From theory to practice blending the math classroom and creating a data cultu...DreamBox Learning
Transitioning your school to a fully blended model that leverages data to inform school wide goals, drive classroom instruction, and form small groups takes time and buy-in. Whether you’re in the beginning stages of your blended journey, or are several years into it, it’s important to stay dynamic and reflective to ensure your blended initiative is having a positive impact on student success. Hear how Aldeane Comito Ries Elementary was able to take data beyond the classroom and continue to successfully incorporate it into their school’s infrastructure.
Join the staff at Aldeane Comito Ries Elementary to hear about how they:
• Received buy-in from their staff at all levels
• Specifically use data in their day-to-day
• Continue to transform classroom teaching and learning
Overview of the New Jersey Education to Earnings Data SystemKathy Krepcio
Overview of the New Jersey Education to Earnings Data System, a partnership of the John J. Heldrich Center for Workforce Development and the New Jersey Department of Labor and Workforce Development, the Department of Education, and the Office of the Secretary of Higher Education
Learning analytics: An opportunity for higher education?Dragan Gasevic
Slides used in my keynote at the Annual Conference of the European Association of Distance Teaching Universities - The open, online, flexible higher education conference - #OOFHEC2015
Open Platforms & Data Smarts: How We Can Do Good BetterKristin Wolff
Panel Presentation to the National Association of Workforce Boards 2016 Annual Forum, Washington, DC. Panelists: Jenna Leventoff (WDQC), Greg Weeks (WA, EDRC), Vinz Koller and Kristin Wolff (SPR).
Ellen Wagner, Executive Director, WCET.
Putting Data to Work
This session explores changing data sensibilities at US post-secondary institutions with particular attention paid to how predictive analytics are changing expectations for institutional accountability and student success. Results from the Predictive Analytics Reporting Framework show that predictive modeling can identify students at risk and that linking behavioral predictions of risk with interventions to mitigate those risks at the point of need is a powerful strategy for increasing rates of student retention, academic progress and completion.
presentation at the 15th annual SLN SOLsummit February 27, 2014
http://slnsolsummit2014.edublogs.org/
Can medical education take advantage of Learning Analytics techniques? How? Where? In this presentation a study is analyzed pinpointing three areas in which Medical Education needs to invest and all three are related to Learning Analytics.
Incorporate Information Literacy into Next Generation Science Standards assignments, lesson plans, and units. Presented at Lakeland Community College on October 1, 2014 by Thomas Hyland and Emily Szymanski
Case Study ARRO Engineering and Environmental Consultantsdbarbush
ARRO needed a new brand and brand identity. The new tagline "Out In Front" summed up what they do and what they do for you. Printed and electronic deliverables are covered in the case study. It was one of our proudest moments as a branding firm. The brand was embraced internally and externally. It really is them.
From theory to practice blending the math classroom and creating a data cultu...DreamBox Learning
Transitioning your school to a fully blended model that leverages data to inform school wide goals, drive classroom instruction, and form small groups takes time and buy-in. Whether you’re in the beginning stages of your blended journey, or are several years into it, it’s important to stay dynamic and reflective to ensure your blended initiative is having a positive impact on student success. Hear how Aldeane Comito Ries Elementary was able to take data beyond the classroom and continue to successfully incorporate it into their school’s infrastructure.
Join the staff at Aldeane Comito Ries Elementary to hear about how they:
• Received buy-in from their staff at all levels
• Specifically use data in their day-to-day
• Continue to transform classroom teaching and learning
Overview of the New Jersey Education to Earnings Data SystemKathy Krepcio
Overview of the New Jersey Education to Earnings Data System, a partnership of the John J. Heldrich Center for Workforce Development and the New Jersey Department of Labor and Workforce Development, the Department of Education, and the Office of the Secretary of Higher Education
Learning analytics: An opportunity for higher education?Dragan Gasevic
Slides used in my keynote at the Annual Conference of the European Association of Distance Teaching Universities - The open, online, flexible higher education conference - #OOFHEC2015
Open Platforms & Data Smarts: How We Can Do Good BetterKristin Wolff
Panel Presentation to the National Association of Workforce Boards 2016 Annual Forum, Washington, DC. Panelists: Jenna Leventoff (WDQC), Greg Weeks (WA, EDRC), Vinz Koller and Kristin Wolff (SPR).
Ellen Wagner, Executive Director, WCET.
