MOOC (Massive Open Online Course)
Massive Open Online Course
What is a MOOC?
- Massive open online courses anyone can take
- Democratizing access to knowledge
- Low completion rates are the challenge
What MOOCs really changed is not the quality of courses but the bottleneck in training. It used to be a challenge just to find usable content, but now courses from top universities worldwide are three searches away. So the job of an HRD manager has shifted from “What should we build?” to “How do we pick the right course for our roles out of tens of thousands, and how do we get people to finish it?” The cost of sourcing content has fallen to nearly zero, but the cost of getting people to finish learning hasn’t gone down at all.
A few distinctions are worth making. The MOOCs people usually mean are the xMOOC type, which move university lectures into videos and quizzes. cMOOCs, where learners build knowledge together, are rarely used in Korean corporate settings. Unlike custom content uploaded to an in-house LMS or five-minute microlearning, a MOOC is designed around a pace of 4 to 12 weeks per course. A freemium model is typical: the course is free to take, but grading and a certificate of completion are paid, and multi-month paid programs, such as Coursera’s professional certificates or nanodegrees, already sit at the center of providers’ revenue. Some K-MOOC courses link to academic credit. Completion rates for open public courses have long been reported in the single digits, and that is where MOOC design starts.
The most common mistake in the field is buying accounts and handing them out. You open licenses to 1,000 employees across the company and tell them to 'learn on their own,' and when you finally check the logs, it is common to find that more than half of the accounts never logged in even once. The cost per actual completer then becomes ten times the original estimate, and at the next budget review, training is the first line to be cut. Mistaking a certificate for capability is also risky. It is only proof of passing an auto-graded quiz, not proof that someone can build anything with your company's data. The moment you leave out conditions such as the share of English-language lectures, subtitle quality, and protected work hours, and simply assume that 'it's a good course, so people will take it,' a MOOC stops being a benefit and becomes an unfinished homework list.
Anna ChoExpert in organizational culture, coaching, emotion management, and CS consulting
John KimInstructor John Kim, CEO of Nanum Consulting and author of B2B Marketing DesignIt took off around 2012 with the arrival of Coursera, edX, and others, and was dubbed “the Year of the MOOC,” driving a revolution in online education.
Consider a hypothetical case. Company A, a mid-sized Korean IT services firm (1,180 employees), bought 500 licenses for a global MOOC platform in one batch last year to build data analysis skills. The year-end review showed a 4% completion rate and KRW 90 million (≈ US$67,300) spent. Told it could not spend its budget the same way this year, the company began a six-month redesign.
- The first thing Manager Kim of the HR development team did was pull the access logs for last year's 500 licenses. 342 accounts had not logged in for over three months, and at the report meeting the division head said, 'We just burned KRW 180,000 (≈ US$135) per person.'
- The company dropped the company-wide rollout and selected just 40 people from three business units pursuing data-role transitions. Each applicant wrote a paragraph on which work problem the course would help them solve, and got a department head’s signature.
- Instead of open choice, the curriculum was fixed at five subjects, and two hours every Thursday afternoon were blocked off as protected learning time during working hours. At the team lead meeting, Manager Kim made it clear: 'Do not schedule meetings during this slot.'
- Learners were grouped into study teams of six, each with two working analysts as mentors. A 30-minute online review every Friday cleared up sticking points, and Manager Kim personally phoned the seven people who had fallen behind for two weeks in a row.
- Certificates were dropped from the pass criteria. Instead, three team leads reviewed a final project built on the company's own inventory and fault data, and 'What did you build with company data?' was effectively the only question.
- Six months later, 33 of the 40 people finished, raising the completion rate from 4% to 82%. Four final projects were applied on the job, cutting the weekly inventory report from 8 hours to 2 hours. The following year, the company cut licenses to 120 and saved KRW 31 million (≈ US$23,200).