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SHARNELL JACKSON, AUTHOR
DATA-DRIVEN INNOVATIONS CONSULTING
S P O N S O R E D B Y D R E A M B O X L E A R N I N G
USING DATA TO DRIVE
PERSONALIZED
MATH LEARNING NEEDS
Building a Sustainable Data
Analysis Framework
Common Challenges Involved
in Establishing Data-Driven
Practices
Incorporating Blended
Learning Environments to
Meet School Goals
Webinar Topics
How well can the teacher access and
act on data to inform instructional
decisions?
Where does data come from now?
How quickly can a teacher use the data to
personalize instruction?
Data Analysis Framework
Leadership
Data Coaches
Data Teams
Establishing a
Data Culture
Technology
Use
Data-Driven Decision Making
Benefits
Assessment for
Learning
Identifying
Learning Gaps
Student Goal
Setting
Stakeholder
Dialogue
Personalized
Learning
Collect and
prepare a
variety of data
about student
learning
Interpret data
and develop
hypotheses
about how to
improve
student
learning
Modify
instruction to
test
hypotheses
and increase
student
learning
Data Use Inquiry Cycle
Schoolwide Data Use
“One of the potentially powerful resources for
informing instructional and school improvement
school-wide data is enormously underutilized.”
“The distinguishing characteristics of school-wide data
are that they are frequently and systematically
collected across a grade level or content area about an
important student outcome and quickly aggregated
and examined for patterns that can help inform next
steps.”
Supovitz, J.A., Klein, V. (2003). Mapping a Course for Improved Student Learning: How Innovative Schools
Systematically Use Student Performance Data to Guide Improvement. Philadelphia: Consortium for Policy
Educators must have access to schoolwide
mathematics data that is frequently
collected and automatically aggregated to
determine strengths, weaknesses, and next
steps in student learning.
The data analysis inquiry process reveals
patterns, trends, opportunities for students
learning and school growth.
Schoolwide Data Use
The data use inquiry process must bring
evidence to bear on all standards-based
instructional decisions.
Educators must be empowered to use
common schoolwide assessment data that
is critical to accelerating mathematics
achievement and growth.
Schoolwide Data Use
Educators must be able to compare
multiple measures of data to verify
student learning problems, needs, and
effectiveness of mathematics
interventions.
Educators must be able to view trend data
in various dashboard graphs, matrices,
aggregated, and disaggregated to inform
instruction.
Schoolwide Data Use
Online adaptive learning tools for
mathematics can more efficiently identify the
root cause of student learning problems,
provide differentiated content and virtual
manipulatives to close achievement gaps.
Effective teaching must be anchored in timely
common schoolwide mathematics assessment
data, content, and provide differentiated
learning pathways for students.
Schoolwide Data Use
Data Analysis Protocol
1. Focused questions
2. Interpret data and
identify gaps
3. Analyze root cause
for gaps
4. Rules for root cause
analysis process
5. Root cause analysis
process
6. Developing a testable
hypotheses
7. Determine effect of
instructional
intervention
Drive Personalized Learning
Needs
Personalizing
Learning Needs
Classwork,
Quizzes,
Portfolios
Benchmark
Assessments
IEPs,
Attendance
, Behavior
Interim
Assessments
Diagnostic
Assessments
Formative
Assessments
Common
Schoolwide
Assessments
Personalizing Learning
Collect multiple forms of
formative assessment data about
student learning to verify causes
that will determine the next
instructional steps.
Interpret the data to develop
questions “Ask why” about how
to improve student learning
problems, modify instruction to
test solutions and interventions.Align the data with personalized
students’ needs to be able to map
out a course of instruction
appropriate to each students
diverse needs and cognitive
development.
Personalization of Student
Learning
• Teachers should make specific and continually
evolving plans to connect each learner with key
mathematics content.
• Teachers should provide the individualized
scaffolding in mathematics instruction that students
will need at various points in the learning process to
profoundly impact how they learn.
