Is ultralearning the new method of learning? Can anyone do it? How effective is it? What is it, exactly?
The author, Scott Young, begins the book with a bang. He essentially completed the equivalent of an MIT engineering degree in one year, using ultralearning strategy. The book also describes his other experiences, such as learning four languages, in a year, as well as numerous stories of other friends and acquaintances that have learned in this unique manner. This includes Roger Craig of Jeopardy! fame and Eric Barone, who spent five years of his life creating a computer game called Stardew Valley entirely on his own. It sold over 10 million copies and he is now a multimillionaire. Of course, not all ultralearners achieve fame and fortune, but many achieve their goals of learning something new in an accelerated and intensive way.
So what is ultralearning? It is an rigorous self-directed strategy of learning. Right away this should tell you that it is not for the faint of heart. But it may be something that will continue to gain momentum for several reasons. First, Tyler Cowen, in his Average is over book, talks about "skill polarization," where only the top and bottom of the income spectrum is remaining, so more specialized, advanced skills are needed to succeed in this society. (Unless you want to be in the bottom layer.) As post-secondary education costs skyrocket, unless you need a required professional degree, this learning strategy is a cheap alternative. Finally, technology and endless resources allow for self-directed learning to soar to new heights.
Young discusses nine principles to ultralearning:
Principal #1: Metalearning; First Draw a Map
First, answer the 3 W(H)s. Why? Is your project instrumental (extrinsic) or intrinsic? For instrumental reasons, you'll need to do extra research. Find an expert and get advice. What? Get a piece of paper and write down Concepts, Facts, Procedures. How? Use benchmarking to compare what you want to learn with existing programs. Then you can Emphasize/Exclude elements that you need to achieve your goal. Spend about 5-10% of your time planning (this is essential).
Principal #2: Focus: Sharpen Your Knife
Problem #1: Failing to get started (procrastinating)
First find out why you're procrastinating. The main solution is to start! Five minutes, and later the Pomodoro Technique of 25 minutes, then 5 minute break.
Problem #2: Failing to sustain focus (Getting Distracted)
Mihaly Csikszentmihalyi pioneered the flow concept, that sweet spot of an activity--not too hard or too easy. K. Anders Ericsson, the psychologist behind deliberate practice, said flow did not occur during deliberate practice. Young feels that during ultralearning, you may or may not be in the flow state, but that is not of importance. Chunks of about 50 minutes are ideal for learning, if possible. Try to eliminate the distractions of the environment, task and mind.
Problem #3: Failing to create the right kind of focus
High arousal (energy, alertness) is good for simple tasks or intense concentration activities. These can be done in a slightly noiser setting, such as a coffee shop. Complex tasks (solving math problems or writing essays) require a more relaxed kind of focus. A quiet room is a good place to focus.
Principal #3: Directness: Go Straight Ahead
Directness is tying the learning as closely to the actual situation or context you want to use it in. He gave the example of a recent architectural graduate, Vatsal Jaiswal, whose program focused mostly on design and theory. After submitting hundreds of resumes with zero interest, Jaiswal decided to learn about two things: Revit (a current design software) and knowledge of architectural drawings. He then designed his own building using his newfound knowledge and skills. After applying to just two firms with his new portfolio, he was offered both jobs.
Educational psychology deals with the idea of transfer, and its failings. Psychologist Robert Haskell says that the research has shown that transfer of learning has been minimal at best. For example, college students who have taken a high school psychology course do no better than those who haven't take a course.
Here are some possible solutions:
Tactic #1: Project-based Learning
At the end of your project, you will have something to show for it. As well, a number of other subskills will be gained during the process.
Tactic #2: Immersive Learning
When possible, try to seek the environment or situation of the desired goal. If you are learning a language, then speak the language only in that location or with native speakers.
Tactic #3: The Flight Simulator Method
Of course, when the actual experience is impossible, then a simulation is fine. So Skype tutoring is better than flash cards.
Tactic #4: The Overkill Approach
Try to increase your directness by increasing your challenge. That means more risk-taking and putting yourself in uncomfortable situations. But if you can overcome your fears and anxieties you will achieve more much that much quicker.
