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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?