Understanding Discern Frameworks: A Comprehensive Guide

Welcome to Discern's suite of frameworks, designed to offer insightful analysis into K-12 student data. These frameworks are categorized into three types: Personalize, Measure & Track, and Screening, each correlating with a corresponding section on the Discern Home page. Here, educators can explore their data according to the framework types, allowing for easy navigation and analysis. Each framework provides unique data granularity and serves specific purposes tailored to educators' needs. Let's explore these frameworks:

Personalize Frameworks:

1. Academic Pursuits

   • Data Granularity: Weekly
   • Summary: Tailored for understanding students' academic interests and preferences.
   • Variables: College-and-career-planning, math-and-statistics, historical-studies-and-social-sciences, cultural-studies, scientific-inquiry-and-experiments, physical-education-and-health, art-history-and-appreciation, literature-and-reading-comprehension, language-arts-and-grammar, technology-and-computer-sciences.

2. Student Passions

   • Data Granularity: Weekly
   • Summary: Explores students' diverse interests and passions.
   • Variables: Sports-and-athletics, gaming-and-esports, cooking-and-food, pop-culture, social-media-trends-and-influencers, travel-and-exploration, animals-and-nature, digital-art-and-animation, creative-writing-and-storytelling, building-and-DIY-projects, photography-and-film-making, creative-arts, theater-and-drama, community-service-and-environmentalism.

Measure & Track Frameworks:

1. CASEL 5 Core Competencies

   • Data Granularity: Monthly
   • Summary: Evaluates students' social and emotional competencies.
   • Variables: Self-awareness, self-management, social-awareness, relationship-skills, responsible-decision-making.

2. School Climate

   • Data Granularity: Monthly
   • Summary: Assesses the emotional dynamics within schools.
   • Variables: Feeling-unsafe, sense-of-belonging, lack-of-belonging, respectful-communication, disrespectful-communication, cultural-competence, cultural-incompetence, healthy-student-teacher-relationships, unhealthy-student-teacher-relationships, sense-of-safety.

Screening Frameworks:

1. School Violence Threat Assessment

   • Data Granularity: Weekly
   • Summary: Identifies potential risks associated with school violence.
   • Variables: Intense-anger, mental-illness, depression, parental-absence, academic-poor-performance, previous-disciplinary-actions, holding-a-grievance, threatening-a-target, expressed-intent, planning-an-attack, suicidal-ideations, social-illness, family-financial-difficulties, family-based-substance-abuse, family-based-arrest, family-based-discord, family-based-mental-health-problems, abuse-neglect.

2. Gang Violence

   • Data Granularity: Weekly
   • Summary: Examines indicators of gang-related activity.
   • Variables: Aggressive-behavior, gang-related-communication-pattern, persistent-anger, weapons-related-behavior, recruitment-activity.

3. Bypass, Circumvention and Security Audit

   • Data Granularity: Monthly
   • Summary: Assesses online safety practices and cybersecurity risks.
   • Variables: Cybersecurity-risk-behavior, circumvention-engagement-behavior, filter-bypass-engagement-behavior.

4. Preventative Mental Health

   • Data Granularity: Weekly
   • Summary: Identifies students at risk of mental health challenges.
   • Variables: Connectedness, social-emotional-competence, purpose-and-meaning, potential-for-violence, potential-for-self-harm, potential-for-suicide, symptoms-of-depression.

Each framework within Discern is carefully crafted to provide valuable insights into students' academic, social, and emotional well-being. By leveraging these frameworks, educators can personalize learning experiences, track progress, and implement targeted interventions, fostering a supportive and enriching environment for all students. As Discern continues to evolve, additional frameworks will be introduced, further enhancing its capabilities to meet the diverse needs of educational communities.