36 Higher Ed Thoughts from Mary Meeker’s Internet Trends Report
Each summer Mary Meeker releases her Internet Trends presentation.
At the release of each report, I wonder if postsecondary education will be featured in the deck. And each summer I am sad that it is not.
The fact that Mary Meeker is not putting higher education in her Internet Trends deck should not stop us from trying.
(Also check out Bryan Alexander’s take on the Meeker’s “giant slide trove“).
Here are 36 ways that we can relate her thinking on Internet Trends to our world of higher ed:
1. 3 billion global Internet users (42% of the population) translates into 3 billion possible postsecondary students. (Slide 5)
2. India, with 277 million Internet users (surpassing the US, and behind China) is the future of online and technology enabled postsecondary education. (Slide 7)
3. Android dominates the global smartphone business – an opportunity for Google to lead the move to mobile learning for tomorrow’s postecondary students. (Slide 11)
4. Global economic slowdown (especially in China) and flat income growth will put increasing cost and revenue pressures on postsecondary institutions. (Slide 18)
5. Lower global fertility will mean more resources to invest in postsecondary education for smaller families. (Slide 35)
6. As more of the $60 billion digital advertising budget moves to mobile, so will more of the digital learning marketplace. (Slide 43).
7. Both advertisers and incumbent edtech companies are “over-indexed to legacy media” platforms. (Slide 45).
8. Online education can learn from online advertising, as digital learning is more effective if it is authentic, provokes emotion, is personable / relatable, useful, and can be controlled by the learner. (Slide 46)
9. Can Meeker’s “Retail” equation be applied to education? Retail = Technology + Media + Distribution (Slide 61)
10. Physical retailers are becoming digital retailers, and digital retailers are becoming data-optimized physical retailers – will the same thing happen to residential colleges and primarily online postsecondary programs? (Slide 64)
11. Will the connected consumers also become connected students? (Slide 65)
12. Can we edit Meeker’s retailers / products / brands formula to instead read: Colleges / Degrees / Brands = bolstered by Always-On Connectivity + Hyper-Targeted Marketing + Personalization? (Slide 66)
13. Generation Z (born 1995 to 2015) will approach education from a perspective of being: tech innate (5 screens at once), comfortable communicating with images (rather than text), creators and collaborators, future-focused, realists, and wanting to work for success. (Slide 74)
14. Tomorrow’s students will want to use their phones to create (video-centric) educational assignments in the same way that they use their phones to create video-centric social media communications. (Slide 79)
15. Traditional digital education will increasingly be combined with social media interaction, just as the process of consuming sports on entertainment is changing. (Slide 88)
16. The growth of messaging platforms and uses will challenge traditional asynchronous online / mobile education platforms. (Slide 100)
17. Messaging is moving from social to business conversations, and will also move from social to educational (learning) conversations. (Slide 102)
18. Messagings secret sauce – the power of the thread – also applies to learning: conversational / remembers identity / time / specifics / preferences / context. (Slide 104)
19. Best way to contact Millennials – social media + chat – may be the best way to teach Millennials. (Slide 107)
20. As the messaging app becomes the “second home screen” – could the education app become the third? (Slide 110)
21. Voice interfaces are changing computer / people interactions – as voice interactions are fast, easy, and personalized. Will voice interfaces change how learning can occur on mobile devices? (Slide 116)
22. The improvement of speech recognition from 95% to 99% percent is a game changer for mobile – will it be a game changer for mobile learning? (Slide 117)
23. Can this formula be applied to higher ed: Car Industry Evolution = Computerization Acceleration? Why and why not? (Slide 137)
24. How are adaptive / personalized / scaled learning platforms different from driverless cars? (Teacherless courses?) (Slide 141)
25. Can we replace “Car” with “Higher Ed” in the following formula?: Car Industry Evolution = Driven By Innovation. (Slide 142)
26. Is higher ed like the car industry, driven by innovation + globalization? (Slide 143)
27. Transportation regulators are typically slow to adopt new technologies – is this also true of higher ed regulators? (Slide 149)
28. As transportation and mobility are being reimagined – will we also reimagine learning and credentialing? (Slide 151)
29. Will the shift from “cars produced” to “miles driven” be accompanied by a shift from “hours in school” to “demonstrated skills and competencies”? (Slide 152)
30. Just as Millennials and Generation Y look to give up car ownership for transportation as a service, will they give up “owning” diplomas to wanting to demonstrate specific skills and competencies? (Slide 153)
31. Are cars and physical classrooms both “underutilized resources”? (Slide 154)
32. China has 668 million Internet users – leading us to expect that tomorrow’s big edtech players will originate from China. (Slide 166)
33. If Alibaba is China’s top retailer (Wal-Mart is in the US), why can’t an online university be China’s top education provider? (Slide 170)
34. China is the world’s largest outbound tourist spender ($165 billion) – so where does China rank as the world’s biggest exporter of postsecondary students? (Slide 174)
35. How this statement apply to higher ed?: Impact of Internet = Extraordinary & Broad, But, In Many Ways… It Is Just Beginning. (Slide 183)
36. What does “data as a platform” mean to higher ed – and how will incumbent institutions use data analytics to improve efficiency without sacrificing core values? (Slide 200)
What data points should have Mary Meeker included about digital learning?