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Mr. Ernest Lyubchik
ernest@selflab.com

Dr. Sara Hershkovitz
sarah@cet.ac.il

Data driven blended learning
Going from a heterogeneous
classroom to personalised learning
Agenda
• Selflab & CET are conducting an adaptive
learning experiment.
• Goal: validate Selflab’s adaptive technology.
• First stage introduced Selflab’s analytics.
• Presenting new instruction methods that
became possible using the analytics.
• First stage results.
• Future research.
Selflab
A paradigm shift in adaptive learning.
• Selflab's software-as-a-service platform
automatically serves any educational content
based on individual users' unique learning
needs.
• Selflab’s easy integration gives publishers
extensive data and analytics about their
content and their students.
Selflab
The Center for Educational Technology (CET)
Goals

Promote

achievement and
academic excellence
in the 21st century

Create
equal opportunities
to all children

Activities

In its 42 years of activity, CET, the
leading educational NGO in
Israel, has established its expertise
and reputation by:
• Developing state-of-the-art printed and
digital content
• Developing interactive learning
objects, virtual labs and simulations in all
subjects
• Paving new ways in online and blended
learning programs for students and
teachers (PD)
• Creating online systems and tools for
assessment and evaluation
CET’s Core Competencies
Mathematical Proficiency

Kilpatrick J., Swafford J. & Findell B. (2001): Adding It Up: Helping children learn mathematics.
Washington, DC: National Academy Press.
Common core state standards for mathematics, 2012
Fractions in the

th
4

grade
Computerised tools
Computerised instruction works!
The aim is:
To focus on students’ readiness to learn, scaffolding
and building on his current knowledge and move
the student along an efficient trajectory according
to their own skills abilities and knowledge to the
next stage.
Pierce R., Stacey K. (2010): “Mapping Pedagogical Opportunities Provided by Mathematics analysis
Software” International journal of computers for Mathematical Learning, 15(1), pp. 1-20
Analytics – the first step for adaptive
• Current classroom instruction is limited by the
teachers knowledge of the students’ abilities.
• To fit the needs of the student, first we must
know what the student needs.
• A student making a multiplication mistake in
an Algebra question, needs help with
multiplication, not Algebra!
What are the students solving?
Hello Ernest [exit]

Difficulty scale

Laboratory
Write < or > or =

Check my answer

Back
The shape is a single unit.
Write a fraction and a mixed number that match the illustration

Fraction
Check my answer

Mixed number
Pizzas at the pizza stand are divided to 3 equal slices. Make an order for 6 slices of pizza

Check my answer
Difficulty scale
This is 2/3 of a
shape:

Draw a complete shape
Experiment
• 6 classes of 4th grade, from 2 different
schools, were selected for the first phase.
• The students began learning fractions without
prior instruction, receiving computerised
instruction and exercises.
• All data was monitored,
and the teachers received
reports, while the system
itself did not activate
adaptive personalisation.
Reporting and Analytics
• CET was provided with content reports, and
the content on the platform was supervised.
• The teachers received both custom requested
reports of the student’s performance, and a
real time tracking system to oversee the
progress of the students.
Students analytics
Real time data
New Instructional Methods
• Students receive instruction from the
program. However, some students still require
instruction from the teacher.
• Instead of presenting the class with frontal
instruction, the teacher can work directly with
those who require assistance, helping them
with targeted sessions.
Feedback
• Students’ feedback:
“This is right where I am now, how did you
know I had a problem with that?”
• Teachers’ feedback:
“The class is more organized”
“I know what they really understood”
“The students love the program”
“Can we allow sixth graders to use it?”
Big impact for low achievers
• The teachers pushed for adding sixth graders who
had problems with the material to the
experiment.
• The sixth graders who joined were low
achievers, and unmotivated students. In just a
few lessons, the students reported increased
motivation, confidence and interest.
• The previously low achievers improved their
performance, they achieved similar ability grades
as the rest.
Results – correct answers
Means:
Std:

Frontal
75%
11%

Focus
86%
6%
Results
• Personalised learning students made on average
%14 mistakes compared to 25% of frontal
instruction groups. 44% less mistakes.
• The measured performance gain of the
personalised learning students was found
significant by T-Test, ALPHA=0.01.
• Personalised learning led to higher levels of
motivation and lower levels of class disruptions
and stress. (precise data still being gathered).
Future plans
• Going adaptive – individual learning pathways.
• Understanding student’s abilities rather than
student’s score.
• Data driven analysis of content.

But what is the difference
between success rate and ability?
Some questions are
hard to guess but easy to solve if you
know the material
While other questions might be easy
to guess but difficult to solve
Success rate is not identical to
difficulty!
350%

300%

250%

200%
Question 1
Question 2

150%

Question 3

100%

50%

0%
Success rate

Difficulty
Fully adaptive – it’s about to begin

Educate the student according to his way (Book
of Proverbs)
Lead the man on the way he walks (Talmud)
THANK YOU

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In Focus presentation: Data driven blended learning: going from a heterogeneous classroom to personalized learning

