Technology-Enabled Instructional Design Training Course

Participants can design learner-centred digital experiences from evidence about users and tasks.

• Learner personas built from role, context, device access, and confidence data
• Journey mapping identifies friction points before, during, and after learning
• Cognitive load theory applied to screen layouts, sequencing, and media choices
• Chunking complex procedures into decision points, demonstrations, and retrieval practice
• Universal Design for Learning principles guide multiple engagement and expression routes
• Mobile-first design criteria for frontline, remote, and bandwidth-constrained learner groups

Participants can select and specify learning technologies against operational and design requirements.

• Technology selection matrix comparing functionality, integration, cost, support, and governance
• LMS requirements covering enrolment, roles, completion rules, reporting, and notifications
• Authoring tool comparison for branching scenarios, software simulations, and responsive output
• Virtual classroom features matched to discussion, demonstration, coaching, and assessment needs
• LXP, knowledge base, and performance-support roles within learning ecosystems
• Single sign-on, SCORM, and xAPI requirements documented for procurement teams

Participants can build blended learning journeys that allocate each activity to the right modality.

• Blended learning sequence connecting pre-work, live sessions, practice, and reinforcement
• Flipped classroom design assigns foundational content before facilitated problem-solving sessions
• Virtual session run sheets specify timing, interaction, breakout work, and contingencies
• Social learning mechanisms include peer review, communities of practice, and coaching
• Spaced retrieval schedules reinforce procedural knowledge after formal learning events
• Workflow learning assets provide searchable guidance at the point of need

Participants can produce build-ready storyboards for interactive digital learning assets.

• Storyboard structure specifies screens, narration, interactions, feedback, and developer notes
• Gagné's Nine Events sequence attention, instruction, practice, feedback, and retention
• Scenario-based learning uses realistic decisions, consequences, and corrective feedback
• Branching logic maps learner choices to evidence, consequences, and remediation paths
• Media selection rules distinguish when text, audio, video, animation, or simulation fits
• Content style guides define terminology, tone, visual hierarchy, and version control

Participants can design valid digital assessments and feedback aligned with workplace performance.

• Assessment blueprint aligns objectives, task conditions, evidence, and scoring criteria
• Knowledge checks distinguish recall, application, analysis, and judgement performance levels
• Scenario questions test decisions under realistic policy, risk, and customer constraints
• Item-writing rules prevent cueing, ambiguity, double negatives, and irrelevant difficulty
• Feedback design explains consequences, correct reasoning, and next learning actions
• Question banks use metadata for objective, topic, difficulty, and review status

Participants can specify accessible and inclusive digital learning content using recognised requirements.

• WCAG 2.2 requirements for contrast, keyboard access, focus order, and captions
• Alternative text distinguishes informative images, functional controls, and decorative visuals
• Captioning and transcript standards support video, audio, and recorded virtual sessions
• Plain-language techniques reduce unnecessary complexity in instructions, labels, and feedback
• Inclusive examples avoid assumptions about culture, ability, location, or employment status
• Quality assurance checklist covers links, interactions, scoring, media, and device testing

Participants can define learning data and evaluation measures that support improvement decisions.

• Kirkpatrick model links reaction, learning, behaviour, and results measures
• xAPI statements capture learner actions beyond course completion and assessment scores
• Learning analytics questions determine required events, fields, reports, and review cycles
• Dashboard metrics distinguish participation, completion, proficiency, transfer, and business outcomes
• Evaluation plans define baselines, comparison groups, data owners, and decision thresholds
• Privacy-by-design principles minimise personal data collection and retention periods

Participants can use generative AI within controlled instructional design and content-review processes.

• Generative AI use cases for outlines, scenarios, question drafts, and translations
• Prompt patterns specify learner role, performance context, constraints, and output format
• Human review checks accuracy, bias, confidentiality, copyright, and instructional quality
• AI governance rules define approved tools, data restrictions, approval, and attribution
• Adaptive learning claims assessed against evidence, content maturity, and implementation capacity
• Immersive technology selection considers task realism, safety, equipment, and maintenance costs

Participants can plan controlled production, testing, release and improvement of digital learning solutions.

• RACI matrix assigns design, approval, development, testing, and release responsibilities
• Agile production backlog prioritises learning assets, dependencies, risks, and acceptance criteria
• Subject matter expert review process controls accuracy, scope changes, and sign-off
• User acceptance testing validates completion tracking, accessibility, functionality, and reporting
• Release checklist covers LMS configuration, communications, support, and contingency arrangements
• Ninety-day application plan schedules pilots, feedback reviews, improvements, and ownership