March 17, 2011 New Technology vs. The Curriculum
Educational Technology, it is widely argued, shouldn’t be about the technology. The cool new bells and whistles are not what matters; it’s the content of the learning that matters.
This belief is what has fueled the technology integration movement: Computers and other gadgets should be used within the context of the curriculum. It is the curriculum that matters; gadgets are the way we can have our students better access and process that curriculum.
But is this dichotomy—technology versus the curriculum—necessarily true? Perhaps it is a false one? For the most part, I have heartily agreed with the notion that computers should be integrated into the curriculum. The gadgets are merely tools and many times I have admired a cool new bell or whistle but recommended against its use in a particular classroom if it’s going to create more work and yield little value.
“But is this dichotomy—technology versus the curriculum—necessarily true?”
And for the most part, schools have gotten rid of “Computer Class” and instead expected teachers to seamlessly weave these skills into their daily classroom routine. Many teachers are fine with this. For whatever reason—be it generational (younger teachers are more comfortable with computers as a part of daily life) or personal tenacity (older teachers who readily master new skills)—many teachers are comfortable using computers in their work and pushing—no, allowing, really—their students to do so as well. But there are some teachers who feel they don’t have the time to teach computer skills, that it’s the content of their curriculum that matters more. This tension builds resentment: resentment between the teacher and the administration, the teacher and the perhaps younger or more technically adept teachers, the teacher and this “new world” that demands this of them.
I do sympathize with these feelings, but at the risk of alienating some of my teacher friends who feel this way, I’m going to go out on a limb and proclaim the following: Computer skills DO matter; they are extremely important. But when proclaiming this, I’m not thinking about “job readiness.” Nor even “college readiness.”
I’m actually thinking of thinking skills. I’m thinking of literacy, logic, and reasoning. Of creativity and risk-taking. Here is one example of what I mean:
If I plunked you on a deserted island and gave you a strange machine, a strange machine you have never seen before, and I told you you can use it send messages to the outside world, would you be able to figure out how it works? If you have a lot of prior experience with message-sending machines, you might be able to transfer some of that knowledge to this new situation. You see the buttons above. This is a NEW machine, but those buttons look familiar. Could that “B” button make your “Rescue Me” message look bold? You try it and indeed, it does. Two important things have happened here: 1) You have transferred your prior knowledge to a new situation; and 2) You have taken a risk and tested that knowledge.
While exploring your new machine, you find a file named “Rescue” with this icon next to it:
I certainly hope you click on it! Hopefully, because you have worked with media players before, you recognize this ubiquitous “Play” symbol. Sure enough, the “Rescue” video plays and offers you valuable tips on smoke signals and how to flash Morse Code with your cell phone screen or compact mirror.
In my years of teaching people of all ages how to do things on a computer, I have noticed that for the most part, folks break down into two categories. Those who tinker and those who don’t. The tinkerers push the buttons, pull down the menus, press, tweak, and play, often with the same joy as a kindergartener with a lump of Play-Dough.
When a young child first picks up the lump of Play-Doh, she doesn’t necessarily know what she’s going to make. As she rolls and twists the pliable mass in her hands, she gains knowledge of its properties and capabilities. Slowly, her imagination fires and the lump becomes something. As she gains more and more experience with Play-Dough, she learns what it can and can’t do and stores that understanding in her imagination’s toolbox. Then, in third grade, she is asked to make a model of a pair of lungs. Because she is familiar with these properties and capabilities, she thinks, “Play-Dough will be perfect for that!” Gaining familiarity with the tool allows her to integrate the tool into how she thinks and creates.
“Gaining familiarity with the tool allows her to integrate the tool into how she thinks and creates.”
The non-tinkerers want to know the steps for how to get something done—how to print that report and print that report only. How to open that email. How to merge that mailing.
This has affected how I teach people computer skills. In a recent “Computers for Beginners” class, I was asked for a step-by-step outline of all the skills I taught that night in the two-hour session. I immediately felt guilty that I hadn’t provided such a crib sheet. But I realized that I really don’t like to do so. I want my students to think. I want the two hours to be experiential, but also thoughtful. I want them to process the hows and whys behind the steps so that when they go home or when they are faced with a new software application, they are comfortable tinkering and thinking. When faced with a new interface of some sort, can they recognize how the menus are organized? Do they know what a palette is? Do they recognize the red x in the top right corner of the window and even though they’ve never used this application before, can they close it by clicking that red x?
Or when they get stuck on a desert island, will they press a “Play” button they have never seen before?
