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Best practices

Write measurable learning outcomes before designing instruction

Before building any course content, write learning outcomes using action verbs from Bloom's Taxonomy (e.g., "analyse", "evaluate", "design") rather than vague verbs like "understand" or "know". A well-formed outcome follows the structure: "The student will be able to [action verb] [content] [performance criterion]". Outcomes drive activity design and assessment choice, ensuring constructive alignment.

Do: "The student will be able to compare at least three instructional design models and select the most appropriate one for a given scenario." Don't: "Students will understand instructional design models."

Apply constructive alignment across objectives, activities and assessment

Constructive alignment (Biggs, 1996) requires that learning outcomes, teaching activities and assessment tasks are coherent. If an outcome targets critical analysis, activities must provide analytical practice and assessment must measure analytical performance - not mere recall.

Do: Design authentic assessments that mirror the competencies described in the learning outcomes. Don't: Use multiple-choice tests to assess competencies that require synthesis or evaluation.

Deliver timely and specific feedback

Feedback is most effective when provided close to task execution, specific to quality criteria and concrete about how to improve. Meta-analysis (Hattie & Timperley, 2007) ranks feedback among the highest-impact educational interventions. Generic praise ("Good work") or generic criticism provides no actionable information.

Do: "Your causal diagram is clear, but it omits the economic factor described in outcome 3. Expand paragraph 2 with quantitative examples." Don't: "Unsatisfactory. Please revise."

Embed formative assessment throughout the course

Insert structured formative checkpoints throughout the course: diagnostic quizzes at the start of each module, exit tickets at the end of sessions, peer review activities, in-platform polls. These provide real-time learning data, allowing instructional adjustments before it is too late to address gaps.

Do: Administer a 3–5 question quiz at the start of each module to verify prerequisite knowledge. Don't: Wait for the final exam to discover that half the cohort has not grasped a foundational concept.

Build learning progressions with adequate scaffolding

Sequence content in progressive stages of complexity and provide appropriate support (scaffolding) during initial phases, then gradually remove it to increase student autonomy. Follow Vygotsky's Zone of Proximal Development: propose tasks just above the student's current capability with support.

Do: Introduce worked examples, then semi-structured problems, then open-ended problems. Don't: Assign complex tasks without verified prerequisites or structured support.

Make assessment criteria explicit through rubrics

Before assigning a complex task, share the assessment rubric specifying criteria and expected performance levels. Students who know the criteria produce higher-quality work and develop self-assessment capacity. Rubrics reduce inter-rater variability.

Do: Publish the rubric alongside the assignment brief and discuss it with examples of work at different performance levels. Don't: Communicate criteria only after submission or rely on implicit expectations.

Ensure accessibility and inclusion in all course materials

Design materials following WCAG 2.1 guidelines: use readable fonts, adequate colour contrast, captions for videos, alt text for images and logical document structure for screen readers. Accessibility measures benefit all students, not only those with disabilities (Universal Design for Learning principle).

Do: Use structured headings (H1, H2, H3) in documents, add subtitles to videos, provide transcripts for audio content. Don't: Distribute materials solely as image files or un-captioned video.

Diversify modes of representation and expression

Following the UDL framework, offer content through multiple channels (text, audio, video, infographics) and allow students to demonstrate competencies in varied ways (written work, oral presentations, video, portfolio). Diversification reduces learning barriers related to cognitive styles and individual differences.

Do: Pair written explanations of a concept with a short explanatory video and a concept map. Don't: Rely exclusively on a single modality (e.g., lecture-only with no supplementary resources).

Structure and assess peer learning explicitly

Structured peer learning benefits both the student explaining (who consolidates understanding) and the student receiving the explanation (who hears it from a peer's perspective). Structure it with clear task descriptions, explicit criteria and training on giving feedback. Peer assessment, combined with a rubric, can effectively complement instructor evaluation.

Do: Form stable groups, assign defined roles (facilitator, note-taker, presenter) and use structured discussion protocols. Don't: Leave group work without structure, roles or process evaluation criteria.

Use learning analytics to inform continuous improvement

Use LMS analytics (completion rates, average scores per question, material access timestamps) to identify difficulty nodes and adapt resources. Analytics enable targeted interventions (contacting students who have not accessed the platform in several days) and inform course redesign for future cohorts.

Do: Analyse questions with the highest error rates to revise the corresponding concept explanation. Don't: Ignore platform data and rely solely on subjective impressions to make instructional decisions.

Teach and model metacognitive strategies explicitly

Explicitly teach learning strategies (retrieval practice, spaced repetition, elaboration), encourage reflection on the study process and provide self-assessment tools. Students with strong metacognitive skills - awareness of how they learn and monitoring of their own comprehension - achieve better results and are more resilient when encountering difficulty.

Do: Include metacognitive prompts in activities: "What did you understand well? What remains unclear? What strategy will you use to close this gap?" Don't: Focus only on content without prompting reflection on the learning process.

Calibrate workload against credits assigned

One ECTS credit corresponds to 25–30 hours of student work. A 6-ECTS course implies approximately 150–180 total hours. Verify that the sum of contact time, self-study, assignments and assessments matches this expectation. Excessive workload demotivates students and increases dropout; insufficient workload fails to produce deep learning.

Do: Pilot the course with a small cohort and ask students to log actual time spent on activities to calibrate workload. Don't: Add content without recalculating total hours or reducing the scope of the syllabus.