What is Artificial Intelligence?

In the field of artificial intelligence (AI), computer science is being leveraged to create intelligent machines that more closely resemble humans in their functions. Having access to abundant knowledge, including categories, properties, and relationships between various information sets is the basis of the knowledge engineering that allows computers to simulate human perception, learning, and decision-making. For example, machine learning is a subset of AI that refers to computers programmed with algorithms that respond to new inputs after being trained on a different learning data set, resulting in their ability to act and react without being explicitly programmed to do so. Neural networks is a significant area of AI research currently proving to be valuable for more natural user interfaces through voice recognition and natural language processing, allowing humans to interact with machines similarly to how they interact with each other. By design, neural networks model the biological function of animal brains to interpret and react to specific inputs such as words and tone of voice. As the underlying technologies continue to develop, AI has the potential to enhance online learning, adaptive learning software, and simulations in ways that more intuitively respond to and engage with students.

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(1) How might this technology be relevant to the educational sector you know best?

  • AI is already able to address common learning challenges. Software can help us track the students learning process so we can identify their problems, and, with data analysis, predict their performance. Further, it can provide real-time feedback and improve the students' performance. But, it is not limited to helping the instructors to evaluate: It can also support content delivery. Systems for deep learning can read, write and imitate the behaviour of humans. "Intelligent tutoring" powered by companies as Cognii can help students improve their own learning. - Anna.Carlsson Anna.Carlsson Nov 14, 2016- morten.soby morten.soby Nov 30, 2016
  • In higher education there is much attention by IBM Watson and other AI/ML solutions attacking the drop out rates. Real life experience remains to be seen, but scaling intervention resources and providing nudges are actively investigated both for empowering students and scaling up teaching resources. - ingrid.melve ingrid.melve Nov 7, 2016 - ingrid.vinje ingrid.vinje Nov 10, 2016
  • Represents both great potential and threaths to education. Potentially it gives possibilities of interaction with intelligents agents, but also as threatening personal information and security.~~~~

(2) What themes are missing from the above description that you think are important?

  • I believe that the teacher should get more attention in the description. The role of the teacher in the education system is undoubtedly important, maybe more important than ever. But the role of the teacher plays is evolving. In the AI landscape, where technology takes the roles of grading and serving as a place for students to find information, the teachers can act like facilitators. By doing this, they can supplement AI lessons, and provide hands-on experience and human interaction for students - ingrid.vinje ingrid.vinje Nov 4, 2016 - lars.persen lars.persen Nov 19, 2016- morten.soby morten.soby Nov 30, 2016
  • I agree with what Ingrid writes above. AI software like Cognii is perfect for flipped learning and takes model that one step further with direct feedback which is not possible for most teachers flipping today. It is also compensatory for students who cannot get academic support by their parents. But there is no guarantee students learn what they are supposed to learn, or that they reach deep understanding which is transferable. That needs to happen through discussions and collaboration with peers and teachers, and with AI software there is more time freed up for that. That is the real gain in my opinion. - Anna.Carlsson Anna.Carlsson Nov 14, 2016
  • AI in search engines and customizing information is radically changing how we interact with information, also changing how we find information, spread information and checking for plagiarism - lars.persen lars.persen Nov 19, 2016
  • Trial-and-error learning (which is a crucial part of problem solving) can make students feel very vulnerable (afraid of failing or perform among peers or in front of their teachers). AI driven experimenting is a less demanding environments for problem solving and repeated trial-and-error as it is judgment-free by nature. - lars.persen lars.persen Nov 19, 2016

(3) What do you see as the potential impact of this technology on teaching, learning, or creative inquiry?

  • Continuous feedback for learners and facilitators: AI can not only help the teacher create customized courses, but it can also provide insight about the success of the course material - ingrid.vinje ingrid.vinje Nov 4, 2016
  • It can make trial and error learning less intimidating: Trial and error is a huge and critical part of the learning process, but the idea of failing is daunting for most students. AI can take the role of a judgement free environment, where the students can experiment and learn with AI tutors, rather than an authority - ingrid.vinje ingrid.vinje Nov 4, 2016
  • It opens up new possibilities for ways of relating to content. Need to develop skills among students and teachers in dealing with AI in different ways.~~~~

(4) Do you have or know of a project working in this area?

  • Cognii's virtual assistant uses powerful Natural Language Processing technology (NLP) to engage students in a virtual tutoring. It provides instant automatic assessment of student's open-response answers, and provides them with qualitative feedback --> formative assessment - ingrid.vinje ingrid.vinje Nov 4, 2016
  • IBM Watson recently partnered with the two biggest LMS vendors in the US: Pearson and Blackboardhttps://t.co/tvjjF8FSy8 http://www.ibm.com/watson/education/ - ingrid.melve ingrid.melve Nov 7, 2016
  • T-FLIP at UiA is using test-driven programming learning, with AI support http://tflip.uia.no/ - ingrid.melve ingrid.melve Nov 7, 2016
  • add your response here

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