Learning how to use a computer—really learning it—is an exercise in thinking and too many of us relegate “computer skills” to the job-readiness part of the curriculum. Much has been said recently about how in 10, 15 years, our students will be working in careers that haven’t been invented yet. How will they be ready if they don’t practice learning how to experiment, transfer prior knowledge, and implement what’s in their imagination’s toolbox?
“How will they be ready if they don’t practice learning how to experiment, transfer prior knowledge, and implement what’s in their imagination’s toolbox?”
The ability to deeply learn a tool doesn’t end with Play-Doh and computers. All kinds of 21st century situations will demand that people call upon something they know and apply it to a new situation. Indeed, hasn’t all human growth and progress demanded this of us?
As I watched a cable show tonight on Paroxysmal Extreme Pain Disorder, I was struck by the kind of thinking involved in treating this rare condition. There are only 15 known families with PEPD in the world, so therapies have obviously not been extensively researched. They know that the terrifying and painful sysmptoms are caused by irregularities in the sodium channels, so doctors are taking what they do know about sodium channel modulators and testing it on these patients. While treatment protocols for many illnesses have been standardized—and one is considered an excellent doctor if one can select and apply the appropriate protocol–the effective PEPD doctor does not look for a step-by-step crib sheet—the algorithm—for how to treat this disorder. Because there is none.
So, yes, I believe in so-called Technology Integration. But I am frustrated when schools say they don’t have time to teach computer skills, that they are too busy with the “curriculum,” as if the two are diametrically opposed. We should all be in the business of teaching thinking.
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March 17, 2011 Imagination and Compassion
I was thinking the other day about a little game my mother and I used to play while I was growing up. Whenever we were faced with a long wait–at the bank, for instance, or in an airport–we would make up stories about the lives of the strangers around us. The ruder and meaner the stranger, the more epic and tragic the story.
An angry woman in the bank line became a mother waiting on a most-likely non-existent kidney transplant for her only child. The slow-as-molasses cashier at the fast-food joint became a war hero, shrapnel still embedded in his skull, grateful he can work at all.
“The ruder and meaner the stranger, the more epic and tragic the story.”
I had what I thought was a pretty ordinary childhood. I’m just now beginning to realize just how extraordinary my upbringing was. There was nothing in my external environment that you wouldn’t recognize as typical of many suburban towns; my school years were filled with tee-ball, Girl Scouts, the Kiwanis Chicken Barbeque, orchestra concerts, and riding my bike with no helmet.
“Now I see it as teaching me the convergence of imagination and compassion.”
But, for as long as I can remember, my mother taught me to look beneath the surface of things. So my childhood memories of these tangible things–the tee-ball and barbecues–are painted on top of what was the core of my growing-up. What was as the core was this way of seeing, this worldview that taught me to consider not only someone else’s point-of-view, but also, their experiences. I thought for a long time these waiting-in-line stories were intended to keep me entertained. Now I see it as teaching me the convergence of imagination and compassion.
My mother taught me to see into people and read their stories. I wonder when our schools will do the same.
Tags: compassion, empathy
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March 17, 2011 Creativity and Computers
Like many of us, I didn’t end up in the career I thought I would. I became a technology consultant and computer science teacher, but I wanted to be a journalist and actress in middle school. At the end of high school, I wanted to major in women studies and win the Pulitzer Prize for Poetry. I ended up majoring in English, did an M.A. in English, and spent the first 11 years of my career as an English teacher. Peppered in there were freelance gigs as an improv comedy teacher and a graphic designer. How on earth, people ask (and I ask myself) did I end up in computers?
“How on earth did I end up in computers?”
It’s funny to me that my colleagues don”t see me in these roles now. In fact, I dare say that I’ve experienced some mistrust emanating from a few of the people I work with. There is a huge swath of thinkers and dreamers out there who dislike the technologists. We are cold and heartless, they say, concerned only with flashy efficiency, giving our lives over to “the machine.” Isn’t increased machination and automation how we got ourselves into this mess in the first place? And by “this mess,” they usually mean something related to cold-hearted, Ford-ian, Taylor-esque vision of Assembly Line culture, where all variables are simplified, codified, and digesti-fied by some algebraic formula and manipulated at light speed by a tiny silicon chip. Looking for a mortgage? Forget those old paper applications where there was a box in which you could explain, inked in natural language, some blips on your credit record, hoping to twang the sympathy string of your file”s reviewer. It’s all number crunched now. Job hunters are coached on how to make their uploaded text resumes “bot” friendly; a human no longer reads about your qualifications. Instead, a computerized recruiting engine uses optical character recognition to scan your resume for horrifying buzzphrases like “mission critical applications” and “relationship marketing” and “return on investment.” If the variable of you–the variable that is you–somehow falls outside the confines of this algorithm, you’ve missed your chance.
