The document discusses instructional data analysis and data teams. It defines a data team as a group of educators that collaboratively uses data to identify opportunities for improvement, develop plans to address them, implement changes, and reflect on results. The document outlines the data team process and provides examples of how data can be analyzed, including examining frequency distributions by subgroup, common core strand analysis, and comparing p-values. It emphasizes using data to inform instructional decisions and continually assessing the impact of changes made by data teams.
Community presentation made to the Ellesmere Cluster near Christchurch. Outlines the case for re-thinking our approach to education in the 21st century, and how this applies to the use of technology, planning for learning spaces, and changes in teacher practice.
Community presentation made to the Ellesmere Cluster near Christchurch. Outlines the case for re-thinking our approach to education in the 21st century, and how this applies to the use of technology, planning for learning spaces, and changes in teacher practice.
Keynote presentation at the 2021 FLANZ conference in Wellington. Illustrates the historical development of open, flexible and distance learning in NZ and projects forward to imagine learning in a 'borderless' system.
Professional Development Y3 ssp 12 13 l14Miles Berry
Many teachers might seem reluctant to make extensive use of ICT in their teaching or to teach the ICT curriculum as effectively as they might. Furthermore, the rapid pace of technological change ensures that you and your colleagues face the continual challenge of staying up to date with technology and its use in schools. Web based communities and networks provide many opportunities for professional development and peer support.
We consider the importance of ongoing CPD and explore a number of approaches to this. Within a community of practice model, you reflect on the process of your professional formation as a teacher, comparing and contrasting this with your subsequent professional development.
I discuss a number of online resources, networks and communities of relevance to primary ICT or e-learning coordinators and you explore a number of these. We look at how you might facilitate your future colleagues professional development, through face-to-face gatherings and online communities.
A presentation about how the Sandhurst Diocese in Victoria, Australia has gained huge momentum in the importance of ICT in schools which has lead to the development in schools beginning to implement 1:1 laptop programs
Trends in e-learning: Research & Practices by Ana Paula Correia PhDInês Araújo
Apresentação da Prof.ª Ana Paula Correia (Iowa State University, USA) que decorreu no dia 30 de Novembro no âmbito do MyMPeL 2013 na Universidade Aberta, Lisboa.
Stratosphere - Learning in a Connected World is a summary of Fullan's book, Stratosphere and the requirement to link pedagogy, technology and change knowledge if the goal is to have system transformation for learning and teaching in the 21st Century.
Webinar slides originally presented by Dr. Dale McManis on September 22, 2011, reviewing best practice tip for selecting developmentally appropriate technology for children.
My closing keynote address at the 2011 International Association of School Librarianship (IASL) 40th Annual Conference incorporating the 15th International Forum on Research in School Librarianship.
Conference Theme: School Libraries: Empowering the 21st Century Learner
Date: 7 to 11 August 2011
Venue: The University of West Indies in Kingston, Jamaica
Keynote presentation to the national conference of the Association of Independent Schools, Wellington. Focus on learning from the past, looking to the future and living in the present.
Keynote presentation by Lyn Hay, School of Information Studies, Charles Sturt University
Treasure Mountain Research Retreat #19‘The Learner in the Learning Commons’
November 13-14, 2013, Hartford, Connecticut, USA
This presentation was delivered to OCSOA region two in May 2013. The focus was on the role of leadership in helping to transition a K-12 school district to learning and teaching in the 21st Century.
Keynote presentation at the 2021 FLANZ conference in Wellington. Illustrates the historical development of open, flexible and distance learning in NZ and projects forward to imagine learning in a 'borderless' system.
Professional Development Y3 ssp 12 13 l14Miles Berry
Many teachers might seem reluctant to make extensive use of ICT in their teaching or to teach the ICT curriculum as effectively as they might. Furthermore, the rapid pace of technological change ensures that you and your colleagues face the continual challenge of staying up to date with technology and its use in schools. Web based communities and networks provide many opportunities for professional development and peer support.
We consider the importance of ongoing CPD and explore a number of approaches to this. Within a community of practice model, you reflect on the process of your professional formation as a teacher, comparing and contrasting this with your subsequent professional development.
