Category Archives: technology use

Technology Use in Special Education Classrooms (Gail Robinson)

Journalist  Gail Robinson wrote this piece for the Hechinger Report on June 5, 2014

  Eleven-year-old Matthew Votto sits at an iPad, his teacher at his elbow. She holds up a small laminated picture of a $20 bill.

“What money is this?” she asks. Matthew looks at the iPad, touches a square marked “Money Identification” and then presses $20. “20,” the tablet intones, while the teacher, Edwina Rogers, puts another sticker on a pad, bringing Matthew closer to a reward.

They race through more questions. “What day of the week is it?” “What is the weather outside?” “What money is this?” In most cases, Matthew, who has autism, answers verbally, but he is quicker and seems more comfortable on the device.

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A few classrooms away at Eden II, a Staten Island, N.Y., nonprofit that provides programs for people with autism, the going is slower but the approach is the same. Anthony Scandaglia, a teenager who does not really speak, tries to identify simple activities on the iPad. “What do you use to drink?” the teacher asks. He presses a picture of a cup.

“Where do you wash dishes?” asks the teacher, Colleen Kenny. Anthony selects the picture of bed. “No, we wash dishes in a sink,” she says.

Anthony and Matthew are among a growing number of children on the autism spectrum who use electronic devices — in their cases iPads equipped with a software program called Proloquo – for learning. Just a few years ago, they would have used bulky communication devices costing $6,000 to $10,000, if they used any technology at all. Or, they would have communicated by picking out pictures and sticking them to a board. “We spent a lot of time laminating and Velcroing,” recalls Melissa Cantwell, who teaches autistic children in Vancouver, Wash.

Special education students have long used so-called assistive technologies, like audio books for the visually impaired or special transmitters for hearing-impaired students. So today’s trend toward blended learning – the combining of technological devices with more traditional instruction – may seem less jarring to these students than to their general education peers.

“We have so many different programs that will help a child,” says Valeska Gioia, an assistive technology specialist at the South Carolina Department of Education, who focuses on struggling students and students with moderate to profound disabilities of many kinds, including autism. “We give them the tools and they rise to the challenge much of the time.”

Many teachers, parents and administrators say that laptops, tablets and the various apps help engage and motivate special ed students, while also making it easier for teachers to individualize instruction and track progress. Others caution that, as with so much in the world of educational technology, definitive research about results is scant.

“There is little research on how students with disabilities are doing with on-line and blended learning,” says Tracy Gray, managing researcher for education at the American Institutes for Research, a nonprofit that conducts behavioral and social science research. “For whom does this work, under what circumstances and with what support? We can’t answer that for general education, let alone special education.”

But some specialists believe that children with certain kinds of disabilities, such as those on the autism spectrum, respond especially well to technology programs because the programs behave in consistent, predictable ways. And unlike earlier technologies for students with special needs, the tablets and laptops are portable and indistinguishable from devices used by other students.

As developers continue to design a huge array of products – from free apps, such as Bookshare, to expensive robots – hopes are running high. Some programs help students with attention deficit disorders get organized; others track students’ individual education plans, or provide lists of words to prompt struggling writers.

At P. S. 176 in Brooklyn, N.Y., a dozen third graders sit in a classroom. A large interactive white board displays a snake skin, a turtle shell and a honeycomb, all examples of repeating patterns known as tessellation and all housed at the Liberty Science Center in Jersey City, N.J.

A friendly male voice from the screen directs the children to draw a triangle with sides of 6 inches. For some, it is laborious, but he urges them on. “Hopefully I’m not running into lunch period,” the voice says. “I’ll give you two more minutes.”

The lecture is coming to the children live from the science center. Meanwhile, as in a chat room, the teachers at P. S. 176 type in their observations about how the lesson is going, allowing the Liberty instructor to adapt to the students’ pace and mood.

All students at P. S. 176, where more than 10 percent have special needs, participate in the partnership with Liberty, but third grade special education teacher Christina Panichi feels it has particular value for her students. “It’s like going on a trip with hands-on materials,” she says. “The only down side is they can’t touch it.”

Panichi also thinks having the material online helps. “It’s more like a game for them,” she says. “For some reason when technology is involved — especially cartoons — it engages them more.”

In Middletown, N.Y., a virtual number machine on her tablet is absorbing the attention of a little girl in a fourth grade special education classroom at Presidential Park Elementary.

As soft music plays in the background, she selects a number to insert into the “machine” on the screen of her Samsung Chromebook. The screen machine belches out a different number at the other end. After a few rounds, it asks the pupil what the math machine is doing to the number she inserted. In this case it’s adding seven.

This is Jessica Indelicato’s class, one that is the very model of a blended classroom. Several other students are bent over computers, all equipped with various education programs and Google docs, doing different tasks that vary with their progress and abilities. Meanwhile, Indelicato discusses decimals with five students, and a third group sits on the rug combining blocks to create numbers with decimals. In a few minutes, all students will rotate to the next station.

