Archive for the ‘elaboration’ category

Let’s Banish Critical Thinking, Part 2: Learn

February 15th, 2010

Kyle examined his bookmarks. If he’d printed out all the information he’d found the paper would pile up to well over an inch high. Even though he’d been discerning in the references he noted, the information available was overwhelming and defeating, an obstacle that prevented Kyle from moving past the data collecting stage of his project. Whether he chose the traditional approach and wrote a paper or the technological option of a multimedia presentation, Kyle couldn’t communicate ideas he didn’t yet “own” himself, and the list of bookmarks represented more than he could ever apprehend.

His teacher expected evidence of his learning, but Kyle lacked the know-how that could enable his success. Kyle was a successful student in traditional classrooms, but he did not know how to learn, especially when he was responsible for the process.

As teachers we tend to focus on our teaching and assume students know how to learn. It’s a natural perspective—we teach, students learn. Focusing on learning can seem misdirected because what we’re going to do in the classroom demands our immediate concern—it’s what we describe in the required lesson plans. However, failing to focus on student learning capacity produces the predicament Kyle faced: expectation without enablement.

I suggested in the previous post that we examine thinking as a target. “Memorize” formed the target’s outermost ring.

Learning represents a movement toward the target’s center and beyond mere recall. In fact, we’re moving from a relatively straightforward process (rehearse→remember→recall) to more complicated combinations of processes.

Learning often involves four core processes, or four “states” of thinking. (Thinking is more fluid than the term states suggests, but this simplification can help us understand its flow.) Through experience, the brain gains raw sensory data. During comprehension, the brain sorts, labels, and organizes the raw sensory data. Through elaboration, the brain examines the organized data for patterns, recalls relevant prior experiences, and blends the new data with your experiences to construct understanding. During application the brain practices using or expressing the new understanding. There’s much more that could be said just about these core processes (an entire chapter of The Architecture of Learning explores these in depth), but allow me to move on and introduce a related idea.

The influential book 21st Century Skills: Learning for Life in Our Times argues for a greater emphasis on “Learning and Innovation Skills.” Such skills, explain authors Trilling and Fadel, “are the keys to unlocking a lifetime of learning and creative work.”1 We should increase instruction in the skills of learning, not just guide student learning of core subject matter. In other words, we need to place more value and emphasis on teaching students how to self-teach (or self-learn). We need to teach them how to engage learning’s core processes; we need to teach them the thinking skills that enable self-directed learning.

As we explore learning’s core processes in detail, a myriad of related skills emerge. Here’s a partial chart I’ve compiled. All these skills either contribute to a core process or engage a combination of learning’s core processes.

Going deeper, learning to learn becomes even more interesting (or complex, depending on your perspective), but what we can actually teach comes into focus.

For example, a group of educators in Philadelphia took part of the very first skill (identifying, clarifying, and phrasing questions) and discussed, “What is the range of this skill? What do its initial steps of development look like? What would its fullest expression look like?” After we grappled with these concepts, we considered when instruction for each step might begin and where it might mature to mastery. Here’s what evolved:

As we saw this potential scope emerge, the group became excited. For the first time, many of them felt they knew what to teach to equip students to think critically. (I know, I used the term I’m advocating we banish!) My response, and what I still believe, is that we identified, at least in part, the skills we could teach that would equip students to learn independently. Learning is not separate from thinking but dependent on it:

What we know results from what and how we think. Researcher and critical thinking expert Diane F. Halpern explains:

Knowledge is not something static that gets transferred from one person to another like pouring water from one glass to another. It is dynamic. Information becomes knowledge when we make our own meaning out of it…[We] create knowledge every time we learn a new concept.