Principal #4: Drill: Attack Your Weakest Point
Young highlights the rate-determining step, the "bottleneck" in the learning process. For example, in language learning, if you can increase your vocabulary dramatically, then your ability to speak with your existing language skills expands greatly. This is where drills come in. You can simplify a skill enough to focus your cognitive resources in one area.
Direct-Then-Drill Approach: First practice the skill directly; for example, learning programming by writing software. Analyze the skill and try to isolate components to improve on and create drills. Finally, go back to direct practice and integrate what you've learned.
Tactics: First, you need to figure out when and what to drill--what would be of most benefit. The key is to experiment, make a hypothesis, do some drills, then get feedback. Second, design the drill to produce improvement and transfer. Finally, remember drills can be hard, so be prepared to work hard and not quit.
Principal #5: Retrieval: Test to Learn
Psychologists Jeffrey Karpicke and Janell Blunt conducted a study in reading, examining students' choice of learning strategy: 1) review the text once; 2) review it repeatedly; 3) free recall; 4) concept mapping. The clear winner? Free recall (retrieving information without looking at the text), remembering almost 50% more than the other groups. Surprisingly, even when the final test was to produce a concept map, the free recall group performed better.
So if free recall is the best method of retrieval, why isn't it used more? That's because of our judgements of learning (JOLs). If we feel the learning task is easy, we believe we've learned it; on the other hand, the harder it feels, the less we think we know it.
Psychologist R.A. Bjork talks about the concept of desirable difficulty. Free recall tests tend to result in better retention than cued recall tests (multiple-choice). Giving a test immediately after learning is less effective than delaying a bit. However, too long of a wait results in information being completely forgotten. Also, testing more difficult material before you are "ready" is more efficient. Even giving the final exam (a pre-test) has benefits, known as the forward-testing effect. The analogy is that of laying down a road leading to a building that has yet to be built. The mechanism could also be of attention. Your mind uses its attentional resources to spot information you learn later on.
Methods of Recall:
Principal #6: Feedback: Don't Dodge the Punches
Why does famous comedian Chris Rock perform at the modest Comedy Cellar in Greenwich Village, NY, from time to time? He wants honest, sometimes brutal feedback--an essential component of ultralearning.
Feedback can be a tricky thing. In a large meta-analysis, Avraham Kluger and Angelo DeNisi found that although the overall effect of feedback was positive, over 38% was negative.
There are three types of feedback: 1) outcome: an aggregate or broad-scale form, like a letter grade; 2) informational: this explains what's going wrong but not how to fix it, like an error message in coding; 3) corrective: this is the best form and it comes from a coach, mentor or teacher who can pinpoint mistakes and correct them.
How quick should feedback be? According to James A. Kulik and Chen-Lin C. Kulik, in applied studies, immediate feedback in usually more effective than delay. Yet in lab studies, delaying the correct response was more effective.
Tactics to improve feedback:
Principal #7: Retention: Don't Fill a Leaky Bucket
Psychologist Hermann Ebbinghaus discovered the forgetting curve, an exponential decay in knowledge especially right after learning. The reasons why: 1) time: memories decay with time; 2) interference: overwriting old with new memories; 3) forgotten cues: memories are inaccessible.
Memory mechanism #1: Spacing: Find a perfect gap between learning sessions. Spaced-repetition systems (SRS) are tools to help. Both tech and paper tools work.
Memory mechanism #2: Proceduralization: declarative skills become procedural often, so emphasize a core set of reusable information that have longer lasting effects
Memory mechanism #3: Overlearning: if you study and learn beyond the adequate, you can remember it for a longer period of time. Personally, that's probably why I still remember by multiplication facts instantly even after 4 decades or more.
Memory mechanism #5: Mnemonics: overall, they are rigid and specific but powerful tools that work as intermediaries to memory, but not a strong foundation to base learning efforts on
Principal #8: Intuition: Dig Deep Before Building Up
Rule 1: Don't Give up on Hard Problems Easily: Push yourself even beyond frustration. Even if you fail, you'll more likely remember how to get to the solution when you find it.
Rule 2: Prove things to understand them: Rebecca Lawson talks about the "illusion of explanatory depth." People think they know more than they do. For example, most couldn't draw a bicycle properly or explain how it worked.
Rule 3: Always start with a concrete example: We go from concrete to abstract. Also, how we think about something is more important than how much time we spend. This is known as the levels-of -processing effect.
