Plain-language explanation.
Assessment is how teachers and schools find out what students have learned. Formative assessment happens during learning — like asking questions or checking work in progress — to help students improve. Summative assessment happens at the end — like exams or final projects — to judge what has been achieved. Good assessment is fair, reliable, and actually measures what it claims to.
Core concepts and standard treatment.
Assessment purposes: diagnostic (identify prior knowledge and gaps before instruction), formative (monitor learning progress and provide feedback during instruction), and summative (evaluate achievement at end of instruction for grading, certification, selection). Key assessment qualities: validity (does it measure what it claims to?), reliability (consistent results across raters, occasions), fairness (no group bias), and authenticity (real-world relevance). Assessment formats: selected response (multiple choice, matching), constructed response (short answer, essay), performance assessment (portfolio, project, practical), and peer/self assessment.
Deeper theory, debates and edge cases.
Assessment for learning vs. assessment of learning: Black and Wiliam's meta-analysis established that formative assessment with effective feedback substantially improves student achievement (effect sizes 0.4-0.7). Effective feedback characteristics (Hattie and Timperley: feed up — where am I going?, feed back — how am I going?, feed forward — where to next?) are among the most powerful educational interventions. Standardised testing — national assessments (NAPLAN, SATs), international assessments (PISA, TIMSS, PIRLS) — enables system-level benchmarking but has narrowed curriculum through teaching to the test.
How it is applied in practice.
Assessment in higher education: outcomes-based assessment aligned with graduate attributes; competency-based assessment in professional education (medicine: OSCE, workplace-based assessment; law: moot courts; engineering: capstone projects). Academic integrity: AI-generated content has transformed plagiarism detection into AI detection — raising epistemological questions about authorship, assessment validity, and whether current written assessment formats remain fit for purpose. Accommodations and universal design for assessment ensure fair access for students with disabilities. Large-scale assessment data (PISA, Value-Added Models in school performance) are used in policy accountability systems — contested for narrowing educational goals to what is measurable.