Educator Laura Erlauer agrees, explaining that thinking processes “allow the brain to thoroughly understand the new concepts and internalize them into meaningful memories.” Learning is a product of thinking.2

Where does that leave us? Here are a few possible conclusions:

  • Learning is more than memorizing. It engages cognitive processes (comprehension, elaboration, application) that extend beyond rehearsal and recall. Learning is powered by thinking, and learning provides new material for thinking. (As one commenter on the last post put it, you have to have something to think about.)
  • Teaching students how to become learners requires helping them develop these cognitive processes and their associated skills/sub-skills.
  • The associated skills possess “steps” of development that provide more specific direction for what we can emphasize in the classroom.
  • Teaching these skills should be our priority. Everything else, such as the specific topics we teach, should be the material students learn through practice in using these skills. In other words, these skills should “drive” the curriculum. That does not mean we do not teach the traditional disciplines, but that the traditional disciplines are a means to the desired end of equipping self-directed learners.

I realize this leaves plenty of unanswered questions, such as:

  • What are the developmental steps for all the other skills?
  • What about problem solving? creativity? reasoning?
  • How can we “cover” the mandated curriculum while teaching students the skills to become self-directed learners?
  • How does teaching students to become self-directed learners aid achievement as measured on standardized testing?
  • Are there approaches we can use that would engage students in utilizing these skills while becoming knowledgeable of new subject matter?

I’ll address some of these in future posts, but honestly, I don’t have answers to all of them. It seems current educational mandates and structures hinder good answers to some of these critical questions (and produce the very problems Kyle faced). Changing direction likely requires a rethinking of current emphases and structures.

But then you probably already knew that.

References

  1. Trilling, B. & Fadel, C., 21st Century Skills: Learning for Life in Our Times (San Francisco: Jossey-Bass, 2009), 49.
  2. Washburn, K.D., The Architecture of Learning: Designing Instruction for the Learning Brain (Pelham, AL: Clerestory Press, 2010), 186).

Learning? Diving Required!

January 4th, 2010

If you’ve ever swum in a hotel swimming pool, you’ve likely seen the sign: “No diving! Water depth is too shallow.” The pool is not deep enough to allow safe diving, and the fear, of course, is that the hotel will be sued if swimmers injure themselves by diving head-first into the pool.

It is probably a good policy for hotels, but not for constructing lasting learning. According to memory researchers, depth of processing increases retention. Why? Because deep processing “allows a richer and more elaborate code, which in turn becomes more readily available.”1 This idea is not a new one. In 1890, William James wrote: “The one who thinks over his experiences most, and weaves them into systematic relations with each other will be the one with the best memory.”2

The message: to make learning memorable, engage students in deep thinking about new material. But what constitutes deep thinking in new learning? Research suggests two mental activities, comprehension and elaboration.

Comprehension involves organizing new data. “During comprehension, the brain sorts, labels, and organizes the raw sensory data.”3 As teachers, we often organize material as we prepare to present it to students. However, the research claims that the students must label and sort new material themselves to increase the likelihood of retaining it. Even if students replicate the teacher’s organization of the material, the act of sorting and labeling the data themselves contributes to learning. Learning is somewhat like medicine. If the teacher takes the medicine, it does the student little good. But when the student takes the medicine, when the student thinks deeply about new material, the medicine can work as intended.

So, what does comprehension look like in the classroom? Students manipulating representations of ideas into structured schemes, such as tables, sequences, hierarchies, or even stories. For example, after explaining and modeling the steps involved in eliminating unneeded or ineffective modifiers from writing, a teacher may have the students develop flow charts to illustrate and sequence the steps. Naturally, the teacher presents and models the steps in their correct order, but having the students sequence the steps engages them in one aspect of the deep processing that promotes retention and recall.

This is also true of deep thinking’s second mental activity, elaboration. Elaboration “involves linking the material being rehearsed to other material in memory.”4 The term conceptual blending aptly describes elaboration. “The brain receives and sorts sensory data causing patterns to emerge. The patterns direct the brain to search its long-term memory stores for previous experiences that illustrate similar patterns…Once recalled, the previous experience provides a reference point for further thinking about the newly received data.”5 Understanding develops as a student recognizes relevant connections between the reference point and the new data, and “blends” these ideas.