Rule 4: Don't fool yourself: The Dunning-Druger effect is when a person believes he or she knows more than experts.
Principal #9: Experimentation: Explore outside your comfort zone
Vincent van Gogh was not a child prodigy and suddenly start painting sunflowers and stars. In fact, he started late, 26, and tried countless styles, resources and techniques. The lesson learned is that experimentation is critical for ultralearning. Scott considers experimentation as an extension of the growth mindset, a concept from psychologist Carol Dweck. Experimentation creates a plan to reach those potential opportunities.
All in all, I think ultralearning has its place, particularly in non-school settings, with motivated and self-directed learners, although there are definitely a number of strategies and techniques that could be applied in any educational setting. The only way to know for certain how effective it is for you, of course, is to try it.
Source: Ultralearning, Scott H. Young, 2019
Willingham's cognitive principle is children differ in intelligence, but the good news is intelligence can be improved through persistent hard work. This has been the Asian educational view for a long time, although with Dr. Dweck's growth mindset ideas, Western thought is changing in that direction. Intelligence is essentially how "people reason well and catch on to new ideas quickly." The current view of intelligence is that there is a general intelligence (g), which contributes to verbal and mathematical intelligence. Therefore, verbal scores are related to math scores, although individual verbal scores relate closer to each other. The "g" is not clearly known, but could be related to the speed or capacity of working memory.
What Makes People Intelligent?
It's the classic nature vs. nature debate; is it genetics or the environment that makes people intelligent? Through many twin studies, genes are responsible for about 50 percent of our smartness. What's interesting is that is starts off young, about 20 percent, then increases to about 60 percent in later life. The bottom line: genetic effects can make people seek out or select different environments. For example, imagine you start off life with a little better memory, more persistence, or simply more curiosity. Your parents pick up on this trait subtly, and begin to use a larger vocabulary or discuss deeper-thinking ideas. This leads you to spend more time with "smarter" kids, and grades become a natural focus. On the other hand, genetically you may not have the physical abilities, which leads you to avoid many sports and instead pick up a book and read instead.
Though genetics plays a large role, intelligence is malleable and can be improved.
Implications for the Classroom
Praise Effort, Not Ability
You want kids to understand they are in control of their intelligence. Praise effort, persistence, and taking responsibility for the work. Be careful of insincere praise, as kids are not easily fooled.
Hard Work Pays Off
Remind students that it takes hard work to be smart, just like it takes hard work and practice to be a successful athlete; natural talent can only take you so far.
Failure leads to Learning
Again, the most successful people (think entrepreneurs, inventors, athletes) take risks and fail in order to succeed. Michael Jordan talks about all his mistakes and failures on the court, which ultimately led to his greatest successes. Remind students that failure is not necessarily embarrassing or negative; it's an opportunity to learn something new.
Study Skills are Necessary
Help struggling students with techniques and methods of effective studying, memorizing, and organizing their time. They need to be self-disciplined and resourceful, as well.
Catching Up is the Goal
In order to catch up with the brighter students, they will need to work even harder than them. There is no easy solution or magic pill. They may need to revamp their entire schedule and drop activities that do not contribute to their educational goals.
Show Confidence in Them
As a teacher, set high standards and expect students to meet them. If they do an substandard job, simply state what they have done and give them feedback for improvement. Do not overpraise them for a mediocre job.
Source: Willingham, Daniel T., Why Don’t Students Like School? (2009)
Teachers nowadays are being asked to differentiate learning by meeting students’ individual learning styles, differing cognitive abilities and multiple intelligences. Is this possible? And how effective is it? Willingham, a cognitive scientist, turns that notion on its head. He states that children are more alike than different in terms of how they think and learn.
COGNITIVE STYLES VS. ABILITIES
First, let’s differentiate between cognitive styles and cognitive abilities. Cognitive ability is the capacity for success in certain types of thought; for example, mathematical concepts. Abilities are how we deal with content and how well we think. Cognitive styles are biases or tendencies to think in a certain way, such as thinking sequentially or holistically. Styles are how we prefer to think and learn. Of course, more ability is better than less, but one style is not better than another.
