Open 2013: Frameworks for Interdisciplinary, Experiential Entrepreneurship Courses
Entrepreneurship and Mentorship in Online Courses
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Transcript of Entrepreneurship and Mentorship in Online Courses
Entrepreneurship Research on NovoEd
Chuck EesleyProfessor, Management Science &
EngineeringStanford University
Why I’m Using NovoEd Data
• Ability to easily run randomized experiments and infer causality in the entrepreneurship process is unprecedented.
• “Real world” students/startups rather than undergrads
• Large N– ~25k students*6 iterations of the class = >150k students – *every interaction on the platform = millions of
datapoints
Current Interest: Mentorship
• Mentorship programs are increasingly on the agenda for policymakers and universities interested in fostering entrepreneurship.
– Few studies examine causal effects of mentorship
– 2 studies, 1 on NovoEd, one with Stanford E145 class
Stanford Study• We investigate the impact of the type of mentorship on the
likelihood that university students will become entrepreneurs.
• We use a longitudinal field experiment with a pre-test/post-test design where students in an entrepreneurship class were randomly assigned to receive mentorship from either entrepreneur or non-entrepreneur mentors.
• To our knowledge, this is the first randomized trial of a mentoring program in entrepreneurship. We find significant positive effects of mentorship, particularly by certain types of mentors.
2 3 4 5 Overall0
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0.6
Without entre-preneur mentorWith en-treperneur men-torBoth groups
Family: 0 Family: 1 Overall0
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Without entrepreneur mentorWith entreperneur mentorBoth groups
0.2
.4.6
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Pr(
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2 3 4 5Willingness to take risk
Ent_mentor=0 Ent_mentor=1
0.1
.2.3
.4.5
.6P
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ost-c
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0 1Family background in entrepreneurship
Ent_mentor=0 Ent_mentor=1
Coming from families with little entrepreneurial experience, teaming students with entrepreneur mentors dramatically increases their likelihood of embracing a startup career (i.e. from around 12% to 22%, or about 45.5% in relative magnitude).
Table 3: Logit Regressions for the Relationship between Entrepreneur Mentor and Students’ Choice of Startup Careers
Results• Results show that entrepreneur mentors have a significant positive
influence on the rate of entrepreneurship, with the greatest influence on students with specific risk orientation and family backgrounds.
• However, this study took 4 years and resulted in a final sample size of only 153. (in contrast NovoEd study has 25k students every 7 week course)
• Eesley, Charles E. and Wang, Yanbo, The Effects of Mentoring in Entrepreneurial Career Choice (January 29, 2014). Available at SSRN: http://ssrn.com/abstract=2387329 or http://dx.doi.org/10.2139/ssrn.2387329
NovoEd study
Using data from >150,000 students
Students were randomized to one of6 different versions of the mentorassignment.
•2 different types of mentors•2 different approaches to workingw/ a mentor most effectively.
Outcomes:•Engagement on the platform•Scores on the assignments•Continuing with the startup after class•Successful fundraising/product•release after class
• Group A (Control Group): Just ask students to find a mentor;
• Group B: Find a diverse connection mentor using predictive logic;
• Group C: Find a similar connection mentor using predictive logic;
• Group D: Find a diverse connection mentor through being flexible and non-predictive logic;
• Group E: Find a similar connection mentor through being flexible and non-predictive logic
• In addition to randomizing on the type of assignments, we could also randomize on the course content for the students.
• In the future, content can vary based on the 5 groups as listed above and we could teach teach each group different strategies to finding a mentor and becoming an entrepreneur.
• A next study under consideration is randomization in team formation.
NovoEd study
NovoEd data
• DVs– Engagement on the platform, forums, etc.– Scores on each assignment, feedback– End of class survey (also after class surveys)
• IVs and control variables– Individual characteristics– Team characteristics– Mentor characteristics– Version of mentorship assignment (randomized)
Descriptive statistics
Goals
• We hope to use the NovoEd platform to develop a methodology where various social sciences theories can be easily implemented and tested.
• The results from this process can be used for academic publication and also in training new entrepreneurship faculty and lecturers to share best practices in a data-driven way.