Artificial Intelligence and Learning

Machines may learn from their experiences, adapt to new inputs, and execute human-like jobs thanks to artificial intelligence (AI). AI can also be used to learn using these cues. Artificial Intelligence (AI) is revolutionising the world and the way we live, much like electricity did nearly a century ago. Machine Learning (ML) and Deep Learning (DL) techniques and models are widely used in a variety of fields, including healthcare, autonomous vehicles, finance, agriculture, human resources, marketing, and many others. Industries are on the lookout for AI experts, but there is a severe shortage of trained experts with practical experience.

• Artificial intelligence can automate basic activities in education, like grading.

In college, grading homework and tests for large lecture courses can be tedious work, even when TAs split it between them. Even in lower grades, teachers often find that grading takes up a significant amount of time, time that could be used to interact with students, prepare for class, or work on professional development. While AI may not ever be able to truly replace human grading, it’s getting pretty close. It’s now possible for teachers to automate grading for nearly all kinds of multiple choice and fill-in-the-blank testing and automated grading of student writing may not be far behind. Today, essay-grading software is still in its infancy and not quite up to par, yet it can (and will) improve over the coming years, allowing teachers to focus more on in-class activities and student interaction than grading.

•  Educational software can be adapted to student needs.

From kindergarten to graduate school, one of the key ways artificial intelligence will impact education is through the application of greater levels of individualized learning. Some of this is already happening through growing numbers of adaptive learning programs, games, and software. These systems respond to the needs of the student, putting greater emphasis on certain topics, repeating things that students haven’t mastered, and generally helping students to work at their own pace, whatever that may be. This kind of custom-tailored education could be a machine-assisted solution to helping students at different levels work together in one classroom, with teachers facilitating the learning and offering help and support when needed. Adaptive learning has already had a huge impact on education across the nation (especially through programs like Khan Academy), and as AI advances in the coming decades, adaptive programs like these will likely only improve and expand.

• It can point out places where courses need to improve.

Teachers may not always be aware of gaps in their lectures and educational materials that can leave students confused about certain concepts. Artificial intelligence offers a way to solve that problem. Coursera, a massive open online course provider, is already putting this into practice. When a large number of students are found to submit the wrong answer to a homework assignment, the system alerts the teacher and gives future students a customized message that offers hints to the correct answer. Artificial intelligence (AI) has the potential to address some of today’s most pressing educational issues, reinvent teaching and learning techniques, and, as a result, accelerate progress toward Sustainable Development (SDG 4). However, these rapid technical advancements inevitably carry with them a slew of risks and concerns that have outpaced policy debates and regulatory frameworks thus far. Artificial intelligence (AI) has been widely used in education as computing and information processing techniques have advanced. Artificial intelligence in education (AIEd) creates new possibilities, difficulties, and opportunities in educational settings