OpenStax An Open Education Case Study
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OpenStax An Open Education Case Study
Opportunities Enabled by Digital Texts
• Broaden access through free and open digital textbooks
• Improve learning with integrated technology and cognitive science
BROADEN ACCESS
OpenStax College
3
Context
• $1.2T student debt
• $3.2B in financial aid spent on textbooks annually
• 70% of college students forgo buying texts
• 78% of those students believe they will perform worse in the course
• 24% of students take fewer credit hours due to expense
• 50% of community college students use financial aid
MarkPerry,AmericanEnterpriseIns5tute,July2015
OpenStax College Objectives
• Increase access to high-quality educational experiences
• Provide students financial relief
• Increase academic freedom and flexibility for faculty
• Increase persistence and graduation rates
• Spur innovation
OpenStax College Library
Macro-eco- nomics
Principles ofEco-nomics
Principles ofMicro-eco-nomics
Principles of
Psych-ology
Introductory
Stat-istics
Pre-calc-ulus Hist-
ory
U. S.
Impact Since 2012
• 1.6M students in 4,081 courses have saved $155M • Number of students and savings are doubling every year • Significant positive “Return on Investment” for our foundation partners
• 27% of all US degree-granting institutions use
at least one OpenStax text • Sustainable business model (40+ ecosystem partners)
IMPROVE LEARNING
OpenStax Tutor
OpenStax Tutor
• Objective: Improve not only access but also learning outcomes
• OpenStax Tutor embeds homework, review questions, and analytics directly into a digital textbook
• Real-time feedback to students and teachers improves and personalizes learning
• Pilots: 400 Houston-area high school students, 12,000 college students
• Generous support from the Gates Foundation, Arnold Foundation, John and Ann Doerr, NSF, DOD, and others
data
feedback
2.3 million questions solved since January 2016
Machine Learning
Cognitive Science
87
55
23
93
62
student knowledge
profile
Susan
B
Machine Learning
Learning Principles from Cognitive Science
Retrieval practice retrieving information from memory is not a neutral event; rather it changes memory
Spacing distributing practice over time produces better long-term retention than massing practice
Feedback closes the learning feedback loop must be timely
TOUR
OpenStax Tutor
Tour of OpenStax Tutor
• Personalized learning tool designed in conjunction with a “Learning Advisory Team” of high school teachers and college instructors in Spring/Summer 2015
• 25 person years of effort on design and coding
integrated reading, practice, homework
interactive reading
2-step response format with free-form text box
timely feedback
personalized questions (via machine learning)
learning analytics to student and instructor
THE ROAD AHEAD
OpenStax Vision
Revolutionize education at all levels: transform the student path to and through college and improve learning and graduation rates
• Access Radically increase the number of students who complete college
• Insight Provide students, teachers, and administrators with “power tools” to enrich and intervene
• Empower teachers and students to take control of their teaching and learning
openstax.org
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