• Teachers should continually ask, “What does this
student need at this moment in order to be able to
progress with this key content, and what do I need
to do to make that happen?”
Leading and Managing a Differentiated Classroom
by C.A. Tomlinson & M.B. Imbeau, ASCD, © 2010, pp. 13-14
Accelerating Personalized
Learning
Collect Multiple
Assessment
Sources
Interpret Data to
Improve Student
Learning
Assign
Personalized
Content
Provide
Instantaneous
Feedback
Identify
Instructional
Interventions
Monitor Daily
Progress
Using Data to Drive Personalized Math Learning Needs
Online Adaptive Learning Tools Teach
Students to Examine Their Own Data and Set
Learning Goals
Explain
expectations
and
assessment
criteria.
Provide
feedback that
is timely,
specific, and
constructive
Help students
learn from
mistakes and
feedback
Use data
analyses to
guide learning
options.
Establish school-
wide professional
learning around data
use.
Define critical
teaching and
learning concepts
related to data use.Develop action plan
goals which are
attainable,
measurable, and
relevant.
Provide guidance on
using data to
supports the
school’s vision and
goals.
Leadership:
Establishing a Clear Vision for School-wide
Data Use
Provide supports that foster a
data-driven culture
Essentia
l
Support
s
Designate a
school-
based
facilitator to
discuss
data
Dedicate
structured
time for
staff
collaboratio
n
Provide
regular
targeted
professiona
l
developme
nt
Common Challenges
- Lack of pedagogical data literacy: Inability to
translate into actionable instructional knowledge
- Resistance: Educators may find data-driven decision-
making to hard and need to be convinced to expend
time to make it work
- Unprepared leadership: principals are many times
not prepared to help in the data-driven process
- Disconnection: between teachers and principals
Armstrong & Anthens, 2001; Mandinach, 2009a, 2009b, Wayman, Snodgrass Rangel, Jimerson, & Cho 2010;
Heritage, 2007
Common Challenges
- Time constraints: lack of time of structured time to
collaborate
- Lack of human capacity: around data-driven
decision-making
- A need for more instructionally valid data sources:
primarily common school-wide formative
assessments that are better aligned to teaching and
learning needsArmstrong & Anthens, 2001; Mandinach, 2009a, 2009b, Wayman, Snodgrass Rangel, Jimerson, & Cho 2010;
Heritage, 2007
Incorporating Blended
Learning
Blended learning particularly models
supported
by online adaptive learning programs or
tools
enable teachers to match the right
student with
Questions for Incorporating Blended
Learning
How does blended learning align with current
conceptions of online learning?
How does blended learning help engage students and
support academic success?
How are online learning and face-to-face instruction
being combined effectively?
Is blended learning meeting unique student needs
that neither fully online nor face-to-face models can
achieve?
What online adaptive learning tools, mathematics
curricula, and professional development are being
used in blended learning?
Blended Learning Models
Rotation Models:
Station Rotation – Students rotate among online learning,
small group
instruction, and paper assignments
Lab Rotation – Students rotate to a computer lab for the
online
learning station
Flipped Classroom – Students participate in online
learning off-site, in
place of traditional homework, and then attend the brick-
and-mortar
school for face-to-face, teacher-guided practice or
projects.
Individual Rotation – Each student has individualized
Incorporating Blended
Learning
Flex Model – A subject in which online learning
is the backbone of student learning
A La Carte Model – A course that a student takes
entirely online to accompany other experiences
that the students is having at a brick-and-
mortar school.
Enriched Virtual Model – A subject in which
students have required face-to-face session
with their teachers of record and then are free to
complete their remaining coursework online
with support of a teacher.
Teacher Professional
Development
Of more than 1,300 studies identified as potentially
addressing the effect of teacher professional
development on student achievement in three
content areas, nine meet the What Works
Clearinghouse evidence standards, attesting to the
paucity of rigorous studies that directly examine this
link.
