CoverModule 1: Introduction to Learning Experience DesignBecoming a Learning DesignerDrawing Inspiration for Learning Experience Design (LX) from Diverse PerspectivesDefining Learning Experience Design: Voices from the Field of Learning Design & TechnologyModule 2: What do Learning Experience Designers Do?Fundamentals of Exceptional Instructional DesignThe Competencies for Instructional Designers in Higher EducationCurriculum Design ProcessesFive critical questions you need to ask yourself before you design a learning experienceModule 3: Empathy and PersonasBuilding Empathy and Developing Instructional Design Experience and SkillsConducting a Learner AnalysisActivity Theory as a Lens for Developing and Applying Personas and Scenarios in Learning Experience Design(Supplement) Personas for Course DesignModule 4: Design Thinking and Rapid PrototypingDesign ThinkingInstructional Design Prototyping StrategiesRapid Prototyping: an Alternative Instructional Design Strategy(Optional) Rapid Prototyping EduTech Wiki Entry(Supplement) High Quality Resources on Design Thinking in Learning DesignModule 5: Project Management in Learning Experience DesignProject Management Competencies of Educational Technology Professionals in Higher EducationUnderstanding Project Phases and OrganizationAgile Design Processes and Project Management(Optional) Advanced Instructional Design for Successive E-Learning: Based on the Successive Approximation Model (SAM)Module 6: Aesthetics in Learning Experience DesignVisual AestheticsBeautyColor Theory in Experience Design(Optional) Aesthetic principles for instructional design(Supplement) High Quality Resources on Aesthetics in Learning DesignModule 7: Learning Design EvaluationEvaluation BasicsAn Examination of the People and Processes Involved in Quality AssuranceEvaluation for Instructional DesignersEvaluation in the Development Phase(Optional) Methods of User Centered Design and Evaluation for Learning Designers

(Optional) Advanced Instructional Design for Successive E-Learning: Based on the Successive Approximation Model (SAM)

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