I’ve just finished my placement year of my engineering degree at Saffron Interactive. But my placement journey began not at Saffron, but a while before that. Having been rejected from a few multinational tech organisations (not going to name any names), I felt deflated and so I decided to venture into a different field: elearning.
eLearning was an alien concept – not so much the invention itself, but in the thought process behind it. It felt for me like an after-thought, something that was regurgitated by companies who didn’t have the time or resources to give their workers or learners their full-fledged attention. Instead they could only afford to sit them down and have them interact with a plethora of meaningless multimedia, hoping that the information was actually being transmitted. How wrong I was. Now I feel proud to say I’ve worked in this industry, especially alongside the pioneers of learning technologies.
With my placement year at Saffron coming to an end, I’ve decided to reflect upon my time and articulate seven things that I learnt here as an engineering student.
There’s been a colossal amount of development in AI research. Last week my colleague Jay wrote about the origins of artificial intelligence (AI) and its application to modern day society. Today I want to talk about its future and highlight some of the challenges that currently prevent AI from becoming mainstream in learning technologies.
In elearning there are undoubtedly benefits to using artificial intelligences which correspond and react to human behaviour. Wherever it may not be possible or desirable to incorporate real people (for example, a mentor who guides you through the introduction to a programme or LMS) is where an artificial intelligence can come into play. A system that learns with the student simultaneously and acts as a peer that can match its own capabilities to that of a human creates just the right level of competition.
Remember that AI has been involved with computer games for decades. By 1950, Alan Turing had invented a software programme to play chess named Turbochamp. There was no computer powerful enough to run the programme at the time, so Turing played games himself by simulating the computer – taking half an hour per move. Finally, in 1997, the hardware caught up with the software. IBM built a computer program, Deep Blue, which beat the world chess champion at what he does best – chess. The involvement of AI in computer games gets us thinking about how it could be used as part of a gamification strategy: a simple AI program could compete with learners in an adaptive way in order to produce a more challenging and addictive elearning experience.
Having completed my induction at Saffron as the IT Technician/Developer intern, I had a feeling of accomplishment. It can be overwhelming when multiple systems are thrown at you. However, the implementation model we’ve got in place makes new starters feel at ease. Shortly after completing my induction, I was thrust into developing an internal ERP system that the company will use on a day to day basis.