Artificial Intelligence and Learning

摘要

Rapid technological advances, particularly recent artificial intelligence (AI) revolutions such as generative AI (e.g., ChatGPT, DALL-E), digital assistants (e.g., Alexa, Siri), self-driving cars, and humanoid robots, have changed human lives and will continue to have even bigger impact on our future society. Some of those AI inventions already demonstrated potential for surpassing human intelligence and cognitive abilities; see, for example, the historic events of Watson (IBM’s supercomputer) and AlphaGo (Google DeepMind’s AI program) beating the human champions of Jeopardy and Go games, respectively. At the same time, there were new revelations of AI limitations and biases. Thus, AI advances raise challenging questions for education. Will AI replace human intelligence and learning? What are the new models of education toward effective and ethical uses of AI? What are the key enablers of the AI revolution, such as big data and machine learning? What applications of AI may help improve the quality of education? Answering these critical questions requires interdisciplinary research that cuts across the fields of education psychology, learning science, AI/data science, and technology. Because it is an emerging field of research, the literature is in flux and expanding. Thus, our goal here is to give readers a quick introduction to this broad topic by drawing upon a short selection of readings. This entry is organized into three major sections, where we present commentaries along with a list of annotated references on each of the following areas: (1) AI Impacts on the Society and Education; (2) AI Enablers: Big Data in Education and Machine Learning; and (3) Applications of AI in Education: Examples and Evidence.