Interaction with learners

How Emotion AI will change the landscape of online learning

With the development of technology, it has become apparent that understanding the cognitive and affective channels of human connection is crucial. Emotion recognition is a branch of affective computing that seeks to do this. To understand someone’s feelings, one must be able to recognize, sort out and interpret verbal and non-verbal cues.

Emotions are intangible by their fundamental nature, but not in the way we express them. We are all conditioned to look for and interpret verbal and non-verbal cues; now we just do it unconsciously. The way someone looks, gestures, talks and uses their voice are just a few of the many clues that reveal how they feel. The ability to accurately identify human emotions is currently considered a niche application.

With the upcoming widespread adoption of Emotional AI, tech giants and startups in various industries including automotive, retail, and information technology have invested in making their technology more human using computer vision and voice recognition. Additionally, Gartner predicts that 10% of individual gadgets will have Emotional AI capabilities in two years. The global emotional AI market is projected to grow at a compound annual growth rate (CAGR) of 11.3%, from US$19.5 billion in 2020 to US$37.1 billion. by 2026. Global adoption of IoT, AI, machine learning and deep learning technologies, growing demand in automotive AI industry, growing demand for operational excellence high and growing need for socially intelligent artificial agents are some of the key factors propelling the growth of the market.

A key asset, emotional AI can provide new metrics for understanding people and reinventing products and services in the future. With this, Emotional AI has caught the attention of ed-tech learning platforms around the world. India’s IT sector, which was valued at $265 million in 2019 but is expected to grow to $1.7 billion by 2022 (a six-fold increase), is increasingly using AI emotion on national platforms.

Emotion AI has the potential to transform online learning in several ways.

By understanding learners’ emotions, educators can better respond to their needs and provide them with material that is more likely to hold their attention and interest. Due to communication issues, the current style of delivering online instruction has prevented faculty and students from delivering the desired results. Instead of the abundance of feedback that in-person learning provided and enhanced the interaction between faculty and students, ambiguity has now taken its place. This is a situation where Emotion AI will really help the education system. The physical interaction between students and teachers can be successfully replaced by the ability to collect and analyze student reaction data. There is also plenty of room to create a program that uses the same technologies to enhance the learning process.

Additionally, by monitoring learners’ emotions as they interact with course material, educators can get a better sense of how well they understand and retain information. These comments can then be used to adjust the course accordingly. Emotion AI can dramatically improve instructors’ ability to recognize, quantify, and respond to a range of student learning behaviors. The data collected can also give teachers insightful feedback and encourage responses to change their teaching approaches. This can help determine the learner’s level of concentration and identify the part of the subject that the student finds difficult to understand.

Second, using speech recognition, we can detect signs of stress in student voice data, alerting teachers to repeat or clarify instructions. Teachers are aware of these intricacies in a traditional classroom, and when everything shifts to virtual support, emotional AI can help boost the effectiveness of remote teaching.

Through the use of technologies such as eye tracking, face coding, and AI UX emotion testing methodologies, instructors can modify their content to maximize their students’ learning. Teachers can learn more about each student’s emotional intelligence, cognitive talents, and behavioral skills through the use of AI-powered emotion analytics and algorithms. Using technology to track and analyze student learning habits can help adapt the curriculum.

For some time, educational paradigms have been out of date and Covid-19 has helped people realize this. The demand is increasing for digital learning environments which are smart online teaching tools and distance learning platforms. In a post-Covid-19 world, thinkers, makers and educators can create meaningful and lasting change by integrating Emotion AI into their platforms. Cutting-edge idea, emotional AI in education is a powerful learning method that can be specifically tailored to each learner.

The potential of emotional AI is considerable and its applications are only beginning to be explored. Emotion AI has the potential to transform the online learning landscape by providing a more personalized and engaging experience for learners. Although the technology is still in its infancy, it holds great potential to improve the online learning experience for students and educators.

In the future, emotional AI is likely to play an increasingly important role in the e-learning landscape. As technology develops, it will become more sophisticated and pervasive, transforming the way we learn.



The opinions expressed above are those of the author.


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