“If the variable of you somehow falls outside the confines of this algorithm, you’ve missed your chance.”
I have to admit, I don”t like how people look at me when I tell them I teach computers. When I say it, I see it… they think I don’t have a heart, don’t have a soul, and don’t have any creativity.
Nothing could be further from the truth.
In truth, I find teaching computers to be closer to my vision for education. With a few tweaks, of course, it could, quite potentially, be the perfect subject to teach.
Let me explain.
Strangely, at a recent training session for a computer summer camp, I met two of my fellow site directors, both graduate students who will be running our company’s camp on various university campuses. Neither of these women (Yes, I did say “women.” There are plenty of us in technology.) is pursuing a PhD in machine learning or statistical language processing or hardware architecture. No, both of these women are studying divinity. Divinity.
Harnessing computers and their power does so much to fuel a sense of wonder. A sense of “what if?” And once that it unleashed in a student, there is no telling where the world will be in ten, twenty, or thirty years.
But there is a key component to the curriculum that is missing. Creativity can be coached, but not necessarily quantified. Researchers have tried; in the 1960s, J.P. Guilford and his team attempted to include creativity as something that could be measured through psychometric testing. But quantification belies creativity.
“Quantification belies creativity.”
There is a remarkable place at one of the top STEM universities in the world. The Media Lab at The Massachusetts Institute of Technology. MIT’s Media Lab is responsible for improving the mobility of the disabled with advancements in prosthetic limb sensors. They are responsible for improving the education of autistic kids by inventing affective robots that teach social skills. The founder, Nicolas Negroponte, is the brain behind One Laptop Per Child, an initiative that brings crank-powered, Internet-ready laptops to kids in the developing world at a cost of roughly $100 each.
MIT”s funding model is unique. They do not draw the funds for their budget through the larger MIT institution. Instead, the Media Lab is funded almost entirely by corporate sponsorships. I know, I know. This may seem like a perfect example of nefarious corporate infiltration into intellectual life. But listen to how the Media Lab gets around that: Corporations are not allowed to fund specific projects; they must fund one of the Media Lab’s themes. This prevents industry from tapping MIT”s brain power for specific inventions; rather, corporate funders must trust that their money will be funneled in a worthy direction. Since the overaching theme of the Media Lab is “inventing a better future,” they have successfully channeled millions from the wealthiest tax demographic of our country–lawsuit-protected, person-less incorporated entities–towards philanthropic goals. Guided at the helm by some very bright minds.
I don’t think I”ll tell anyone anymore that I teach computers. I teach the future. No… let me put that another way… I teach for the future. What the future holds is unknown. But unless we infuse school with a cross-disciplinary curriculum of empathy, the deluge of the information age will get us nowhere.
Tags: creativity, critical thinking
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March 17, 2011 Last Day of School
A friend of mine wrote a piece about how mothers need to support each other. We teachers need to do the same thing. We nurture our students and forget to nurture ourselves and each other. We are all in this together and choose the same path because we share the same passion. Working together should be a joy, not a fearful trek through an obstacle course of misunderestimation, one-up-manship, gossip, and negativity.
We spend so much time focusing on healing our students’ dysfunctions and neuroses that we forget our own… and we become intolerant of it in others. But choosing teaching as a career means we are constantly learning; none of us is ‘finished’ yet. We must hold each other’s professional journey within the same cradle of compassion that catapults our students into the sun. Remember this:
“Everyone has at least one story that will stop your heart.”-Claudia Shear
Tags: compassion, empathy
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March 17, 2011 Inactive Spectators
I sometimes teach outreach computers-for-beginners classes through our schools continuing education program and I recently had this exchange with one of my night students:
Student: “I mean, computers are great, I’m here to learn how to use them. But I don’t think they belong in school.”
Me: “Really? Why not?”
Student: “Well, look around…” (our school is a tablet school) “… I just worry. They’re all just staring at screens. That’s what everyone does nowadays. They just stare at screens. They’re not doing anything.”
It was hard for me to hold back at this point. I beg to differ, I screamed inside my head.
Instead of screaming, however, I politely shared that in my experience as a teacher, my students actually became more engaged and more motivated once they had the right tools in their hands. That having the computers was far better than the days when they sat passively like bumps on a log staring up at the board. Not doing anything.