The report finds that teachers who receive substantial
professional development--an average of 49 hours in
nine studies--can boost their students’ achievement
by about 21 percentile points.
Yoon, K.S., Duncan, T., Lee, S. W.-Y., Scarloss, B., & Shapley, K. (2007). Reviewing the
evidence on how teacher professional development affects student achievement (Issues
Provide on-site, live on-line, and self-paced
on-
demand professional development,
intelligent
adaptive learning tools to improve
instruction and
increase student proficiency.
Adopt a framework, process, and tools for
using
continuous formative assessment data to
Increasing Academic Rigor and
Growth!
Accelerate students individual learning needs by:
- Building the human capacity of teachers to use
formative assessments effectively by providing
customized professional learning
- Adopt a sustainable data analysis framework to inform
student-driven learning paths and increase
mathematics conceptual understanding
- Incorporate blended learning environments to
personalize learning and enable students of all abilities
to enjoy learning at their own pace, path, place, and
time by unlocking learning potential, accelerating
achievement, and closing learning gaps
From Data Collectors to Data
Innovators!
Insight Dashboards
32
Student Progress and Proficiency
Reports
Formative, Personalized Feedback
What incorrect answers would we expect on 29
+ 62 = ?
◦ 19 Student adds all four digits
◦ 33 Student believes this is a subtraction
problem
◦ 81 Student does not regroup to the tens
place
◦ 92 Arithmetic error in ones place
◦ 811 Student adds each column
independently
◦ 2962 Student combines digits
• How would you “score” each error?
• How would you respond to each error?
• What lesson(s) need to come before & after?
• Which of these errors are “naturally occurring”
?
Honoring Students’ Ideas
Engineered for exploration
Engineered for realizations
Engineered for understanding
THANK YOU!
Sharnell Jackson
sjackson@datadriveninnovations.com
Q & A
DreamBox Learning® K-8 Math
Available in English & Spanish
Intelligent Adaptive Learning
Engine
• Millions of personalized learning paths
• Tailored to a student’s unique needs
Motivating Learning
Environments
• Student Directed, Empowering
• Leverages Gaming Protocols
Rigorous Mathematics
Curriculum
• Reporting Aligned to CCSS,
Texas TEKS, Virginia SOL,
Canada WNCP, & Canada
Ontario Curriculum Reports
• Standards for Mathematical
Practice
DreamBox Lessons & Virtual Manipulatives
Intelligently adapt & individualize to:
• Students’ own intuitive strategies
• Kinds of mistakes
• Efficiency of strategy
• Scaffolding needed
• Response time
NEW Insight Dashboards
Seeing is believing!
www.dreambox.com/request-a-demo
We value your feedback, compliments,
suggestions, and complaints!
Let us know how we’re doing:
https://www.surveymonkey.com/r/YVWK8J6

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Using Data to Drive Personalized Math Learning Needs

  • 1. SHARNELL JACKSON, AUTHOR DATA-DRIVEN INNOVATIONS CONSULTING S P O N S O R E D B Y D R E A M B O X L E A R N I N G USING DATA TO DRIVE PERSONALIZED MATH LEARNING NEEDS
  • 2. Building a Sustainable Data Analysis Framework Common Challenges Involved in Establishing Data-Driven Practices Incorporating Blended Learning Environments to Meet School Goals Webinar Topics
  • 3. How well can the teacher access and act on data to inform instructional decisions?
  • 4. Where does data come from now? How quickly can a teacher use the data to personalize instruction?
