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Copy of Learning Analytics

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Sofia Levchak

on 27 October 2013

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Transcript of Copy of Learning Analytics

Learning Analytics
Positives and Pitfalls
The Now and The Future
What is Learning Analytics?
Survey Results
The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
Presented by Amy Arsiwala and Sofia Levchak
What were the other definitions?
Educational Data Mining
- Describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings.
Examples of Learning Analytics
Data mining
Big Data
Data driven decision making
The combined use of formative and summative assessment
How about the administration?
Easy interpretation of data through a dashboard service
Ability to gauge overall school performance
How is it helpful for students?
Students are more accountable for their own learning
What about teachers?
Better understanding of student learning
Immediate feedback
Offers specific, real-time relevant information on what the student has learned
Helps set up goals for future learning- "the next step"
Academic Analytics
- The term for business intelligence used in an academic setting.
Teacher Resources
Study island
Khan Academy
Rich, targeted real-time feedback
Encourages reflection on the student's personal performance
Insufficient training on how to analyze data
Lack of teaching materials to create relevant interventions
Anxiety caused by the assessments
Negative results could reduce a student's self-esteem
Congratulations! 73% of the cohort answered correctly. Time to start printing diplomas!
Graphic representation of data
Visual Data Analysis/Infographics
Formative Assessments
Assessments that focus on monitoring student progress and help shape instruction. They give students and teachers immediate feedback.
Summative Assessments
Assessments that focus on what a student has learned over an extended period of time. They are often used to determine if instructional goals have been met.
Unit tests
State standardized tests (e.g. NJASK/PAARC)
Benchmark Tests (e.g. AIMSweb & Edmentum)
Final exams/projects
Student portfolios
Teacher observation
Running records
Clickers (e.g. Poll Anywhere)
Venn Diagrams
Great Ideas for Formative Assessments

Fear of repercussions
Cost factor for applications
Teacher training
Creating SGOs
SGOs create accountability by teachers to ensure they reach their students by tracking student growth over the course of the year.
Data can be used to create benchmarks in order to show growth.
SoLAR's Priorities
Priorities for globally advancing the field of learning analytics:
Highest standards for learning analytics research
Open educational resources in learning analytics
Raise awareness amoungst policy and decision-makers
Create opportunities for stakeholders
Not familiar with clickers? Learn more:

The "reality" of SGOs:
An organization dedicated to ensuring that there is a vision for what analytics might mean for the future of learning.
For more information visit:
Educators have been using data for years
NCLB has caused a push for documenting the data used
Having our students be prepared for the 21st century skills
A Little History Lesson...
Full transcript