But I don’t think a lot of people really know what school is like. Or used to be like.
As adults, we are all quite able to groan and complain about a professional training that has us sitting like bumps on a log, even if that training lasts a mere 90 minutes! Consider how some students must feel, their days stretched out to six hours of sit down, listen, sit down, listen…
Josh Bernoff and Charlene Li are market researchers who have compiled significant stats on how the American public is behaving online and codified that behavior in a new report, a summary of which can be found here: Social Technographics: Conversationalists get onto the ladder. In the business world, this data can be used to convince a boss, for instance, that investing marketing dollars into social media is probably a wise bet. That it’s time to get on a board with a comprehensive marketing plan that includes online, participatory venues.
Though their work doesn’t take into account the online behavior of children, (for that, I recommend checking out Danah Boyd’s work as well as a volume she recently co-authored, Hanging Out, Messing Around, Geeking Out: Kids Living and Learning with New Media) I think we, as people interested in education, can take a look at Bernoff and Li’s ‘Ladder’ graphic and use it as a lens for viewing how students behave—and could be behaving—in school.
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March 17, 2011 The Perfect Subject to Teach?
Two years ago, I started teaching computer science at a girls’ school in Baltimore. I had been looking for a technology integration job for a few years, hoping to get out of teaching English. I wanted the change not because I hated teaching. Actually, I love teaching; but I had grown frustrated with the testing movement and how it affected my students’ experience with literature. It no longer was the kind of teaching I wanted to do. My students’ eyes—year after year—gradually glazed over until there was little joy in coming to class anymore. We spent too much time parsing sentences for subjects and predicates and too little time creating objects of passion, art, and relevance. When I took the job, computer science was handed to me and at first I planned for it only as an afterthought. I had no experience with the subject, had never before done any programming and frankly, never understood what it was my father did for a living when he would set one of his programs to “compile” and we would sit down to dinner, him hoping the task would be done by dessert (Dad was a software engineer in the 70s and 80s). I certainly didn’t think my older brother was up to anything interesting, toiling away with his pre-WWW bulletin boards. Boring.
I’ve now finished two and half years of teaching programming to high school girls and to say I’ve discovered a new love is putting it mildly. It’s not that I have a hidden “math” side to me. Hardly. Though I did manage to make it through two years of calculus, my memory of differentiation and integration is scanty. At best, I have heard of the words and faintly recognize the symbols. Rather, I think what I’ve discovered (or remembered?) is that the best kind of teaching is when you see your students excited and absorbed. In my class, we make things. Sometimes we make useful things. I am fortunate to be able to give them assignments that occupy them, assignments that call upon their critical thinking, test their logical skills, and, perhaps most importantly, their creativity.
I was lucky enough to be selected for a workshop at the MIT Media Lab this past summer on “Creative Computing,” run by Mitch Resnick and his doctoral student Karen Brennan. Their group at MIT—Lifelong Kindergarten—is the creator of Scratch, a programming environment intended to give young people an environment for learning programming while expressing their creativity. I have used Scratch extensively in my classes. The current cultural stereotype of programming is that it is a dry, robotic activity that draws upon static knowledge and procedures. While it is possible to teach computer science in this way, with isolated problems that ask students to create loops and arrays with no purpose, more folks are striving to educate the public on how computer science can creatively solve problems. With Scratch, kids can start with animations and simple games. But these tasks can spark the beginnings of computational thinking, a kind of thinking that uses algorithms and abstraction (coming up with general procedures to solve a variety of conceptually similar problems) as children get older. More importantly, Scratch gives students an opportunity to see that they can create using a set of tools.
There is not much difference between coding and writing. We write to solve a problem—to communicate a message. We draw upon the toolset of words and semantics to make our point. Success in this endeavor involves utitlizing the right tools elegantly. Writing programs works the same way. The words and semantics are different, but the challenge is the same. If I had had the opportunity as an English teacher to give students assignments that demanded they be creative and solve problems, my career trajectory might not have gone in the direction it did.
I know there are many subjects with the potential to be “the perfect subject to teach.” With computer science, I can ask my students to think in ways that I wish were prevalent everywhere—in all classrooms and all schools.
Tags: computer science
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March 17, 2011 On Rocks and Writing
Rock climbing is a counter-intuitive activity. As I look up the steep rock face, my instinct is to cling. But when I do, my feet slip out from under me, my fingernails scraping. Push away from the wall and, spider-like, the balls of my feet stick like glue and propel my body upward. There’s too much air between my gut and the granite, I think. I still want to cling. I want to hug the rock.
