Cartoons on Schooling and Reform

The batch of cartoons I have collected for this month are about schooling, reform, and counter-reforms in the second decade of the 21st century. I hope you smile, chuckle, and grin. Or maybe, grind your teeth or slap your brow. Whatever your reaction, enjoy!merit+pay

 

162714_600

child+at+window

 

314489.zoom

 

6a00e54f8c25c9883401675ec5f150970b-600wi

 

test3

 

Screen_Shot_2015-04-15_at_14046_AM_590_369

 

edmedioc

 

135715_600

 

wpswi120925-1

 

escolajeffkoterba1

 

 

 

 

 

2 Comments

Filed under Uncategorized

Hype on Steroids: Self-Driving Cars and School Technologies

A full week of mainstream and social media swept across the nation about the death of a Tesla car owner killed in Florida using the self-driving option. With the auto-pilot function turned on, the Tesla driver collided with a tractor-trailer and became the first known fatality in the industry’s surge to produce self-driving cars. Google and Tesla and 30 other companies (e.g., Honda, Ford, GM,Toyota) compete for what is hyped as the “next big thing”; such cars, they claim, will “disrupt” the century-old personal transportation market.

A Morgan Stanley Blue Paper announced in 2013:

Autonomous cars are no longer just the realm of science fiction.They are real and will be on roads sooner than you think. Cars with basic autonomous capability are in showrooms today, semi-autonomous cars are coming in 12-18 months, and completely autonomous cars are
set to be available before the end of the decade

Tesla’s founder, Elon Musk said the self-driving function on the Tesla meant that “[t]he probability of having an accident is 50 per cent lower if you have Autopilot on” …. “Even with our first version, it’s almost twice as good as a person.”

Skeptics have tossed in their two cents (see here and here; for rebutting skeptics, see here) but when it comes to questioning new technologies in U.S. culture, skeptics are alien creatures.

While the hype pumping up self-driving cars can lead to accidents and deaths, no such serious consequences accompany promoters of technological innovations who have promised increased teacher efficiency, improved student achievement, and the end of low-performing schools for the  past half-century.  Need I mention that Google has a “Chief Evangelist for Global Education?”

Nothing surprising about hype (even when  injected with steroids)  in a consumer-driven, highly commercial society committed to practicing democracy. Hype is hype either for self-driving cars or for school technologies. Parsing the hyped language and images becomes important because real-life consequences flow from these words and pictures.

 

Consider these advertisements championing new technologies since the 1950s.

1958royaltypewritergraflexfilmstrip1960ad_image

 

 

c855071c1cb92e5dda27f3e3aba5b6e7

Over-stated claims are  commonplace when it comes to pumping up the benefits of the “next big thing.” Early adopters of new technologies discover the bugs in new hardware and software soon enough.  Glitches, however, seldom dissuade this crowd from peering around the corner for its replacement.

Does hype serve any social and political purpose other than to stimulate consumers to buy the product? I believe it does.

1. Over-the-top statements strengthen the popular belief that change is “good” for individuals and society overall. Not only is change “good” for Americans but in the technology industry and culture of school reform, change morphs into improvement. In Silicon Valley argot, “making the world a better place,” means a new product, a new service, a new app will improve life (a parody of this oft-repeated phrase can be seen here)

Equating change with improvement is a cognitive error. Surely, an improvement implies a change has occurred but because the change has happened, improvement does not necessarily follow. A moment’s thought would quickly squelch equating change with improvement. Stepping on a scale and seeing that you have gained five pounds while on a low-carb diet is clearly a change but not, in your view, an improvement. Think of a divorce in a family. The spouse initiating the divorce sees the split as a change for the better but for the others involved including children, few would see it as an improvement with two homes, living with different parents or weekend visits. Change occurs constantly but improvement is in the mind of the beholder.

Consider whether a new app that has a “smart” button and zipper that alerts you if your fly is down or another app that locates rentable yachts are improvements to one’s life (see here). To those individuals who buy and download these apps they appear as improvements promising a better life but to others, they appear as trivial indulgences that hardly make the “world a better place.”

School reformers who believe that changes lead to improvements in teaching and learning, for example, often refer to gains in student test scores, increases in teacher productivity (i.e., less time to do routine tasks), and other measurable outcomes as evidence of  better schooling. Reformers holding divergent values (e.g., higher civic engagement, student well-being), however, would differ over whether test scores, et. al. are improvements. Quite often, then, the definition of improvement depends upon who does the defining and the values they prize.