Indelicato sees the technology as key to engaging her students, in math and in reading. “It’s amazing. It targets whatever special skills they need help with,” she s. “They’re motivated. They enjoy it.” Their work on the computers, she says, “gives them reinforcement and confidence” that they carry into discussions about math.

Indelicato, Panichi and other teachers observe that many students simply find a lesson more attractive when technology is involved. Many programs features cartoon figures, instant responses, bright colors, music and encouraging voices.  Those things draw students in.

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Nowhere has the interest in technology been greater than for students on the autism spectrum. Debra Jennings’s son, Brady Bartsch, 9, who has Asperger’s, exhibited learning difficulties in kindergarten, and it seemed clear he was not going to learn to read by sitting down with conventional books. He began working on a Galaxy tablet equipped with Raz-Kids, an interactive program that incorporates a reward system. His mother says he’s made enormous gains. Brady, now in second grade at a Staten Island public school, “almost goes out of his way to be the star,” she says. “He’s shifted from being in the back of the room to wanting to be an example.”

Andy Shih, the vice president for scientific affairs at Autism Speaks, a research and advocacy organization, has seen similar examples.

“A lot of families are telling us how technology, particularly apps and iPads, are contributing to a quality of life for their kids they couldn’t begin to imagine,” he says. This is particularly true for those who cannot speak, which, Shih says, “doesn’t mean that they’re incapable of communication with others or that they don’t have a rich inner life.”

Shih says technology may help autistic students because it is simpler to “read” than people. “What technology does is simplify interaction,” he says. “Interaction with an app is always going to be the same. The expectation is always going to be consistent. Interaction with individuals is far more complex.”

As with general education students, technology is more successful for some children with special needs than for others. Even among autistic students, where it seems to hold the greatest promise, technology is not always successful. Some have no interest in their electronic devices, while for others, they become a kind of obsession.

Providing tablets and laptops to students with disabilities raises many of the same concerns that giving them to general education students does. Cost is clearly one.

Ms. Gioia, the South Carolina technology specialist, is always on the lookout for free tools and says most districts in her state have stayed away from Macs because of their higher cost. Some schools rely on fund-raising to cover some of the costs. While not denying that the devices can be pricy, Karen Cator, director of Digital Promise, a nonprofit focused on innovation in education, advises schools to look at whether they can be offset by some savings; maybe a student with a tablet is less likely to need a full-time, one-on-one aide.

Some experts think one of the greatest pitfalls of technology is that people will expect it to do too much, that they will see what’s new and glittery — what Andrew Hess, the assistive technology specialist for the Mamaroneck, N.Y., schools, calls the “mynah bird syndrome” — and ignore its limitations.

Aaron Lanou, director of professional development at the ASD Nest Support Project at NYU’s Steinhardt school, proposes two questions about technology: “Is this tool going to make something easier and more engaging, or is it just novel?” he says. “And, we need to ask teachers to think about the amount of time kids are actively engaging and using the tool versus the time it takes to learn the tool.”

Gray, of the A.I.R., emphasizes that no technology, no matter how dazzling, can do it alone. “There’s no magic here, whether you’re talking about kids with disabilities or general education classes,” she says. “You need teachers who understand technology, the support to do it well, and professional development.”

 

 

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Kindergarten and Technology (Sharon Davison)

This post comes from kindergarten teacher Sharon Davison. It was posted on June 17, 2014. I have taken  her self-description from “About” on her blog.

My name is Sharon Davison and I have the pleasure of being a Kindergarten teacher in Vermont. I have been teaching for 25 + years.  During my teaching career I have worked with 1st through 4th grade.  I am now embarking on a new journey… Kindergarten!

Kindergarten is like a breath of fresh air everyday.  Young children are curious and great observers.  They naturally look for patterns, similarities and make connections spontaneously. Kindergarten life was designed and created by me with these ideas in mind.  I love the daily energy and excitement that children bring each day.  This genuine interest and love for learning is what I enjoy the most.  Through a young child’s natural ability to seek out understanding I try to capture this idea to help promote the love of learning.

I use a variety of technologies that help to engage, enhance and inspire children to want to pursue their ideas.  I have found that once you are inspired to learn, you learn how to learn through your ideas about what you understand.  Blogging, wikis, voicethreads, podcasting, ePals and SKYPE are just a few of the technologies that I use to promote the love of learning in Kindergarten.

I value collaboration and innovation.  The world is changing so fast and the tools that are available to support, enhance and engage from a teaching view are endless.

 

As I am finishing up last minute things in my classroom today I was thinking about all the different ways my students have been mentors this past year with each other, helping model how to tweet and blog with other classrooms as well as sharing their expertise with adults.

Last spring a teacher approached me and wanted to observe how I use technology with my students and was also interested in how I use the SMARTboard as well. I asked one of my students to provide additional support and more 1:1 time after our meeting.  As I watched and listened to the conversation I was really impressed with not only how comfortable my student was with the SMART technology, but the problem solving that took place during this 1:1 support time with a teacher.  I loved seeing the teacher take notes as she asked questions about not only the operation of the board, but what happens when things go wrong and do not work.  Watching my student navigate through how to solve problems as they arise was really wonderful.