But the only way to go forward is to push away.
I see the route to take; it seems like the only way to get there is to lunge. But as I climb, my route continually wavers, recontextualized by every small step, every shift in weight.
Writing is a counter-intuitive activity. I imagine the solidity of the finished product; I plan my route. The writing though, like the climb, is wildly unpredictable and linear only in retrospect. At any given moment, a web of possibilities unfolds before me. Every word choice threatens to launch me up another breathtakingly complex path and away from my original, seemingly simple intention. At the end, I find it is not the end, but the point at which I have arrived. I toss my authorial intentions in crumpled words to the floor and question my abdication of them: Would they have been true? Would they have been “right” had I pursued them? Have I failed?
Many students believe that language is exact. Or, at least, it should be exact. Sure, we should strive for precision in our prose. Our efficient communication with one another is dependent on it. But at the same time, this expectation, like many others that demand the “right” answers from students, dampens their own faith in their cognitive development. They lose patience with their own minds. This academic self-intolerance that many students learn in high school, coupled with the emotional one that accompanies adolescence, threatens to undermine the cognitive and affective growth students do achieve. Adulthood and its harbingers, including “adult” writing, are not infallible. I fail in my writing every day. We all do.
But students are frustrated. They look to us for the right answers and the formula for the perfect essay. They rebuke their own minds for failing to automatically process mercurial thought into elegantly carved paragraphs. Sometimes, in their quest for exactness, they capture every intuitive association into convoluted prose. Or they mimic “adult” writing and filter their thoughts through stilted malapropisms. By trying too hard to be good writers, they turn into awful ones. “They’ve somehow been taught or have learned,” M. Elizabeth Sargent Wallace writers in her essay Errors and Expecations; or How Composition Scholarship Changed the Way I Ask for and Respond to Student Writing, “not to trust their natural sentence-making abilities, their ability to think in language.”
Teaching then, is also a counter-intuitive activity. Instead of penalizing error, Wallace argues, we should laud error as an indicator of students’ exploding intelligence. More brilliance detonates inside an adolescent’s brain than he or she knows what to do with. Every cognitive leap is accompanied by a drop in prose clarity and grammatical logic. By punishing these errors, instead of working with them, we discourage cognitive risk-taking and reward “safe” writing. Climbing instructors never teach you to stay on the ground. But they don’t expect you to leap like Superman either. And strangely enough, they encourage falling as preparation for climbing. Do we?
Every day, I see students feeling impossibly distanced from the kinds of “adult” writing modeled for them. It looms like the top of a cliff and they lunge awkwardly through their prose, just like how many of them hasten towards adulthood. Adolescence is a unique cognitive and emotional period; mimicry of maturity is not its sole objective.
With patience and tolerance, we can help students stretch their childhood language in increments to capture these exploding thoughts. With the same patience, we can help them meet adulthood.
When it happens in this way, it is authentic and beautiful, almost athletic in prowess. Like the climber who makes the crux move no one else can ever make, never with the same rhythm, or with the same body.
Tags: education reform, empathy
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March 17, 2011 Paolo Freire Meets Bill Gates
This was the phrase I shot back to a dear colleague during an especially excited brainstorming session regarding our vision for a summer camp for girls that would combine technology and social justice, similar to what Arizona State University is doing with their Compugirls program.
I’m not going to comment at length on the connection between P and B. Instead, I invite you to think about it. My brain is going a mile a minute, casting about for snippets of Pedagogy of the Oppressed and that great Bill Gates biopic starring Anthony Michael Hall, Pirates of Silicon Valley.
It almost sounds like the beginning of a really bad cocktail-party joke: “What do a Brazilian educational activist and an American technology entrepreneur have in common?”
But it’s really not a joke. At least, it doesn’t have to be.
“But it’s really not a joke. At least, it doesn’t have to be.”
B has claimed a lot of space for himself—and his products—in the world. Whether you love PCs or hate ‘em, there is no denying that innovation, combined with the kind of interminable drive Gates in known for, has resulted in some pretty awesome transformations to our world.
P taught people how to claim space for themselves. Space that they deserve and should rightly and doggedly pursue.
B might very well never had made something of himself had he not, somehow, acquired a strong sense of his own self-efficacy.
