Automated Assessment

Automated assessment — the use of AI to evaluate student work, from formative quizzes to high-stakes exams. Automated assessment spans multiple modalities — multiple-choice, short answer, essay, code, and performance-based evaluation.

Assessment modalities

Short answer and essay: Automated Grading, Automated Essay Scoring, and confidence-aware approaches handle free-text evaluation.

Code assessment: Bash grading and code review demonstrate programming assessment.

Formative assessment: A-level science automation and CoTAL focus on formative rather than summative use.

Performance assessment: Video engagement assessment and drawing assessment extend automation beyond text.

Quality and fairness

Automated assessment quality depends on Assessment Validity and Bias Mitigation. Language bias research shows that automated scoring can systematically disadvantage certain student populations.

Connections

Automated assessment connects to Automated Grading (the scoring mechanism), Assessment Validity (quality assurance), Formative Assessment (use context), Bias Mitigation (fairness), and Teacher Role (how automation changes instructor work).