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I am not only proud of all my students, but this experience reminded me of the importance of  self direction, problem solving and critical thinking.  All of these ideas were happening at once and being facilitated by one of my kindergarten students.  As a teacher of young children I have a unique opportunity to model explicitly how synchronous and asynchronous tools can be integrated in a seamless way in regards to learning.  Once my students understood how this tool works, how we use it, then they are able to create and design their ideas as well and make contributions.  Through our contributions and being able to teach and share what we know with others we get inspired, experience positive self esteem and make connections.  This student was empowered because she was able to make a contribution, help another teacher and engage in conversations that challenged her thinking and helped her reflect on what she has learned.  For this amazing teacher, my friend, I think about what great professional development this was for her!

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MOOCs and Online Instruction: Cartoons

Recently, I posted an update on MOOCs after three years in the hype cycle. Afterwards, I scoured the web for cartoons on MOOCs and its kissing cousin, online learning (aka elearning, distance education). Here are some that might make you smile, giggle, or even prompt a chuckle. If not, maybe you can point me to one that does get you to laugh. Until then, enjoy!

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Cartoons on Digital Natives and Immigrants

The interactions between technology-wise children and their parents or other adults is raw material for cartoonists. I am not sure whether “digital natives” is a category that I would use but it is popular. After the cartoons, take a look at the at the article from The Chronicle of Higher Education that strips away the notion of “digital natives.” Enjoy!

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Finally, an article about current college students, “Confronting the Myth of the ‘Digital Native,’ ” gets at the holes in the knowledge bank of older, supposedly more technologically sophisticated, students.

 

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Cursive Writing and Coding: Conflicts over School Goals (Part 1)

Schools as “museums of virtue”* and schools as engines of change have been dominant and conflicting metaphors in the history of school reform. In the mid-19th century, tax-supported public schools pursued Reading, ‘Riting, ‘Rithmetic–the three Rs. Basic literacy–being able to read the Bible, write one’s name, know elementary ciphering, and absorb family and community values–were the primary reasons for creating public schools. In a predominantly rural society, one-room schools sought to preserve the virtues of Protestantism, instill basic literacy, strengthen patriotism, and social custom through the three Rs.

One hundred and fifty years later, public schools are not only expected to instill the traditional three Rs and socialize children into dominant societal values but also expected to be responsible for the “whole child” and change society for the better. There has been an unrelenting expansion of traditional  three Rs to now include a suite of literacies:  scientific , numeracy, technological, and civic. The notion of schools as “museums of virtue” still exists but now competes with the idea that schools were (and are) engines of political, social, and economic changes that could (and should) transform the nation. That conflict can best be seen in the demise of cursive writing and the recent spread of K-12 students learning to code.

Goodbye Cursive

Recent articles (see here and here) have documented the slow death of a traditional subject in the elementary school curriculum for well over a century. Since the 1970s, teaching penmanship, usually in the second or third grades, declined. With 45 states adopting Common Core Standards in which there is no mention of cursive writing has hammered the last nail into the penmanship tradition. Well, not quite.

Efforts to prevent the extinction of an endangered school subject in North Carolina, Indiana and a few other states have led to legislative mandates that penmanship be taught in elementary school. That delaying action, however, will not alter the eventual disappearance of handwriting from the curriculum.

Arguments for dropping cursive handwriting include irrelevance–block printing is now acceptable in replacing cursive, typing is far more efficient than handwriting, standardized tests do not require handwriting–and its difficulty for many students to learn who will not use it much in the rest of their lives. Finally, teaching handwriting takes up valuable time in the second and third grades that could be better spent on acquiring Common Core content and skills and preparing for high-stakes standardized tests.

Arguments for keeping handwriting, while clearly in the minority, stress tradition and heritage for students writing by hand–reading key documents in the history of the nation, notes students themselves take, and an older generation’s continued use of cursive writing.  Moreover, cursive handwriting helps students develop reading, communication , and hand-eye coordination, experts say.

Even with a few states mandating the teaching of handwriting in school, mournful taps will eventually be blown for penmanship skills. Like the teaching of traditiona lgrammar and diagramming sentences or having students take wood and metal shop courses in junior high school some teaching practices and course-taking have disappeared from the crowded classroom and curriculum as times change. Modern substitutes for these extinct subjects and skills, however, eagerly step into the empty slots.

Enter Coding

Even before the current craze for teaching young children how to write code for computer software (see here, here, and here), the appearance of desktop computers in the early 1980s led quickly to teaching students how to use the keyboard and even write code (remember Basic?).