I discuss a number of online resources, networks and communities of relevance to primary ICT or e-learning coordinators and you explore a number of these. We look at how you might facilitate your future colleagues professional development, through face-to-face gatherings and online communities.
A presentation about how the Sandhurst Diocese in Victoria, Australia has gained huge momentum in the importance of ICT in schools which has lead to the development in schools beginning to implement 1:1 laptop programs
Trends in e-learning: Research & Practices by Ana Paula Correia PhDInês Araújo
Apresentação da Prof.ª Ana Paula Correia (Iowa State University, USA) que decorreu no dia 30 de Novembro no âmbito do MyMPeL 2013 na Universidade Aberta, Lisboa.
Stratosphere - Learning in a Connected World is a summary of Fullan's book, Stratosphere and the requirement to link pedagogy, technology and change knowledge if the goal is to have system transformation for learning and teaching in the 21st Century.
Webinar slides originally presented by Dr. Dale McManis on September 22, 2011, reviewing best practice tip for selecting developmentally appropriate technology for children.
My closing keynote address at the 2011 International Association of School Librarianship (IASL) 40th Annual Conference incorporating the 15th International Forum on Research in School Librarianship.
Conference Theme: School Libraries: Empowering the 21st Century Learner
Date: 7 to 11 August 2011
Venue: The University of West Indies in Kingston, Jamaica
Keynote presentation to the national conference of the Association of Independent Schools, Wellington. Focus on learning from the past, looking to the future and living in the present.
Keynote presentation by Lyn Hay, School of Information Studies, Charles Sturt University
Treasure Mountain Research Retreat #19‘The Learner in the Learning Commons’
November 13-14, 2013, Hartford, Connecticut, USA
This presentation was delivered to OCSOA region two in May 2013. The focus was on the role of leadership in helping to transition a K-12 school district to learning and teaching in the 21st Century.
Australian university teacher’s engagement with learning analytics: Still ea...Blackboard APAC
This session reports the results of a recent OLT-funded national exploratory study addressing the relevant factors and their impact when implementing learning analytics for student retention purposes. The project utilised a mixed-method research design and yielded a series of outputs, including the development of a non-technical overview of learning analytics, focusing on linking the fields of student retention and learning analytics resulting in an institution level survey focusing on sector readiness and decision making relating to utilising learning analytics for retention purposes. An academic level survey was administered to academic staff exploring their progress, aspirations and support needs relating to learning analytics. Follow-up interviews expanded on their experiences with learning analytics to date. An evidence-based framework was developed, mapping important factors affecting learning analytics decision making and implementation. This was illustrated by a suite of five case studies developed by each of the research partner institutions detailing their experiences with learning analytics and demonstrating why elements in the framework are important. These findings were shared and tested at a National Forum in April 2015.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Data Driven Instructional Decision MakingA framework.docxwhittemorelucilla
Data Driven
Instructional Decision Making
A framework
Data –Driven Instruction
Data-driven instruction is characterized by cycles
that provide a feedback loop
in which teachers plan and deliver instruction, assess student
understanding through the collection of data, analyze the data, and
then pivot instruction based on insights from their analysis.
From: Teachers know best: Making Data Work For Teachers and Students
Bill & Melinda Gates Foundation
https://s3.amazonaws.com/edtech-production/reports/Gates-TeachersKnowBest-MakingDataWork.pdf
Data-Driven Decision Making Process Cycle
Data Planning
and
Production
Data Analysis
Developing
an Action
Plan
Monitoring
progress
Measuring
Success
Implementing
the Action
Plan
Data is used
From : Teachers know best: Making Data Work For Teachers and Students
Bill & Melinda Gates Foundation
https://s3.amazonaws.com/edtech-production/reports/Gates-
TeachersKnowBest-MakingDataWork.pdf
Data –Driven Instruction Feedback Loop
Data Planning
and
Production
Data Analysis
Developing an
Action Plan
Monitoring
progress
Measuring
Success
Implementing
the Action
Plan
Data –Driven Instruction Feedback Loop
Data Planning
and
Production
Data Analysis
Developing an
Action Plan
Monitoring
progress
Measuring
Success
Implementing
the Action
Plan
Instructors need to
facilitate this data –driven
instruction decision loop
in a timely and smooth
fashion
…and on an ongoing basis
• Per student
• Per class
• Per group
Data –Driven Instruction Feedback Loop
Roles Inherent in the Data-Driven Instruction
Decision Making Loop
• Planner
• Data Producer
• Data Analyst
• Monitor
• Reporter
• Data End User
• IT
• Operations and Logistics
Data Planning and Production Questions
• What questions are to be addressed in future data-informed
conversations? Which questions are more important?
