For educators, AI needs to be seen as a powerful tool but still a tool—not a substitute for a human teacher or administrator.

Do we do our best work for machines?

For educators and administrators, AI needs to be seen as a powerful tool but still a tool—not a substitute for a human teacher or administrator

The revolution in artificial intelligence (AI) and machine learning (ML) has been a long time coming. Since the mid-1980s, scholarly journals have been predicting the widespread adoption of AI in education. However, momentum is accelerating.

Just four years ago, a study predicted that AI in education and learning would increase 47.5% through 2021; as it turned out, the prediction was conservative.

The current landscape

AI and ML are being used at every step of the student and educator journey to:

  • Build statistical models of student knowledge, evaluating student achievement and instructor proficiency
  • Streamline recruiting and reduce unconscious bias
  • Create a digital “paper trail” for audit purposes
  • Organize and optimize learning materials, and continually update them based on student and instructor feedback
  • Create optical systems that can automatically grade students’ work with a cell phone picture
  • Move toward AI-powered voice recognition systems that can help detect reading issues
  • Make scheduling algorithms that can help determine optimal learning times for students and subjects
  • Construct grading systems that quickly aggregate assessment data and decrease response time to student needs
  • Create rule-based tutoring systems that “learn” from student errors and teacher corrections

That’s all in addition to broader-scale, district-wide assessment and application.

Are the machines taking over?

To many, that sounds like technology successfully educating and preparing kids; to others, it may sound like the machines are taking over.

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