2. Hype over new technologies raises questions about the existing institution’s quality.  Consider current health care where millions still lack health insurance, emergency rooms are over-crowded, wait time to see specialists physicians increases, and patients get less and less time when they do see their doctors. Hyping the “next big thing” in medical technology becomes a direct criticism of existing health care. Think of “hospital in a box,” or patient kiosks placed in pharmacies, where ill people go to the kiosk for video conferencing with one or more doctors about what ails them. Such new technologies raises implicit questions about access to adequate health care and to what degree the relationship between doctor and patient is important in improving health.

Or consider the thousands of lives lost on the nation’s roads to accidents and human error in driving. Self-driving cars, once prevalent on the nation’s highways will, promoters claim, dramatically reduce the 32,000 deaths in car accidents while increasing worker productivity since with self-driving cars owners can complete other tasks that heretofore would have not been done. Self-driving cars raises anew questions about the lack of adequate public transportation and a society committed to one-person-per car.

And hype for technological innovations in schools for “personalized” or “adaptive” learning pictures the existing system as factory-like  whole-class, age graded, teacher-dominated instruction that ignores, even neglects individualized lessons, student-centered learning, and reconfigured classrooms.

3. What also occurs as a consequence of exaggerated propaganda for a technology is not only a critique of existing system but a further erosion of public trust in that institution. The two go together: hype for a new technology will solve problem in system; that problem underscores serious limitations in existing institution; public disappointment and faith in system diminishes.

These outcomes of hype are not justifications for its ubiquity. They  help me understand the role that it (and its cousin, “magical thinking”) perform in U.S. society.

 

 

 

 

 

6 Comments

Filed under how teachers teach, school reform policies, technology use

Helping Professions: The Doctor-Patient Relationship (Joel Merenstein)

Relationships are at the core of the helping professions: teaching, medical practice, psychotherapy, nursing, and social work. Yes, expertise is important and skills are essential but the bond between student, patient, client and the professional is crucial for improved health, solving problems, understanding one’s self, and learning. Joel Merenstein, M.D., understands this at the core of his being. Merenstein has written posts for this blogs before. His most recent (see here) is about relationship with patients after he retired in 2010.

This post–taken from his recent co-authored book, The Human Side of Medicine: Three Generations of Family Physicians Share Their Storiesunderscores the centrality of the doctor-patient relationship. Obviously, there are differences among the helping professions but what draws them together is precisely this relationship, a bond that too many health, social policy, and educational policymakers seeking efficiency, increased productivity, and faster, and better outcomes, too often forget or ignore.

Mary Ann and I had a long and intense relationship as patient and doctor. She was bright, resourceful, and determined. She had her own ideas about medical management and did not hesitate to share them with me. We usually disagreed–until she was dying.

Actually, for many years our conflicts centered around her role as mother rather than patient. I believe, and still do, that both the doctors’ and the parents’ responsibility for children should be to aid and encourage independence. Mary Ann believed in total protection and guidance. So many of her phone calls would start, “I know that you think I’m an overprotective mother, but ….”

Real crises were no problem for her. When the second of her four daughters had acute glomerulonephritis [serious inflammation of the kidneys], she did not panic or become hysterical but remained calm. supportive, and caring. However, despite her daughter’s complete recovery, Mary Ann would forever ask, “Shouldn’t we check again to be sure her kidneys are still all right?”

As the girls grew older and less controllable, more of Mary Ann’s questions and concerns focused on her own symptoms. Once again we had our disagreements. She was not a bothersome patient. In fact she would often wait weeks or months with a particular set of symptoms before calling or making an appointment; but when she did call or come in, she would always want more answers than I had, more explanations than I was capable of–and at the same time, she offered more suggestions than I knew how to handle.

She recognized some of her symptoms as depression and would start medication, only to discontinue the visits and the therapy before they could be effective. At other times she would request tests to evaluate her joint and muscle pains and then want to know why they were normal when she was so uncomfortable.

She never criticized me personally for the lack of answers but was often hard on herself. She came in for an urgent visit with severe ear pain. When I found a small furuncle [a boil] in the external canal, she was upset that she had overacted and that the visit was unnecessary.

Whenever I recommended some referral or alternate form of therapy, she would counter, “That’s not the answer,” or “Do you really think that it will work?” When she finally agreed to see a rheumatology consultant, it seemed to be more to prove no one could diagnose her than to really get an answer. She was vindicated when the consultant could find nothing wrong.

