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

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

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

  1. 1. What’s a Textbook? Envisioning the 21st Century K-12 Text
  2. 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. 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. 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. 5. Intentional Blend of Text and Software
  6. 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. 7. Let’s consider textbooks in the K12 space.
  8. 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. 9. How do we lower the barriers for teachers as they implement student-centered practices in real classrooms?
  10. 10. digitalACE: Facilitate Mathematical Discussions The teacher can: • View student work • Select student work • Organize student work • Display student work • Annotate student work
  11. 11. digitalACE: Facilitate Mathematical Discussions The teacher can: • View student work • Select student work • Organize student work • Display student work • Annotate student work
  12. 12. digitalACE: Facilitate Mathematical Discussions The teacher can: • View student work • Select student work • Organize student work • Display student work • Annotate student work
  13. 13. digitalACE: Facilitate Mathematical Discussions The teacher can: • View student work • Select student work • Organize student work • Display student work • Annotate student work
  14. 14. digitalACE: Facilitate Mathematical Discussions The teacher can: • View student work • Select student work • Organize student work • Display student work • Annotate student work
  15. 15. Our Expertise? Supporting implementations in real classroom.
  16. 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?
  17. 17. 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.
  18. 18. Adaptive Learning Recommendation System (ALRS)
  19. 19. 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?

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