How Conversational AI is Transforming the Education Sector

The conversational AI is helping the education sector to increase the efficiency of education as it improves student engagement.

FREMONT, CA: The conversational AI chatbots enable web-based, self-paced, and synchronous learning so that it becomes easy to concentrate on individual students and increase the quality and outcome of the teaching. It is the objective of the online educational platforms where the Yellow Messenger conversational AI technology and in-house developed natural language processing engine plays a crucial role.

Artificial intelligence has impacted education, learning, and teaching in various ways. Here are some of how Yellow Messenger AI-powered chatbots can help.

• Developing insights on how learning happens

• Re-organizing the classrooms

• Two-way feedback

• Allowing new ways of learning, education, and teaching

• Transforming the way knowledge is assessed

• Increasing the efficiency of teaching

• Personalization

Chatbots is the child of AI experiment, and in the last few years, it has taken the lead in enabling all the approaches mentioned above. Here are some of the elements of conversational AI in the educational sector.

Elements of Conversational AI in the Education Sector

The Yellow Messenger conversational AI allows the educational institutes to offer the best education to the students, administrative staff, and the assistance of the teachers. It helps them with real-time data and decreases the workload so that more value can be added to the work.

Educational Chatbots

The conversational AI can be utilized in the educational chatbots so that it can mediate learner's interactions with the help of learning materials, peers, or instructors by using Technology-Mediated Learning (TML). The AI-based chatbots enable web-based, synchronous, and self-paced learning so that the teachers can concentrate on individual students. It even allows the students to actively utilize chatbots in their learning procedure to increase the quality and result of the learning. It also helps in decreasing teacher intervention as the chatbots offer instant answers, which allows the teachers to upgrade the courses based on the requirement of each student.

Student Engagement

Student engagement can be referred to as the amount of interaction among the educational institutes and the students. It can differ from one student to another because their attitude and trust in chatbot-mediated learning (CML) varies. Emotions during learning like anxiety, joy, or anger, and stable personality traits like conscientiousness, neuroticism, and agreeableness have a significant impact on the student by CML. Moreover, the educational background, social, and technological skills can also influence the students.

CML can interact with every student based on their individuality, and the result relies on the characteristics of the individual learner. The conversational AI can enhance student engagement by permitting them to ask questions which they might hesitate to ask in front of the class. It can also record the pace of student learning to offer personalized education.

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