Keyboarding, like typing, was simple to learn. Computer scientists at that time, however, thought that teaching young children how to write code–I am still referring to the 1980s– would unleash children’s creativity and expression while teaching them to think sequentially and critically.  Using constructivist ways of teaching, children would be able to transfer knowledge and skills from learning to program to  other subjects in the curriculum. This innovation would transform traditional teaching and learning. Beliefs in transfer-of-learning through teaching coding and transformation of the traditional school led to the introduction of Logo in U.S. and British public schools.

The brainchild of Seymour Papert (who had worked with Swiss developmental psychologist Jean Piaget) and a team at the Massachusetts Institute of Technology (MIT), Logo had children using programming language to command a robotic “turtle” on a computer screen. The MIT team sought to teach young children how to face and solve problems, learn geometric concepts, and bring creativity back into the classroom. The designers saw Logo as a student-centered, progressive innovation that would transform teaching, learning, and the institution of schooling. As one former Logo teacher recalled:

[Logo] was a departure in terms of the pedagogical style… we have a term that is now fairly widely used in this country, “constructivism”. Logo was exactly that, the notion of people constructing
knowledge based on their experience of the world and playing with what they already know and working with other people, and the notion that the teacher should be a helper rather than a dictator
or instructor in the old-fashioned sense..

Logo and its “turtle” swept across many schools here and abroad.

Yet within a decade, the glamor of young children commanding turtles to move across screens evaporated. Although Logo continues to exist, few schools now use the programming language or sustain the culture of learning that Logo promised.

The underlying assumption driving Logo was that students learning skills of programming and being creative would transfer when those students would tackle other cognitive skills and knowledge across the school curriculum. This is a variation, as one reviewer of Seymour Papert’s books put it, of Logo as Latin.

Briefly, those who staunchly argue for the cognitive benefits of learning Latin (e.g., increases English vocabulary, sharpens thinking, and increases SAT scores) assume that studying the language will transfer to English grammar, literature, public speaking, and produce collateral benefits. The research literature on these supposed benefits stretches back to the early 1920s and has disappointed champions of the language time and again (see Timothy Koschmann, Logo as Latin)

Failure of transfer-of-learning and school after school changing Logo to meets its institutional imperatives led to the demise of Logo in public schools.

I believe that those current advocates for teaching children to code have ignored this history, the power of schools as institutions to adopt and transform innovations and, most important, the limits of transfer-of-learning.

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*”Museums of virtue” come from Willard Waller’s essay on “The School and the Community” in William Goode, et. al., Willard Waller on the Family, Education, and War (University of Chicago Press, 1970), p. 257. David Tyack introduced me to the writings of Willard Waller and referred to schools as museums of virtue in many essays and books.

 

 

 

 

 

 

 

 

 

 

 

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Don’t Blame the Internet: We Can Still Think and Read Critically, We Just Don’t Want to (Daniel Willingham)

Daniel Willingham is a columnist for RealClearEducation and professor of psychology at the University of Virginia. He also writes the Daniel Willingham science and education blog. This post appeared April 16, 2014        

A recent article in the Washington Post sounds a warning klaxon for our ability to read deeply. You’ve probably heard this argument elsewhere, made most forcefully by Nick Carr in the The Shallows: frequent users of the Web (i.e., most of us) are so in the habit of skittering from page to page, scanning for juicy bits of information but not really reading, that they have lost the ability to sit down and read prose from start to finish. I think the suggestion is probably wrong.

The first thing to make clear is that anyone who comments on this issue (including me) is guessing. There are simply not any data that address it directly. We might predict, for example, that scores on standardized reading tests would have dropped in the last 15 years or so (they haven’t) but such data are hardly definitive, as reading comprehension test scores are a product of many factors.

The Post article cites studies comparing reading on paper versus reading on screens, but that won’t address the issue, which concerns the long-term consequences of a particular type of reading. The Post also incorrectly says that paper is superior. Most studies indicate no difference between screens and paper for pleasure reading. For textbook reading, students take longer to read on screens, although comprehension is about the same. (Daniel & Willingham, 2012).

The article, like all the pieces I’ve seen on this topic, is short on data and long on individuals’

impressions. For example, teachers aver that students can no longer read long novels. Well, if we’re swapping stories, I — and most of my classmates — had a hard time with Faulkner and Joyce back in the early ‘80s, when I was an English major.

The truth is, probably, that the brain is simply not adaptable enough for such a radical change. Yes, the brain changes as a consequence of experience, but there are likely limits to this change, a point made by both Steve Pinker and Roger Schank when commenting on this issue. If our ability to deploy attention or to comprehend language processes were to undergo substantial change, the consequences would cascade through the entire cognitive system, and so the brain is probably too conservative for large-scale change.

For example, there’s a lot of overlap in the processes of reading and the processes used for understanding speech – processes that assign syntactic roles to words. Do we see any evidence that people are having a harder time understanding spoken language? Or does the problem lie in the mental processes that build understanding of larger blocks of language, as when we’re comprehending a story? If so, habitual Web users should have a hard time understanding complex narratives not just when they read, but in television and movies. No one should have watched The Sopranos, with its complicated, interweaving plotlines.