  • 5. Data Analysis Framework Leadership Data Coaches Data Teams Establishing a Data Culture Technology Use
  • 6. Data-Driven Decision Making Benefits Assessment for Learning Identifying Learning Gaps Student Goal Setting Stakeholder Dialogue Personalized Learning
  • 7. Collect and prepare a variety of data about student learning Interpret data and develop hypotheses about how to improve student learning Modify instruction to test hypotheses and increase student learning Data Use Inquiry Cycle
  • 8. Schoolwide Data Use “One of the potentially powerful resources for informing instructional and school improvement school-wide data is enormously underutilized.” “The distinguishing characteristics of school-wide data are that they are frequently and systematically collected across a grade level or content area about an important student outcome and quickly aggregated and examined for patterns that can help inform next steps.” Supovitz, J.A., Klein, V. (2003). Mapping a Course for Improved Student Learning: How Innovative Schools Systematically Use Student Performance Data to Guide Improvement. Philadelphia: Consortium for Policy
  • 9. Educators must have access to schoolwide mathematics data that is frequently collected and automatically aggregated to determine strengths, weaknesses, and next steps in student learning. The data analysis inquiry process reveals patterns, trends, opportunities for students learning and school growth. Schoolwide Data Use
  • 10. The data use inquiry process must bring evidence to bear on all standards-based instructional decisions. Educators must be empowered to use common schoolwide assessment data that is critical to accelerating mathematics achievement and growth. Schoolwide Data Use
  • 11. Educators must be able to compare multiple measures of data to verify student learning problems, needs, and effectiveness of mathematics interventions. Educators must be able to view trend data in various dashboard graphs, matrices, aggregated, and disaggregated to inform instruction. Schoolwide Data Use
  • 12. Online adaptive learning tools for mathematics can more efficiently identify the root cause of student learning problems, provide differentiated content and virtual manipulatives to close achievement gaps. Effective teaching must be anchored in timely common schoolwide mathematics assessment data, content, and provide differentiated learning pathways for students. Schoolwide Data Use
  • 13. Data Analysis Protocol 1. Focused questions 2. Interpret data and identify gaps 3. Analyze root cause for gaps 4. Rules for root cause analysis process 5. Root cause analysis process 6. Developing a testable hypotheses 7. Determine effect of instructional intervention
  • 14. Drive Personalized Learning Needs Personalizing Learning Needs Classwork, Quizzes, Portfolios Benchmark Assessments IEPs, Attendance , Behavior Interim Assessments Diagnostic Assessments Formative Assessments Common Schoolwide Assessments
  • 15. Personalizing Learning Collect multiple forms of formative assessment data about student learning to verify causes that will determine the next instructional steps. Interpret the data to develop questions “Ask why” about how to improve student learning problems, modify instruction to test solutions and interventions.Align the data with personalized students’ needs to be able to map out a course of instruction appropriate to each students diverse needs and cognitive development.
  • 16. Personalization of Student Learning • Teachers should make specific and continually evolving plans to connect each learner with key mathematics content. • Teachers should provide the individualized scaffolding in mathematics instruction that students will need at various points in the learning process to profoundly impact how they learn. • Teachers should continually ask, “What does this student need at this moment in order to be able to progress with this key content, and what do I need to do to make that happen?” Leading and Managing a Differentiated Classroom by C.A. Tomlinson & M.B. Imbeau, ASCD, © 2010, pp. 13-14
  • 17. Accelerating Personalized Learning Collect Multiple Assessment Sources Interpret Data to Improve Student Learning Assign Personalized Content Provide Instantaneous Feedback Identify Instructional Interventions Monitor Daily Progress
  • 19. Online Adaptive Learning Tools Teach Students to Examine Their Own Data and Set Learning Goals Explain expectations and assessment criteria. Provide feedback that is timely, specific, and constructive Help students learn from mistakes and feedback Use data analyses to guide learning options.
