And Now… Software Will Allow a Single Professor to Deliver, ‘Meaningful Education to Hundreds of Thousands of Students at Once’

And Now… Software Will Allow a Single Professor to Deliver, ‘Meaningful Education to Hundreds of Thousands of Students at Once’

May 23rd, 2012

In ten or twenty years, I wouldn’t be surprised to see the majority of paid work in companies, that is, work that isn’t done by machines, being done by these “certificate� holders. They’ll live in ever expanding slums, autonomously policed by RoboCops and drones. They’ll have fast Internet and there will be Superbowl commercials about how great all of it is.

Top U.S. Colleges to Offer Free Classes Online

Via: Inside Higher Ed:

Without diminishing learning outcomes, automated teaching software can reduce the amount of time professors spend with students and could substantially reduce the cost of instruction, according to new research.

In experiments at six public universities, students assigned randomly to statistics courses that relied heavily on “machine-guided learningâ€� software — with reduced face time with instructors — did just as well, in less time, as their counterparts in traditional, instructor-centric versions of the courses. This largely held true regardless of the race, gender, age, enrollment status and family background of the students.

The study comes at a time when “smart� teaching software is being increasingly included in conversations about redrawing the economics of higher education. Recent investments by high-profile universities in “massively open online courses,� or MOOCs, has elevated the notion that technology has reached a tipping point: with the right design, an online education platform, under the direction of a single professor, might be capable of delivering meaningful education to hundreds of thousands of students at once.

The new research from the nonprofit organization Ithaka was seeking to prove the viability of a less expansive application of “machine-guided learningâ€� than the new MOOCs are attempting — though one that nevertheless could have real implications for the costs of higher education.

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