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Reading Mirror: Social Navigation and
Social Comparison for Electronic
Textbooks
Jordan Barria-Pineda, Peter Brusilovsky, ...
Background
Attempts on modernizing digital textbooks:
● Recommendation of relevant external content
● Concept-mapping acti...
Proposed Approach
Extend electronic textbooks with progress
tracking/social visualization
Mirrored icicle plot
(- Easy-to-...
Visual encoding
Demo
Classroom studies
Information Retrieval class at Univ. of Pittsburgh (graduate level)
2 classrooms:
● Spring 2018 (39 stud...
Preliminary results (1)
Sustained
difference
between two
classroom
studies
Hypothesis:
Social
Comparison (SC)
takes a
sign...
Preliminary results (2)
(*) Only asked in
Spring 2018
Open questions
● Which social performance/behavioral information
should be open to the students?
● In which way should thi...
What’s next?
Student modeling from reading
behavior
Embed personalized learning content
recommendations (e.g. videos,
inte...
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Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 1 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 2 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 3 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 4 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 5 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 6 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 7 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 8 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 9 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Slide 10
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Presented at the First Workshop on Intelligent Textbooks (Chicago, IL, US; June 25, 2019)

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Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks

  1. 1. Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks Jordan Barria-Pineda, Peter Brusilovsky, Daqing He University of Pittsburgh, USA Workshop on Intelligent Textbooks @ AIED’19
  2. 2. Background Attempts on modernizing digital textbooks: ● Recommendation of relevant external content ● Concept-mapping activities ● Social annotations ● Embedded interactive learning activities
  3. 3. Proposed Approach Extend electronic textbooks with progress tracking/social visualization Mirrored icicle plot (- Easy-to-compare - Space efficient)
  4. 4. Visual encoding
  5. 5. Demo
  6. 6. Classroom studies Information Retrieval class at Univ. of Pittsburgh (graduate level) 2 classrooms: ● Spring 2018 (39 students) ● Fall 2018 (41 students) Social Comparison (SC) enabled
  7. 7. Preliminary results (1) Sustained difference between two classroom studies Hypothesis: Social Comparison (SC) takes a significant amount of time to have an effect on students
  8. 8. Preliminary results (2) (*) Only asked in Spring 2018
  9. 9. Open questions ● Which social performance/behavioral information should be open to the students? ● In which way should this social information be open? In which level of granularity? ● In which context should we open this? Always or in specific periods of time? Whole class’ information or only a specific subgroup’s information? ?
  10. 10. What’s next? Student modeling from reading behavior Embed personalized learning content recommendations (e.g. videos, interactive activities) + Visual explanation of recommendations based on the Deeper students’ behavior analysis Better understanding of visualization effect

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

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