The School of the Future: Automated Classrooms? (Part 1)

Technological fantasies of the future school have been around for decades. Here’s one from 1910. Note all of the information going into students’ heads comes from textbooks fed into a wood chipper.

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Or another from 1963 cartoon called “The Jetsons.”

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Or this one in 1982 predicting that the future school will be monopolized by the then dominant company Atari.

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And then “Meet The Classroom of the Future” in 2015 at David Boody Intermediate School (IS 228) in New York City.

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Modeled after the School of One, an  innovative program that began in New York City a few years ago, sixth-to-eighth grade students work at their individual skill levels based on data collected from state and  school tests, diagnostic assessments, and past performance. From this data bank, software installed on laptops presents individual lessons tailored for each student to work through on the screen daily. These individual lessons become the day-to-day “playlist” for each student in various subjects. Teachers monitor, adapt, and enrich  lessons for each student.  The blended learning program at IS 228 touts “personalized instruction” for  over 800 students (2012) who apply to its varied magnet programs.

The journalist who described his visit to IS 228 began the article by saying: “The classroom of the future probably won’t be led by a robot with arms and legs, but it may be guided by a digital brain.” Describing a sixth grade math class at David Boody Intermediate School,  the classroom of the future  “may look like this: one room, about the size of a basketball court; more than 100 students, all plugged into a laptop; and 15 teachers and teaching assistants.”

Who’s in charge of the teachers, students, and laptops? “Beneath all of the human buzz,” the journalist said, “something other than humans is running the show: algorithms.”

Whoa! Algorithms? Yes, algorithms, those coded step-step procedures that drive Google searches, determine what is displayed on Facebook pages, and generate pop-up ads on each of our screens.

Back to the description of IS 228:

Algorithms choose which students sit together. Algorithms measure what the children know and how well they know it. They choose what problems the children should work on and provide teachers with the next lessons to teach.

Step-by-step instructions written in code, of course, is nothing new. Over a century ago, machines to generate electricity and make cars were programmed to run on instructions. Robotic machines began manufacturing scores of products in the 1960s.  A half-century later, software contains coded instructions to read X-rays, transfer millions of dollars in stock and bonds, prepare tax returns, guide driver-less cars and pilot jumbo jets across oceans. It is called automation and has added new jobs unheard of before while slicing away old familiar jobs.

In schooling, automation entered classrooms with  teaching machines in the 1950s, Scantron grading of tests in the 1970s, and software in the 1980s and 90s to help teachers take attendance, manage point systems to grade students in their classes, and communicate with students and their parents. In the last decade and a half, new software helps teachers do an incredible range of tasks from behavioral management (ClassDojo) to grading essays (Pearson WriteToLearn) (see  EdSurge for new products that they claim help teachers across K-12 grades).

The work that teachers do daily and what students experience in bricks-and-mortar buildings, however, is far from becoming thoroughly automated. Even with the hyped talk of classroom robots and predictions of schools of the future that go well beyond what occurs at David Boody Intermediate School in New York City, from kindergartens to physical education classes to Advanced Placement course remain far from automated. To fully see what happens in other sectors of society that have become far more, even dramatically, automated one has to look beyond schooling children and youth. In Part 2, I describe the extent of automation in transportation, medicine, professional, and business institutions. Part 3 will return to the question of automating classroom teaching.

 

 

16 Comments

Filed under how teachers teach, technology use

16 responses to “The School of the Future: Automated Classrooms? (Part 1)

  1. The best writer on the topic, for those wishing to go deeper, is Audrey Watters (hackeducation.com).

  2. larrycuban

    The following is a comment from Joe Ventura who is Director of Communications for New Schools. He wanted to clarify differences between School of One and Teach to One Math which is located at IS 228:

    “I saw your blog post this morning about automated classrooms, and I wanted to clarify how Teach to One and School of One relate. Five years ago, as part of a pilot initiative at the New York City Department of Education, co-founders Joel Rose and Chris Rush launched School of One. After School of One’s incubation at the DOE, Joel and Chris established New Classrooms in 2011 to build a new model using the lessons they had learned and bring personalized instruction to more schools and districts across the United States. New Classrooms’ first order of business was to create a new model, Teach to One: Math. The NYCDOE adopted this new model, which currently powers the School of One program at 5 NYC schools, including David A. Broody (I.S. 228) Middle School.
    On a separate note, I also wanted to clarify that in Teach to One, students experience math lessons in multiple “learning modalities”. While some of these use computer software to deliver math instruction, the majority do not. Of the seven different learning modalities, just two involve computer-assisted instruction.”
    Ventura can be reached at:jventura@newclassrooms.org>jventura@newclassrooms.org

  3. Reblogged this on From experience to meaning… and commented:
    This is the first of a 3 part blog series on automation in education, this post discussing the use of algorithms in education. Made me think of the little fuzz that happened when Facebook released it’s “Year in review” app-campaign. The algorithm wasn’t human enough… Check here.

  4. Pingback: OTR Links 01/17/2015 | doug — off the record

  5. Pingback: Larry Cuban’s three-part series on automation in education | Citizen4: A citizen's blog about Champaign Unit 4

  6. kellyeb2015

    The idea of classrooms in which material is modified to fit students skill level makes a lot of sense to me. As a recent high school graduate, I found myself bored in class quite often due to the fact that I wasn’t challenged in my courses. It makes a lot of sense to have students sitting near others with similar abilities. As long as the computers are monitored (kids want to be on social media constantly), it makes a lot of sense to learn at one’s personal skill level/level of knowledge. I kind of wish I had the opportunity to try this method of learning in school.

  7. Pingback: The School of the Future: Automated Classrooms?...

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