(Looking Back and Looking Forward takes a look at the articles and posts I found interesting from the previous week, along with reflections about how the trends they point to might shape my thinking about education, technology, and culture.)
In a post-ASU+GSV post, Michael Feldstein shared his reflection on the impact generative AI will have on education. This is a definitely-worth-reading item with some keen insights into how educators can will use tools like ChatGPT. On a similar note, Bryan Alexander provides this take on how the notion of instruction with change with the advent of AI tools.
Those of you who really are playing along at home (as in experimenting with ChatGPT), have likely already discovered that a big key to using these tools is the ability to write good prompts. If you’re still struggling to get the results you need, take a look at this prompt recipe (not a prompt doesn’t necessarily need to have all these ingredients).
- Instruction: A specific task to be performed by the model.
- Context: Additional information so that the model can respond better.
- Input: A question that we ask the model.
- Output Indicator: Specifies the type of output.
In a weird way, we may be going back to teaching students how to write the equivalent of good thesis sentences. You remember those, right? The main point of your composition? A sentence that should express both the “what” and the “why” of your paper? Prompts are much the same. You’ll find that the more context you provide the better the results you’ll receive.
Interestingly, “12%” appeared in a number of items over the past week, although I doubt these are related. Higher Education enrollments in the U.S. have dropped 12% over the last decade. Analysts are also predicting a 12% decline in smartphone shipments this year. Sticking with percentage statistics, Phil Hill reviewed the comments on the Department of Education’s expanded guidance for Third Party Servicers and found less than 1% of the commenters supported the guidance (out of 1,100 public comments).
Looking through a lengthy set of bookmarked articles this week, I also noticed these continuing trends (feel free to glance through the Further Reading section to discover your own emerging patterns).
- A combination of trends/events continues to reshape workforce demand
- The shift in labor trends continues to have a variety of impacts on higher education
- The notion of “meaningful credentials” continues to evolve and alternative credentials are continuing to gain traction
- We’re all scrambling to understand how new AI technologies are going to change the landscape
Have a great week, everybody!
The Future of Higher Ed: A Community College Perspective
TICAS report shows path to debt-free college
Another state is going after tenure — this time, it’s North Carolina
The Cost of College Room and Board Is Rising Faster Than Tuition
Ohio Higher Education Enrollment Drops 12% Over Decade
Never Ending Higher Ed Enrollment Decline
Fewer Than 1% of Comments Support TPS Expansion Guidance
In Japan, plummeting university enrollment forecasts what’s ahead for the U.S.
2U CEO on revenue share Department of Education rules
Free Technology for Teachers: MLA and APA Provide Guidance for Citing Content Created by AI
Oklahoma still considering religious charter school despite blocking latest application
AI in Hiring and Evaluating Workers: What Americans Think
Jobs, Pay for College-Educated Workers Will Be Changed Most by AI Like ChatGPT
3 ways to build adaptive global workforce skills
Strategically Developing Microcredentials for the Future of Work
Essential Soft Skills For a Successful Career in Tech
Online Learning, Learning Design, and Education Technology
ChatGPT: Post-ASU+GSV Reflections on Generative AI
Now that ChatGPT has Gone Viral on TikTok
Learn How to Write efficient Prompts for LLMs
What is a predictive metaverse? The future of guided learning
Compare Google Bard and Chat GPT
BuzzFeed News closes as company turns to AI, ChatGPT quizzes
Equity in a World of Artificial Intelligence
AWS Enters the Generative AI Race With Bedrock and Titan Foundation Models
Coursera Adds ChatGPT-Powered Learning Tools
The 10-Question Micro-Credential Checklist
What is SlidesGPT and How Does it Work for Teachers?
Useful ChatGPT Prompts for English Language Arts Teachers
Educational Publishers Adapt to a Print Death Spiral
What Is the Impact of ChatGPT on Education?
Carnegie Foundation and ETS partner on competency-based assessments
ChatGPT Is Here to Stay. Testing & Curriculum Must Adapt for Students to Succeed
Class to Release ChatGPT-Powered A.I. Teaching Assistant
ChatGPT and Other AI Tutors: Potential and Pitfalls
Technology and Culture
The New Risks ChatGPT Poses to Cybersecurity
Please Stop Drawing Neural Networks Wrong
Google to deploy generative AI to create sophisticated ad campaigns
OpenAI’s hunger for data is coming back to bite it
ChatGPT is remaking the world on its terms
Generative AI is upending the film industry
Amid the AI hype, don’t forget about no-code
A 12% decline in global smartphone shipments is what passes for stability these days
OpenAI’s CEO Says the Age of Giant AI Models Is Already Over
A look at open-source alternatives to ChatGPT
China Will Be the Global Economy’s Top Growth Driver in Next 5 Years