What does elaboration look like in the classroom? “Increasing the variety of ways the brain processes information (e.g., both verbal and nonverbal) increases connections between new and known information.6 Learners deepen their understanding of new information by representing it in varied forms.” Howard Gardner’s multiple intelligences offers a way to vary the ways students interact with material. For example, during an earth science unit, a teacher may challenge students to find or create music that illustrates volcanic eruption or create personified accounts in which a volcano shares its goals, fears, and strengths as it prepares to erupt. “Note what such tasks require of the learner. Significant connections between the new material [e.g., volcanic eruption] and a nonverbal reference point [e.g., music] must be explored.” Such exploration engages learners in deep processing of the new material. “The resulting connections, which stem from the student’s life experience, create a conceptual network that gives him greater flexibility in thinking.”7

Unlike a shallow swimming pool, when it comes to learning, diving deep is good for one’s head!

Notes
  1. Baddeley, A., Eysenck, M.W., & Anderson, M.C., Memory (New York: Psychology Press, 2009) 102.
  2. Ibid. quoted on p. 102.
  3. Washburn, K.D., The Architecture of Learning: Designing Instruction for the Learning Brain (Pelham, AL: Clerestory Press, 2010) 8.
  4. Baddeley, 103.
  5. Washburn, 14.
  6. deWinstanley, P. A., & Bjork, R. A., “Successful Lecturing: Presenting Information in Ways that Engage Effective Processing,” in Halpern, D. F., & Hakel, M. D. (Eds.), Applying the Science of Learning to University and Beyond, vol. 89 (San Francisco: Jossey-Bass, 2002).
  7. Washburn, 21.

photo credit: englishpianobloke (Flickr.com)

TMI! Information Overload and Learning

July 6th, 2009

“Too much information—TMI!”

More than just a retort when conversations turn personal, TMI also describes a common student experience. When one period of steady information flow follows another, the rising data tide does not lift all boats. It overwhelms them.

We can maintain a quick and steady pace when we enter information into a database or spreadsheet, simply pushing “return” or “tab” to move to the next entry, but the brain is not a computer. It has limits. Data funneled endlessly through the senses prevents the processing required for learning.

What do students’ brains need to do to construct new learning? Let’s listen in as the neural “Data Manager” oversees the processing…

Okay, we got incoming data here. Everyone look alive!

Get that bit there and put it with the other that’s like it. Those two bits there, move them to the right. Move those others across the room to that grouping there.

Is that it? Do we have all the data? Okay, let me get up to the observation platform to see what we’ve got here. Hmm, okay. Put this label on that grouping there. And give that group to the right this label. That last group needs this label.

Okay, let’s see what’s really going on here. Seeing some patterns! Get the librarians searching for past records with these patterns.

Got something? Great. Let’s overlay it with this new data.

A-ha! The new data is like this past experience in some ways. Get the insights to the consciousness office and tell them to hit the “Give a lift” button! We’re constructing understanding right now!


Obviously no such director exists for cognitive activity, but the processing illustrated by the imagined “Data Manager’s” actions do reflect the brain’s approach to constructing new learning. Incoming data gets sorted and labeled as the brain engages in comprehension. The sorted and labeled data reveals emerging patterns that trigger recall of similar past experiences as the brain engages in elaboration. These cognitive processes empower learning.

But TMI floods the brain with data, preventing comprehension and elaboration, and thus, preventing learning. Jonah Lehrer suggests the danger of too much information is “it can actually interfere with understanding.” Why? Because the brain has a do-it-yourself attitude toward learning.

As teachers, we think through material when we plan its delivery. But students’ brains need to engage in that same process to learn for themselves. In short, we process the new material to teach it. Students must process the information similarly to learn it. As Daniel Willingham, author of Why Don’t Students Like School?, explains, “Good teachers design lessons in which students unavoidably think about the meaning or central point” [emphasis added]. Thinking cannot overcome TMI, but TMI quickly overwhelms thinking. In short, TMI prevents learning while unavoidable thinking promotes it.

When you stop informing and engage students in thinking, you empower learning. In other words, you truly teach.