In Summary
  • Artificial Intelligence (AI) can provide personalised learning, assist in marking or grading and offer translation services that can enhance both learning and teaching experience.
  • The learning system can place students with different capabilities on different and appropriate learning paths, based on their most recent performance as the course progresses.
  • AI can come in handy in assisting the teacher to grade assignments.
  • It can also be a translation tool particularly for the early childhood education subsector.

As our schools laptops project continues to face hurdles, folks in advanced economies are forging ahead to the next level by integrating Artificial Intelligence (AI) into their educational sector.

AI can provide personalised learning, assist in marking or grading and offer translation services that can enhance both learning and teaching experience.

Personalised learning means that the system can adjust the learning content based on student-specific needs or weakness. A teacher can now avoid using the one-size-fits-all approach that is common in traditional learning environments.

AI provides personalised learning, based on the testing and instant feedback arising from students as they engage with the digital learning platforms.

These types of systems respond to the needs of the student, putting greater emphasis on challenging topics or repeating content and tasks that students may not have mastered.

The learning system can therefore place students with different capabilities on different and appropriate learning paths, based on their most recent performance as the course progresses.

Students can also learn at their own pace as teachers get alert messages that flag out students who are not making the expected progress despite the personalised learning paths being presented.

Computer vision, another branch of AI, can also be deployed to capture and decipher student’s facial expression in real time, enabling teachers to pick out the students who are lost or struggling with concepts but are probably too shy to admit it or seek help.

Teachers can then have targeted and instant interventions rather than wait till the end of term to mark and award 'fail' grades to the struggling or absent-minded students.

GRADING

Which brings us to the issue of grading or marking of scripts - the ultimate teacher’s nightmare.

With class sizes ranging from sixty to one hundred students in public schools, an average teacher would need to grade around five hundred scripts per week if they were to give out one assignment for each of the five subjects taught in a week.

AI can come in handy in assisting the teacher to grade assignments. Already the multiple-choice assignments are easy to do using technology but essay-based assignments are the next target for automated grading.

Using machine-learning algorithms, computers are now able to derive meaning and context from text-based answers. Though still at a rudimentary stage, this technology will be a game changer in the lives of teachers or lecturers.

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