Training Materials and eLearning Design Training Course

Participants can write measurable learning outcomes aligned with workplace assessment evidence.

• Bloom’s taxonomy selects appropriate cognitive levels for stated performance
• Performance objectives specify behaviour, conditions and acceptable criteria
• Terminal objectives separated from enabling knowledge and practice objectives
• Action verbs tested against observable evidence and workplace task requirements
• Assessment alignment connects outcomes, practice activities and final evidence
• Criterion-referenced assessment measures performance against predefined quality standards
• Distractors designed from credible misconceptions and common operating errors
• Assessment blueprints balance content coverage, risk and cognitive demand

Participants can create a sequenced learning architecture for a defined performance goal.

• ADDIE stages used to plan analysis, design, development and evaluation
• Learning journeys sequence prework, instruction, practice, feedback and transfer
• Content chunking groups concepts around decisions, tasks and job scenarios
• Simple-to-complex sequencing introduces foundations before exceptions and edge cases
• Worked examples reduce cognitive load during early skill acquisition
• Practice progression moves from guided tasks toward independent performance
• Spaced retrieval schedules review points after initial learning events
• Modality choices compare classroom, virtual, eLearning and performance support

Participants can select learning methods that support adult learners and manageable cognitive load.

• Andragogy links relevance, autonomy, experience and immediate application
• Cognitive load theory distinguishes intrinsic, extraneous and germane processing
• Prior knowledge checks identify where explanation or acceleration is needed
• Advance organisers connect unfamiliar content with existing mental models
• Interleaving contrasts related procedures to strengthen discrimination and recall
• Retrieval practice replaces passive review with effortful memory reconstruction
• Feedback timing matches learner capability, task complexity and error consequences
• Reflection prompts connect learning decisions with participant work situations

Participants can design instructor-led sessions with clear pacing, interaction and practice.

• Gagné’s Nine Events structure attention, instruction, practice and retention
• Session plans allocate time for explanation, demonstration, practice and review
• Facilitation methods matched to knowledge, procedures, judgement and attitudes
• Questioning funnels move from recall toward analysis and justified decisions
• Demonstration scripts make expert decisions visible for novice learners
• Virtual session design uses polls, chat, breakout rooms and shared boards
• Participation plans prevent long lecture sequences and uneven learner contribution
• Contingency plans address late arrivals, technical failures and compressed timings

Participants can specify facilitator and participant materials that support consistent delivery.

• Facilitator guides include timings, instructions, prompts and expected responses
• Delivery notes distinguish mandatory content from adaptable local examples
• Participant workbooks support note-taking, practice records and job application
• Slide decks separate visual explanation from trainer narration and detail
• Activity instructions state purpose, steps, timebox, outputs and debrief questions
• Debrief guides connect activity findings with performance standards and consequences
• Version control records owners, approvals, publication dates and change histories
• Brand templates applied without reducing readability or instructional clarity

Participants can design visual learning assets that clarify rather than distract from key content.

• Mayer’s coherence principle removes decorative content unrelated to stated outcomes
• Signalling highlights critical steps, decisions, warnings and relationships visually
• Segmenting divides complex processes into learner-controlled explanatory units
• Dual coding combines concise words with relevant diagrams and demonstrations
• Process maps show roles, handoffs, controls and exception routes
• Annotated screenshots direct attention to fields, actions and system feedback
• Data displays select tables, charts or dashboards for intended decisions
• Visual hierarchy uses contrast, grouping, alignment and white space intentionally

Participants can write realistic scenarios that develop workplace judgement and decision-making.

• Scenario design starts with a credible role, goal, constraint and consequence
• Decision points reflect actual choices rather than obvious test questions
• Branching paths show consequences of compliant, risky and incomplete actions
• Case evidence includes documents, data, stakeholder statements and system records
• Ambiguity introduced where learners must interpret policy or prioritise risks
• Feedback explains reasoning, standards and downstream operational consequences
• Role plays specify participant roles, briefings, observations and success criteria
• Scenario difficulty increases through time pressure, exceptions and competing priorities

Participants can select eLearning formats and write build-ready development specifications.

