Education, the base for innovation and growth, requires a transformation from the way it is currently structured and delivered. This would necessitate a huge change in the education system, however, technology can help us realize most of these changes. Even though we may need to wait for a few more decades for a complete transformation, artificial intelligence (AI) has already been having a major impact. Below is a list of areas in the current education system where AI is having an effect.
Eases the information access
Students should not be lost in vast amounts of information. Context-related and customized information access helps them grasp the knowledge faster by saving effort and time. It helps them to enjoy learning because it is based on their preferences, interests and encourages them to have different experiences while doing research.
How AI enabled Google to provide search results based on user’s location, for instance. Or how Amazon makes recommendations based on previous purchases.
Just like these examples, the intelligent systems of AI now enable the educational service providers to serve students based on their preferences and interests with respect to academic content.
Changes the role of educators
Educators play an important role in students’ lives, and by no means can technology replace them. However, their role would continuously undergo change in future due to the entry of intelligent computing systems in education. As AI takes over tasks like evaluation of assessments, and providing expertise and personalized help to students, the role of educators would become that of facilitators. Thus, educators would be able to assist students who require additional help, supplement AI lessons, and share that hands-on experiences for students. A blend of intelligent systems capabilities and the human touch would make the education system more impactful.
Helps find the best academic institution or program
The AI based intelligent recommendation engines would process data and give recommendations to students on the most suitable academic institution or academic program based on their interests, skills and capabilities. Aside from helping them make the right decisions, AI could offer guidance to students going through the required training, and procedures. That extra help would ease their adaptation to a new academic institution or program.
Promotes trail-and-error method of learning
As artificial intelligence systems learn themselves by trial-and-error, these systems are more suitable to deliver the same type of learning format for students. This helps students learn theoretical concepts in a more practical and experimental manner without the fear of failure and being judged by educators. The personalized assistance from AI systems is the most effective way of boosting confidence when attempting trial-and-error methods.
Promotes adaptive learning
AI’s adaptive learning pattern helps students at different intellectual levels learn together in a classroom, where educators offer the required assistance and guidance when needed. The growing numbers of adaptive learning programs, games, and utilities make learning more individualized across various levels of education spanning from kindergarten to finishing schools. These intelligent systems respond to the needs of students in multiple ways such as putting greater emphasis on certain topics, reminding students about the topics where they need to put in more effort, customizing the course progress according to their own pace, and so on.
Provides pointers for content improvement
Educational material may have a few gaps in the content or sometimes students may not comprehend the content, which leads to confusion, demotivation, and loss of interest.
AI can provide a customized message that provides hints to the right answer. By and large, whether proactive or reactive, students get immediate feedback so that they can correct their understanding and remember how to do it correctly the next time around. This way, they need not always depend on, or wait for an educator’s assistance.
Promotes learning in a global classroom
Learning becomes more interesting, intuitive and adaptive when it includes simulations and games. The related technology can provide a trustworthy, and immersive environment to stimulate the hidden interests and enthusiasm of student. AI technology can promote newer ways of learning, engage students in co-developing knowledge, and involve them in university research activities. In fact, people outside of the university and from across the globe can participate in scientific discovery through global classrooms. AI can make courses available to a wide range of people, and can promote a wide range of university subjects through massive open online courses (MOOCs).
Helps monitoring performance
AI can track the performance of students as well as universities to measure if they reach their full potential and, if required, take necessary steps. In addition, such data can be useful to predict the possible drop outs, and take necessary preventive steps. AI can help university administrative processes to take advantage of the data produced during research and teaching activities. Furthermore, this data can be used to monitor performance against their research, training and social activity roadmaps.
Daisy Ridley has been in the data management industry for more than 15 years now. She is presently working as a senior data analyst at Mindmajix.com. As a senior data analyst, she oversees and conducts the conversion of data into insights that will lead to informed business decisions. She also develops clear and well-structured analytical plans and analyzes large data-sets and this will include, analyzing administrative data, and other data-sets and statistical analysis of a mildly urgent/sensitive nature. Her previous experiences include data analyst at AltexSoft and 4Licensing Corp
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