Student Advising and Monitoring System · Caraga State University

Catch academic risk early. Reach every student before it becomes a crisis.

SAMSIDA replaces manual advising spreadsheets with an early warning system. Its Intelligent Flagging Engine reads grades and attendance after every MIS sync, predicts who is slipping, and lines up Google Meet check-ins for advisors.

Built for Google Workspace sign-in on carsu.edu.ph accounts

Live from the flagging engine

1st Semester AY 2026-2027

Monitoring
21of 46 students flagged for outreach
  • High13
  • Medium8
  • Low25
Check-ins on the calendar9
Sessions resolved this term6of 10

Last engine run yesterday. Data comes from a simulated MIS feed.

Three portals, one early warning loop

Everyone sees exactly what they need to act on

Students never book appointments. The system flags, advisors reach out, and chairs see the whole picture.

Google OAuth

For students

Student dashboard

A calm, mobile-first view of academic standing that turns into a clear call to action when something needs attention.

  • Good-standing, escalating and at-risk states
  • One-tap Join Google Meet for scheduled check-ins
  • GPA, attendance and units at a glance
Open student dashboard
Google OAuth

For faculty advisors

Advisor portal

A prioritized roster that puts the highest-risk advisees first, with outreach and consultation logging built in.

  • Smart roster sorted by risk severity
  • Send Calendar invites with auto-generated Meet links
  • Log consultations in under a minute
Open advisor portal
Google OAuth

For department chairs

Institutional analytics

Risk distribution and resolution trends for every college, ready for institutional reporting.

  • Filter by college, term and risk category
  • Risk ring and term-by-term trend lines
  • Export flagged student lists to CSV
Open analytics

In this demo environment, sign-in is simulated and each portal opens with a sample CSU account. You can switch sample accounts inside each portal.

Intelligent Flagging Engine

Two layers of detection, tuned to the CSU grading scale

On the CSU scale 1.00 is the highest grade and 5.00 is failing, so a rising GPA means falling performance. The engine checks hard thresholds first, then looks at the direction of travel across past semesters.

Trajectory slope across terms

m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)²

x = term index, y = term GPA. Flag when m > 0.30.

Layer 1 · High risk

Immediate deterministic flag

  • GPA ≥ 3.00Current term GPA at or past the passing threshold
  • Attendance < 80%Below the minimum class attendance

Layer 2 · Medium risk

Predictive trajectory flag

  • Slope m > 0.30GPA rising more than 0.30 per term across at least three terms, while still passing

Escalating students get an early, low-pressure check-in, before a deterministic breach ever happens.

System-initiated, advisor-led

From flag to resolution without a single spreadsheet

  1. 01

    MIS sync

    Grades, attendance and units refresh from the university MIS every morning.

  2. 02

    Engine flags

    Deterministic and predictive rules re-score every student and raise new flags.

  3. 03

    Advisor outreach

    Advisors send a Google Calendar invite and a Meet link is generated automatically.

  4. 04

    Consultation logged

    Notes, action plans and outcomes close the intervention and queue any follow-up.

  5. 05

    Institutional insight

    Chairs track coverage and resolution rates by college and term.

  • Google OAuth 2.0 sign-in

    Designed for carsu.edu.ph Google Workspace accounts, with Calendar and Meet scopes for advisors.

  • Synchronized MIS records

    Grades, attendance and units arrive from the registrar feed. This demo uses a simulated feed.

  • Every action logged

    Invites, Meet links, engine runs and consultations are recorded for audit and reporting.

CSU SAMSIDACaraga State University

Caraga State University, Ampayon, Butuan City. Demo environment with simulated student records.