Giving Compass Take:

· Robert F. Murphy's reviews the application of artificial intelligence (AI) in K-12 education and reveals three promising efforts, but also identifies technical challenges that need to be addressed before the full potential of these applications can be realized.

· What technical challenges need to be addressed to get the full potential of AI? How will the applications supplement teachers?

· Read more about artificial intelligence and its application in education.

The successes of recent applications of artificial intelligence (AI) in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics have been well documented in the academic literature and popular media. The increasing availability of large digital data sets, refined statistical techniques, and advances in machine-learning algorithms and data processing hardware, coupled with large sustained corporate investments, have led to dramatic gains in speech, image, and object recognition.

In turn, these gains have enabled transformational advances in technologies impacting everyday lives; such advances include autonomous driving capabilities, intelligent virtual assistants (e.g., Apple’s Siri, Amazon’s Alexa, Google Assistant), medical imaging diagnostics, text-to-text language translation, and speech-to-text applications.1 In comparison, the influence of AI applications in the education sphere, which first appeared almost four decades ago, has been limited. However, increasingly, product developers, AI researchers, education technology advocates, and venture capitalists are turning their attention to education and speculating about ways that advanced AI techniques, such as “deep” machine learning, may dramatically shape the future of kindergarten through grade 12 (K–12) education, including classroom instruction, the role of the teacher, and how students learn.

Read the full article about artificial Intelligence and its application in education by Robert F. Murphy at RAND Corporation