Prof Asha Kanwar: V3a I Emerging Trends in Learning
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Prof Asha Kanwar: V3a I Emerging Trends in Learning



official intelligence and virtual reality what are the implications for tertiary education I'll just give you some examples which could suggest future directions MOOCs and the interaction of hundreds of thousands of students results in large masses of data the rise of big data is vitally important for the functioning of many services such as banking Airlines etc in learning big data helps us to identify struggling learners even within large groups of thousands and to design appropriate remedial measures to help them succeed the graph here is from a faith paper published by a group in Harvard and MIT this group has used data from a mu in 2012 that had over a hundred thousand students and one very interesting finding was that they found a correlation between the number of chapters accessed and the performance so students who had engaged much more substantially with the course actually had better outcomes now big data drives artificial intelligence what is artificial intelligence it's just a broad set of computing technologies a more specific set is machine learning which is a combination of big data and algorithms this is the technology behind self-driving cars which is which are already a reality today deep learning is a particular technique of artificial intelligence and is used to draw complex inferences and is already being used in law finance etc so as you can see big data and cloud computing you know the higher power of computers etc are critical ái based services so let us look at some of the a I based services that we are familiar with we use spam filters in our email as a matter of course we are used to this did we know we are using artificial intelligence maybe not tagging faces face faces on Facebook is again very commonplace that's again driven by artificial intelligence the Google Translate online service is another example of a I use Huber can tell us the s exact time of arrival of travel with great accuracy and sometimes the personalized suggestions in Amazon seem quite magical because they seem so you know gear to our own preferences so these are things which we are used to in daily life AI can aggregate millions of news items to produce credible news fields we've all heard of Reuters the well-known international wire service which has built and deployed tracer an AI service which can detect news faster than an army of news professionals it's also good at detecting and explaining unexpected events well before trained news professionals can and I wonder if tracer can predict the outcome of the elections tomorrow but there's also a flipside you know when technology becomes so powerful in it and in the wrong hands do anything if used unethically AI can also be harnessed to generate fake news there is well-meaning popular software such as Adobe vopo it can mimic a person's voice but if it was in the wrong hands it can make that voice utter words that were never said according to a BBC report a writer in Forbes magazine recounts how engineers from pin-drop an AI company followed his voice from YouTube fabricated some comments which he had never made and it sounded exactly like his own voice so please note the point that's being made here is that we are living in such a kind of you know futuristic world that ethics is becoming more important than ever before AI is beginning to have a presence in education an IBM report cites one example of the intelligent tutoring system these systems use AI techniques to simulate one-on-one human tutoring they are able to provide timely feedback all without the presence of a human teacher AI in particular machine learning helps to analyze and summarize the discussions in online courses so that a human teacher can guide the students towards more fruitful collaboration once they peek out you know these students are talking about this and this group is talking about this the machine will tell the tutor how to direct those different groups with similar interests together so AI enable systems and group students with similar interests and at a similar cognitive level now let me give you a popular example of this that you know about is a virtual teaching assistant at the Georgia Institute of Technology in the you

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