Avaliação de Riscos para Estudantes

This Decision Flow evaluates a student's overall risk level by aggregating points associated with various academic performance metrics, behavioral indicators, and protective factors.

Solution components:

• A Decision Table named Behavioral Flags checks for specific negative behaviors (such as fighting, cheating, or bullying) and assigns negative point values for each flag present.

• A Decision Table named Protective Factors identifies positive support systems (such as extracurricular participation or tutoring) and assigns positive point values to them.

• A Decision Table named Current GPA assigns points based on Grade Point Average brackets, where higher GPAs result in scores closer to zero or slightly negative, and lower GPAs incur larger negative penalties.

• A Decision Table named Attendance % assigns points based on attendance rates, distinguishing between high attendance (low/negative points) and low attendance (higher points).

• A Decision Tree named Risk Score Path determines the final risk status ("At-Risk," "Warning," or "Monitor") and the corresponding action plan based on the total calculated score.

• A Decision Flow Student Risk Evaluation orchestrates these components:

• It gathers the outputs from the Behavioral Flags, Protective Factors, Current GPA, and Attendance % tables.
• It utilizes a calculation node to sum the points from these inputs into a totalScore.
• Finally, it passes this total score to the Risk Score Path tree to output the final student flag and riskPath.

Use this Decision Flow to automate the assessment of student well-being and standardize the intervention strategies based on calculated risk metrics.