Use Case 1: Early Warning System

Purchasing an early warning system that can predict which students are at risk of academic failure or dropping out using historical and real-time school data with an AI application such as BrightBytes or PowerSchool Predict. 

Users

Administrators, counselors, MTSS teams. 

Scenario

An AI system that analyzes attendance, behavior, grades and engagement patterns, and then flags students for intervention with recommendations for tiered support. 

Benefits

Early identification, more proactive interventions, reduced dropout rates. 

Risks

Data bias, student profiling, transparency of predictions.  

Metrics

Intervention rates, graduation rates, number of false positives and negatives. 

Use-Case 2

Purchasing an AI tutoring and homework application that could extend learning time with 24/7 AI support for students, such as Khanmigo or Squirrel AI. 

Users

Teachers and students 

Scenario

Teachers use AI data to adjust instruction and provide personalized support for each student.  

Benefit

Increased access, student engagement, personalized learning paths. 

Risk

Tool accuracy, digital divide, students AI dependency  

Metrics

Usage frequency, student achievement growth, user satisfaction 

Use Case 3: IEP Assistant

Purchasing an automated individualized education program, or IEP, development assistant that could support special education teams in drafting individualized education plans more efficiently, such as AI-enabled IEP generators like AbleDocs AI and AI-powered templates. 

Users

Special education teachers and case managers 

Scenario

Teachers will input baseline data and goals and then the system will suggest language, accommodations and goal structures

Benefits

Reduced paperwork time, improved compliance, more consistent language 

Risks

Misalignment with student needs, over-reliance, legal accuracy

Metrics

IEP completion time, compliance audit rates, teacher satisfaction

Use Case 4: AI-Assisted Teaching Practice

Purchasing an AI-assisted professional learning application that would recommend targeted professional development based on teacher practice and student performance data, such as SWIVL, Learn Platform, Coursera for Districts with AI plugins. 

Users

Teachers and professional development coordinators

Scenario  

System maps each teacher’s needs to available PD modules and then provides micro-credentials aligned to the district education and AI goals

Benefits

Targeted growth, efficient PD investments, personalized learning

Risks

Data privacy, relevance of recommendations, algorithmic bias

Metrics

PD completion rates, teacher growth measures, impact on classroom outcomes

Use Case 5: Chatbot for K-12 Parents

AI chatbot for district communication to answer common parent and student questions using natural language processing, such as Ada and Intercom AI. 

Users

Parents, students, office staff, communications teams

Scenario

Parents use chatbots to answer questions about things like bus schedules, policies, lunch menus. The application would escalate complex queries to human staff

Benefits

24/7 support, reduced staff burden, multilingual access

Risks  

Inaccurate responses, accessibility gaps, limited nuance

Metrics

Number of queries resolved, response time, family satisfaction surveys