Deep Learning and AI in Education

November 7, 2018, MOQdigital Marketing


AI Deep learning SchoolsThe conversation regarding machine learning has increased in recent years, with Artificial Intelligence (AI) contributing positively to many work environment across the globe. However, AI and deep learning can also add significant value to schools.

 Deep learning is a field of Artificial Intelligence where machines do tasks that are typical of those that require human intelligence. This encompasses machine learning, whereby machines learn and develop skills without direct human involvement through repetitive tasks and ‘tweaking’ to improve the outcome. It is called ‘deep learning’ because the networks required to operate the systems require various layers to enable the learning experience – a depth of ‘thought’ to figure out the problems. 

The technology is evolving quickly and with a bit of controversy and confusion. However, as a whole, Artificial Intelligence and deep learning contribute well to work and educational environments.  This is because we generate a lot of data every day – at a rate that human intelligence simply cannot keep up with. In order to understand the digital evolution of our environment, we must be able to understand all of the information in that environment. AI allows organisations to do that, helping us solve complex problems while also learning and improving regularly.

But, here is the big question – how can deep learning and AI improve a student’s educational experience? There are actually many ways that AI can contribute to schools, including:

  • Virtual Assistants: From Alexa to Siri, to Cortana, and Bixby – virtual assistants are becoming more common, and all utilise deep learning to understand users and their interactions. Students and teachers can use Virtual Assistants to remind themselves of future assessments, keep track of daily tasks, receive weather updates, send messages, receive notifications, and more. All of these features, when used appropriately, can contribute toward Student Success and encourage a digitally driven educational experience.
  • Translations: Deep learning is capable of automatically translating across language, making it a powerful tool for a global environment. Students can use deep learning to access documents in other languages, talk to students on the other side of the world, and broaden their horizons beyond the classroom.
  • Service bots: Service bots provide customer experiences that respond intelligently and helpfully. These can be used by a school to answer frequently asked questions, as well as by students to engage with common materials across campus.Facial recognition: Deep learning is being used
  • for facial recognition, which is useful for security and identification. Some schools may use this feature to track attendance in class, and can also apply it to school-owned devices to increase risk reduction.
  • Personalised Learning: Perhaps the most crucial advancement in deep learning is its ability to create personalised learning experiences. A deep learning algorithm can improve student engagement, tracking tasks that students struggle with and suggesting improvements and alternatives to encourage success. Teachers can use this as a tool to monitor progress, while students can learn it to help discover the most beneficial learning pathway for them.

The more we use Artificial Intelligence and Deep Learning, the better it will become. These technologies are prevalent in our environment, and many of us are using AI tools and services without realising it already. Educators should be aware of the influence digital technology has on their campus – and understand how to use it to their advantage.

If you are interested in finding out more about the future of schooling, and how to make the most out of technology on your campus, contact MOQdigital today.