Digital tools and artificial intelligence are changing the face of learning and work. From computers, intelligent tutoring systems, AI chatbots (software applications used to simulate human-like chat conversations online), and question-answering digital teaching assistants to personalized learning programs using machine learning to adapt to each learner’s current performance, AI is bringing about a new age of teaching and learning in workforce development contexts.
Beyond impacting the process of teaching and learning, machine learning in the workplace is also changing what capabilities individuals need to develop to be successful at work. At the Next Level Lab, we explore ways in which AI is changing how we think about learning and working, and consider how to support workers in developing uniquely human skills that will allow them to complement the work of machines rather than be replaced by them.
The following research briefs and blog posts from Next Level Lab researchers offer a range of ideas about how AI and intelligence augmentation are shaping the nature of work, as well as how emerging educational technologies can support learning in workforce development contexts:
Intelligence Augmentation: Upskilling Humans to Complement AI
Next Level Learning Environments for Next Level Work: Applying the Learning Sciences to Technology-Enabled Training
Navigating A World of Generative AI: Suggestions for Educators
Preparing Students to Augment Artificial Intelligence Rather than to be Replaced by Machine Learning
AI Isn’t Coming for Us Just Yet: What Humans Bring to the AI Equation
Skills Are Not Enough: Developing Workers’ Dispositions to Succeed in an Uncertain, Disruptive World