Test the ability to design and apply a mixed-methods research study to evaluate AI-driven educational interventions in higher education. Assess skills in formulating research questions and hypotheses; choosing appropriate convergent or sequential designs; selecting sampling strategies and quantitative (e.g., learning analytics, assessments, surveys) and qualitative (e.g., interviews, observations) instruments; planning data integration (triangulation, joint displays) and analysis (statistical tests, thematic analysis, mixed models); addressing validity, reliability, bias, and data privacy/ethics; and translating findings into actionable recommendations for stakeholders. Include a brief scenario-based study outline with methodological justification and an interpretation plan.