An AI-and messaging-First Model For Student Experience

An AI-and messaging-First Model For Student Experience
AI-and messaging-First Model

Key Takeaways

  • The complexity and massive size of a university or a college can make navigating systems and services frustrating for students. They might choose to drop out in case the hurdles within its necessary processes restrict their progress.

  • Thoughtful implementation of artificial intelligence (AI) can ease the process of guiding students throughout their academic journey and make them self-capable of taking advantage of all the available resources.

  • Using conversational AI technology to manage interactions between a student and an institution will ensure student success and improve the professional lives of faculty members and other professionals at a campus.

Higher education institutes implement a wide range of strategies in order to enhance the student success rate. A few methods involve sophisticated analytics of data to identify students who need intervention. Some methods are applied to develop emotional and social resources for students, so they can meet their educational objectives.

Challenges Of Fragmented Student Experience

As conversation platform designers, we often see the higher education sector overlooking the opportunities of “user experience” in student outreach and engagement. Students depend on institutional resources and services to make smart academic, lifestyle, career, and financial choices. But most students find institutional resources tangled in a maze-like structure without any navigation assistance present.

The low quality of student experience lies between the fragmented and broken models.

In our AI partnership experience, we have found that institutions wish to assist students on an individual level. They want to guide every student on an enriching and fulfilling journey towards desired outcomes. Artificial intelligence has the potential to empower both students and institutions with the ease of support and engagement. Thoughtful AI implementation will amplify the abilities of faculty members and advisors to effectively help students.

Here’s how a well-connected network of resources looks like with an AI-first model:

AI First Model for student Outreach
AI First Model for Student Outreach

So, where is that dynamic AI solution to understand every student’s intent and assist with the right resources whenever they need?

The answer lies at ORAI. Our AI-first model for student experience has helped many of the renowned higher education institutions. We have designed an AI-powered Performance Platform to centralize every aspect of student experience and Student engagement:

AI Enabled University a Student Central Strategy
AI Enabled University
  • Pre-academia

  • During academia

  • Post-academia

An AI bot able to answer FAQs and provide admission resources to students instantly 24*7.

ORAI’s AI chatbot helping students through the whole admission process
ORAI’s AI Chatbot Can Help Students Through The Whole Admission Process

So, how can you deploy technology like ORAI’s across all your university's offerings? Would any generic chatbot interface be enough?

While a generic chatbot can answer only limited questions, AI-based conversational interfaces can understand the free-form of texts coming from humans to flexibly change their responses. So, you need to go beyond chatbot.

Merging Conversational AI With Traditional UI

For a college or university to provide a genuinely context-driven student experience, we believe an AI-first student interaction model should be merged with traditional interfaces:

1. Contextual Conversations

Most interactions begin with an initial conversation, which allows the system to identify a student’s unique intent and preferences. Blending a conversational system with traditional lists, images and butto