Soft SkillsUnderstanding 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.
Über diesen Kurs
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.
Zielgruppe
Educational ResearchersInstructional DesignersData Scientists
Lernziele
Design multimodal curriculaEvaluate modality effectivenessIntegrate multimodal technologiesAssess learning outcomesEnsure accessibility compliance
Fähigkeiten, die Sie erwerben
Multimodal curriculum designModality alignment methodsEvaluation metric designLMS integration skillsAccessibility implementation
Kursmodule
1Module 15 Lektionen
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 Lektionen
2.1Multimedia Content Design
2.2Instructional Sequencing Strategies
2.3Technology and LMS Integration
2.4Engagement Design and Gamification
2.5Module Quiz
3Module 35 Lektionen
3.1Assessment Design for Modalities
3.2Planning Multimodal Data Collection
3.3Multimodal Data Analysis Methods
3.4Ethics, Evaluation, and Improvement
3.5Module Quiz
