April 15, 2021 | Divya Khare

Artificial Intelligence, a powerful tool to personalize education

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Introduction

Artificial intelligence (AI) is quickly changing and improving the manners in which ventures like medical care, banking, energy, and retail work. Nonetheless, there is one industry specifically that offers unbelievable potential for the use of AI advancements: EDUCATION. The chances and challenges that the introduction of artificial intelligence could bring to Higher education are critical.

Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. The goal of personalized learning is to plan a piece of effective information obtaining track that coordinates with the student’s qualities and sidesteps shortcomings to eventually meet the ideal objective. This idea arose quite a long while back and is being adopted by a quickly developing number of educational organizations all across the globe.

Approaches towards Personalised Learning

There are few key approaches toward personalized learning:

  • Adaptive learning: technology used to assign human or digital resources to learners based on their unique needs
  • Individualized learning: the pace of learning is adjusted to meet the needs of individual students
  • Differentiated learning: the approach to learning is adjusted to meet the needs of individual students
  • Competence-based learning: learners advance through a learning pathway based on their ability to demonstrate competency, including the application and creation of knowledge along with skills and dispositions

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Need for Personalised Learning using Artificial intelligence

Innovation is a fundamental piece of human advancement. Regardless of whether it be sticks, stones or cell phones, tech has permitted us to dominate in our surroundings. With tech getting more pervasive and study halls being digitized, the upsides and downsides of artificial intelligence have been the focal point of many discussions among education and tech specialists.

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Virtual Reality Learning: VR-assisted learning takes into educational support help in authentic conditions and expands the limits of the classroom. Realistic immersion in virtual conditions can give students a more extravagant comprehension of the material. This will likewise go about as a stepping stone to certifiable encounters, with completely coordinated AIs, people will utilize machines for space and sea investigation, fraud identification, information the executives, job training, and precision procedures. 

Intelligent Moderation: Intelligent Moderation allows human tutors, moderators and teachers to analyze the data produced by large groups with the assistance of AI techniques like machine learning. In turn, educators can be more efficient in the classroom.

Dynamic Scheduling and Predictive Analysis: By using predictive computing, AI can learn students’ habits and propose the most efficient study schedule for them. This is a benefit for the customer service agent, medical intern, or anyone who does repetitive or laborious tasks; a machine won’t get bored, tired or need a break and should the machine encounter a problem or question out of its programming a human will be contacted to step in. 

Machine Translation: Machine translation is faster and more efficient. While today’s translation apps are not as accurate as human translation. Machine translation has the potential to bridge the language gap for many second language students and makes the learning process easy for them. 

ITS (Intelligent Tutoring Systems): It is not some far-off vision of the future. It is an already existing system in a practical capacity. While far from the norm, they are capable of functioning without a teacher having to be present and can effectively challenge and support the learner using different algorithms.

Learning is a never-ending process. Apart from the few listed advantages, there is much more to learn and understand this vast technology. Collective intelligence can improve and begin to create machines that are more human-like in terms of abilities and strategic decision-making.

Why Pluto7?

Having worked with different educational institutions like University of New Mexico, University of Southern California, Temple University, and many more we realized that there is a gap between traditional ways of learning and personalizing it with machine learning. The use of advanced technology has been a boon especially if you talk about the current scenario. We have a team of experts who with the help of machine learning capabilities can build a speech recognition system that can be used by students and teachers. 

With our Education ML solutions, we are specialized in creating an adaptive learning technology for higher education to understand the gap in student’s understanding and provide relevant help at different levels. 

Talk to our experts to get a deeper understanding of Education ML and how to implement these solutions to make a better learning environment.

 

Contact:

Pluto7 Marketing Team
marketing@pluto7.com

 
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