MOOC course

Lesson 1 • MOOC Platform Landscape Overview

Surveys major platform types, feature sets, and learner-facing interfaces. Provides context for tool selection decisions addressed in later chapters.

Lesson 2 • Setting Measurable Learning Outcomes

Teaches outcome writing using action-verb taxonomies aligned to performance levels. Outcomes drive all assessment and content decisions in later chapters.

Lesson 3 • Adult Learner Psychology Essentials

Covers motivation, self-regulation, and cognitive load in adult online learners. Informs every instructional choice made throughout the course design process.

Lesson 1 • Creating a Course Blueprint Document

Guides production of a structured blueprint capturing modules, outcomes, assets, and timelines. Serves as the master reference for all subsequent development work.

Lesson 2 • Scope Management and Feasibility

Balances instructional ambition against production resources and learner time budgets. Prevents scope creep that delays launch and reduces course quality.

Lesson 3 • Backward Design for MOOCs

Applies backward design: start from outcomes, then assessments, then instruction. Ensures every module directly serves a defined learning goal.

Lesson 1 • Inclusive Language and Representation

Addresses bias-free language, diverse examples, and culturally responsive content choices. Builds learner trust and reduces stereotype threat across global audiences.

Lesson 2 • Accessible Media and Content

Covers captioning, audio description, alt text, and readable document formatting. Ensures all media assets meet international accessibility guidelines.

Lesson 3 • Universal Design for Learning Principles

Introduces UDL's three networks: representation, action/expression, and engagement. Frames accessibility as a design philosophy, not a compliance checklist.

Lesson 1 • Scripting and Storyboarding

Teaches concise script writing and visual storyboarding before recording begins. Reduces reshoots and ensures content aligns tightly with learning outcomes.

Lesson 2 • Principles of Effective Instructional Video

Covers segmentation, signalling, and coherence principles that maximise retention. Establishes evidence-based rules applied in every production decision.

Lesson 3 • Editing and Post-Production Workflow

Guides trimming, captioning, and export settings for platform-ready video files. Establishes a repeatable workflow that scales across an entire course.

Lesson 1 • Rubric Design for Peer Assessment

Builds analytic and holistic rubrics calibrated for consistent peer scoring. Reduces rater variance and increases learner trust in peer feedback.

Lesson 2 • Automated and Scalable Feedback

Designs feedback messages triggered by quiz responses and assignment submissions. Ensures every learner receives actionable guidance without instructor bottlenecks.

Lesson 3 • Assessment Types for Large-Scale Courses

Compares auto-graded, peer-assessed, and project-based formats by validity and scalability. Guides selection of the right assessment type for each learning outcome.

Lesson 1 • Cohort and Peer Learning Structures

Designs cohort schedules, study groups, and collaborative projects for social learning. Leverages peer networks to deepen understanding and reduce isolation.

Lesson 2 • Discussion Forum Strategy

Structures prompts, norms, and moderation workflows for productive asynchronous discussion. Transforms forums from ghost towns into active knowledge-building spaces.

Lesson 3 • Gamification and Motivation Mechanics

Applies points, badges, leaderboards, and progress bars to sustain learner motivation. Balances extrinsic rewards with intrinsic goal alignment.

Lesson 1 • Key MOOC Metrics and Dashboards

Defines enrolment, completion, engagement, and assessment metrics tracked on platform dashboards. Establishes a baseline measurement framework for ongoing improvement.

Lesson 2 • Learner Feedback Collection Methods

Designs end-of-module surveys, exit tickets, and NPS-style instruments for qualitative insight. Complements quantitative analytics with learner-reported experience data.

Lesson 3 • Interpreting Learner Behaviour Data

Translates clickstream and time-on-task data into actionable instructional diagnoses. Connects data patterns to specific design flaws requiring intervention.

Lesson 1 • Live Course Operations

Manages announcements, learner support tickets, forum moderation, and technical issues during a live run. Maintains learner trust and momentum throughout the active cohort.

Lesson 2 • Course Retirement and Archiving

Defines criteria for retiring, archiving, or replacing outdated course versions. Protects institutional reputation and ensures learners access current, accurate content.

Lesson 3 • Marketing and Enrolment Strategy

Covers course page optimisation, audience targeting, and promotional channel selection. Drives qualified enrolment that matches the course's intended learner profile.