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Pass or Fail

A student-success platform that turns academic signals into clear, timely intervention guidance.

Overview

Pass or Fail helps educators understand student risk earlier by bringing attendance, assignments, grades, and recent performance trends into one clear view.

I designed the experience around fast, explainable decisions: review the student population, evaluate the academic signals behind a prediction, and move from risk insight to informed support.

Problem

Student support teams often have the right data but lack a fast, consistent way to see which learners need attention and why.

Solution

I created a focused workflow that turns everyday academic signals into understandable risk predictions, supporting evidence, and practical intervention guidance.

Outcome

  • Centralized student risk signals
  • Made intervention needs easier to prioritize
  • Turned prediction results into actionable support steps

Key Features

Student Overview

Surfaces risk levels, cohort distribution, and trends at a glance.

Risk Prediction

Turns academic inputs into a clear, understandable passing-risk result.

Academic Signals

Brings attendance, assignments, grades, and missing work into one evaluation.

Explainable Results

Shows the factors that most influenced each prediction.

Intervention Guidance

Connects risk insights to timely, learner-centered support.

Progress Tracking

Helps teams follow patterns across students and reporting periods.

Tech Stack

AIPredictive AnalyticsEducation TechnologyData Visualization

Turn student signals into timely support.

Explore how Pass or Fail makes academic risk easier to understand and act on.

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