The Future of Online Learning Is Shaped by Emotional AI Post-COVID-19

The Future of Online Learning Is Shaped by Emotional AI Post-COVID-19

Advances in technology have shown how important it is to understand both the cognitive and emotional channels of human interaction. A branch of emotional computing called emotion recognition aims to do just that. You have to be able to recognize, filter and decipher verbal and non-verbal cues to understand someone else’s feelings.

By their very nature, emotions are intangible, but not in the way we communicate them. We have been trained to detect and understand non-verbal and vocal cues; now we do it automatically. One of the many signs someone gives off when they experience something is the way they look, gesture, talk, and use their voice. At present, it is considered a specialized application to be able to correctly discern human emotions.

In anticipation of the impending mainstream adoption of emotional AI, tech giants and startups in various industries including automotive, retail and edtech have invested in making their products more human through computer vision and voice recognition. Another prediction made by Gartner is that in two years, 10% of individual devices will be able to use Emotional AI. Projections show that the global dynamic AI market will grow at a compound annual growth rate (CAGR) of 11.3%, from US$19.5 billion in 2020 to US$37.1 billion in 2020. here 2026.

One of the major drivers for the expansion of the market is the widespread use of IoT, AI, ML and deep learning technologies. Other significant factors include the growing need for socially intelligent artificial agents and increased demand in the automotive AI industry.

Emotional AI is a valuable asset that can offer new metrics for understanding people and inventing products and services in the future. This has caused ed-tech learning systems around the world to pay attention to emotional AI. Emotion AI is increasingly being used on domestic platforms by India’s IT industry, which was valued at $265 million in 2019 but is expected to reach $1.7 billion by 2022 (a multiplication by six).

Online learning could be transformed in several ways by emotional AI.

By being aware of their students’ emotions, teachers can better meet their needs and provide them with content that will hold their interest. The existing online training delivery model has prevented instructors and students from producing the required results due to communication issues. Uncertainty replaced the amount of feedback provided by in-person instruction, which strengthened the bond between professors and students.

Emotion AI will significantly benefit the education system in this circumstance. The ability to collect and analyze data on student reactions can successfully replace the need for students and teachers to physically engage. It is also possible to develop a program that uses the same technology to enhance learning.

Additionally, instructors can better assess student performance by observing students’ emotions as they engage with course material. The course can then be changed using this entry. Teachers’ ability to recognize, measure, and respond to diverse student learning behaviors can be significantly enhanced by Emotional AI. The information gathered can also give teachers meaningful critiques and inspire changes in their teaching methods. This can help determine the student’s level of concentration and highlight the part of the lesson the student is having trouble understanding.

Second, we can identify stress indicators in student voice data using speech recognition, alerting teachers to repeat or explain instructions further. In a typical classroom environment, teachers are aware of these intricacies, and when everything shifts to virtual support, emotional AI can help increase the effectiveness of remote learning.

how online learning could revolutionize higher education |  world economic forum

Teachers can modify their teaching to maximize student learning using technologies such as face coding, eye tracking, and AI UX emotion testing approaches. Through emotion analysis and AI-based algorithms, teachers can learn more about each student’s emotional intelligence, cognitive abilities, and behavioral skills. The program can be adapted using technology that monitors and analyzes student learning patterns.

Outdated educational paradigms have been around for quite some time, and Covid-19 has helped individuals realize this. Smart online teaching resources, distance learning platforms and digital learning environments are becoming increasingly popular. By integrating Emotion AI into their platforms in the post-Covid-19 future, thinkers, makers, and educators can bring about major and lasting change. Emotion AI in education is a new concept that has the potential to be a very effective educational tool that can be individually customized for each learner.

emotion ai – the future of artificial intelligence?

AI that can recognize emotions has enormous potential and its uses are still being explored. By providing students with a more individualized and engaging learning experience, Emotional AI has the potential to revolutionize the online learning environment. Although the technology is still in its infancy, it holds great promise for improving online learning for students and teachers.

Future online learning environments are expected to increase the importance of emotional AI. The way humans learn will change as technology advances and becomes more sophisticated and pervasive.

edited and proofread by Nikita Sharma

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