• What information (metrics) are needed to answer these question?
• Is the information available and feasibly attainable?
• Are the necessary technology and resources available?
• How can current non-data based instructional decision making be
mapped to data-based instructional decision making process?
• What are the costs associated with this endeavor?
• What are the timelines ?
• How and when will the data be collected and stored?
Data Analysis Questions
• What relations exists between the metrics? What patterns do
the data reveal?
• How many levels of the metric are needed to answer the
questions?
• Do the original questions need to be revised or expanded?
• Do the original metrics need to be redefined or expanded?
• What analytical tools are currently available? What tools
need to be designed to support the analysis?
• What method of analysis or evaluation will be used?
• What are the data limitations, strengths, challenges, context?
Monitor Questions
• How are the metrics evolving as the learning and instructional
processes evolve.
Moving Forward on Learning Analytics - A/Professor Deborah West, Charles Darw...Blackboard APAC
Learning analytics is a 'hot topic' in education with many institutions seeking to make better use of the data available via various systems. One of the key challenges in this process is to understand the business questions that people working in various roles in institutions would like to be able to answer. However, it is also important that these questions are appropriately structured and specific in order to gather the relevant data. This session builds on the workshop run at last year's Blackboard Learning and Teaching conference where participants explored business questions and use cases for learning analytics from a range of perspectives.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
The ability to collect, manipulate, analyze, and act on vast amounts of data presents a potentially powerful opportunity for educational researchers. The explosive growth of interest in data analysis in turn has been driven by research into online education, by scholars with access to data at an unprecedented scale, and by government, social services and non-profits leveraging data for social good. This emerging discipline of data science relies on a novel mix of mathematical and statistical modeling, computational thinking and methods, data representation and management, and domain expertise.
This talk is about a National Science Foundation awarded research project and was presented at the Big Data National PI conference in Washington, DC March15-17. 2017.
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
Building Data Literacy Among Middle School Administrators and Teachers
Data literacy is an essential trait for middle school administrators and teachers to possess. In this session, the Research and Accountability Team from Durham Public Schools will discuss how it has expanded its focus on Data-to-Action to building data literacy amongst its middle school administrators and teachers during 2013-14.
J. Brent Cooper, Terri Mozingo & Karin Beckett Durham Public Schools - Durham, NC
Education, data policy and practice - Kim Schildkamp EduSkills OECD
This presentation was given by Kim Schildkamp of the University of Twente, Netherlands at the GCES Conference on Education Governance: The Role of Data in Tallinn on 12 February during the session on Keynote: Education data, policy and practice.
Presentation for the American Sociological Association's Department Affiliates Webinar Series. Discussion of using quantitative data in courses throughout the undergraduate curriculum, including why it's a good practice, how it can be done, and where one can find resources that make it easier.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
1. DAI
Instructional Data Analysis
&
Data Teams
Karen Brooks
Coordinator Instructional Data Analysis, Technology & Assessment
May 6th
, 2014
kbrooks@ulsterboces.org
http://www.karenbrooks.wikispaces.com
http://www.slideshare.net/kbrooks
2. Focus for Today
• Instructional Data Analysis &
Data Teams:
– What are they?
– How do they function?
– How do they relate to me?