Then a markedly elevated sedimentation rate was reported [blood test that shows inflammation in the body]. This prompted an extensive hospital evaluation, but again no answers. Six weeks later she developed chills, fever, and lymph nodes so large that it was hardly necessary to biopsy them to diagnose her lymphoma.

As she began to do battle with the first of two oncology groups, the strengths of our relationship surfaced. In response to the oncologist’s complaints, I noted that she had always been difficult. I told her and her husband that the oncologist should have been more open and informative. I was being truthful in both instances.

The second oncologist provided a little better communication but not much improvement or satisfaction. She failed to show any response to all of the radiation or chemotherapy.

There was much for me to deal with too: the lack of communication by the oncologists and their difficulty with her demands to know everything, a period of blaming her husband and then herself, and the oldest daughter’s guilt over her independence battles with her mother.

The oncologist reported that there was nothing more he could offer. Mary Ann accepted this and prepared herself.

Then came the house calls. We talked about the home visits I made when the girls were younger and we were all just starting out. We reminisced and bantered, and then she nodded toward her husband and said, “You have to make him understand.” So we stopped talking about the past and concentrated on the future.

Other home visits were to meet the visiting nurses and set up a regimen for pain medication and to see how things were going. There were no complaints and no disagreements. She made suggestions regarding adjustment of her medication and how the nurses might help. She was usually right, or at least she seemed to respond. There were no calls outside the regular visits until the end.

It was a cool but bright Sunday morning in March,and her husband called and asked if I could be there by noon. Her blood pressure had dropped,and they were afraid to give her the narcotic injection that was due then.

She was quiet but seemingly comfortable when I arrived. She said the priest had been there and given her the last rites and “everything was set.” I asked one of the girls if perhaps they had last comments to discuss with their mother. She informed me her mother had already taken care of that.

Her daughters, her husband, and her sister were all around in the large master bedroom. We all talked together almost lightheartedly. She seemed to doze,and I said to the family, “Maybe she doesn’t need the shot.” We all laughed when she immediately admonished me,”You said the wrong thing.”

I gave the morphine and reminded her husband that the injections were not killing her but relieving her pain. I told her to put in a good word for me in heaven and said goodbye. At the front door I wanted to hug her husband but was only able to put my arm around his shoulder.

As I drove away I had a sense of loss but yet felt good that it went well. Then I had an uneasy feeling and pulled the car off the road and thought maybe it had gone well because we did things her way this time. She died at 6:00 AM the next day, quietly and peacefully at the age of 48.

2 Comments

Filed under comparing medicine and education

The Failure of U.S. Schools as “Guardians of Democracy”

“If 50 percent of a school district‘s graduates could not read, we‘d fire the superintendent. Yet regularly less than half our graduates vote. In our ―accountability era, no superintendent has been fired for failing in this core mission of our ―’guardian of democracy.’ ”

The  quote comes from a paper written by Michael Johanek in 2011 about the century-old history of civic education in the U.S.. However,  since the early 1980s business-minded state and federal reformers “re-purposed”  K-12 schools into building  a stronger, globally competitive economy through higher academic standards, increased testing, and tougher accountability for student results; the traditional goal of civic education has become a “Second Hand Rose.” That has been the case for the past three decades.

Relegated to applause lines in graduation talks, making students into citizens who are engaged in their communities gets occasionally resuscitated by national commissions, occasional reports and books, and pronouncements from top officials (see here, here, and here), but the sad truth is that until the dominant  rationale for schooling the young shifts from its current economic purpose to its historic role as “guardian of democracy,” only   fleeting references to the civic purpose of schooling will occur.

I do not know whether such a shift will occur in the immediate future. I surely want it to occur.  Trimming back the prevailing economic purpose for tax-supported schools and correcting the current imbalance in preparing children and youth for civic participation is long overdue. Consumerism  has enveloped public schools over the past three decades. The role of schools to teach democratic values and skills and insure that students have opportunities to practice the skills and values in their communities has been shoved aside. Were such a political change to occur,  it will be gradual as more and more parents, taxpayers, and policymakers come to see the harmful imbalance among the multiple aims for schools in a commerce-driven democracy. Were that political shift in purposes to occur, the crucial question of what kind of a citizen does the nation want will re-emerge as it had in earlier generations of school reformers.