A more plausible possibility is that we’re not less capable of reading complex prose, but less willing to put in the work. Our criterion for concluding, “this is boring, this is not paying off,” has been lowered because the Web makes it so easy to find something else to read, watch, or listen to. (I explore the possibility in some detail in my upcoming book, Raising Kids Who Read.) If I’m right, there’s good news and bad news. The good news is that our brains are not being deep-fried by the Web; we can still read deeply and think carefully. The bad news is that we don’t want to.

Reference
Daniel, D. B. & Willingham, D. T. (2012). Electronic textbooks: Why the rush? Science, 335, 1569-1571.

 

 

 

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What’s The Evidence on School Devices and Software Improving Student Learning?

The historical record is rich in evidence that research findings have played a subordinate role in making educational policy. Often, policy choices were (and are) political decisions. There was no research, for example, that found establishing tax-supported public schools in the early 19th century was better than educating youth through private academies. No studies persuaded late-19th century educators to import the kindergarten into public schools. Ditto for bringing computers into schools a century later.

So it is hardly surprising, then, that many others, including myself, have been skeptical of the popular idea that evidence-based policymaking and evidence-based instruction can drive teaching practice. Those doubts have grown larger when one notes what has occurred in clinical medicine with its frequent U-turns in evidence-based “best practices.”

Consider, for example, how new studies have often reversed prior “evidence-based” medical procedures.

*Hormone therapy for post-menopausal women to reduce heart attacks was found to be more harmful than no intervention at all.

*Getting a PSA test to determine whether the prostate gland showed signs of cancer for men over the age of 50 was “best practice” until 2012 when advisory panels of doctors recommended that no one under 55 should be tested and those older  might be tested if they had family histories of prostate cancer.

And then there are new studies that recommend women to have annual mammograms, not at age  50 as recommended for decades, but at age 40. Or research syntheses (sometimes called “meta-analyses”) that showed anti-depressant pills worked no better than placebos.

These large studies done with randomized clinical trials–the current gold standard for producing evidence-based medical practice–have, over time, produced reversals in practice. Such turnarounds, when popularized in the press (although media attention does not mean that practitioners actually change what they do with patients) often diminished faith in medical research leaving most of us–and I include myself–stuck as to which healthy practices we should continue and which we should drop.

Should I, for example, eat butter or margarine to prevent a heart attack? In the 1980s, the answer was: Don’t eat butter, cheese, beef, and similar high-saturated fat products. Yet a recent meta-analysis of those and subsequent studies reached an opposite conclusion.

Figuring out what to do is hard because I, as a researcher, teacher, and person who wants to maintain good health has to sort out what studies say and  how those studies were done from what the media report, and then how all of that applies to me. Should I take a PSA test? Should I switch from margarine to butter?

If research into clinical medicine produces doubt about evidence-based practice, consider the difficulties of educational research–already playing a secondary role in making policy and practice decisions–when findings from long-term studies of innovation conflict with current practices. Look, for example, at computer use to transform teaching and improve student achievement.

Politically smart state and local policymakers believe that buying new tablets loaded with new software, deploying them to K-12 classrooms, and watching how the devices engage both teachers and students is a “best practice.” The theory is that student engagement through the device and software will dramatically alter classroom instruction and lead to improved  achievement. The problem, of course–sure, you already guessed where I was going with this example–is that evidence of this electronic innovation transforming teaching and achievement growth is not only sparse but also unpersuasive even when some studies show a small “effect size.”

Turn now to the work of John Hattie, a Professor at the University of Auckland (NZ), who has synthesized the research on different factors that influence student achievement and measured their impact on learning. For example, over the last two decades, Hattie has examined over 180,000 studies accumulating 200, 000 “effect sizes”  measuring the influence of teaching practices on student learning. All of these studies represent over 50 million students.

He established which factors influenced student learning–the “effect size–by ranking each from 0.1 (hardly any influence) to 1.0 or a full standard deviation–almost a year’s growth in student learning. He found that the “typical” effect size of an innovation was 0.4.

To compare different classroom approaches shaped student learning, Hattie used the “typical” effect size (0.4) to mean that a practice reached the threshold of influence on student learning (p. 5). From his meta-analyses, he then found that class size had a .20 effect (slide 15) while direct instruction had a .59 effect (slide 21). Again and again, he found that teacher feedback had an effect size of .72 (slide 32). Moreover, teacher-directed strategies of increasing student verbalization (.67) and teaching meta-cognition strategies (.67) had substantial effects (slide 32).

What about student use of computers (p. 7)? Hattie included many “effect sizes” of computer use from distance education (.09), multimedia methods (.15), programmed instruction (.24), and computer-assisted instruction (.37). Except for “hypermedia instruction” (.41), all fell below the “typical ” effect size (.40) of innovations improving student learning (slides 14-18). Across all studies of computers, then, Hattie found an overall effect size of .31 (p. 4).

