This pack converts the ten-topic source curriculum into nine platform-ready modules, mapped onto the previously agreed competency-domain architecture: M1 (Electoral System) as the universal spine, three competency clusters — A: Information Integrity, B: Craft and Conduct, C: Safety and Resilience — and M8 (Accountability) as the closing module leading into the M9 Capstone Simulation.
Each module follows an identical structure for consistent upload into the LMS: Learning Objectives, an Async Lesson (written to double as a narration script and a low-bandwidth text version), a Nigerian Case Study with reflection prompts, a Live Lab with a full run-of-show and a designed Asynchronous Fallback for learners who cannot attend live, a four-level Assessment Rubric, and a Toolkit list of downloadable resources referenced in-lesson.
A known gap remains from the original redesign review: this curriculum, like its source document, contains no dedicated audio/video/visual production craft content despite the programme's “multimedia storytelling” title. That gap is intentionally not filled here so as not to introduce untested content into a live deployment pack; it remains scoped as a future M10 — Multimedia Production for Election Stories — to be built and piloted separately.
Course Content
M1
Learning Objectives
• Refresh advanced understanding of Nigeria's electoral structure and timelines
• Identify reporting entry points at presidential, state, and local levels
• Map key stakeholders and power dynamics
A1 Fact-Checking & Verification with Limited Resources
Learning Objectives
• Strengthen verification habits under time and budget pressure
• Verify claims, results, videos, and images during elections
• Build verification workflows for small newsrooms
A3 — Social Media Verification, Harassment & Digital Resilience
Learning Objectives
• Verify social media content in real time
• Respond to online harassment professionally
• Protect mental health and digital identity
Learning Objectives
• Identify and mitigate personal and institutional bias
• Apply ethical frameworks to difficult election decisions
• Ensure inclusive coverage across Nigeria's diversity
Learning Objectives
• Conduct risk assessments before and during election coverage
• Protect physical and digital safety
• Make informed decisions under pressure