That question of what kind of citizen has been around since tax-supported public schools were founded two centuries ago. No one answer has sufficed then or now because there are different ways of viewing a “good” citizen (see here and here). Nor has any answer in the 1920s, 1940s, 1960s–when schools were expected to prepare students to participate and engage in the community–sufficed. Arguments over the kinds of citizenship that should be practiced in and out of school, the threadbare quality of the programs, and frequent conflicts over whether teachers should deal with controversial topics within the school day arose time and again (see here, here and here)

Professors Joel Westheimer and Joe Kahne, knowledgeable about the history of civic education in U.S. and Canadian schools, have been wrestling with these different views and have come up with a conceptual map laying out three types of citizen: personally responsible, participatory, and social justice oriented  (WhatKindOfCitizenAERJ).   Westheimers recent book, What Kind of Citizen, summarizes these different views.

Personally Responsible Citizen

The core assumption for this kind of citizen is that to “solve social problems and improve society, citizens must have good character; they must be honest, responsible, and law-abiding members of the community.” Such a citizen would, for example, donate blood, recycle, and contribute food to a food drive.

Participatory Citizen

The core assumption here is that “to solve problems and improve society, citizens must participate and take leadership positions within established systems and community structures.” Such a citizen would, for example vote, serve on juries, form a street Neighborhood Watch to combat crime,  help organize a food drive, join the town’s recycling committee, and help register voters.

Justice-oriented Citizen

For this kind of a citizen the basic assumption is that “to solve social problems and improve society, citizens must question, debate, and change established systems and structures that reproduce patterns of injustice over time.” This kind of citizen would analyze the current structures and culture that create, say, hunger, homelessness or an epidemic of drug overdoses; the person would write letters, meet with local officials, and join committees seeking out ways of solving these problems.

For decades, these different views of a citizen have been embedded in the curriculum, especially in the 1930s and 1960s, and taught in schools. One kind of citizen, however, is not better than the other. In a democracy such divergent views of  citizenship are normal. Of course, these differences also lead to the larger question of what kind of democratic society do parents, voters, and taxpayers want their schools to work toward. No such debate, unfortunately, exists now.

But some public and private schools over the decades, surviving reform wave after wave, have practiced their version of preparing children and youth for citizenship. Often mixes of the above views of citizenship has emerged over time.

A few examples in 2016 are:

Sudbury Valley School–1968 (Framingham, MA)

Jefferson County Open School–1969 (Colorado)

El Puente–1982 (New York City)

Mission Hill--1997 (Boston, MA)

Bell Gardens High School –pp. 22-23 of report and here (Los Angeles, CA)

Westside Village Magnet School (Bend, Oregon)

That such schools (and these are a sampling) enact different forms of citizenship laid out above by Westheimer and Kahne is a proof point that schools enacting democratic practices exist. In these schools, student exercise responsible behavior in and out of school, participate in and out of school in various civic institutions from restorative justice programs to community service, and analyze causes of socioeconomic problems while working to reduce their effects in their communities. These schools, with much variation among them, embody different answers to the question: What kind of  citizen?

But such schools are scarce in the current market-driven reforms harnessing schools to the economy. Whether a swell of popular opinion will rise and crest into political action to reassert the fundamental civic aim for tax-supported public school, I cannot predict. But I sure hope it will.

 

 

 

 

 

13 Comments

Filed under Reforming schools

Schools That Integrate Technology: Silicon Valley

As complex as it is for an individual teacher to integrate daily use of high-tech devices into routine classroom practices, technology integration at a school level is even more complex. A classroom teacher with 25-35 students can alter the structures of her classroom and create a culture of learning, achievement and mutual respect. Hard as that is, it is do-able. I and many others have profiled teachers who have created such classrooms.

Imagine, however, schools with 30 to 100 classrooms and getting all of those teachers to work together to create school-wide infrastructure and a learning, achieving, and respectful culture–across scores of classrooms that seamlessly integrates computers to achieve the school-site’s goals. A complex task with many moving parts that is fragile yet strong. It does happen but remains uncommon.

I have observed a few schools in Silicon Valley that have integrated new technologies across the entire school requiring teachers to teach lessons using particular hardware and software. These schools vary from one another but tout that they “personalize learning,” blend instruction, and differentiate their lessons to meet differences among students. Invariably, they say they use project-based instruction.  They have created both an infrastructure and culture that subordinates technology to the larger tasks of preparing children and youth to do well academically and socially, graduate, and enter college (and complete it) or enter a career directly.

Considering what I have observed in Silicon Valley, documented nationally in my studies, and retrieved from the research literature on such schools elsewhere in the U.S., what are the common features of such schools?

