More Colleges Use Chatbots to Communicate Online

 

Imagine you are about to complete high school and are thinking about attending a college or university.

After doing some research, you find a school you would like to attend, but have questions about the admissions process. So you go to the school’s website in hopes of finding a few answers.

Time goes by and you still do not have the answers. You almost feel like giving up. But then a message appears on your computer or personal electronic device. It says something like: “How can I help?”

Writing back to the website, you try to explain your problem. You possibly get a few questions in response to clarify what your concerns are. Then, almost immediately, the person with whom you are in contact provides the information you are seeking.

Except, you are not actually communicating with a school official. You are not even dealing¹ with a human being. You are in contact with a computer program, or chatbot. It is using artificial intelligence, AI for short, to understand and communicate with you.

This might sound strange. But chances are this would not be the first time you have communicated with a computer program without knowing it. In recent years, chatbots have become a common tool for banks and large companies around the world.

Having human beings available to answer people’s questions and complaints can be costly², requiring many workers. And in most cases, employees can only work a set number of hours in a day, increasing the amount of time customers wait for a response.

So not just companies, but a growing number of colleges and universities have also begun using chatbot technology, says Keith Rajecki. He is with Oracle³ Higher Education, a computer software company that serves these institutions.

Oracle offers several software tools now in use at hundreds of schools in the United States, the United Arab Emirates and other countries. These tools help with almost everything, from academic record keeping to employee services, and most include a chatbot in their programming.

Rajecki notes that reducing costs and response times is one of the main reasons schools and companies are turning to this technology. However, the goal of many colleges and universities is to find ways to better serve students.

Part of that relates to the fact that the current generation of college students are used to communicating online, said Rajecki. They already talk with their friends and family members through social media messaging service like Facebook and WeChat.

But most importantly, he said, students want support outside of the hours when it is normally available.

“Yes, traditional students are in the class at set hours. But the reality is, a lot of the work that they do and continued interaction with the institution … takes place outside of the classroom, online … day and night,” Rajecki told VOA.

Australia’s University of Adelaide noted⁴ major improvements in its service to students after deploying⁵ an Oracle chatbot to deal with admissions questions in 2018. It said that students received responses 13 times faster, and students’ approval of the quality of service increased by 60 percent

Now Oracle is offering one program for all areas of support services that colleges or universities provide to their students and employees. This includes a chatbot that can do everything from helping⁶ students register for classes to helping professors request time off.

Oracle is not the only company working on this kind of technology. Businesses like AdmitHub and Ivy⁷.ai are involved in similar efforts. Several schools have also created their own systems.

Western Governors University, or WGU, operates completely online, meaning it has no actual grounds or physical campus. In 2018, the school’s non-profit research agency, WGU Labs, received a $750,000 award from the National Science Foundation to experiment with a new kind of chatbot.

“We’re not trying to create a bot that answers simple questions … or anything like that,” said Jason Leven, the executive director of WGU Labs. “We’re really trying to create an agent that can help … decision making for students.”

Like Oracle, WGU’s chatbot software will use machine learning to study past interactions between students and other chatbots, Leven said. This will enable the program’s artificial intelligence to continuously learn and improve its communication skills.

But additionally, he noted, the goal is to collect information about the school’s students. This includes expectations on how much time they can commit to their studies, how long they think a study program should take to complete and what kind of career they want.

Then when a student who is unsure of the program or field of study they are interested in visits the WGU website they can interact with the chatbot. This chatbot can then help the student find the program that best meets their needs. It may even suggest they are too busy to seek higher education at that time, to ensure they do not try and fail, said Levin.

However, not everyone is ready to consider the possibilities this kind of technology presents.

Ian Jacobs is with the market research company Forrester. He suggests that technology like chatbots can work well if it is able to do what users ask of it. Jacobs says the problem is when cost cutting becomes an important reason for deploying the technology. This means schools and companies are more likely to try using chatbots for things they are not yet able to do.

AI programs are not yet able to fully⁸ interact in the way humans do, he notes. For one thing, there are hundreds of ways to word even simple requests. When chatbots make mistakes in especially difficult situations, this can result in really problematic user experiences.

“What happens when…a parent dies and the student has to renegotiate financial aid. That is an incredibly emotional experience…You wouldn’t want to automate⁹ that...And I think, right now, higher education is not really good at figuring out where human beings need to be involved,” said Jacobs.

I’m Dorothy Gundy.

And I’m Pete Musto.

Words in This Story

response – n. something that is said or written as a reply to something

artificial intelligence – n. the power of a machine to copy intelligent human behavior

complaint(s) – n. a statement that you are unhappy or not satisfied with something

customer(s) – n. someone who buys goods or services from a business

institution(s) – n. an established organization

academic – adj. of or relating to schools and education

interaction – n. the act of talking or doing things with other people

commit – v. to say that someone or something will definitely do something

incredibly – adv. in a way that is very intense

automate – v. to run or operate something, such as a factory or system, by using machines or computers instead of people to do the work

1 dealing   

n.经商方法，待人态度

参考例句：

• This store has an excellent reputation for fair dealing.该商店因买卖公道而享有极高的声誉。
• His fair dealing earned our confidence.他的诚实的行为获得我们的信任。

2 costly   

adj.昂贵的，价值高的，豪华的

参考例句：

• It must be very costly to keep up a house like this.维修这么一幢房子一定很昂贵。
• This dictionary is very useful,only it is a bit costly.这本词典很有用，左不过贵了些。

3 oracle   

n.神谕，神谕处，预言

参考例句：

• In times of difficulty,she pray for an oracle to guide her.在困难的时候，她祈祷神谕来指引她。
• It is a kind of oracle that often foretells things most important.它是一种内生性神谕，常常能预言最重要的事情。

4 noted   

adj.著名的，知名的

参考例句：

• The local hotel is noted for its good table.当地的那家酒店以餐食精美而著称。
• Jim is noted for arriving late for work.吉姆上班迟到出了名。

5 deploying   

（尤指军事行动）使展开( deploy的现在分词 )； 施展； 部署； 有效地利用

参考例句：

• Provides support for developing and deploying distributed, component-based applications. 为开发和部署基于组件的分布式应用程序提供支持。
• Advertisement, publishing, repair, and install-on-demand are all available when deploying your application. 在部署应用程序时提供公布、发布、修复和即需即装功能。

6 helping   

n.食物的一份&adj.帮助人的，辅助的

参考例句：

• The poor children regularly pony up for a second helping of my hamburger. 那些可怜的孩子们总是要求我把我的汉堡包再给他们一份。
• By doing this, they may at times be helping to restore competition. 这样一来, 他在某些时候,有助于竞争的加强。

7 ivy   

n.常青藤，常春藤

参考例句：

• Her wedding bouquet consisted of roses and ivy.她的婚礼花篮包括玫瑰和长春藤。
• The wall is covered all over with ivy.墙上爬满了常春藤。

8 fully   

adv.完全地，全部地，彻底地；充分地

参考例句：

• The doctor asked me to breathe in,then to breathe out fully.医生让我先吸气，然后全部呼出。
• They soon became fully integrated into the local community.他们很快就完全融入了当地人的圈子。

9 automate   

v.自动化；使自动化

参考例句：

• Many banks have begun to automate.许多银行已开始采用自动化技术。
• To automate the control process of the lathes has become very easy today.使机床的控制过程自动化现已变得很容易了。