  • 20. Establish school- wide professional learning around data use. Define critical teaching and learning concepts related to data use.Develop action plan goals which are attainable, measurable, and relevant. Provide guidance on using data to supports the school’s vision and goals. Leadership: Establishing a Clear Vision for School-wide Data Use
  • 21. Provide supports that foster a data-driven culture Essentia l Support s Designate a school- based facilitator to discuss data Dedicate structured time for staff collaboratio n Provide regular targeted professiona l developme nt
  • 22. Common Challenges - Lack of pedagogical data literacy: Inability to translate into actionable instructional knowledge - Resistance: Educators may find data-driven decision- making to hard and need to be convinced to expend time to make it work - Unprepared leadership: principals are many times not prepared to help in the data-driven process - Disconnection: between teachers and principals Armstrong & Anthens, 2001; Mandinach, 2009a, 2009b, Wayman, Snodgrass Rangel, Jimerson, & Cho 2010; Heritage, 2007
  • 23. Common Challenges - Time constraints: lack of time of structured time to collaborate - Lack of human capacity: around data-driven decision-making - A need for more instructionally valid data sources: primarily common school-wide formative assessments that are better aligned to teaching and learning needsArmstrong & Anthens, 2001; Mandinach, 2009a, 2009b, Wayman, Snodgrass Rangel, Jimerson, & Cho 2010; Heritage, 2007
  • 24. Incorporating Blended Learning Blended learning particularly models supported by online adaptive learning programs or tools enable teachers to match the right student with
  • 25. Questions for Incorporating Blended Learning How does blended learning align with current conceptions of online learning? How does blended learning help engage students and support academic success? How are online learning and face-to-face instruction being combined effectively? Is blended learning meeting unique student needs that neither fully online nor face-to-face models can achieve? What online adaptive learning tools, mathematics curricula, and professional development are being used in blended learning?
  • 26. Blended Learning Models Rotation Models: Station Rotation – Students rotate among online learning, small group instruction, and paper assignments Lab Rotation – Students rotate to a computer lab for the online learning station Flipped Classroom – Students participate in online learning off-site, in place of traditional homework, and then attend the brick- and-mortar school for face-to-face, teacher-guided practice or projects. Individual Rotation – Each student has individualized
  • 27. Incorporating Blended Learning Flex Model – A subject in which online learning is the backbone of student learning A La Carte Model – A course that a student takes entirely online to accompany other experiences that the students is having at a brick-and- mortar school. Enriched Virtual Model – A subject in which students have required face-to-face session with their teachers of record and then are free to complete their remaining coursework online with support of a teacher.
  • 28. Teacher Professional Development Of more than 1,300 studies identified as potentially addressing the effect of teacher professional development on student achievement in three content areas, nine meet the What Works Clearinghouse evidence standards, attesting to the paucity of rigorous studies that directly examine this link. The report finds that teachers who receive substantial professional development--an average of 49 hours in nine studies--can boost their students’ achievement by about 21 percentile points. Yoon, K.S., Duncan, T., Lee, S. W.-Y., Scarloss, B., & Shapley, K. (2007). Reviewing the evidence on how teacher professional development affects student achievement (Issues
  • 29. Provide on-site, live on-line, and self-paced on- demand professional development, intelligent adaptive learning tools to improve instruction and increase student proficiency. Adopt a framework, process, and tools for using continuous formative assessment data to Increasing Academic Rigor and Growth!
  • 30. Accelerate students individual learning needs by: - Building the human capacity of teachers to use formative assessments effectively by providing customized professional learning - Adopt a sustainable data analysis framework to inform student-driven learning paths and increase mathematics conceptual understanding - Incorporate blended learning environments to personalize learning and enable students of all abilities to enjoy learning at their own pace, path, place, and time by unlocking learning potential, accelerating achievement, and closing learning gaps From Data Collectors to Data Innovators!
  • 32. 32 Student Progress and Proficiency Reports
  • 33. Formative, Personalized Feedback What incorrect answers would we expect on 29 + 62 = ? ◦ 19 Student adds all four digits ◦ 33 Student believes this is a subtraction problem ◦ 81 Student does not regroup to the tens place ◦ 92 Arithmetic error in ones place ◦ 811 Student adds each column independently ◦ 2962 Student combines digits • How would you “score” each error? • How would you respond to each error? • What lesson(s) need to come before & after? • Which of these errors are “naturally occurring” ?