Here are eight different yet interacting moving parts that I believe has to go into any reform aimed at creating a high-achieving school using technology to prepare children and youth to enter a career or complete college (or both). Note, please, that what I have garnered from direct observation, interviews, and the literature is not a recipe that can be easily cooked and served. Listing features I have  identified is not an invitation to insert some or all of these into a formula for producing such schools near and far. These schools are rooted in their contexts and context matters.

These features are:

*Recruit and train teachers who have the subject matter knowledge and skills to work with students  before, during, and after the school day.

*Recruit and train school site leaders who have the expertise and skills to lead a school and be a pillow and sandpaper simultaneously with teachers, students, and parents.

*Students have access to non-academic subjects that cultivate the mind, heart, and sensibilities.

*Equip all students with the knowledge and skills not only to enter college,  persist through four years and get a bachelor’s degree but also have the wherewithal to enter a career immediately.

*Organize the school day, week, and month that provides students with sufficient time in and out of class to learn the prescribed material and core cognitive skills to master a subject, acquire the essential skills of planning and assessing their progress in each course they take, receive tutorial help when student skill levels are below and above par, and time for students to receive mentoring from teachers they trust.

*Build a culture of safety, learning, respect, and collaboration for both youth and adults.

*Create a decision-making process that is inclusive, self-critical, and strong enough to make further changes in all of the above.

*Do all of this efficiently within available resources.

Note the absence of new technologies in the features that I have listed. Why is that?

Simply because such schools containing these features have administrators and teacher who figure out when to use software to achieve desired outcomes, create an infrastructure to support staff in using new technologies, determine which new technologies efficiently advance students in reaching these goals, and create the conditions for easy, supported use of the hardware and software. Note, then, that computers and their software are subordinate to the overarching goals for students and adults in the school.

Summit schools, a charter network in Northern California, has been working and re-working a design containing these moving parts for nearly 15 years. Over that period, they have amended, deleted, and added program features as administrators and faculty learned what worked and what didn’t. The time span, the stability in staff, their awareness of context and shifting demographics all came into play as Summit leaders and faculty figured out what to do since 2003.

Over the past two months I have visited two of Summit’s seven charter schools in the Bay area and in those two schools have watched teachers across different academic subjects teach 90-minute lessons during what the schools call “project time.” I have also interviewed administrators.  Each school was part of a different district in Silicon Valley. While one of the schools had a separate building in its district well suited to its mission, scheduling, and space for students, the other school was located on a high school campus in another district where both students and teachers worked in a series of portable classrooms. Also each drew from different populations.*

The network of Summit charter schools has been written about often and positively (see here, here, here, and here). In all instances, these teachers I observed had integrated the software they had loaded onto students’ Chromebooks, the playlists of videos and links to articles for units that teachers created, and students’ self-assessment exercises into daily lessons with varying degrees of student engagement. The charter network claims that through their Personalized Learning Plan (also see here) teachers could give each student individual help while students negotiated their ways through academic content and skills. In the two schools, I observed students during 90-minute classes in different academic subjects working on teacher-chosen projects. Students were using their Chromebooks frequently to access PLP voluntarily and at teachers’ direction.

The cliched statement said over and over again by advocates of new technologies in schools: “It is not about technology, it is about learning,” captured what I saw. Overall aims for Summit students to acquire academic content, cognitive skills, “habits of success,” and the know-how allowing students to assess their own progress involved online work  before, during and after lessons. Clearly, the school did not have to use Chromebooks and extensive software to reach the schools’ overall goals and each student’s personal ones. The technology did enable, however, the process of learning to be more efficient, more timely, and  give real-time feedback to students.

The two Summit schools in very different contexts contained these features I listed above. While differences existed between the two schools in context and staffing, both have implemented these features as best they could. Creating and massaging these many features of the Summit Schools is no easy task. It is not done once; it is a process that is constantly monitored, assessed, and altered by site leaders and staff.  Thus, listing the essential features that mark such enterprises is not a blueprint for action; it is an after-the-fact synthesis of what I saw and not easily replicable for those who have dreams of “going to scale.” It is what emerged from such efforts over a long period of time and requires tender, loving care every day. The program is fragile and easily broken by inattention, changes in leadership and staff, and declining resources. May it continue to thrive.