COGNITIVE STYLES (a sample list)
Three characteristics of cognitive styles: 1) stable within an individual during different situations and times; 2) consequential: has implications for future actions; 3) not an ability measure
There are people who have very good visual or auditory memories. However, Willingham explains why teaching different modalities to learners with a prefered style is ineffective. He gives the example of a visual learner and an auditory learner learning vocabulary words. In theory, showing the words with pictures to the visual learner while playing a tape with words for the auditory learner should be most helpful. Yet studies show this is not the case. Why not? Because it is not the auditory or visual information that is being tested--it is the meaning of the words. Generally in schools, students need to remember what things mean, not what they look or sound like. So, if this theory is wrong, why do 90% of teachers (and students) believe it to be true? Willingham chalks it up to several reasons, the first being accepted wisdom: it must be right because everyone believes it. Another reason is because a similar fact is true: kids are different in their visual and auditory memories. Learners may have good visual and auditory memories, but this not being a “visual or auditory learner.” Lastly, the psychological phenomenon known as confirmation bias comes into play here. Once people believe something to be true, then all future ambiguous events are seen through that viewpoint. For example, people believe crazier things happen during a full moon, and, in fact, crime and births increase during a full moon. However, when there’s an uptick in crime and babies on non-full moon nights, no one bats an eyelash. In conclusion, Willingham says that all cognitive styles, not just visual-auditory-kinesthetic, suffer from the same issues; at best, the evidence is mixed.
ABILITIES AND MULTIPLE INTELLIGENCES
Over the years, studies and experiments have shown that some kids are good at math, some are musical, others athletic, but not necessarily the same kids. This must indicate there are different mental processes at work here. In the mid-1980s, Howard Gardner, a Harvard professor, proposed his theory of multiple intelligences: linguistic, logical-mathematical, bodily-kinesthetic, interpersonal, intrapersonal, musical, naturalist, and spatial. At the time, many psychologists felt contention to Gardner’s theory. However, educators were (and are) interested in the three claims of his theory: 1) they are intelligences, not abilities or talents; 2) all eight intelligences should be taught in school; 3) many or all of these intelligences should be used to teach, matching the different intelligences of students. Gardner made the first claim, while the other two were made by others, although Gardner disagrees with them. Gardner argues that some abilities, in particular logical-mathematical and linguistic, have greater status in education than say, musical ability. He questioned why one was called “intelligence” while the other was a “talent.” Claim 2 is made on the basis of equity and fairness, that all intelligences should be acknowledged and celebrated. However, Gardner feels that curricular decisions should be made by the values of community, and his theory should only be a guide. Cognitive scientists believe Gardner has simply relabelled talents as intelligences, rather than “discovering” musical or spatial intelligence. The third claim is to use multiple intelligence modalities to introduce new knowledge. For example, when learning how to use commas, students could write a song about commas (musical), search the woods for things that look like commas (naturalist), and create sentences with their bodies (bodily-kinesthetic). So, in theory, students would come to an understanding of commas easier if taught with a particular intelligence in mind. Gardner wholeheartedly disagrees with this notion. The different abilities are not interchangeable; mathematical concepts need to be learned mathematically, and skill in music will not help. Writing a poem about your bat swing will not make you a better batter. These abilities are separate enough that one strong skill can’t compensate for a weaker one.
CONTENT VS. STUDENTS
Since catering to cognitive styles have been shown to be essentially ineffective, think in terms of curricular content. For example, in socials, a country’s geography should be seen, an anthem should be heard, and a traditional meal should be made and eaten.
CHANGE PROMOTES ATTENTION
Variety is the spice of life and the surge in energy during lessons. Switch between talking and listening to something visual; go from deductive thinking to free associative thinking; quick brainstorming could lead into thoughtful, reflective responses. Give all students practice in these different mental processes.
VALUE IN EVERY CHILD
Every child is unique and valuable, regardless of their intelligence. Trying to be equitable and egalitarian and have everyone possess “multiple intelligences” may be misleading. Also, determining who is “smart” depends on which intelligences you consider and at what level; is it top 10 percent or top 50 percent? In reality, there will be many students who are not especially gifted in any of the intelligences. Telling a child they are smart or have a skill in an area they don’t rarely works. In fact, telling a child they are smart actually backfires in reality.
