Woensdag 12 november Sessieronde 1 Titel: Experiences from personalised learning (ENG) Sprekers: Brad McIlquham (Knewton) Zaal: Goudriaan I

1. Personalization
with Knewton
Director, Academic Platform Programs
November 2014
D. Bradley McIlquham

2. The internet does two things:
2. Data mining1. Distribution

3. PROPRIETARY & CONFIDENTIAL - NOT FOR REDISTRIBUTION © 2014 KNEWTON, INC.
Knewton’s mission is
to bring personalized
learning to the world.
Our engine analyzes student activity to recommend the best
content and evaluate progress & engagement by:
● modeling and analyzing how different students learn
● figuring out which materials and lessons are most effective
● empowering teachers with data about student progress

4. Across disciplines and grade levels

8. Personalization, behind the scenes

9. What the Knewton API provides
Recommendations
provide underlying insights
on proficiency,
engagement, and more to
teachers, parents, and
students.
Analytics Learning histories
allow students to start warm in
new courses, drawing on
previously demonstrated
learning preferences and gaps.
guide each student to the
right content to tackle
next within the partner’s
pool of recommendable
content.

10. Experience
Adaptive Learning

17. PROPRIETARY & CONFIDENTIAL - NOT FOR REDISTRIBUTION © 2014 KNEWTON, INC.
WATCH NOW

18. Blended learning toolkit

19. Student profile dashboard

21. Partner Products

22. Partner Products

23. 18% 78% 47% $12M+
in annual
recovered
tuition from
retained
students
increase in
pass rate for
development
al math
reduction in
withdrawal
rate from
development
al math
Extensive, multi-year implementation
across all first year math courses
overall
pass rate
for
developme
ntal math
Adaptivity improving student
outcomes
PROPRIETARY & CONFIDENTIAL - NOT FOR REDISTRIBUTION © 2014 KNEWTON, INC.

24. 85%
pass rate;
taking Knewton
increase a
student’s
chance of
placing into first
year math by
25%.
87%
pass rate for the
lowest-level
developmental
math course, an
increase of
20 - 25% over
previous years.
10%
improvement in
pre-versus post-
test scores for
students using
Knewton versus
other
developmental
math software.
Improving student outcomes
PROPRIETARY & CONFIDENTIAL - NOT FOR REDISTRIBUTION © 2014 KNEWTON, INC.
Top 5 For-Profit
University

25. Data Driven
Adaptive Learning

26. Open platform for education
Our API partnerships vary by subject, grade level, centrality of adaptivity, and more. Knewton is flexible.

27. PROPRIETARY & CONFIDENTIAL - NOT FOR REDISTRIBUTION © 2014 KNEWTON, INC.
Analytics for the publisher
Exhaustion
How much content are
students utilizing, mapped
to proficiency achieved
Assessment Quality
How well individual questions
assess underlying topics
Instructional Impact
How pieces of content
contribute to learning

28. Restructuring class time:
Lab time & space
Tutoring resources
Student grouping (proficiency,
engagement, heterogeneous groups)
Creative projects
Inspiring discussion and mini lectures
informed by analytics
Data-driven decisions

29. Data-driven decisions
Evaluating and creating new curriculae

30. Students completing course
Data-driven decisions
Planning lab space based on pacing for exams
Rethinking completion policies and linear milestones

31. Thank you
brad@knewton.com
@bmcilquham