According to Hattie’s meta-analyses, then, introducing computers to students will  fall well below other instructional strategies that teachers can and do use. Will Hattie’s findings convince educational policymakers to focus more on teaching? Not as long as political choices trump research findings.

Even if politics were removed from the decision-making equation, there would still remain the major limitation of  most educational and medical research. Few studies  answer the question: under what conditions and with which students and patients does a treatment work? That question seldom appears in randomized clinical trials. And that is regrettable.

 

 

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Moving Forward without a Backward Glance: MOOCs and Technological Innovations

In a recent commentary on the rock star Sting’s dipping back into his childhood to revitalize his song writing, David Brooks said: “how important it is to ground future vision in historical consciousness.” I agree with Brooks when it comes to the half-life  of technological innovations. The experience of Massive  Open Online Courses (MOOCs) over the past few years is an unexpected example of what Brooks meant.

Much has been written about MOOCs  since they went viral in the past three years (see here, here, here, and here). This vision of creating platforms for college-level courses that would give anyone with an Internet connection access to college courses while reducing ever-escalating costs of higher education has turned some professors into academic entrepreneurs. Here is a two-for-one innovation (increased efficiency and equity) that has married new technologies with global access to higher education. MOOCs spread rapidly among elite institutions (e.g., Harvard, MIT, Stanford) and some second- and third-tier universities. For those familiar with the Gartner hype cycle–which many acolytes of MOOCs somehow either missed or ignored–the first two phases of the cycle were textbook examples:

“Technology Trigger: A potential technology breakthrough kicks things off. Early proof-of-concept stories and media interest trigger significant publicity. Often no usable products exist and commercial viability is unproven.

Peak of Inflated Expectations: Early publicity produces a number of success stories—often accompanied by scores of failures. Some companies take action; many do not.”

Recent articles (see here and here) express disappointment mixed with hope over how MOOCs have fared since the first blush of the academic love affair with the innovation. The evidence thus far is ample: high dropout rates, little knowledge of what students who completed a MOOC actually learned, lack of faculty enthusiasm, and the real sticking point for universities–how to make money from offering MOOCs? No surprise, then, that the birth rate of new MOOCs has plummeted. We are now in the “Trough of Disillusionment” phase of the cycle.

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The high hopes and inspired rhetoric pushing MOOCs have collapsed. Looking back, the creators were pained–one of them, Sebastian Thrun, has departed from the MOOC scene–and I must add, terribly innocent about earlier technological innovations in education.

Of course, I do not know how (or whether) the next phase (“Slope of Enlightenment”) will unfold. No one does. It is a work in progress. But how does all of this current disappointment with MOOCs connect to the point I raised in the first paragraph: “how important it is to ground future vision in historical consciousness?”

Would knowing the checkered history of technological innovations in K-12 schools and higher education–including the Hype Cycle–help high-tech innovators “ground their future vision?” Yes, it would but I doubt if lessons drawn from earlier innovations would help them alter what they will do anyway. While innovators are creative and hopeful about the future they may be, in David Brooks’ words, “necessarily naive.”

And it is that phrase “necessarily naive” that creates the paradox previous high-tech innovators and school reformers have faced and do so now.

The paradox works like this: If I know well what has occurred with past technological innovations seeking to reshape K-12 and higher education, that is, most fail in the first few years, I would not even try. However, if I don’t care about those past efforts  but still forge ahead because I have faith that what I propose will work regardless of the odds, then I can succeed.

The paradox of forging ahead without a backward glance is 100 percent  American.  Consider often described characteristics of being American: highly individualistic, competitive, optimistic, believes in change, especially technological, as an unvarnished good and that anyone with grit who works hard can overcome any obstacle. There are other characteristics associated with being American including beliefs in equality, a strong work ethic, and fairness.

Running like a red thread in the white fabric of being American, however, is the pervasive belief that if you know the past well, it can be a drag–a disincentive, economists would say–for action, invention, and making progress. To avoid looking backward in order to innovate, one has to be “necessarily naive” in the face of past failures in new technologies. Hence, with “naive” entrepreneurs ignoring the past, there has been a swift rise in and decline of MOOCs.

A skeptic might say: Really, Larry, what would you have to know about past technological innovations that might have helped the founders of MOOCs avoid the “trough of disillusionment?”

My answer is:

1. Technological innovations aimed primarily at increasing productivity and efficiency in schooling have largely ignored teacher knowledge and expertise.

2. High-tech innovators seldom ask the questions teachers ask about a new classroom technology.

3. Innovators have cared little about whether their new technology can be integrated into teachers’ routines because their priorities are to transform teaching and learning, increase student productivity, and keep costs low.

A backward glance to lessons drawn from previous technological innovations, then, might help start-up entrepreneurs from being “necessarily naive” about MOOCs or the next new thing for K-12 classrooms. Will that happen? I doubt it.

 

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On Using And Not Using ClassDojo*: Ideological Differences?