Source: Willingham, Daniel T., Why Don’t Students Like School? (2009)
Most of us have heard the analogy that our brain is a thinking machine. But, according to Willingham, our brains are not really designed for thinking, because it is slow and unreliable, and requires much effort. In fact, your brain uses most of its processing power to see things and to move around physically. Nonetheless, the good news is that people are curious, as long as the problem is not too easy or too difficult--the Goldilocks special.
So how do we manage to get through life if we don't think well? Essentially, we rely on our memories. Once we've figured out how to do something once (or twice), then we rely on our memory system to recall that piece of information, so that our brains don't have to work hard and figure it out again. For example, when driving a car, you don't have to relearn how to press the accelerator, apply the right amount of pressure on the brakes for stopping, shifting gears, checking for cars on the side, and much more. All those discrete steps are memorized and now recalled perfectly and efficiently. That explains why travelling to a country with a different language and culture is so tiring: you have to relearn all of the simple rules and customs of that particular place.
How does thinking work in basic terms? There are four factors: information from the environment, facts in long-term memory, procedures in long-term memory, and the amount of space in working memory. If any of these is lacking, then thinking will likely fail.
Therefore, one of the reasons why students don't like school is because the tasks and problems they face are either too easy or too difficult, or the thinking required to solve them breaks down in one of the four key areas. So what can be done to alleviate this conundrum?
Have solvable problems: Make sure students have a variety of cognitive work during the day that pose moderate challenge. Are there cognitive breaks? Consider their suitability.
Respect Students' Cognitive Limits: Do students have the necessary background information to solve the mental challenge? If not, prepare them accordingly. Also, don't overload their working memory. Slow the pace and use memory aids, such as writing on the board.
Clarify the Problems: It's difficult for any problem to be "relevant" to an entire group of diverse learners with unique interests. When planning a lesson, start with the information you want students to learn. Then prepare key questions at the right level of difficulty to engage your students and respect their cognitive limitations.
When to Puzzle Students: Do we start with a thought-provoking question, or conduct an interesting demonstration or present a fact? Which is more effective? Sometimes a startling experiment can capture students' attention, but without the proper background information, the temporary thrill will be akin to a magic trick.
Student variance and differentiation: Because students come to class with varying levels of preparedness, understanding, motivation, it is best to assign work that best suits their current level of readiness.
Change the Pace: If you feel you're losing the attention or interest of the learners, then switch gears, change topics, start a new activity or find out what they are having difficulty with, or if it is too easy.
Keep a Diary: As a teacher to improve professionally, it's important to keep track to successes and failures, in order to build up a library of best practices. What worked best for the students? What failed miserably?
Source: Why don't Students like school? Daniel T. Willingham, 2009
Long gone are the days where students sat in rows and learned the same thing at the same time, usually from the authority standing in the front of the classroom. Now, fast-forward in time, and Kallick and Zmuda describe the four key attributes to personalized learning--the clear contrast to learning of the past.
Voice: Students participate in the creation of the learning, because it’s really their learning. Most people do not like to be told what to do, at least not all the time. Instead of being passive passengers heading in one direction, they are often in the driver’s seat, determining their own journey and pathway and destination.
Co-Creation: Students work with the teacher to develop the entire learning plan, from start to finish: what do they want to learn?; how will it be assessed?; how will they learn it?
Social Construction: The notion that “no man is an island” (John Donne) aptly describes student learning in the classroom; it is an social affair and construction of knowledge, according to Vygotsky. Finally, the whole is greater than the sum of the parts (Aristotle), as collaboration and cooperation amongst fellow peers can lead to much greater triumphs and accomplishments.
Self-Discovery: Creating self-aware and self-directed learners is the ultimate goal for teachers. If students can figure out their strengths and weaknesses, and determine how to improve and grow, then they will be set for life.
Differences Between Individualization, Differentiation and Personalized Learning
Students are assigned the learning tasks, and they use technology to accomplish those tasks. Khan Academy would be one such example. In blended learning environments, there may be some co-creation and social construction, but learners still have little say in the work they do.
Today’s classroom houses learners varying in skills, readiness and interest. Students can select topics (content), how to learn (process) and create the final form of learning (product). However, the teacher is still leading the design and management of the learning experience.
