Lessons learned while texting 30,000 students in 3 days

Posted by Priscilla Lee on January 26, 2017

Applying to college, and then deciding which college to attend, can be a tumultuous and stressful time for high school students. Research has proven that texting students throughout this process can increase student success, and is a relatively inexpensive and effective way for educational institutions to guide students along their journey. AdmitHub uses artificial intelligence to provide instant support to hundreds of thousands of students. Most recently, I was managing conversations by text messaging with 30,000 prospective students about their college plans. I learned a great deal while having back-and-forth conversations with so many students in such a short period of time, and wanted to share some of the lessons I learned.

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Topics: chatbot, messaging, texting, recruitment, artificial intelligence

Why higher education chatbots will take over university mobile apps

Posted by Kirk Daulerio on December 1, 2016

Quick poll: how many apps do you have on your phone? (I have 86...I just counted!)

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Topics: chatbot, colleges, facebook messenger, recruitment, artificial intelligence

How to 10X your university call center efficiency using knowledge base software

Posted by Brian Ruhlmann on November 18, 2016

Amid higher education’s increasingly competitive environment, institutions are looking for ways to develop deeper relationships with prospective, current, and former students. One of the best ways to do this is to have an open conversation. You can learn about your students, answer their questions, and hopefully delight them -- all of which adds up to earning trust and establishing a connection to your institution.

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Topics: colleges, chatbots, texting, artificial intelligence, call center

What can Artificial Intelligence do for me?

Posted by Andrew Magliozzi on November 14, 2016

If you’ve ever heard the term artificial intelligence (AI for short), then you’ve likely had one of these three reactions:

  • Fear: The spectrum of fear ranges from SciFi dystopian terror that Hal or Skynet or the Matrix will take over to general unease that a robot might “take” your job away.
  • Optimism: Again this is a spectrum that ranges from eager anticipation of self-driving cars or an operating system that can be more than a friend to the ho-hum convenience that Amazon or Netflix recommendations provide us on a regular basis.
  • Confusion: This is the most common reaction to the term AI, which is misused by most and misunderstood by even more.

First, let’s clarify what we mean by artificial intelligence:

  • Narrow AI: This is the technology of today that can beat the best humans in games like Chess or Go. The technology of “Deep Learning” is extraordinary in its ability in a single narrow domain. All you need is a lot of data and a lot of computer processing power. This is the AI of today that can play games, diagnose some diseases, and even drive a car... but each of those programs is bespoke and unable to do anything other than what it was trained to do.
  • General AI: This is the technology of the future (at least 30 years from now) that can learn just like a human and is capable of both conversation and even abstract thought.
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Topics: chatbot, artificial intelligence