Create a data analytics to predict academic risks

Prompt:

Act as a learning analytics specialist. Task: analyze student data to predict academic risk. Steps: Identify top predictive indicators (attendance, submission timing, assessment trend). Suggest data model (conceptual only). Recommend interventions to improve at-risk learner performance. Output: data insight summary + suggested intervention plan. Constraint: prioritize data privacy and ethics. Verification: check reasoning soundness without speculative correlation.