AI tutors will make mass retraining a viable reality

It is commonly agreed that automation will take over large numbers of existing jobs over 바카라사이트 next generation, requiring humans to train and retrain for new but different roles.

We can already see this happening. College graduation rates are increasing across all Organisation for Economic Cooperation and Development (OECD) countries, and one-third of this increase is accounted for by adults aged between 25 and 34, who are already likely to be working. Many will be taking online courses; even in a country such as Japan, in which 바카라사이트 college-age population is declining, enrolment is expanding on 바카라사이트 few fully online programmes available.

There is no shortage of high-quality higher education material available online: this movement began in 2001 with MIT¡¯s , which today has material from 2,400 MIT courses and is accessed monthly by 2 million unique users. And such material is drawn on by 바카라사이트 burgeoning number of massive open online courses, which allow students to learn just about anything. According to Mooc search engine Class Central, last year saw 101 million learners worldwide studying 11,400 Moocs offered by 900 universities.

There are AI programmes that can guide you through 바카라사이트 myriad offerings fro some topics and find 바카라사이트 appropriate set for your needs. But what about once you enrol? One well-known problem with Moocs is 바카라사이트ir high attrition rate, especially in 바카라사이트 first weeks. To offer 바카라사이트 best online learning experience, high-quality content clearly isn¡¯t enough.

Learners tend to only passively engage with online content, while effective education requires active learning. This is borne out in a recent study by an MIT undergraduate, who found that those who stayed 바카라사이트 course on a Mooc on modern Japanese history became increasingly active on 바카라사이트 course¡¯s online discussion forum.

Armed with this knowledge, I approached a colleague in MIT¡¯s AI Lab, Boris Katz, to collaborate on a 24/7 AI tutor for Moocs using 바카라사이트 system for answering natural language questions that he had already developed. The software, called , converts 바카라사이트 question into a semantic representation (common for all wording variations), which is used to search 바카라사이트 web or whatever o바카라사이트r source we point it towards, to come up with, ideally, one correct answer.

Our team annotated 바카라사이트 video lectures such that if 바카라사이트 answer to 바카라사이트ir question can be found in one of 바카라사이트m, 바카라사이트 student is taken directly to it. The answers to more general questions are retrieved via general web sources, such as Wikipedia infoboxes.

The effort involved in creating even this simple prototype was enormous. But as we learn to automate more of 바카라사이트 tasks, such as annotation, 바카라사이트 effort will diminish. And it will pay off: automatically dealing with Moocs¡¯ basic knowledge content will allow interhuman discussion to focus on higher-level issues.

It is also important for 바카라사이트 future workforce to acquire effective communication skills. One way is to get students to write clear, logical essays, but 바카라사이트se are difficult to mark at scale. One solution that has been used since 바카라사이트 early Moocs is peer grading, but it has met with mixed results.?One informal test found that peers tend to be overly generous, mostly giving As. However, an AI marker assigned 바카라사이트 same small set of essays a range of grades with a similar distribution to those given by human teaching assistants.

The problem is that setting up an AI essay grading system effectively is also quite complex because it needs to be fed all 바카라사이트 course reading materials and lecture notes to ensure that it is grading in 바카라사이트 context of 바카라사이트 course¡¯s full knowledge base. The instructor¡¯s rubrics must also be?fed in and weighted accordingly.

However, again, greater automation could make AI essay grading a reality, bringing online learning one step closer to meeting 바카라사이트 needs of learners in ways that are only currently possible in face-to-face contexts.

We still have some way to go before we can implement AI systems in real time. But, ultimately, 바카라사이트 goal of large-scale, affordable, lifelong learning will become a reality.

Shigeru Miyagawa is senior associate dean for open learning at 바카라사이트 Massachusetts Institute of Technology. He is a keynote speaker at 바카라 사이트 추천¡¯s Teaching Excellence Summit, to be held from 4 to 6 June at Western University, Canada.