Putting Data to Work
This session explores changing data sensibilities at US post-secondary institutions with particular attention paid to how predictive analytics are changing expectations for institutional accountability and student success. Results from the Predictive Analytics Reporting Framework show that predictive modeling can identify students at risk and that linking behavioral predictions of risk with interventions to mitigate those risks at the point of need is a powerful strategy for increasing rates of student retention, academic progress and completion.
presentation at the 15th annual SLN SOLsummit February 27, 2014
http://slnsolsummit2014.edublogs.org/
Can medical education take advantage of Learning Analytics techniques? How? Where? In this presentation a study is analyzed pinpointing three areas in which Medical Education needs to invest and all three are related to Learning Analytics.
Incorporate Information Literacy into Next Generation Science Standards assignments, lesson plans, and units. Presented at Lakeland Community College on October 1, 2014 by Thomas Hyland and Emily Szymanski
Case Study ARRO Engineering and Environmental Consultantsdbarbush
ARRO needed a new brand and brand identity. The new tagline "Out In Front" summed up what they do and what they do for you. Printed and electronic deliverables are covered in the case study. It was one of our proudest moments as a branding firm. The brand was embraced internally and externally. It really is them.
Integrale benadering van 'Branding', met merkdenken richting klanten, eigen organisatie individuele medewerkers en de arbeidsmarkt. De kracht van het combineren van marketing, communicatie en HR-instrumenten.
Breezecab LLC is an advertising company that provides local area transportation and mobile billboard advertising using a low speed bicycle taxicab. Our goal is to use a fleet of these rickshaws to deliver GREEN transportation and advertising
07 18-13 webinar - sharnell jackson - using data to personalize learningDreamBox Learning
Learning and competency data can be useful tools in assessing a student’s individual learning needs. In this month’s Blended Learning webinar, presenters Sharnell Jackson and Tim Hudson shared best practices for organizing and using student data in order to better meet student needs. They also discussed processes for using and analyzing data at the student, classroom, and district levels.
Big Data and Advanced Analytics For Improving Teaching Practices In 2023 | Fu...Future Education Magazine
Here are 7 ways of big data and advanced analytics to improve teaching practices: 1. Data Sources in Education 2. The Role of Big Data in Education 3. Advanced Analytics in Education 4. Assessing Teaching Practices with Data 5. Enhancing Teaching Practices with Data
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.
Slides from Keynote presentation at the University of Southern California's 2015 Teaching with Technology annual conference.
"9:15 am – ANN Auditorium
Key Note: What Do We Mean by Learning Analytics?
Leah Macfadyen, Director for Evaluation and Learning Analytics, University of British Columbia
Executive Board, SoLAR (Society for Learning Analytics Research)
Leah Macfadyen will define and explore the emerging and interdisciplinary field of learning analytics in the context of quantified and personalized learning. Leah will use actual examples and case studies to illustrate the range of stakeholders learning analytics may serve, the diverse array of questions they may be used to address, and the potential impact of learning analytics in higher education."
Leading with Data: How Senior Institution and System Leaders Use Postsecondar...eraser Juan José Calderón
"Leading with Data: How Senior Institution and System Leaders Use Postsecondary Data to Promote Student Success" Informe de IHEP, The Institute for Higher Education Policy
Authors: Jamey Rorison and Mamie Voight
Published: April 2016
Steve Vitto Response to Intvervention (RTI) in School-wide Behavior Support 2009Steve Vitto
This is an overview of the RTI process presented by Steve Vitto in East Grand Rapids in November 2008. Steve can be contacted at svitto@muskegonisd.org
Steve Vitto Response to Intervention (RTI)Steve Vitto
A recent presentation on Response to Intervention and relating the three tier model to evidenced based behavioral supports (i.e., as it applies to classroom management , strategic interventions and interventions for intensive behaviors).
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
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.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
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.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
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
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
1.4 modern child centered education - mahatma gandhi-2.pptx
Week One - Why Data?
1. Putting Your Data to Work for Student Success Week One: Why Does Data Matter? 09.08.10 – 09.14.10
2. Learning Objectives 1) Understand the different types of data points that are used in the education system for measuring student achievement and district performance. 2) Know how to: find, access, present and utilize specific data sources.
3. Why? “Until you have data as a backup, you are just another person with an opinion.” Dr. Perry Gluckman
4. What Has Changed? Standards-based reform and the accountability movement – A Nation at Risk Report No Child Left Behind In education, the stakes have changed and the paradigm has shifted... There is a common agreement with all the stakeholders that all children can learn and must achieve academic success.