In a recent guest post, two British Columbia (Canada) primary grade teachers took opposite sides in discussing their use and non-use of the free behavioral management tool called ClassDojo. As described by the reporter in the above article, ClassDojo is software that “allows teachers to give students points to reinforce positive behaviors, assign negative points for undesirable behaviors and allows teachers to track behavior data over time, sharing with parents and administrators through reports.”

I was struck by what appeared to be strong differences between the two teachers over how (or whether) the high-tech tool should be used. Here I will summarize each teacher’s points, offer other teachers’ first-hand experiences, and then add what I learned based on my reading and an interview I had with a first-grade teacher using ClassDojo. There is an underlying issue over teacher beliefs in how children best learn that weaves in and out of the teachers’ comments, an issue I address at the end of the post.

Karen, the first grade teacher said that the tool was too point-focused and undercut her goals of getting six year-olds to manage their impulses. She admits that she  has not used ClassDojo in her classroom. Her reasons against using the software tool are clearly stated:

1. Class Dojo reinforces external rewards. They may work in the short run but fail over time to get students to regulate their behavior.

2. One-click assessments of children’s behavior miss the complexity of individual students and why they do what they do.

3. It is “humiliating” to display publicly those students who get minus points; shame doesn’t help students learn.

Erin, another primary grade teacher, felt initially that ClassDojo would undermine her belief that students learn best through intrinsic rewards since the tool depended on points, rewards and punishments. Yet she decided to use the software and discovered that ClassDojo reinforced a child’s responsibility for being in class. In the reading and writing workshop she does annually, ClassDojo helped students state and track their expectations in reading and writing. In addition, the software tool collected and displayed information that helped the teaching assistant monitor special needs students’ behavior in the class as well as the overall group’s behavior. In short, Erin used the tool to “go beyond extrinsic rewards.”

Karen and Erin are two examples of teachers using ClassDojo. There are others (see here, here, and here) that use the tool differently and express their support and reservations.

I wanted to learn more about the software tool so I contacted Sam Chaudhary at ClassDojo to find a teacher near where I live to interview. He found Mayrin Bunyagidj, a first-grade teacher at Sacred Heart in Menlo Park (CA). She agreed to an interview.

I spent over an hour with Mayrin, an experienced public elementary and secondary school teacher who has been at Sacred Heart, a private school, for four years. Her classroom has tables sitting four students each with four centers (teacher center for math and language arts, workbook center, project or game center, and computer center with five machines) that students rotate through over the course of a school day. She described how she began using ClassDojo and how she concentrates on the “positives” with her class of 16. Because the school focuses on building character–the “Code of the Heart” (e.g., being caring, ready to work, respectful, and responsible) she showed me on her Smart Board how she uses the software to reinforce “positive” student behaviors daily and connect those behaviors to “Code of the Heart.” With this tool, she no longer “nags students.”

When I asked her whether using rewards (e.g., sitting at the teacher’s desk, winning tickets for a weekly lottery to get bracelets and other school gifts) kills intrinsic motivation, she quickly replied that it has the “opposite effect.”  Children want to improve, she said. They work hard to do better, not for the rewards but because they want to. Mayrin suggested that ClassDojo helped her bridge the ideological differences between using extrinsic and intrinsic rewards in motivating students.

After the interview, I began reading in the psychological literature on motivating children in school. Intrinsic motivation, it turns out, is highest among young children and as they went from grade to grade in school, it faded considerably.  Older secondary school students seldom showed any intrinsic motivation and only worked for whatever point system was in play. That was the pattern that both teachers and psychologists found. But it was not either-or, a few developmental psychologists found. There were “in-between” examples that bridged the boiler-plated extrinsic vs. intrinsic rewards debate that has occurred for decades among educators and experts.

Some developmental psychologists have concluded: “we come to learn to do things not only because they are fun or likely to lead to some immediate payoff but because we have come to believe that we ‘ought’ to do them … to facilitate our own long-term goals (e.g., because it would be ‘good for us’). See: Intrinsic and Extrinsic Motivation PDF

Here is the bridge that Mayrin suggested in her description of using ClassDojo and other teachers who see the age-old debate over extrinsic vs. intrinsic rewards less in black and white and more in how  teachers can use points and rewards to help children internalize what they “ought to do.” These “bridges,” these “in-between” examples, helped me get past the tired arguments pro-and-con for how teachers ought to best motivate students.

I see these “bridges,” be they built with ClassDojo or names on the chalkboard, as primary ways that schools, past and present, socialize children and youth to live in a market-driven democracy where the values of private and public goods and cooperation and competition are highly prized. Some of us may question those “bridges” as working beneficially or for ill but I have yet to find anyone who can ignore this primary function of tax-supported public schools.

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Dojo is originally a Japanese word for space devoted to physical training from wrestling to martial arts–the do arts. Thanks to Janice Cuban for suggesting I define Dojo.