___________________________

*Diane Tavenner, a founding teacher at Summit Prep and director of Summit Schools Network and Chief Academic Officer, Adam Carter–also a founding teacher at Summit Prep–picked the two schools. In both schools, I interviewed the principals (called Executive Directors), and they suggested various teachers I should visit. Because of scheduling difficulties, I could not see all of those recommended to me. So in both schools, I reached out to other teachers, introduced myself and asked them if I could observe their classes.  The nine teachers who permitted me to spend a 90-minute block with them taught English, social studies, science, and math. For readers who wish to see my published observations, see posts for March 13, 2016, March 16, March 21, March 23, March 29, April 1, April 6, April 12, April 18.

 

 

 

 

 

17 Comments

Filed under Reforming schools, school reform policies, technology use

Using Computers To Transform Teaching and Learning: The Flight of a Butterfly Or a Bullet?*

As regular readers of this blog know, I have embarked on another project examining “best cases” of teachers, schools, and districts integrating computers into daily activities.  After four months of classroom observations, interviews with teachers and principals, and much reading I have begun to think of this project as a possible book. Much remains to be done, however, before it becomes one. In the fall, I will visit more classrooms and schools to do observations and interviews. I will do more reading of national surveys, case studies, and rigorous inquiries into what teachers and students do with devices. But the makings of a book are there in my mind.

So here is part of a proposal that I have sent to a publisher to see if they are interested. Subsequent posts will elaborate on other parts of this book proposal.

Overview and Rationale for Proposed Book

For over 30 years, I have examined the adoption and use of computers in schools (Teachers and Machines, 1986; Oversold and Underused, 2001, Inside the Black Box, 2013). I looked at the policy hype and over-promising accompanying new technologies in each decade. The question I asked was: what happens in schools and classrooms after the school board and superintendent adopt a policy of buying and deploying new technologies to improve schooling? This is the central question for any reform-minded policymaker, entrepreneur, parent, and practitioner because if teaching practices fail to change in the desired direction embedded in the policy then the chances of any changes in student performance are diminished considerably. Thus, in pursuing the issue of changes in classroom lessons in books, articles, and my blog, I moved back and forth between adopted policies for using computers, their classroom implementation, and shifts in teaching practices.

I described and analyzed computers in schools and classrooms across the U.S. including the highly touted Silicon Valley in the San Francisco Bay area. I tracked how these advocates and donors were often disappointed in how little school and classroom practice changed, anemic results in student achievement, and uncertainties in getting the right jobs after graduation, given the claims accompanying these devices and software.

There have been, however, occasional bright spots in individual teachers thoroughly integrating laptops and tablets into their practice and moving from teacher- to student-centered classrooms. And there were scattered instances of schools and districts adopting technologies wholesale and slowly altering cultures and structures to improve how teachers teach and students learn. I documented those occasional exemplars but such instances of classroom, school, and district integration were isolated and infrequent.

What slowly became clear to me over the years of studying the use of computers to improve how teachers teach and students learn and attain the overall purposes of public schooling is that policymakers have avoided asking basic questions accompanying any policy intended to reshape classroom practice. I concluded that those questions and their answers are crucial in understanding the role that computers in schools perform when it comes to teaching and learning.

This conclusion is behind my writing this book.

Reform-driven policymakers, entrepreneurs, researchers, practitioners, and parents have sought substantial changes over the past three decades in classrooms, schools, and districts to transform schooling while improving student outcomes. Yet, too often, they either avoided the inevitable steps that need to occur for such changes to materialize in schools or hastily leap-frogged over important ones. Four simple questions capture the essential steps in going from adopted policy to classroom practice.

  1. Did policies aimed at improving student performance get fully, moderately, or partially implemented?
  2. When implemented fully, did they change the content and practice of teaching?
  3. Did changed classroom practices account for what students learned?
  4. Did what students learn meet the intended policy goals?

These questions apply to innovations aimed at improving student academic performance such as creating small high schools and launching charter schools to states and districts adopting Common Core standards, competency-based learning and project-based teaching. Most importantly for this book, these questions pertain to making new technologies from laptops to hand-held devices not only accessible to every student but also expecting teachers to regularly use computers in lessons.

The questions emphasize the critical first step of actually implementing the adopted policy. Policies are not self-implementing. They require resources, technical assistance, staff development, and administrators and teacher to work together. This is especially so for teachers who are gatekeepers determining what enters the classroom door.

So without full or moderate implementation of a policy aimed at improving student performance, there is not much sense in pursuing answers to the other questions. Evidence of putting the policy into classroom practice is essential to determining the degree to which a policy is effective (or ineffective).