Kallick and Costa encourage the use of the 16 Habits of Mind, in conjunction with personalized learning, in order to fully understand their learning, and engage in higher level thinking and performing.
16 Habits of Mind:
What I notice about these habits of mind are the similarities to the core competencies of the BC curriculum: communication, critical and creative thinking, positive personal and cultural identity, personal awareness and responsibility, and social responsibility.
Source: Students at the Center, Bena Kallick & Allison Zmuda, 2017
Joel Hellermark, 21, the founder of Swedish edtech startup Sana Labs believes so. And he’s not the only one: Tim Cook, CEO of Apple, and Mark Zuckerberg, Facebook founder, apparently are intrigued with Hellermark. There are three good reasons why: the education industry is worth $6 trillion worldwide; only 2% of education is digital; and AI learning in education is in its infancy.
Instead of the traditional rules-based AI, Sana Labs is using deep neural networks, a strand of machine learning. Continuously analyzing historical data, it is a more efficient and effective form of AI. Recently it won Duolingo’s Global AI competition in language learning. Now Hellermark believes his company is ready to use its AI-learning platform for all types of learning, not just language, and believes students will finish their studies in half the time, or be 25 to 30 percent more engaged.
Whether or not Sana Labs will be an AI leader in education remains to be seen, but AI in education will definitely continue to grow at an accelerated rate in upcoming years.
Source: Tom Turula, Business Insider Australia
The July 22 issue of the Economist covered the wide-ranging and fascinating issue of edtech and machine learning. This revolution is spurred on by advances in artificial intelligence (AI), as well as cognitive science. I will attempt to summarize and highlight the salient points.
What’s interesting is that “adaptive learning” software has been around since the 1970s, but it hasn’t come to a level of usefulness until now with the advancements in computing power. Momentum has built and now there are many schools, software, systems and people all over the world trying to use edtech to improve teaching, learning and schools.
Are teachers about to be replaced by edtech? At the moment, no. Teachers, students and schools are all being augmented by this new wave of technology. As well, there are limitations to edtech: improving the argument in a history essay or finding humour in drama class is still a challenge for machines. And as the 2015 study shows, teachers still play the most critical role in student learning. Having said that, as technology becomes more pervasive, cheaper and especially intelligent (AI), it is probably only a matter of time until teachers may need to consider a career change or early retirement.
Norma Rose Point is a beautifully designed school on the UBC campus, but it’s much more than a pretty face. It exudes innovation, collaboration, engagement and powerful learning. There are three distinctive elements that allows this unique public school to function in such a special way. All three are essential and work seamlessly together. They are the physical learning space, the overarching school philosophy, and teacher and student relationships.
PHYSICAL LEARNING SPACE
The physical space of different “communities” with rooms like the Da Vinci room and outdoor garden space, kitchen space, open spaces, hallways and much more. All spaces are communal in nature. What was interesting was the notion of instructional space at the school; everything, even little crooks and crannies, can be instructional or learning space. Rooms are as flexible as the learning, with folding tables that allow rooms to turn from a science room into a physical exercise space in a matter of minutes.
Most of the philosophy comes from the Innovative Learning Environments Project by the OECD (Centre of Educational Research and Innovation). Learning nowadays is considered socio-constructivist, meaning that in any given context, learning is actively constructed and socially negotiated. The ultimate goal is adaptive expertise--being able to use knowledge and skills in new situations. Adaptive expertise is developed through guided (teacher-led), action (student-led) and experimental (play) learning. This leads into lifelong learning. Learning is also determined by emotion and motivation, so students need to feel positive and confident yet realistic in their learning goals.
The 7 principles of learning are the following:
The building blocks for innovative learning environments are cooperative learning, service learning, technology, home-school partnerships, formative assessment and inquiry-based approaches (project, problem, design).
The school’s motto is “Learners at the Centre” and I think that pretty much sums up what happens in the school. So, anything that doesn’t contribute to learning (books or materials that sit in cardboard boxes) must be taken home. Even the shelves are considered “sacred,” so they must be essential for the teacher. The mission statement goes on to add: To meet learner needs we differentiate instruction, focus on Learner strengths, infuse technology in meaningful ways and collaborate with each other to be the best we can be.
