Compétences DoucesUnderstanding Advanced Multimodal Learning
Multimodal learning uses a deliberate mix of instructional methods to engage different sensory pathways so learners can connect with material in the way that suits them best. This approach draws on multiple channels - seeing, hearing, reading, and doing - to create richer learning experiences that increase engagement and improve retention. For educational researchers, instructional designers, and data scientists, understanding these principles helps in designing training that is both inclusive and practical for workplace application.
À Propos de Ce Cours
This advanced course equips researchers, designers, and data scientists with applied theory and methods to design, implement, and evaluate multimodal learning environments. Learners will master modality theory, design strategies, technology integration, accessibility, and advanced assessment using multimodal data.
Public Cible
Educational ResearchersInstructional DesignersData Scientists
Objectifs d'Apprentissage
Design multimodal curriculaEvaluate modality effectivenessIntegrate multimodal technologiesAssess learning outcomesEnsure accessibility compliance
Compétences Acquises
Multimodal curriculum designModality alignment methodsEvaluation metric designLMS integration skillsAccessibility implementation
Modules du Cours
1Module 15 leçons
1.1Multimodal Learning Principles
1.2Cognitive Load and Memory
1.3Learner Profiles and Needs Analysis
1.4Accessibility and Inclusive Design
1.5Module Quiz
2Module 25 leçons
2.1Multimedia Content Design
2.2Instructional Sequencing Strategies
2.3Technology and LMS Integration
2.4Engagement Design and Gamification
2.5Module Quiz
3Module 35 leçons
3.1Assessment Design for Modalities
3.2Planning Multimodal Data Collection
3.3Multimodal Data Analysis Methods
3.4Ethics, Evaluation, and Improvement
3.5Module Quiz