3. Break Down for Day
• 9 AM Begin
• 10:45 -11:00 Break
• 12:00 – 12:30 Lunch
• 1:45 – 2:00 Break
• 3:00PM Conclude
8. Data Driven Teams
Data Driven Schools
Three Pillars of NYS Education
• NYS Common Core Learning Standards
• http://www.engageny.org/resource/new-york-state-p-12-common-core-learning-standard
• Data Driven Instruction
• http://www.engageny.org/data-driven-instruction
• APPR
• http://www.capregboces.org/APPR/FAQs.c
fm
10. So What is a Data Team?
• A data team can generally be defined
as a group of educators
collaboratively using data to identify
and understand opportunities for
improvement, then working together
to make changes that get
measureable results. Using protocols
for collaborative inquiry, the group
follows a process in which members
prepare, implement, and reflect on
data-informed actionable goals.
• This simple definition can be applied
broadly at many levels within a
district.
• At the classroom level, teachers use
data to identify student learning
problems and work together to plan
instructional changes that will yield
improvements in learning.
• At the school level, principals and
school improvement teams use data
to identify goals to drive
improvements in the ways teachers
collaborate and learn, thereby
improving results for all students.
• Within a district office, many
departments and leaders use data to
make decisions regarding the
management and efficiency of their
particular responsibilities.
Cheat Sheet:
http://www.sde.ct.gov/sde/lib/sde/pdf/curriculum/cali/dddm_desktop_reference_guide.pdf
11. Instructional Data Team Standards
Rubric
• http://www.sde.ct.gov/sde/lib/sde/pdf/curriculum/cali/standards_for_instructional_data_teams.pdf
Sections
• Membership
• Structure
• Process
• Gap Analysis
• Instructional
Action Planning
Always looking at
process not people.
17. Taking Multiple Measures Further
What data would we need in
each of these areas?
• Demographics
• Perceptions
• Student Learning
• School Improvement
Next Steps
• What is the source for this
Data?
• Who has the access?
18. District Data Team Samples
• http://www.middletownschoo
ls.org/page.cfm?p=7538 -
Website
• http://www.sde.ct.gov/sde/lib
/sde/pdf/curriculum/cali/3bdt
datateammeetingsteps.pdf
Collecting, Charting and
Discussing
• https://docs.google.com/a/uls
terboces.org/viewer?
url=http://www.sde.ct.gov/sd
e/lib/sde/word_docs/cali/data
_teams/guidelines_for_data_
walls.doc Data Walls
GuideLines
20. Things are not always what they first
appear
Need to keep focused
21. Data Collected Needs to be Consistent
in order to have Validity
• School Data a Comedy – Dirty Data – Example
PBIS
• https://www.youtube.com/watch?
v=XBv95uMFudE
22. Data Teams
5 Essential Questions They Ask
• Where are we now?
• Where do we want to be?
• How did we get to where we are now?
• How are we going to get to where we want to
be?
• Is what we are doing making a difference?
25. Some Start with a
Data Team Survey.
This focuses the
team.
It also helps to
focus the essential
or guiding questions
that keep the team
on track.
Simply put, what is
the problem of
focus?
26. Definition of an Essential Question
"A guiding question is the fundamental query
that directs the search for understanding."
Guiding questions help provide focus.
27. What do Guiding Questions Look Like?
CHARACTERISTICS:
• Good guiding questions are open-ended yet
focus inquiry on a specific topic.
• Guiding questions are non-judgmental, but
answering them requires high-level cognitive
work.
• Good guiding questions contain emotive
force and intellectual bite.
• Guiding questions are succinct. They contain
few words but demand a lot.
ADVICE FOR DEVELOPING GOOD
GUIDING QUESTIONS:
• Determine the theme or concept you want to
explore.
• Brainstorm a list of questions you believe might
cause your to think about the topic but that
don't dictate conclusions or limit possible
directions of investigation. Wait to evaluate and
refine the list until you have several possibilities.
• The question must allow for multiple avenues
and perspectives.
• Consider the six queries that newspapers
answer: who, what, when, where, how, and why.
28. Sample Guiding Questions
SAMPLE GUIDING QUESTIONS for DATA STUDY:
• How do student outcomes differ by demographics,
programs, and schools?
• To what extent have specific programs,
interventions, and services improved outcomes?
• What is the longitudinal progress of a specific
cohort of students?