• eLearning formats compared: explainer, simulation, scenario, microlearning and reference module
• Learning objectives determine interaction type, media choice and assessment approach
• Functional specifications define navigation, completion, scoring and bookmarking behaviour
• Screen inventories identify purpose, content, interaction and media for each screen
• Asset registers track source files, permissions, owners and approval status
• Audio scripts distinguish narration, on-screen text, captions and sound cues
• Development handoffs define responsibilities between designer, developer and reviewer
• Acceptance criteria specify performance, accessibility, content and technical requirements

Participants can produce detailed storyboards that guide efficient eLearning development.

• Storyboard templates capture screen purpose, copy, visuals, interactions and developer notes
• On-screen copy uses plain language, meaningful headings and concise instructions
• Narration scripts avoid reading dense screen text word for word
• Interaction specifications define learner actions, states, feedback and completion rules
• Branch maps document decision routes, remedial loops and outcome screens
• Knowledge-check screens include stems, options, correct responses and feedback
• Media directions specify photography, illustration, animation and screen recordings
• Review annotations distinguish content corrections from design preference comments

Participants can design systems-training materials for accurate task completion and error recovery.

• System task maps identify trigger, inputs, actions, outputs and verification
• Show-try-do sequences structure software demonstration and guided practice
• Screen recordings focus attention through zoom, cursor cues and annotations
• Simulation modes distinguish demonstration, guided practice and independent assessment
• Data masking protects customer, employee and commercially sensitive information
• Error-recovery steps cover validation messages, corrections and escalation routes
• Job aids capture high-frequency tasks, exceptions and rarely used procedures
• Release updates trigger impact analysis for affected training assets

Participants can apply accessibility requirements when designing learning materials and eLearning.

• WCAG principles address perceivable, operable, understandable and robust digital content
• Heading structures support screen-reader navigation through documents and web pages
• Alt text describes meaningful images, diagrams and information-bearing graphics
• Colour contrast checked against minimum readability requirements for text
• Keyboard access tested for menus, interactions, media controls and assessments
• Captions, transcripts and audio descriptions support multimedia access needs
• Plain-language writing reduces unnecessary reading burden and interpretation errors
• Inclusive examples avoid stereotypes while reflecting diverse workplace roles

Participants can create assessments and feedback that demonstrate learning against defined criteria.

• Assessment methods matched to recall, procedure, judgement and performance outcomes
• Multiple-choice items avoid cueing, ambiguity, trivia and implausible distractors
• Short-answer questions specify expected terms, calculations or decision rationale
• Performance checklists identify observable steps, controls and quality standards
• Analytic rubrics separate criteria, performance levels and scoring descriptors
• Scenario assessments require evidence-based choices under realistic operating constraints
• Feedback explains why responses meet or miss specified performance criteria
• Item analysis reviews difficulty, discrimination and recurring misunderstanding patterns

Participants can run structured reviews that improve accuracy, usability and instructional quality.

• Quality checklists cover accuracy, alignment, usability, accessibility and technical function
• Content reviews separate factual validation from instructional design decisions
• Subject-matter expert reviews use focused questions and evidence requirements
• Editorial standards govern terminology, abbreviations, punctuation and plain language
• Proofing passes check copy, links, media credits and visual consistency
• Pilot feedback distinguishes learner preference from genuine performance barriers
• Defect logs record severity, owner, due date and resolution evidence
• Sign-off workflows confirm accountable approval before publication or launch

Participants can specify learning technology requirements and interpret basic learning data.

