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Big Data! How is BIG DATA 
impacting the instructional 
process in your school/district? 
Sandra Paul 
Chief Technology Officer 
Sayreville Public Schools
Agenda 
● Big Data 
● Big Data in Industry 
● The Good 
● Data in education and the classroom 
● Change in instructional process 
● Security of Data 
● The Bad
What is Big Data?
Big Data in Industry 
“Big data” is the fine-grained information about customer 
experiences, organizational processes, and emergent 
trends generated as customers conduct normal business. 
The organization of this data serves as a rich source of 
business analysis to improve performance and even point 
to new opportunities - 
- EDUCAUSE LIVE! - THE RISE OF BIG DATA IN HIGHER 
EDUCATION* - Presenter Louis Soares
THE GOOD
Higher Education 
● Course enrollment 
● Classroom Instruction 
● Student services 
● Retention of students
Arizona State University Data 
Degree monitoring system that keeps tabs 
on how students are doing in their majors. 
Suggestion of friends 
Prevention of student drop-out 
Course selection 
Prediction of success 
Individualized lessons
What data are you looking for to 
provide evidence of your students’ 
growth?
How Big Data 
can be used in 
K-12?
NMC-Horizon Report 2014
Reasons for Big Data 
● Targeted instructions 
● Prevention of drop-outs 
● Individualized student 
services 
● Student feedback 
● Real-time evaluation
Types of Data in the classroom 
In-class: tests, quizzes, exams 
Immediate: - Kahoot, Geddit, ExitTicket, 
Clickers, Polleverywhere, PearDeck, etc. 
State: - PARCC, SAT, ACT 
Other: Assistive Tech, RtI, WriteToLearn,
Type of Assessments
Learning Analytics - Horizon 
Report 2014
Learning Process 
Bloom’s Taxonomy 
IEPs - Individualized Education Plans 
Strengths/Weakness
Talking to the Kids 
● Conversation with students 
● Personal best of the students 
● Competing with themselves 
● Customize learning to each student 
● Each student looking at their own 
data
THE BAD
Student Privacy 
FERPA 
Family Educational Rights and Privacy Act 
(20 U.S.C. § 1232g; 34 CFR Part 99)
Data Mining Students Data 
Scanning of student data for trends: 
● shopping 
● searching 
● demographics 
● likes/dislikes 
● advertising
Federal Guidelines 
Private Company 
versus 
Private Student 
Information
Why do we need data? 
To Do the 
Right Thing 
for 
Students
Thank you 
Contact information: 
Twitter: @spaul6414 
LinkedIn: Sandra Paul 
Goggle+: spaul6414 
Email: spaul6414@gmail.com

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Big Data! How is BIG DATA impacting the instructional process in your school/district?

  • 1. Big Data! How is BIG DATA impacting the instructional process in your school/district? Sandra Paul Chief Technology Officer Sayreville Public Schools
  • 2. Agenda ● Big Data ● Big Data in Industry ● The Good ● Data in education and the classroom ● Change in instructional process ● Security of Data ● The Bad
  • 3. What is Big Data?
  • 4. Big Data in Industry “Big data” is the fine-grained information about customer experiences, organizational processes, and emergent trends generated as customers conduct normal business. The organization of this data serves as a rich source of business analysis to improve performance and even point to new opportunities - - EDUCAUSE LIVE! - THE RISE OF BIG DATA IN HIGHER EDUCATION* - Presenter Louis Soares
  • 6. Higher Education ● Course enrollment ● Classroom Instruction ● Student services ● Retention of students
  • 7. Arizona State University Data Degree monitoring system that keeps tabs on how students are doing in their majors. Suggestion of friends Prevention of student drop-out Course selection Prediction of success Individualized lessons
  • 8. What data are you looking for to provide evidence of your students’ growth?
  • 9. How Big Data can be used in K-12?
  • 11. Reasons for Big Data ● Targeted instructions ● Prevention of drop-outs ● Individualized student services ● Student feedback ● Real-time evaluation
  • 12. Types of Data in the classroom In-class: tests, quizzes, exams Immediate: - Kahoot, Geddit, ExitTicket, Clickers, Polleverywhere, PearDeck, etc. State: - PARCC, SAT, ACT Other: Assistive Tech, RtI, WriteToLearn,
  • 14. Learning Analytics - Horizon Report 2014
  • 15. Learning Process Bloom’s Taxonomy IEPs - Individualized Education Plans Strengths/Weakness
  • 16. Talking to the Kids ● Conversation with students ● Personal best of the students ● Competing with themselves ● Customize learning to each student ● Each student looking at their own data
  • 18. Student Privacy FERPA Family Educational Rights and Privacy Act (20 U.S.C. § 1232g; 34 CFR Part 99)
  • 19. Data Mining Students Data Scanning of student data for trends: ● shopping ● searching ● demographics ● likes/dislikes ● advertising
  • 20. Federal Guidelines Private Company versus Private Student Information
  • 21.
  • 22. Why do we need data? To Do the Right Thing for Students
  • 23. Thank you Contact information: Twitter: @spaul6414 LinkedIn: Sandra Paul Goggle+: spaul6414 Email: spaul6414@gmail.com