Once evidence of a policy’s implementation in schools and classrooms is available then the question of whether teaching practices have changed arises. This question gets at the nexus between teaching and learning that has been taken for granted in U.S. schools since the introduction of tax-supported public education nearly two centuries ago: Change teaching and then student learning will change. This is (and has been) the taken-for-granted belief driving reformers for the past century. Determining the degree to which teaching practices have changed in the desired direction and which have remained stable is essential.

The third question closes this circle of teaching producing learning by getting at what students have actually learned as a consequence of altered teaching practices. In the past half-century, policymakers have adopted measures of desired student outcomes (e.g., test scores, graduation rates, attendance, engagement in lessons). They assume that these measures capture what students have, indeed, learned. If teaching practices have changed in the desired direction, then changes in student outcomes (i.e., learning) can be attributed to those changes in classroom practices.

The final question returns to the immediate and long-term purposes of the adopted policy and asks for an evaluation of its intended and unintended outcomes. Immediate purposes might have concentrated on student test scores and graduation rates. Long-term purposes, the overall goals for tax-supported public schools, refer to job preparation, civic engagement, and producing independent and whole human beings.

These questions establish clear linkages between reform-driven policies and teaching practice. They steer this proposed book.

What if, however, policymakers, researchers, entrepreneurs, and parents looked not only at failed uses of classroom computers but also exemplary instances that have actually altered teaching practices to achieve policy ends? Examining how such “best cases” happened and their stability (or lack of it) might unlock the crucial next step of assessing changes in teaching practices and student outcomes.

_______________________________________________________

*The sub-title is a quote used by Philip Jackson, Life in Classrooms (1968), pp. 166-167.

14 Comments

Filed under how teachers teach, school reform policies, technology use

How To Do Adaptive Learning Right (Keith Devlin and Randy Weiner)

Keith Devlin is (@profkeithdevlin) Co-founder & Chief Scientist at BrainQuake and a mathematician in the Stanford University Graduate School of Education. Randy Weiner (@randybw15) is Co-founder & CEO at BrainQuake, a former teacher, & Co-founder and former Chair of the Board at Urban Montessori Charter School in Oakland, CA.

This opinion piece appeared in EdSurge, June 30, 2016.

As one variant of the saying goes, if your strength is using a hammer, everything can look like a nail. Examples abound in attempts to use new technologies to enhance (if not “transform”, or even “disrupt”) education. Technologists who have built successful systems in other domains—and who frequently view education as just another market in which to apply their expertise—often doom their project to fail at the start, by adopting a narrow and outdated educational model.

Namely, they see education as the provision of facts, techniques, and procedures to be delivered and explained by instruction and then practiced to mastery. Their role, then, is to bring their technological prowess to bear to make this process more efficient. In most cases they can indeed achieve this. But optimizing a flawed model of education is not in the best interests of our students, and from a learning outcomes perspective may make things worse than they already are.

In the case of adaptive learning, education commentator Audrey Watters gave examples of how things can go badly wrong on her blog. “Serendipity and curiosity are such important elements in learning,” she asks. “Why would we engineer those out of our systems and schools?” More recently, Alfie Kohn provided another summary of the numerous reasons to be skeptical of education technology solutions.

Watters’ bleak future will only come to pass if the algorithms continue to be both naïvely developed and naïvely applied, and moreover, in the case of mathematics learning (the area we both work in) applied to the wrong kind of learning tasks. Almost all the personalized math learning software systems we have seen fall into this category. But there is another way—as our work, and a thorough review by a third-party research organization—has shown.

We both work in the edtech industry and have a background in education. One of us is a university mathematician who spent several years on the US Mathematical Sciences Education Board and is now based in Stanford University’s Graduate School of Education, the other an edtech veteran who is a former teacher and who co-founded Urban Montessori Charter School.

We are both very familiar with the common “production line” model of education, and recognize that it not only appeals to many (perhaps most) technologists, but in fact is a system that they themselves did well in. But collectively, the two of us have many years of experience that indicates just how badly that approach works for the vast majority of students.

Last year, with funding from the Department of Education’s Institute for Educational Sciences, our company, BrainQuake, spent six months designing, testing and developing an adaptive engine to supply players of our launch product, Wuzzit Trouble, with challenges matched to their current ability level. We were delighted when classroom studies conducted by WestEd showed that the adaptive engine worked as intended (i.e., kept students in their zone of proximal development), straight out of the gate.

We developed the game based on a number of key insights accumulated over many years of research by mathematics education professionals that should be applicable to all edtech developers—even those who are not building math tools.