• SCORM packages communicate completion, status, score and session information
• xAPI statements record learner actions using actor, verb and object
• Learning management systems manage enrolment, assignments, completion and reporting
• Completion rules distinguish viewing, participation, passing score and demonstrated competence
• Data dictionaries define fields, calculations, sources and reporting owners
• Learning dashboards track participation, progress, assessment and drop-off patterns
• Privacy requirements limit collection, retention and sharing of learner data
• Technical test plans verify launch, tracking, bookmarking and reporting behaviour

Participants can plan evaluation evidence from learner reaction through workplace performance results.

• Kirkpatrick levels distinguish reaction, learning, behaviour and organisational results
• Evaluation questions start with decisions that stakeholders need to make
• Baseline measures establish pre-intervention performance and error patterns
• Level-two evidence combines assessment scores, demonstrations and confidence measures
• Transfer plans identify manager actions, practice opportunities and performance support
• Follow-up sampling tests whether workplace behaviours changed after training
• Return-on-expectation measures compare agreed success indicators with intended outcomes
• Evaluation reports present findings, limitations, recommendations and next actions

Participants can plan a learning-development project with realistic governance and production controls.

• Project charters define scope, deliverables, roles, milestones and decision rights
• RACI matrices assign responsible, accountable, consulted and informed stakeholders
• Work breakdown structures sequence analysis, design, build, review and launch tasks
• Effort estimates account for writing, media production, testing and revision cycles
• Risk registers identify content, technical, approval and capacity threats
• Review calendars protect subject-matter expert time and decision turnaround
• Change control assesses impact on scope, budget, schedule and quality
• Status reports communicate progress, blockers, decisions needed and next milestones

Participants can use rapid methods without losing instructional discipline or content control.

• SAM cycles use iterative design, prototyping, review and revision checkpoints
• Minimum viable learning products test critical assumptions before full production
• Content inventories identify reusable assets, gaps, owners and expiry dates
• Modular design supports updates without rebuilding unrelated learning components
• Reusable learning objects separate stable concepts from changeable policy details
• Rapid prototypes test interface, scenario logic and learner comprehension early
• Design sprints prioritise high-risk decisions before visual production begins
• Reuse criteria check relevance, currency, accessibility, permissions and technical compatibility

Participants can combine learning events and job aids into a coherent performance-support solution.

• Blended learning maps each objective to the most suitable learning channel
• Prework introduces terminology, baseline knowledge and diagnostic questions
• Live sessions focus on practice, discussion, coaching and difficult judgement
• Post-course tasks reinforce application through manager-led workplace assignments
• Electronic performance support provides checklists, decision trees and searchable guidance
• Job aids designed for point-of-need use under operational time pressure
• Communities of practice capture recurring questions, examples and peer solutions
• Manager briefings clarify reinforcement actions, observations and coaching conversations

Participants can manage learning content responsibly through clear ownership, permissions and governance.

• Copyright checks cover images, video, text extracts, fonts and third-party assets
• Creative Commons licences interpreted for attribution, adaptation and commercial use
• Confidential information removed from examples, screenshots and assessment scenarios
• Policy content assigned named owners, review dates and approval authorities
• Record retention rules determine storage, archival and disposal of learning records
• Bias reviews examine assumptions, representation, language and assessment fairness
• AI-generated content checked for accuracy, provenance, confidentiality and copyright risk
• Governance calendars schedule content reviews before policy or system expiry

Participants can build, review and present a complete workplace learning design pack for a defined performance need.

• Performance brief defines target audience, task, risks, constraints and success measures
• Learning architecture sequences outcomes, methods, practice, assessment and transfer support
• Facilitator or eLearning storyboard specifies build-ready learning materials and interactions
• Assessment plan maps evidence, scoring criteria, feedback and remediation routes
• Accessibility review checks structure, contrast, captions, keyboard access and plain language
• Quality review applies content, instructional, technical and stakeholder approval criteria
• Evaluation plan identifies baseline data, follow-up measures and decision points
• Final presentation defends design choices against business requirements and learner evidence