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Platforms & Support Technologies for E-Learning - Coggle Diagram
Platforms & Support Technologies for E-Learning
Criteria for Selecting an LMS
Criteria for Selecting an LMS
Alignment with objectives: registration, course sequencing, tutor assignment, automatic evaluation & certification, key indicators (progress, completion rate, forum activity).
Usability: intuitive interface, clear menus, simple enrollment, user testing for accessibility.
Scalability & deployment: handle growth, cloud (SaaS) or on-premise options.
Compatibility & integration: SCORM, xAPI, APIs to ERP/CRM, guaranteed uptime, technical support.
LMS Architecture & Components
Presentation layer: responsive web interface (dashboards, course catalogues, reports).
Business logic layer: user authentication, access control, course flow, evaluation rules, notifications, learning analytics engine.
Data layer: relational/NoSQL databases, user records, grades, interactions, Learning Record Store (LRS) for xAPI events.
Other key modules: multimedia repository, synchronous/asynchronous communication
Integration of External Tools
Plugins: add features (advanced quizzes, calendars, gamification).
APIs: secure data exchange with ERP, CRM, HRIS; use RESTful endpoints, OAuth 2.0, logging & traceability.
LTI (Learning Tools Interoperability): single sign-on to external apps
Information Security & Data Privacy
Infrastructure protection: firewalls, IDS/IPS, network segmentation, timely patching, penetration testing.
Privacy compliance: local laws (e.g., Panama Law 81/2019), GDPR when applicable.
Informed consent, minimal data collection.
Data encryption: TLS (in transit), AES (at rest).
Data retention & deletion policies.
Access control: Role-Based Access Control (RBAC), audit logs, user training (passwords, phishing awareness).
AI, Learning Analytics & Adaptive Environments
Artificial Intelligence: machine learning to build learner profiles, recommend content, reduce friction; chatbots/virtual assistants for 24/7 support and automated feedback.
Learning analytics: dashboards to monitor completion, forum engagement, module progress, formative assessment results; predictive models for early dropout detection; correlation of activity vs. outcomes for continuous improvement.
Adaptive environments: real-time course personalization combining AI and analytics.
Indicators for Measuring Learning
Completion rate of modules
Summative assessment scores (percentage of correct answers)
Participation level in collaborative activities (forums, wikis, group projects)
Average time spent per unit
Detects dropout points & instructional design weaknesses.
Evaluation Instruments
Multiple-choice & open-ended quizzes → factual knowledge & understanding
Detailed rubrics → projects, case studies, multimedia presentations
System logs → navigation paths, practice attempts, forum interactions
Combined methods → objective tests + portfolio analysis + interaction metrics = holistic evaluation (knowledge, skills, attitudes).
Formative Assessment & Feedback
Mini-quizzes after each sub-unit → student self-check
Automatic reports → alert tutors to low scores or recurring errors
Timely interventions: reinforcement materials, 1-to-1 tutoring,
Self-assessment, Peer Assessment & Digital Portfolios
Self-assessment: reflection guides, metacognitive questionnaires, competency checklists → fosters autonomy & self-regulation.
Peer assessment: students review each other’s work using shared rubrics; develops critical thinking & understanding of quality criteria; tutor supervises for reliability.
Digital portfolio: central repository of projects
Data Analysis & Continuous Improvement
Key metrics: completion rate, time on module, forum participation, assessment results.
PDCA cycle (Plan–Do–Check–Act):
Plan: set goals (e.g., +15% collaboration).
Do: redesign activities, train tutors, add multimedia.
Check: analyze updated metrics.
Act: standardize successful practices or revise.
Advanced learning analytics: data mining & interactive dashboards; early alerts, personalized tutoring, automated content recommendations.
Knowledge management