  • 39. Q & A
  • 40. DreamBox Learning® K-8 Math Available in English & Spanish Intelligent Adaptive Learning Engine • Millions of personalized learning paths • Tailored to a student’s unique needs Motivating Learning Environments • Student Directed, Empowering • Leverages Gaming Protocols Rigorous Mathematics Curriculum • Reporting Aligned to CCSS, Texas TEKS, Virginia SOL, Canada WNCP, & Canada Ontario Curriculum Reports • Standards for Mathematical Practice
  • 41. DreamBox Lessons & Virtual Manipulatives Intelligently adapt & individualize to: • Students’ own intuitive strategies • Kinds of mistakes • Efficiency of strategy • Scaffolding needed • Response time
  • 44. We value your feedback, compliments, suggestions, and complaints! Let us know how we’re doing: https://www.surveymonkey.com/r/YVWK8J6

Editor's Notes

  • #14: Sharnell
  • #20: We will also show how this works using DBL during the exercise
  • #21: Melissa - Please change this graphic if possible. Leadership: Establishing a Clear Vision for School-wide Data Use
  • #23: Lack of pedagogical data literacy: Inability to translate into actionable instructional knowledge Resistance: Educators may find data-driven decision-making to hard and need to be convinced to expend time needed to make it work Unprepared leadership: principals are many times not prepared to help in the data-driven process Disconnection: between teachers and principals
  • #24: Time constraints: lack of time of structured time to collaborate Lack of human capacity: around data-driven decision-making A need for more instructionally valid data sources: primarily common school-wide formative assessments that are better aligned to teaching and learning needs
  • #31: 20 times is the number of attempts it takes a teachers to master a new skill. The biggest hurdle for teachers is not learning new approaches to teaching but, implementing them
  • #32: Educators dashboards should be powered with real-time actionable formative assessment data that informs how different school and grade level usage links to progress and proficiency. Teachers should be able to access summarized, useful information via a online dashboard. Perhaps, most important, they can spend less time accessing and analyzing data, and more time focused on meeting the needs of each student. The DreamBox Insights Dashboard is perfect example of helping teachers connect to every math student every day by turning data into actionable insights, surfaces teachable moments, and changes the way educators connects with each student by providing: A whole new way to understand learning trends and tracking student progress Personalized instruction using real-time insights from learning data with pinpoint accuracy and progress against the standard, and as a result Facilitates more meaningful conversations by helping educators to know when to intervene and when to celebrate student success.
  • #33: Knowing where each student is at any given time in their level of proficiency is a challenge for even the best teachers. Student progress and proficiency reports makes it possible, at-a-glance teachers able to: Track usage Monitor Progress in the curriculum - Monitor proficiency for an entire class or an individual students
  • #34: Powerful data to drives a math culture by identifying what gaps need to be filled in understanding that provide foundational number sense. One high performing K-12 school started seeing children in K- 5th grades having great difficulty with number sense and started using a framework for data analysis to verify the cause. The administration and teachers adopted a data inquiry process, analyzed root cause for gaps, and developed a testable hypothesis that determined that classroom instruction was the problem. All K-5 classroom mathematics teachers were given targeted professional development in number sense and discovered their lack of proficiency in teaching number sense was the reason students were increasingly struggling with mathematics. Understanding number sense is foundational to proficiency in mathematics. This school now uses DreamBox for all students to ensure gaps in mathematics teaching and learning are resolved immediately. So the question is: How would you “score” each error? How would you respond to each error? What lesson(s) need to come before & after? Which of these errors are “naturally occurring” ? Do you have an effective adaptive learning tool that provides formative and personalized feedback to accelerate mathematics proficiency for all students?