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Avoid The Hype: Online Learning’s Transformational Potential (Michael Horn)

From time to time, posts that I write prompt responses. Especially when writing about K-12 access and use of new high-tech devices, software, and their supposed revolutionary impact. Here is such a response to one I wrote about online learning and its hype. I would like readers to look at my original post and then Michael Horn’s response.
Michael Horn is a co-founder of the Clayton Christensen Institute and serves as the executive director of its education program. He leads a team that educates policymakers and community leaders on the power of disruptive innovation in the K-12 and higher education spheres through its research. His team aims to transform monolithic, factory-model education systems into student-centric designs that educate every student successfully and enable each to realize his or her fullest potential.”  See more at: http://www.christenseninstitute.org/michael-b-horn/#sthash.k7t3TBqv.dpuf

This article appeared in Forbes on June 6, 2013 at: http://www.forbes.com/sites/michaelhorn/2013/06/06/avoid-the-hype-online-learnings-transformational-potential/print/

 In Larry Cuban’s recent piece in the Washington Post, “Why K-12 online learning isn’t really revolutionizing teaching,” he in essence says that our research showing that online learning is a disruptive innovation that has the potential to transform K–12 education into a student-centric learning design that can allow each student to realize his or her fullest potential is unfortunate hype from academic gurus.

What’s unfortunate is Cuban’s misrepresentation of our research to hype his argument.

Cuban refers to our prediction that by 2019 50 percent of all high school courses will be delivered online in some form or fashion. He says that the prediction is erroneous because of the different forms in which online learning will arrive and argues that online learning will not disrupt schools.

What might shock him is that we agree with those two statements.

For the first, that’s why our prediction states that online learning will occur in different forms and fashions, and the bulk of it—at least 90 percent—will be in blended-learning environments. It is interesting that Cuban doesn’t dispute that these different forms might add up to 50 percent of high school courses by 2019.

Indeed, our research at the Clayton Christensen Institute has explored in sharp detail the different forms of online learning in K–12 education, as we have provided a definition of blended learning that is used widely in the field and have classified the different models we see emerging in schools themselves to give educators a language to talk about the different innovations they are pioneering. Perhaps Cuban should draw on some of this research before discussing blended learning.

As to the second point, we have never stated that online learning will disrupt schools; instead, our research shows that online learning will disrupt the traditional classroom environment in secondary schools over the long term. Our latest research adds another subtlety, which is that online learning is unlikely to be disruptive to the traditional classroom in elementary schools, but instead will, for the most part, take place within those traditional classrooms.

Cuban’s other main point in the piece is more complex. He says that some online learning programs are teacher-centric, whereas others are quite student-centric and high quality. He is right. Not all online learning—in blended-learning or distance-learning environments—is good. Some of it is great, and some of it is bad. This is why we’ve said that online learning has the potential—but is not guaranteed—to transform schools into student-centric learning environments.

Cuban has long done some of the best work in explaining why so many hyped learning fads and technologies have failed to transform schooling. His past work is in fact consistent with the theories of disruptive innovation, which show that the model in which a technology is implemented is often more important than the technology itself. This is in part why we relied heavily on his research in Chapter 3 of Disrupting Class. Central to his argument has been that despite all the reforms and fads, once the classroom door shuts, teachers have the domain to ignore all of the reform efforts and fall back on what they know and believe is best.

Once again, we agree. This is why, however, disruptive innovation is so powerful. In education, it can allow us to replace that classroom model with a new one that is far more conducive to personalizing learning for each student. What the theory of disruptive innovation says is that online learning—in its many forms—will disrupt the traditional classroom over the long haul in secondary schools. What disruptive innovation does not say is whether the result will be a student-centric learning design. The theory is largely silent on this normative question.

That’s where the potential enters the equation. Because online learning scales naturally, the good programs about which Cuban writes can theoretically serve millions of students and aid millions of teachers. The question at hand is how do we create the conditions for the good programs, not the mediocre or bad ones, to thrive.

Because we have the chance to reinvent the learning model as we know it—with far fewer constituencies standing in the way of protecting the “status quo” in online learning—there is currently a window in which to put in place policies that create the proper incentives. Paying providers for student outcomes; not regulating and paying for inputs so as to free up educators on the ground to make smart decisions for their students; moving to a competency-based learning system, in which students progress once they have mastered a concept, not when the calendar says it is time to move on; and having appropriate on-demand systems of assessments that allow for a bottoms-up accountability that rewards growth instead of today’s top-down accountability system together appear to be critical pieces.

If online learning continues to grow within the current regulatory environment, however, which focuses on inputs instead of outcomes and has at its core a set of assumptions that takes the factory-model classroom system that has been in place for over 100 years as a given, then we may lose that window.

We education transformers—those who do not want to just reform education but to transform it into a student-centric design—don’t have all the answers for how to do this well. We should admit that. But Cuban and others could help. Rather than simply act as naysayers who say why everything is doomed to fail, they could be part of “the solution.” Asking how we might make this unique opportunity different—or pointing out where we are erring in shaping it in a constructive fashion—would go a long way. The past is instructive, but it should help guide us forward, not hold us back.

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