With such a clear and powerful mission statement, and with strong buy-in by teachers, there seems to be a sense of pride, ownership, and joy in striving for success of all students.
TEACHER AND STUDENT RELATIONSHIPS
The professional office space allows for constant collaboration, beyond actual set times, and a weekly timetable helps organize that collaboration into overall teaching goals and plans. Teachers spend only about a third of their time in one learning space, and will often work with a variety of students, depending on the learning that’s happening. Students are often ability grouped, so individualized student learning is targeted.
Inquiry learning is also a key concept at this school. Inquiry learning is student-dependent, and each inquiry is different for each student. This is closely connected with Genius Hour and passion-based learning, as well. I liked how they thought of engaging ideas, such as “Ted Talks,” “Kickstarter,” “Star Wars University,” and “CSI.”
Learning is visible in more ways than one. In the most basic sense, the openness of the learning spaces--classrooms with lots of clear glass and moving doors--allows clear lines of sight of all students. Beyond that, of course, is the notion of taking what students are thinking in their brains and then showing it in a tangible way; for example, electronic and physical portfolios. Also, learning celebrations held every few months are the culmination of that learning. They sound like student-led interviews, but on a much grander and festive scale.
Another interesting relationship was even between students and classroom supervisors. These supervisors are considered staff and treated with respect. Even more so, they help give additional collaborative time to teachers, by leading learning activities like the Daily 5 in classrooms.
Finally, there was emphasis on students being able to self-regulate, using ideas of restorative justice and zones of regulation. If students are struggling with their emotions or conflict with others, then learning will suffer, so they need the tools and skills to be able to bring themselves back to the proper state of well-being.
It occurs to me that the layout and design and sharing of materials and tools are reminiscent of kindergarten and early primary. Individuality and personal space, which is keenly represented by a student's desk, does not exist. Instead, tables, floors and the outdoors now represents where learning happens--which is everywhere. What's equally interesting in my mind is that if you look at the most creative, innovative, in particular high-tech companies, you will find a similar layout and design: open space concept, communal living and working, bright lighting, and all-inclusive campus look and feel. In other words, it feels like home, not a place of work (even though you are working hard, in most cases!) Of course, individuality and a sense of uniqueness clearly exists, with their portfolio systems, differentiated learning, ability groups, and more.
Technology is a big part of the school, with a ratio of about 3:1 iPads currently, and probably lower if you include devices from home. They have short-throw projectors, a media room with some desktops and a green screen room. The Learning Resource Centre has a 3-D printer and some computers. What's most interesting is that technology was never really discussed in the two-hour tour session with principal Rosa Fazio. Maybe because it had become second nature or because it was naturally integrated into the entire learning system. It was simply another tool used for research, presentations, expression and creativity, but it never superseded other types of tools. I think the belief that "learners are at the centre" is the key, and while they "infuse technology in meaningful ways" according to their mission statement, their mindset is that learning comes from all areas of life, not simply technology.
Here is a summary/highlights of the three workshops I attended today at the CUEBC Conference.
The big one in my mind was "Coding K-12" by Ian Landy. It was about coding, both specifically and generally, in a centres format.
The techie mindset includes being critical, creative, collaborative, and to compose and communicate.
The Centres approach has several features:
Tools (learn) vs. Toys (distract): ask students--is it a tool or a toy?; good check-n
Coding State of Mind (can happen anywhere!)
1:1ish - 1 station per student; scaleable
IT'S NOT EASY
Learning by thinking is thought to be the best of the common learning orientations (discovery and didactic). Personalized learning would come in the form of consultation and negotiation of packaged and personally developed courses. The required expectations would need to be met at a certain level, but it would be personally "tailored" to meet their strengths, needs and interests. Sense-making would be grounded in rigorous investigation, not just playful exploration. Students' primary responsibility is to reach their own conclusions based on careful and informed assessment of all the evidence and data. The teacher's role is that of a choreographer, orchestrating rich thinking activities and developing the environment that allows learners to thrive.
Source: Creating Thinking Classrooms, (Gini-Newman & Case, 2015)
Daniel H. Lee
This blog will be dedicated to sharing in three areas: happenings in my classroom and school; analysis and distillation of other educators' wealth of knowledge in various texts; insights from other disciplines and areas of expertise that relate and connect with educational practices.