  • #35: “How do we improve learning and teaching through the personalization of strategies, tools, and supports for students?” Adapting to the individual learner and honoring their ideas personalizes instruction for interventions as well as being given feedback to learn from mistakes. Does you district or school have an adaptive learning tool that: - Provide access and equity for ELLs - Develops skills and closes gaps fast Integrates assessment with instruction - Provides research-based, standards-aligned online math curriculum - Empowers teachers with actionable data, reporting, and - Can provide on-demand or custom PD needed to use data to differentiate instruction, monitor, and speed progress.
  • #36: Many of you are familiar with “Formative Assessment” which is “assessment for learning”. Effective teachers use formative and differentiated assessments on a frequent basis to structure inquiry-based instruction. The combination of instruction aligned with formative assessment creates feedback loops that can be used to identify students’ learning gaps, inform planning, and guide instruction. How efficient are your feedback loops? DreamBox offers nearly 1,800 engineered for exploration lessons with embedded for assessments and millions of paths through the curriculum to engage students exactly where they are, it adjusts in real-time adapting hints, level of difficulty, pace, and sequence.
  • #37: Teaching students to learn how to learn should be foundational to instructional. Educators no longer have to use data that is “dead on arrival” after the learning has occurred. This adaptive learning tool is designed around the idea of “Formative Instruction”—every lesson within the program utilizes virtual manipulatives that allow students to show their thinking— through rich, interactive and open ended problem solving lessons—and allows the capture of every decision a student makes including response time, strategy used, types of mistakes, how they learn and more.
  • #38: Adaptive learning tools, dashboard insights, blended learning, and on-demand professional development have taken instruction to a whole new level of efficiency and proficiency having a foundation of instructional strategies that have the highest probability of enhancing students mathematics achievement for all students from K-8 grade levels such as: - Identifying similarities and differences Summarizing Reinforcing effort and providing recognition Practice and homework Nonlinguistic representations Cooperative learning Setting objectives and providing feedback Generating and testing hypotheses Questions, cues, and advance organizers Based on this data, about a student and how they learn, students are provided with immediate, personalized assistance, adjusts the level of difficulty, scaffolding, sequencing, number of hints, and the pacing of problems based each student’s unique needs—And provides teachers with real-time, actionable data to increase their effectiveness in tailoring instruction, accelerating student proficiency and enabling them acquire a enduring conceptual understanding of mathematics concepts.
  • #41: DreamBox Learning provides a new class of intelligent adaptive learning technology is the true game changer in education. Combines 3 essential elements 1) Rigorous K-8 Mathematics – DreamBox uses virtual manipulatives that enable students to build conceptual understanding and procedural fluency. Provided standards-based reporting. 2) Motivating Learning Environments that are age-appropriate and motives learners to persist and progress. 3) Powerful Intelligent Adaptive Learning engine providing millions of personalized, student-driven learning paths—each one—tailored to a student’s unique needs.
  • #43: We have invested heavily in ensuring you, your fellow administrators, and your teachers have access to data that is meaningful and actionable. This fall, our new educator experience will become available. New dashboards will provide at-a-glace insights into student proficiency and program usage – helping educators determine what action is needed to have an even greater impact on student learning All dashboards present data intuitively, so you and your teachers can access the information you need, when you need it. Helps educators know when to stay the course and when to pivot instruction Allows teachers to facilitate more meaningful conversations. (Left) Teachers can dive deeper into specific information about how their class is performing against the standards. Here they can see which students have mastered the standard, which have not, and which have not attempted it. This data is based on continuous formative assessment. A teacher might use this report is in lesson planning - they can look at this report to gain insight into where each student is and then take action by creating learning groups or pulling a student aside for more 1:1 instruction. (Right)The activity feed allows teachers to see what students are working on. They can click into the demo lessons so they can experience the instruction - just like the student. Many teachers use this to expand their understanding of the math concept and develop new teaching strategies to support student learning.