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Blended and personalized schools create systems and routines to continuously monitor progress to tailor learning activities. Beyond just collecting and looking at data, educators, students, and families to ask “what next?” and identify specific actions - including interventions and extensions - based on the data to deepen learning. Elements of data use include:

  • Assessment
  • Data Analysis
  • Record of Progress
  • Monitoring and Sharing
  • Planning Time
  • Action Planning
Assessment

Assessment refers to the different ways - methods and tools - educators and students use to reflect on, evaluate, measure, and document readiness, learning progress, skill acquisition, or learning needs.

Data Analysis

Data are collected and reviewed to identify patterns and learning trajectories at the individual and group levels. This analysis allows educators and students answer the questions “what happened?” as well as “how do we know?” to inform further stages of data use.
Record of Progress

A record of progress (sometimes referred to as a “learner profile”) shows an up-to-date record of each student’s individual strengths, needs, motivations, and goals.
Monitoring and Sharing

As data are collected, analyzed, and compiled, educators, students, and families engage in an ongoing monitoring and sharing process to set goals, change plans, and stay on track.
Planning Time

Educators and students set aside concrete blocks of time to look at data, set goals, and plan.
Action Planning

Once data are analyzed, educators, students, and families use the insights gained to identify specific, concrete steps to address progress.

Assessment

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Example: Retrieval Practice - Power Tools for Instruction (IgnitED Research)

This video shares evidence from the learning sciences and a practitioner perspective around retrieval practice.

Cisco Junior High School

Multiple Uses of MAP Data

Cisco recently started using MAP assessments, which are used in a variety of ways to improve blended teaching and learning

Cisco Junior High School

Using Pretests and Posttests to Identify Learning Growth and Needs

Creating formative data with pretests and summative data with posttests

Locust Grove Middle School

Benchmarking Progress with MAP Tests

Identifying student needs and growth with MAP Assessments

Locust Grove Middle School

Identifying Mastery and Growth Areas with Pretests and Posttests

Using data from pretests and posttests to determine student progress

Valor Collegiate Academies

Formative Assessment Tool: Exit Tickets

Short, formative assessments to monitor student progress and inform instruction

Valor Collegiate Academies

Diverse Data Sources

Leveraging data from multiple sources to inform instructional decisions

Lovett Elementary School

Collecting Student Data through Varied Assessments

Teachers use multiple data points to better understand student progress

Lovett Elementary School

Student-initiated Assessment

Students request assessments to demonstrate mastery

Trailblazer Elementary School

Formative Assessment Tool: Plickers

Collecting formative assessment data instantly with minimal technology use

Pleasant View Elementary School

STAR Testing Data Use

Adaptive testing to measure student reading growth

LPS Richmond

Multiple Ways to Demonstrate Ongoing Progress

Allowing students to select from different program assessments to demonstrate readiness for mastery assessment

LPS Richmond

Cumulative Quizzes

Assessing prior learning objectives to check for and emphasize retention

LPS Richmond

Assessment Initiated by Student

Students request assessments to demonstrate mastery and set pace of course

LPS Richmond

Pre-Unit Diagnostics

Pre-assessments taken at the beginning of each unit to enable mastery-based progression and student choice, as well as promote student growth

LPS Richmond

Self-Grading and Peer-Grading

Rubrics-based grading to create academic reflection and dialogue

Roots Elementary

MAP Data Use

Assessing with NWEA MAP to determine Roots’ performance relative to other schools

Roots Elementary

6-8 Week Data Cycles

Mastery assessments every 6-8 weeks to measure student progress and identify learning needs

ReNEW DTA Academy

Mastery Videos

Students creating videos to demonstrate their knowledge of a standard

ReNEW DTA Academy

Network-Wide Interim Assessments

Additional assessments to measure grade-level progress

CICS West Belden

Periodic diagnostic process

Beginning-, middle-, and end-of-year data collection to develop Learner Profile