  • 1. Mr. Ernest Lyubchik ernest@selflab.com Dr. Sara Hershkovitz sarah@cet.ac.il Data driven blended learning Going from a heterogeneous classroom to personalised learning
  • 2. Agenda • Selflab & CET are conducting an adaptive learning experiment. • Goal: validate Selflab’s adaptive technology. • First stage introduced Selflab’s analytics. • Presenting new instruction methods that became possible using the analytics. • First stage results. • Future research.
  • 3. Selflab A paradigm shift in adaptive learning. • Selflab's software-as-a-service platform automatically serves any educational content based on individual users' unique learning needs. • Selflab’s easy integration gives publishers extensive data and analytics about their content and their students.
  • 5. The Center for Educational Technology (CET) Goals Promote achievement and academic excellence in the 21st century Create equal opportunities to all children Activities In its 42 years of activity, CET, the leading educational NGO in Israel, has established its expertise and reputation by: • Developing state-of-the-art printed and digital content • Developing interactive learning objects, virtual labs and simulations in all subjects • Paving new ways in online and blended learning programs for students and teachers (PD) • Creating online systems and tools for assessment and evaluation
  • 7. Mathematical Proficiency Kilpatrick J., Swafford J. & Findell B. (2001): Adding It Up: Helping children learn mathematics. Washington, DC: National Academy Press. Common core state standards for mathematics, 2012
  • 11. The aim is: To focus on students’ readiness to learn, scaffolding and building on his current knowledge and move the student along an efficient trajectory according to their own skills abilities and knowledge to the next stage.
  • 12. Pierce R., Stacey K. (2010): “Mapping Pedagogical Opportunities Provided by Mathematics analysis Software” International journal of computers for Mathematical Learning, 15(1), pp. 1-20
  • 13. Analytics – the first step for adaptive • Current classroom instruction is limited by the teachers knowledge of the students’ abilities. • To fit the needs of the student, first we must know what the student needs. • A student making a multiplication mistake in an Algebra question, needs help with multiplication, not Algebra!
  • 14. What are the students solving? Hello Ernest [exit] Difficulty scale Laboratory Write < or > or = Check my answer Back
  • 15. The shape is a single unit. Write a fraction and a mixed number that match the illustration Fraction Check my answer Mixed number
  • 16. Pizzas at the pizza stand are divided to 3 equal slices. Make an order for 6 slices of pizza Check my answer
  • 17. Difficulty scale This is 2/3 of a shape: Draw a complete shape
  • 18. Experiment • 6 classes of 4th grade, from 2 different schools, were selected for the first phase. • The students began learning fractions without prior instruction, receiving computerised instruction and exercises. • All data was monitored, and the teachers received reports, while the system itself did not activate adaptive personalisation.
  • 19. Reporting and Analytics • CET was provided with content reports, and the content on the platform was supervised. • The teachers received both custom requested reports of the student’s performance, and a real time tracking system to oversee the progress of the students.
  • 22. New Instructional Methods • Students receive instruction from the program. However, some students still require instruction from the teacher. • Instead of presenting the class with frontal instruction, the teacher can work directly with those who require assistance, helping them with targeted sessions.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. Feedback • Students’ feedback: “This is right where I am now, how did you know I had a problem with that?” • Teachers’ feedback: “The class is more organized” “I know what they really understood” “The students love the program” “Can we allow sixth graders to use it?”
  • 28. Big impact for low achievers • The teachers pushed for adding sixth graders who had problems with the material to the experiment. • The sixth graders who joined were low achievers, and unmotivated students. In just a few lessons, the students reported increased motivation, confidence and interest. • The previously low achievers improved their performance, they achieved similar ability grades as the rest.
  • 29. Results – correct answers Means: Std: Frontal 75% 11% Focus 86% 6%
  • 30. Results • Personalised learning students made on average %14 mistakes compared to 25% of frontal instruction groups. 44% less mistakes. • The measured performance gain of the personalised learning students was found significant by T-Test, ALPHA=0.01. • Personalised learning led to higher levels of motivation and lower levels of class disruptions and stress. (precise data still being gathered).
  • 31. Future plans • Going adaptive – individual learning pathways. • Understanding student’s abilities rather than student’s score. • Data driven analysis of content. But what is the difference between success rate and ability?
  • 32. Some questions are hard to guess but easy to solve if you know the material
  • 33. While other questions might be easy to guess but difficult to solve
  • 34. Success rate is not identical to difficulty! 350% 300% 250% 200% Question 1 Question 2 150% Question 3 100% 50% 0% Success rate Difficulty
  • 35. Fully adaptive – it’s about to begin Educate the student according to his way (Book of Proverbs) Lead the man on the way he walks (Talmud)

Editor's Notes

  1. Ernest speaking.0.5 minute.0.5 total.
  2. Ernest speaking.1 minute.1.5 total.
  3. Sara speaking.1 minutes.2.5 total.
  4. Sara speaking.1 minutes.3.5 total.
  5. Sara speaking.1 minute.5.5 total.
  6. Sara speaking.1 minute.6.5 total.
  7. Ernest speaking.0.5 minute.7 total.
  8. Sara speaking.1 minute for all content examples.8 total.
  9. Sara speaking.2 minutes.10 total.
  10. Ernest speaking.1 minute.11 total.
  11. Ernest speaking.1 minute.12 total.
  12. Sara and Ernest speaking.3 minutes.15 minutes total.
  13. Sara and Ernest speaking.Here we quote feedbacks.1 minute.16 minutes total.
  14. Ernest speaking.2 minutes.18 minutes total.
  15. Sara and Ernest speaking.2 minutes.20 minutes total.