• What are the characteristics of students who
achieve proficiency and of those who do not?
• Where are we making the most progress in closing
achievement gaps?
• How do absence and mobility affect assessment
results?
• How do student grades correlate with state
assessment results and other measures?
RESOURCES:
Traver, R. (March, 1998). What is a
good guiding question?
Educational Leadership, p. 70-73.
Ronka, D., Lachat, M, et. al.
(December 2008/January 2009).
Data: Now What? Educational
Leadership, p. 18-24.
29.
30. The Data Coordinator is always a Member of the Data Team
What Impact does this Team Have?
Build Awareness
• Build a vision for data use that is
grounded in positive student
outcomes
• Articulate the vision for district-
wide systemic data use clearly
and repeatedly with all
stakeholders to paint an evident
image of how the future will be
better if all engage in this work
• Develop and communicate a
sense of positive urgency
• Share the structure and function
of the District Data Team with
school-level teams
Understand Concerns
• Talk openly with staff at all levels
in the district about stress they
may experience as change is
implemented
• Actively listen: solicit and act
upon the concerns of staff
members to facilitate the change
process
• Acknowledge losses that people
may feel as they shift established
habits and approach their work in
new ways
31. Continued
Model the Process
• Lead by example, not by
edict
• Publicly demonstrate how
the District Data Team is
moving toward the vision
• Present the district-level
data overview with school-
level participants and other
district stakeholders
• Design district-level action
plans using the Data-Driven
Inquiry and Action Cycle
Manage the Process
• Conduct and maintain a
data inventory that includes
– school-level data
– Coordinate the upload of
local data to the Data
Warehouse
– Maintain an up-to-date data
dissemination schedule
– Disseminate relevant data
sets and displays for school-
based action
35. Let’s Look at Some Data:
» Frequency Distribution by Subgroup
» Frequency Distribution
» CC Strands Analysis
» P-Value Comparison
» Sample Grade 6
Glossary of Assessment Terms
40. P-Value
• This common view shows
the p-value for each
question. For multiple
choice items, p-value is
the proportion of
students responding
correctly. For constructed
response items, p-value is
the mean raw score
divided by the maximum
number of score points
for an item.
• District performance on
individual questions can
be compared to regional
levels to determine how
similar students
performed on a particular
question.
• The larger the sample size
the more accurate the
results.
41. P-Value Basics
• Also referred to as the p-value.
• The range is from 0% to 100%, or more
typically written as a proportion of 0.0
to 1.00.
• The higher the value, the easier the
item.
• Calculation: Divide the number of
students who got an item correct by the
total number of students who
answered it.
• Ideal value: Slightly higher than midway
between chance (1.00 divided by the
number of choices) and a perfect score
(1.00) for the item. For example, on a
four-alternative, multiple-choice item,
the random guessing level is 1.00/4 =
0.25; therefore, the optimal difficulty
level is .25 + (1.00 - .25) / 2 = 0.62. On a
true-false question, the guessing level is
(1.00/2 = .50) and, therefore, the
optimal difficulty level is .
50+(1.00-.50)/2 = .75
• P-values above 0.90 are very easy items
and should be carefully reviewed based
on the instructor’s purpose. For example,
if the instructor is using easy “warm-up”
questions or aiming for student mastery,
than some items with p values above .90
may be warranted. In contrast, if an
instructor is mainly interested in
differences among students, these items
may not be worth testing.
• P-values below 0.20 are very difficult
items and should be reviewed for possible
confusing language, removed from
subsequent exams, and/or identified as an
area for re-instruction. If almost all of the
students get the item wrong, there is
either a problem with the item or
students were not able to learn the
concept. However, if an instructor is trying
to determine the top percentage of
students that learned a certain concept,
this highly difficult item may be necessary.
https://www.utexas.edu/academic/ctl/assessment/iar/students/report/itemanalysis.php
49. Balanced Assessments
• Same exams give
• Common Rubrics
• Assessments given during same time period
• Results are looked at through Data
conversations with building leaders.
• Conversations may also be grade level or
subject level wide. They may also be building
wide and make its way to the District Data
Team.