Experience Over Knowledge

First, the most effective way to view K-8 education is not in terms of “content” to be covered, acquired, mastered (and regurgitated in an exam) but as an experience. This is particularly (but not exclusively) true for K-8 mathematics learning. Mathematics is primarily something you do, not something you know.

To be sure, there is quite a lot to know in mathematics—there are facts, rules, and established procedures. Imagine the skills expected of a physician. None of us, we are sure, would want to be treated by someone who had read all the medical textbooks and passed the written tests but had no experience diagnosing and treating patients. And indeed, no medical school teaches future physicians solely by instruction, as any doctor who has gone through the mandatory, long, grueling internship can attest.

In the case of math, the inappropriateness of the classical, instruction-practice-testing dominated model of education has been made particularly acute as a result of the significant advances made in the very technology field we are working in. (Advances we wholeheartedly applaud. Our beef is not with technology—we love algorithms, after all—but with applying it poorly.) In today’s world, all of us carry around in our pockets a device that can execute almost any mathematical procedure, much faster and with greater accuracy than any human. Your smartphone, with its access to the cloud (in particular, Wolfram Alpha), can solve pretty well any university mathematics exam question.

What that device cannot do, however, is take a real world mathematical problem and solve it. To do that, you need the human brain. In order to do that, the human brain has to acquire two things, in particular: a rich and powerful set of general metacognitive problem solving skills, and a more specific ability known as mathematical thinking (a component of which is known as number sense, a term that crops up a lot in the K-8 math education world, since the development of number sense is the first key step toward mathematical thinking).

Human Adaptivity

Another key insight that guided the design of our adaptive engine is that the main adaptivity is provided by the user. After all, the human being is the most adaptive cognitive system on the planet! With good product design, it is possible to leverage that adaptivity.

Most “adaptive” math algorithms will monitor a student’s progress to select the next problem algorithmically. But it is important that these puzzles allow for a wide range of of solutions and a spectrum of “right answers,” leaving the student or teacher in full control of how to move forward and what degree of success to accept. (Of course, such an approach is not possible if the digital learning experiences are of the traditional math problem type, where the problem focuses on one particular formula or method and there is a single answer, with “right” or “wrong” the only possible outcomes.)

Indeed, students still need to grasp the basic concepts of arithmetic, understand what the various rules mean, and know when and how the different procedures can be applied. But what they do not need is to be able to execute the various procedures efficiently in a paper-and-pencil fashion on real world data.

Today’s mathematical learning apps can—and should—focus on the valuable 21st century skills of holistic thinking and creative problem solving. The mastery of specific procedures should be skills that a student acquires automatically, “along the way,” in a meaningful context of working on a complex performance task—an outcome every one of us knows works from our own experience as adults.

Breaking the Symbol Barrier

Mastery of symbolic mathematics is a major goal of math education. But as has been shown by a great deal of research stretching back a quarter of a century, the symbolic representation is the most significant reason why most people have difficulty mastering K-8 grade level math—the all-important “basics.” Almost everyone can achieve a 98 percent success rate at K-8 math if it is presented in a natural-seeming fashion (for example, understanding and perhaps calculating stats at a baseball game), but their performance drops to a low 37 percent if presented with the same math problems expressed in textbook symbolic form.

Well-designed technologies that take advantage of some unique affordances of a computer or tablet can help obliterate this historical impediment to K-8 mathematics proficiency. Students should be able to explore problems on their own until they discover—for themselves—the solution. They don’t require instruction, and they don’t need anyone to evaluate their effort. Students should get instant feedback not in the form of “right” or “wrong,” but information about how their hypotheses varied from their actual experience and how they might revise their strategy accordingly.

An analogy we are particularly fond of is with learning to play a piano (or any other musical instrument). You may benefit greatly from a book, a human teacher, or even YouTube videos, but the bulk of the learning comes from sitting down at the keyboard and attempting to play.

What could be a better example of adaptive learning than that? Tune too easy? Try a harder piece. Too difficult? Back off and practice a bit more with easier ones, or break the harder one up into sections and master each one on its own at a slower pace, and then string them all together. The piano is not adapting. Rather, its design as an instrument makes it ideal for the learner to adapt.

A well-designed math tool should be an instrument on which you can learn mathematics, free from the Symbol Barrier. Now imagine we present a student with an orchestra of instruments.

We think this kind of approach is the future of adaptive learning in math and believe we, the edtech community, should choose to go beyond the “low hanging fruit” approaches to adaptive learning that the first movers adopted.

12 Comments

Filed under how teachers teach, school reform policies, technology use