Technology-assisted learning isn't a new concept. School net has been working in this industry for over two decades. However, in the previous two years, it has grown in popularity and accessibility.
Technology has pervaded the education industry, bringing with it a slew of perks such as online classrooms, personalized learning applications, gamification, and the use of multimedia resources to study.
Artificial Intelligence (AI) and automation are ushering in a wave of disruptive breakthroughs in school-based learning, with the twin goals of scaling up quality education and augmenting each learner's learning through a customized approach.
At a time when students are under a lot of pressure, such as when exams are approaching, technology may help make the teaching-learning process smarter and more efficient.
The use of technology in education should not be limited to after-school activities. Teachers may access a multitude of worldwide resources to take their teaching to the next level by enhancing school infrastructure.
Student engagement will rise as a result of the use of films, animations, virtual experiments, and interactive smart board elements, leading to a rise in retention as well. It is critical to grasp and recall things from the moment they are given in order to perform well on tests.
Technology bridging the gain
In its suggestions to fight learning poverty, the World Bank emphasizes the need for home studies to supplement what pupils learn in school. Reading the same literature as in school or viewing films to help with conceptual clarity, virtualizing the same experiments done in schools, and using e-readers are all excellent ways to synchronize a child's learning path. Through curriculum-aligned electronic textbooks, practice engines, and adaptive assessments, technology may give that learning continuity at home.
For example, practice is essential to mastering a topic like math. After a student has grasped a notion and the reasoning behind a theorem (which may be taught in a variety of ways), it is critical to practice its application in order to do well on tests. Many practice questions are included in today's textbooks, however they are not always suited to each student's competency levels. This is where AI/ML comes into play.
It learns a student's habits and typical blunders, analyses his or her necessary knowledge, and then offers a customized learning route based on this analysis. It may also create more and more questions for the student to practice with in seconds.
The software's recommendations get more precise as one practices more. This repetition and reiteration of questions covering a variety of topics is far more efficient than depending on a set of limited questions that all students, regardless of their learning abilities, employ. It also provides immediate and personalized feedback, which is not always achievable in a single-teacher classroom.
For example, Gene, our customized learning app, uses ongoing evaluations to verify that a student understands a concept before moving on, or it offers prerequisite subjects that need to be reviewed. It enables a learner to return to the needed point in the overall learning curve and guarantees that the foundations are learned in order to acquire proficiency at each level.
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