Using the data below, describe all intervention strategies employed by the school to improve the academic performance of students identified by the early warning system.

Sunrise Middle School uses a multi-tiered system of support to address the academic, attendance, and behavioral needs of students identified through the Early Warning System. During the 2025–2026 school year, 281 students were identified with two or more early warning indicators. The most significant areas of concern included chronic absenteeism, suspensions, and Level 1 performance on statewide ELA and mathematics assessments.

We will use the following interventions:

• Data-Driven Small-Group Instruction: Teachers use FAST, common formative assessments, and classroom assessment data to identify specific skill deficits and provide targeted small-group instruction in reading comprehension, vocabulary, writing, and mathematics. Student progress is monitored every four to six weeks, and instruction is adjusted based on student performance.
• Close Reading and Text-Dependent Questioning: Teachers implement structured close-reading protocols and text-dependent questions that require students to analyze complex texts, determine meaning, cite relevant evidence, and strengthen comprehension. Student responses are monitored through classroom assessments, student work, and Collaborative Learning Group discussions.
• Collaborative Student Discourse: Teachers incorporate Accountable Talk, Socratic Seminars, and structured collaborative conversations to increase engagement, critical thinking, academic vocabulary, and evidence-based reasoning.
• MTSS/Response to Intervention Support: Students demonstrating continued academic, behavioral, or attendance concerns are referred to the school’s MTSS/Response to Intervention team. The team reviews available data, identifies barriers to student success, assigns targeted interventions, and monitors the effectiveness of those interventions.
• Ongoing Progress Monitoring: Student performance is monitored through FAST assessments, common formative assessments, classroom assessments, interim reports, report cards, periodic progress reports, attendance records, and behavior data. Students who do not demonstrate adequate progress receive adjusted or intensified support.
• Professional Learning Communities: Teachers collaborate during PLC and Collaborative Learning Group meetings to analyze student data, review student work, share effective instructional practices, plan remediation, and develop interventions for students demonstrating low proficiency.
• Parent and Family Conferences: Families of students identified through the Early Warning System are contacted and invited to participate in conferences to review academic, attendance, or behavioral concerns. School staff and families collaborate to develop strategies and supports that can be implemented at school and at home.
• Guidance and Student-Support Referrals: Students may be referred to the guidance department or other student-support personnel for academic planning, social-emotional support, attendance concerns, conflict resolution, and assistance with barriers that may affect school performance.
• Student Mentoring: Identified students may participate in mentoring programs, including the OK Institute and Minority Student Task Force, to strengthen student engagement, accountability, decision-making, goal setting, and connections with supportive adults.
• Attendance and Behavioral Interventions: Because chronic absenteeism and suspensions are significant early warning indicators, school staff monitor attendance and discipline data, communicate with families, provide counseling and mentoring, and develop individualized supports to reduce lost instructional time.

The effectiveness of these interventions will be reviewed regularly by teachers, school counselors, administrators, and the MTSS team. Student data will be used to continue, revise, or intensify interventions to ensure that students identified through the Early Warning System receive timely and appropriate support.

PLC Meeting Schedule

RtI Team Meeting Schedule

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