Presented at the First Workshop on Intelligent Textbooks (Chicago, IL, US; June 25, 2019)

1. What’s a Textbook?
Envisioning the 21st Century K-12 Text

2. Carnegie Learning Team
Dr. Steve Ritter
Founder & Chief Scientist
sritter@carnegielearning.com
Amy Jones Lewis
Sr. Director of Content Design
alewis@carnegielearning.com
Dr. Bob Hausmann
Cognitive Scientist
bhausmann@carnegielearning.com
Josh Fisher
Instructional Designer
jfisher@carnegielearning.com

3. Carnegie Learning Delivers Products and Services
Designed to Transform Math Learning
MATHia® Software
(Grades 6–12)
A smarter math learning
engine that mirrors the
power of a 1-on-1 coach
better than any other
software platform. MATHia
tells students why they
got an answer wrong, not
just what they got wrong –
and tracks their progress,
skill by skill, on the road
to mastery.
Middle School and
High School Math
Solutions
A top-rated blend of
MATHia, our adaptive
software platform, and our
consumable, write-in
textbooks (and interactive
eBooks) makes Carnegie
Learning the right choice
for better math learning.
Professional
Learning (K–12)
Our Professional Learning
Master Math Practitioners
deliver strategies,
first-hand insights, and
training that help teachers
to cultivate their mindset,
deepen content
knowledge, and create
student-centered learning
environments where
everyone thrives.
Data Analysis
(K–12)
Our Data Analysts help
educators translate raw
data into something much
more valuable — an action
plan. They don’t just
crunch numbers — they
listen, make connections,
and work alongside
educators to drive real
change.

4. Intentional Blend
Carnegie Learning’s blended
learning delivers individual
learning and group learning.
Both pieces are interconnected
and forge a math learning
partnership.

5. Intentional Blend of Text and Software

6. digitalACE: Adaptive Classroom Environment
A blend of the flexibility of textbook activities
with the data-collection abilities of an intelligent
tutoring system.
Student can enter answers in multiple ways:
• Short answer
• Freehand drawing
• Draw on an image
• Take a picture

7. Let’s consider
textbooks in the K12
space.

8. Learning Together
vs.
Learning Individually
If we want classrooms to shift from
teacher-centered environments
(I-R-F) to student-centered
environments (collaborative,
discursive, learner-led), then we
need the textbooks to change to
support that shift.

9. How do we lower the barriers for teachers as they
implement student-centered practices in real
classrooms?

10. digitalACE: Facilitate Mathematical Discussions
The teacher can:
• View student work
• Select student work
• Organize student work
• Display student work
• Annotate student work

11. digitalACE: Facilitate Mathematical Discussions
The teacher can:
• View student work
• Select student work
• Organize student work
• Display student work
• Annotate student work

12. digitalACE: Facilitate Mathematical Discussions
The teacher can:
• View student work
• Select student work
• Organize student work
• Display student work
• Annotate student work

13. digitalACE: Facilitate Mathematical Discussions
The teacher can:
• View student work
• Select student work
• Organize student work
• Display student work
• Annotate student work

14. digitalACE: Facilitate Mathematical Discussions
The teacher can:
• View student work
• Select student work
• Organize student work
• Display student work
• Annotate student work

15. Our Expertise?
Supporting implementations in
real classroom.

16. Data-Driven Instruction
When using MATHia, we provide support for
teachers using the data we collect.
● Progress bar
● LiveLab
● Reports
● Professional Development
Now consider when teachers are using
the textbook. How do we support
teachers during that phase of instruction?

18. Adaptive Learning Recommendation System (ALRS)
Each Lesson is tagged according to 3 dimensions:
Competency: On average, does the class have
high prior knowledge, average, or low prior
knowledge with respect to this Lesson?
Importance: How important is this Lesson to the
CCSS?
Time: Is this the abbreviated, average, or full
version of the Lesson?
Each dimension will feed into ALRS as input. The
output of the AI engine is depicted on the next slide.

19. Adaptive Learning Recommendation System (ALRS)

20. Outstanding Questions
• How can we make the connection between
Learning Together and Learning
Individually seamless?
• How do we use classroom data to inform
MATHia and MATHia data to inform the
classroom teacher?
• How do we use a new learning platform to
deliver content in ways that are efficient
and effective in real classrooms?