Please enable JavaScript.
Coggle requires JavaScript to display documents.
Application of LMS Platforms in Training Processes - Coggle Diagram
Application of LMS Platforms in Training Processes
Creation and Implementation of a TEL Environment
Definition of pedagogical objectives and problems to solve.
Reference architecture (platform + peripheral services).
Identification of target audience and digital competences.
Pilots and prototypes → usability, accessibility, interaction testing.
Gradual implementation + teacher training + tiered support.
Continuous evaluation (indicators: stability, participation, progress, perception).
Governance: policies, providers, funding, sustainability.
Functional Architecture of an LMS
Presentation layer: interface, usability, accessibility, responsive design.
Application layer: courses, enrollment, grading, communication.
Data services: repositories, metadata, SCORM, xAPI, real-time analytics.
Extensibility engine: APIs, integration (videoconferencing, libraries).
Administration/support: monitoring, incidents, notifications, load balancing.
Governance: roles, permissions, data retention, privacy.
Content Management through CMS
Centralized repository + metadata.
Integration with LMS (LTI, webhooks).
Workflows (editing, pedagogical review, accessibility, quality).
Analytics: resource usage, navigation, relevance.
Legal/ethical aspects (licenses, accessibility, technical standards).
Formative Assessment in Virtual Environments
Continuous feedback (interaction data).
Tools: adaptive quizzes, spaced practice, simulations.
Teacher presence: comments, rubrics, synchronous sessions.
Instruments: case studies, collaborative projects, digital portfolios.
Short feedback cycles (quick polls, comprehension checks).
Academic integrity (similarity checks, remote proctoring, random banks).
Communication and Learning Tracking Tools
Synchronous: videoconferences with boards, breakout rooms, recordings.
Asynchronous: forums, microblogging, instant messaging, notifications.
Learning analytics dashboards → risk alerts, progress visualization.
Collaborative networks: wikis, repositories, portfolios, group projects.
AI conversational agents: support, guidance, emotion detection.
Data protection and intellectual property policies.