93 citations
Research has shown that effective and efficient learning management systems (LMS) were the main reasons for sustainable education in developed nations during COVID-19 pandemic. However, due to slow...
New Norms of Online Teaching and Learning: Covid-19 Semester Experience for Universiti Malaysia Terengganu Students
Noor Rohana Mansor, Asyraf Hj Ab Rahman, Azza Jauhar Ahmad Tajuddin et al. · 2021 · Academic Journal of Interdisciplinary Studies · 21 citations
The COVID-19 pandemic has affected the national education agenda at all levels of education. New Teaching and Learning (T&L) online norms have been executed except for specific academic program...
The Acceptance of E-Learning Among ESL Primary School Students During Covid-19
Khairah Nuraishah Haleman, Hamidah Yamat · 2021 · Journal of English Language Teaching and Applied Linguistics · 15 citations
The past years have seen a strong focus in Malaysia on the increase of infusion of Information Communication Technology (ICT) in educational institutions to stimulate innovations and strengthen glo...
Development E-Learning to Improve Student Activity with Technological Pedagogical and Content Knowledge
S Setuju, Bayu Rahmat Setiadi, Dianna Ratnawati et al. · 2018 · International Journal of Engineering & Technology · 7 citations
Industrial era 4 is the era with digitalization in various fields, including education. The need for e-learning based learning is essential to develop. The development of learning with TPACK framew...
DEVELOPING MULTIPLE INTELLIGENCES THROUGH ICT-BASED E-LEARNING PROGRAM
Afrizal Mayub, Fahmizal Fahmizal · 2022 · IJIET (International Journal of Indonesian Education and Teaching) · 3 citations
This study aims to determine the development of nine types of intelligence (Multiple Intelligences) through an e-learning program implemented through a computer network and/or personal computer (PC...
Conceptual Framework of Factors Affecting Online Teaching
Husna Sarirah Husin, Shahrinaz Ismail, Siti Haryani Shaikh Ali et al. · 2022 · International Journal of Innovative Research and Scientific Studies · 3 citations
This study will add to the body of knowledge by creating a conceptual framework around fundamental concepts related to examining the factors that influence the efficiency of online teaching. The fr...
MODEL RANGKAIAN NEURAL BAGI PENENTUAN GAYA PEMBELAJARAN PELAJAR BERASASKAN MODEL FELDER-SILVERMAN
Mohd Faisal Ibrahim · 2022 · Asean Journal of Teaching and Learning in Higher Education · 1 citations
Gaya pembelajaran merupakan kecenderungan pendekatan seseorang pelajar untuk belajar. Kebanyakan model penentuan gaya pembelajaran yang dibangunkan menggunakan kaedah soal-selidik dan tinjauan yang...
Reading Guide
Foundational Papers
Start with Indra Gunawan (2014) for pedagogy-technology interplay in e-learning development at IAIN Raden Intan Lampung, as it grounds LMS content and interaction basics.
Recent Advances
Çavuş et al. (2021) for COVID-19 determinants (93 citations); Ibrahim (2022) for neural learning style models; Husin et al. (2022) for online teaching frameworks.
Core Methods
TPACK for e-learning development (Setuju et al., 2018); Felder-Silverman neural models (Ibrahim, 2022); TAM and conceptual frameworks for acceptance (Haleman and Yamat, 2021; Husin et al., 2022).
How PapersFlow Helps You Research Web-Based Learning Management Systems
Discover & Search
Research Agent uses searchPapers and exaSearch to find COVID-19 LMS studies like 'Determinants of Learning Management Systems' by Çavuş et al. (2021), then citationGraph reveals 93 citing works on sustainability. findSimilarPapers expands to TPACK and acceptance models from Mansor et al. (2021).
Analyze & Verify
Analysis Agent applies readPaperContent to extract TPACK metrics from Setuju et al. (2018), then runPythonAnalysis with pandas to compare student activity scores across papers. verifyResponse via CoVe and GRADE grading checks claims on LMS effectiveness against Haleman and Yamat (2021) data.
Synthesize & Write
Synthesis Agent detects gaps in LMS personalization post-COVID via contradiction flagging between Çavuş et al. (2021) and Ibrahim (2022). Writing Agent uses latexEditText, latexSyncCitations for 10-paper reviews, and latexCompile for reports with exportMermaid diagrams of adoption flows.
Use Cases
"Analyze student performance data from LMS papers using Python"
Research Agent → searchPapers (Çavuş 2021, Akmal 2021) → Analysis Agent → readPaperContent → runPythonAnalysis (pandas plot of activity scores) → matplotlib graph of outcomes.
"Write LaTeX review on LMS during COVID-19"
Synthesis Agent → gap detection (adoption barriers) → Writing Agent → latexEditText (intro) → latexSyncCitations (10 papers) → latexCompile → PDF with diagrams.
"Find GitHub repos for LMS TPACK implementations"
Research Agent → searchPapers (Setuju 2018) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → code snippets for e-learning TPACK.
Automated Workflows
Deep Research workflow scans 50+ LMS papers via searchPapers, structures reports on COVID impacts with GRADE grading (Çavuş et al., 2021). DeepScan applies 7-step analysis to verify acceptance models from Mansor et al. (2021) with CoVe checkpoints. Theorizer generates frameworks for LMS personalization from Ibrahim (2022) neural models.
Frequently Asked Questions
What defines Web-Based Learning Management Systems?
Web-Based LMS are platforms like Moodle for course delivery, assessments, and analytics in education (Çavuş et al., 2021).
What methods improve LMS effectiveness?
TPACK frameworks enhance student activity (Setuju et al., 2018); neural networks detect learning styles (Ibrahim, 2022).
What are key papers on LMS during COVID-19?
Çavuş et al. (2021, 93 citations) on determinants; Mansor et al. (2021, 21 citations) on new online norms.
What open problems exist in LMS research?
Scalable personalization via AI for diverse learning styles; infrastructure gaps in developing countries (Ibrahim, 2022; Çavuş et al., 2021).
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