P taught people self-efficacy, which is the foundation of transformation:
“Education either functions as an instrument which is used to facilitate integration of the younger generation into the logic of the present system and bring about conformity or it becomes the practice of freedom, the means by which men and women deal critically and creatively with reality and discover how to participate in the transformation of their world.”
Tags: education reform
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March 17, 2011 Slowing Down
Oh, this is such an important topic. There are just some things that can’t be rushed. I know, I know… We’re all supposed to be striving for “bigger, better, faster,” but ‘faster’, at least, can’t be accomplished without great sacrifice. I can turn up the heat on my Thanksgiving turkey, but that won’t get it done–at least not done right–more quickly.
Contemplation is like that. The revelations that arrive at the end of a good, unstructured, wander- in-the-park-to-sit -on-a-bench-and-think session of contemplation do not, by their very nature, come at the outset. Julia Cameron tells artists in her books (The Artist’s Way, etc.) to write for 30 minutes every morning. The only substantial thing that comes out of the 30 minutes is what arrives at minute 31; it takes time to warm up the engines.
My school is a little obsessed with cramming stuff into the schedule. Besides classes, sports, and activities, we have so many fundraisers that I don’t pay attention to the causes anymore. That’s not good. The point is for me—and everyone else—to pay attention and we’re not. Contemplative time is like the white space graphic designers talk about all the time. Leave something blank, for goodness’ sake. Empty. Abundance can only be appreciated next to nothingness.
“Abundance can only be appreciated next to nothingness.”
The pace affects the students’ thinking. I’ve found my students are uncomfortable with silence and extremely uncomfortable with having to puzzle something over. They assume the answer is supposed to just pop into their head. I teach a very problem-solving type of class and you do really have to struggle to come up with solutions sometimes. I think next year I will (the refrain of teachers everywhere this month) force them to wallow in silence more often. They will be pigs in mud and learn to love it.
“They will be pigs in mud and learn to love it.”
I’m spending the summer at St. John’s College in Annapolis reading Great Books for two months. Some people in my life are freaked out by this. I’m the technology integration specialist! Why aren’t I going to Socialbook-O-Rama this summer? Don’t I have plans to attend Twitterpolooza?
I CAN’T WAIT to spend two-hour seminars, unplugged, parsing the intricacies of Aristotle and Rousseau. It’s going to be delicious.
Tags: education reform
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March 17, 2011 Stuck Inside the Toggle
One of my students is pursuing an online course through the Illinois Institute of Technology in Data Structures, a second-level of computer science as a follow up to her work in the regular AP class last year. I’ve been following along with the course videos, having never studied Data Structures and—at the risk of sounding like a total and complete geek—I am amazed by how beautiful the material is.
The course deals with mental models for organizing and manipulating information, and then, how to implement those models in Java.
“…at the risk of sounding like a total and complete geek—I am amazed by how beautiful the material is.”
You can understand these mental models, however, without writing any code whatsoever. And understanding these models really makes you think about cognition – how is it that we come up with these models in the first place? Why do they work for us?
For instance, one common model is that of the index. An index is a list of items that has a “key” and a “value.” Think of a dictionary. The bold word to be defined is the “key” and its definition is the “value.” How you organize the index depends on the key. Do you organize it alphabetically? Or if your indices are numbers, chronologically? Making the index fast and easy to use is of primary importance.
Most of us are so used to dictionaries just being dictionaries, but computer scientists have looked at phenomena in the real word, saw how humans prefer to organize this phenomena, and have used these models in their programming.
I was thinking about these mental models the other day while working with a new computer-user. I was showing her a software feature that used a ‘toggle.’ A toggle is a key that when you press it, a certain state of being in the software is activated, and when you press it again, that state of being is deactivated.
It struck me that if you are not familiar with toggles, learning new software that uses this mental model will be a challenge. Some people struggle to hold in their memory that they have pressed the key, activated a state of being, and must press that key again to shut off that state of being.
A simple example is the Caps Lock key. One press turns it on, the next turns it off. While the Caps Lock key is on, everything you type will be in Caps.
Most people I work with are used to this from their years of typing.
However, in some software, whole sequences of activities can take place only within a certain state of being. Often, new computer users forget that they have activated this state of being. They can’t find their way out and want to know why certain menu options aren’t available to them, not realizing they are still stuck inside the toggle.
“However, in some software, whole sequences of activities can take place only within a certain state of being.”
I wanted to append this observation to my post about technology skills and thinking skills because I don’t think people realize that exercising your working memory in this way is highly valuable. And that being able to transfer your familiarity with mental models of all kinds is one key to successful learning.
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