How Artificial Intelligence is Critical in Education
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How Artificial Intelligence is Critical in Education

By CIOReview | Friday, November 26, 2021

Summary: Global usage of educational technology is redefining how we teach and learn. Artificial intelligence is a disruptive technology that enables diverse learning groups, teachers, and tutors to customize their experiences.

FREMONT, CA: Global usage of educational technology is redefining how we teach and learn. Artificial intelligence (AI) is a revolutionary technology that provides customized experiences for varied learning groups, teachers, and tutors. These are just a few of the roles that AI will play in education in the future, and the ones that come after will shape and define the educational experience.

AI has the potential to automate mundane educational processes like grading.

Grading papers and tests for large lecture classes may be a time-consuming task in college, even with the assistance of TAs. Even in the elementary grades, teachers commonly discover that grading takes up a significant amount of time, which could be spent connecting with students, preparing for class, or working on professional development.

While AI will never totally replace human grading, it is on the verge of doing so. Teachers may now automate virtually all sorts of multiple-choice and fill-in-the-blank tests, as well as precisely monitor computerized student essay grading. While essay-grading software is still in its infancy and far from flawless, it has the potential (and will) to develop in the future years, allowing professors to focus on in-class activities and student interaction rather than grading.

Educational software can be tailored to each learner's specific needs.

Personalized learning is one of the most significant ways AI will impact education, from kindergarten to graduate school. Some of this is already accomplished through adaptive learning systems, games, and software. These systems adjust to the needs of the students, highlighting specific topics, reinforcing concepts that have not been mastered, and generally supporting students in working at their own pace, whatever that may be.

This personalized education may be a machine-assisted strategy to combine students with various skills in the same classroom. Teachers promote learning and offer guidance and support when necessary. Adaptive learning has already had a significant impact on educational institutions (mainly through programs like Khan Academy). Adaptive systems like these will probably certainly improve and increase in the following decades as AI advances.

It can help identify opportunities for course improvement.

Teachers are not always aware of gaps in their lectures and instructional materials that can lead to pupils becoming bewildered by specific concepts. AI enables the issue to be resolved. Coursera, a provider of massive open online courses, for example, is already utilizing this. When many pupils submit an incorrect solution to a homework assignment, the teacher is notified. It delivers a customized message to prospective students with guidance on how to resolve the issue. This strategy enables instructors to close gaps in their explanations and ensure that all students have the same mental basis. Rather than waiting for a response from the lecturer, students receive immediate feedback that assists them in comprehending a subject and remembering how to do it correctly the next time.