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Student Sentiment, Text Analytics And Chatbots

Tertiary Education

Summary

Student Chatbots and Analytics are using Artificial Intelligence (AI) to simulate interactive human conversation by using key pre-calculated phrases based on auditory or text-based signals.

 

Collecting and analysing chatbot interaction data is imperative in improving interactions and resolves more issues without the need for human intervention. When introduced correctly, service costs can reduce by 25% to 95% in almost all cases, including reducing the demand during enrolment time, transcript administration, support and enquiries.

 

When combined with data from your student database, student learning cycle and campus location, chatbots can analyse current conversations with seasonal data points, to create personalised student interactions.

 

As an added benefit, the rich student insights and sentiment generated can help human customer service agents to improve their interactions.

Data Collected

Student Data

Social Media Data and CRM

Key Technologies and Processes

Operationalise

Collect and Centralise the Data

Transform the Data into Useful Insights and Predictors

Outcomes

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