Intelligence Augmentation and Educational Technology

Digital tools and artificial intelligence are changing the face of teaching and learning. 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 (a branch of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so) to adapt to each student’s current performance, artificial intelligence (AI) is bringing about a new age of teaching and learning from pre-K through workforce training.

AI is not only impacting the process of teaching and learning; machine learning (ML) in the workplace is also changing what capabilities educators should cultivate and what students need to learn for their future occupation. 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.

We also focus on the potential for learning sciences-informed technology in workforce development. Evidence suggests that digital tools are often underutilized or misapplied resources in training and workforce development contexts. When designed effectively, however, these powerful immersive technologies can provide highly contextualized hands-on experiences that offer learners agency, feedback, and opportunities for reflection, taking different perspectives, and practicing adapting knowledge to new scenarios. Our work examines the potential of these new and emerging technologies to improve Next Level Learning, especially focusing on how features of different applications foster different learning outcomes, accounting for differences in learners’ prior experience and skills.

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