Assessment Design, Feedback & Student Progress Tracking
Course modules
01Align assessment with learning goals
Define what a sample activity should assess and the evidence needed. Distinguish classroom practice from high-stakes decisions requiring established institutional procedures.
02Draft questions and marking guidance
Create sample questions, answer guidance and simple rubrics for an agreed topic. Check accuracy, clarity and alignment before using any AI-assisted suggestion.
03Review fairness and accessibility
Examine sample tasks for ambiguous wording and unnecessary barriers. Discuss suitable adaptations using fictional learner profiles rather than making unsupported individual judgements.
04Prepare constructive feedback
Draft specific feedback that links observed work to the stated criteria. Verify AI-assisted wording and retain teacher responsibility for marks and final comments.
05Build a sample progress tracker
Organise fictional results with clear dates, criteria and calculation rules. Check totals and missing entries without treating a dashboard as a complete picture of a learner.
06Review reports and plan next steps
Prepare a concise sample progress summary with limitations and teaching actions. Document reviewer responsibilities and appropriate handling before any real-world use.
Course Enquiry
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Curriculum, duration and tuition are indicative and subject to confirmation. Use fictional student data; do not bring identifiable student records. AI outputs require teacher review and must not independently determine grades, admissions or other high-stakes learner decisions. Real-world use must follow applicable school and assessment requirements. This is practical skills training, not teacher licensure or professional accreditation. Software costs will be confirmed before enrolment. No employment or student-performance guarantee. An enquiry does not confirm a place.