Advantages of AI in Personalized Education

Education Technology Insights | Tuesday, July 16, 2019

Artificial Intelligence facilitates teachers in tailoring the instruction depending upon every student’s needs.

FREMONT, CA: It might not always be possible for teachers to pay attention to all the activities of every student, but with Artificial Intelligence (AI), personalized learning will now become standard practice. AI assists educators in scaling instruction for all the students in the classroom.

Personalized Education

Personalized education experiences grow out of designing optimized instruction to meet the needs of each learner. The educational approach might be overwhelming, but teachers can make tailored instruction easy by enlisting artificial intelligence and technology in the process.

Educators scaling personalized learning with the help of technology must commit to the following needs:

• Employ research, technology innovations, planning strategies, and procedures.
• Engage in professional growth opportunities aimed at enhancing pupil efficiency.
• Use of technology devices and access to robust WiFi networks that support digital instruction.
• Include an array of digital media in the classroom.
• Flexible seating arrangements based on the assignment and project so that students can make a smooth transition in and out of their collaborative groups.

AI Into the Classroom

Teachers collect an extensive amount of data that details a student’s work and learning outcome. The educators collect information like homework folders, portfolios, and interactive journals in the pursuit of developing the learner.

With the help of all the available data, AI can follow the learner’s progress from year to year by creating a comprehensive picture. Teachers can subsequently analyze the trends in the data and intervene swiftly; with the help of interactive software, educators can speed up or slow down the instruction based on the pupil's need.

Some of the roles of AI that facilitate the educator’s ability to work independently with students are:

Adaptive Instruction: Learning programs that rely on artificial intelligence can respond spontaneously to the student’s need offering practice, reteaching, or presenting the next lesson.

Grading: Multiple choice assessments have long been computer-graded, but now artificial intelligence can also scan and evaluate essays, and in that case, AI is quick and objective.

Analysis and Evaluation: AI not only grades the student’s work but also collects the data and analyzes it. The information allows teachers to evaluate the efficiency of their instruction and bring down the learning to student need.

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