5. External and Internal Forces and Conditions Influencing Data-based Decision Making Public demand for evidence-base to demonstrate the effectiveness of student learning and educational programs. Rapid increase in sophisticated technologies for handling information.
6. External and Internal Forces and Conditions Influencing Data-based Decision Making Historically, data has been utilized within the K-12 system to inform decision makers at many different levels. However, districts have frequently used a multitude of data, with very little information on which to base decisions. Most decisions were based on experience, intuition, and political acumen rather than being systematic, complete, and research-based. Data provided by the State Education Agency (SEA) was not: informative for strategic decisions, delivered in a timely manner, or interoperable in the data exchange.
7. External and Internal Forces and Conditions Influencing Data-based Decision Making: Data is neutral. When data is placed into context and analyzed it becomes information. When we act on the information it becomes knowledge. Data alone is/are not evidence of anything, until users of the data bring concepts, criteria, theories of action, and interpretive frames of reference to the task of making sense of the data. Intelligent Data... intelligence: what people do in terms of abstract reasoning and deduction when observing facts or phenomena.
8. Intelligent Data The goal is to use data in thoughtful and strategic ways to inform all decisions at the district level - policy, management and instructional - from the boardroom to the classroom.
9. What is the Effect of Using Intelligent Data? This paradigm shift of using Intelligent Data to inform learning and teaching requires considerations at every level of the entire system. As school board directors and superintendents, you want to ensure the resources are aligned to provide tools that support a culture of inquiry and shift the conversation from a monologue to a dialogue about the role of data in decision making.
10. Ways Leaders Use Data Diagnosing or clarifying instructional or organizational problems. Weighing alternative courses of action. Justifying chosen courses of action. Complying with external requests for information. Informing daily practice. Managing meaning, culture, and motivation.
11. The Four Locations of Data Use State Level - to set policies related to public school system improvement. Local Level - to develop policies, strategies and initiatives focused on school district improvement. Building Level - to create action plans to improve instructional programs. Classroom Level - to improve instructional practice to increase student achievement.
12. Characteristics of Data-Informed Leadership ClarifyingFocus - Vision, Values, Theories of Action Changing the Culture - Cycles of Inquiry Creating Conditions - The Policy Environment
13. Understanding Data and Its Sources Data-Literacy A growing competence with the interpretation of data, and a familiarity with data sources and creativity in assembling relevant data quickly and efficiently.
14. Two Types of Data “In the context of schools, the essence of holistic accountability is that we must consider not only the effect variable—test scores—but also the cause variables—the indicators in teaching, curriculum, parental involvement, leadership decisions, and a host of other factors that influence student achievement.” (D. Reeves, Accountability for Learning, 2004)
15. A Three Tier Framework Accountability Data Professional Data School Narrative Data (Reeves 2005)
16. Data Categories Student Learning Demographic Perceptual School Process Data Teacher Characteristics (Bernhardt 1998, Knapp et. al 2006)
17. Types of Student Data Demographic Data Enrollment Free and Reduced Lunch Ethnicity Gender ELL Special Education Graduation Rates Dropout Rate Attendance
18. Types of Student Data Student Learning Assessments PISA - Program for International Student Assessment TIMSS - Trends in International Mathematics and Science Study NAEP - The National Assessment of Educational Progress SAT/ACT - Scholastic Aptitude Test / American College Testing AP – Advanced Placement ITBS/ITED - Iowa Test of Basic Skills/ Iowa Tests of Education Development HSPE - High School Proficiency Team MSP - Measures of Student Progress
22. Data Sources Data Quality Campaign http://www.dataqualitycampaign.org/ DQC Annual Survey Presentation http://tinyurl.com/dqc-annual-survey IES WA State SLDS Grant http://tinyurl.com/wa-slds
23. OSPI OSPI - Data and Reports http://k12.wa.us/dataadmin/ OSPI - State Report Card http://tinyurl.com/wa-reportcard
24. KidsCount The Casey Foundation provides funding and technical assistance for a nationwide network of KIDS COUNT grantee projects. They collect data about and advocate for the well-being of children at the state and local levels. http://datacenter.kidscount.org/
25. US Department of Education and NSBA Institute of Educational Sciences http://ies.ed.gov/ http://nces.ed.gov/fastfacts/ Center for Public Education http://tinyurl.com/28qkcmc
26.
27. What are some of driving forces to use data more effectively in your district?
28. What is the story behind the numbers? How can we find out?
