Ferris State University

Center for Teaching, Learning & Faculty Development
Review of the Research on Memory and College Student Learning
 

A synthesis of current research)


Methods of Enhancing Learning and Recall

  1. Continual attention to students attention

  2. Generating retrieval practice—having students recall information

  3. Spacing multiple opportunities to learn, study and be tested over time is a very powerful method of enhancing long term learning

  4. Spacing the delivery of information rather then giving it in mass—improves all aspects of learning

  5. Presenting key concepts from more than one standpoint and demonstrating the relevance of key ideas in multiple context enhance long term recall and the generation of new knowledge

  6. Providing structure to the days learning activities—outline, set of questions, cognitive map all improve learning and recall

  7. Having students generate their own outlines or maps from the lecture or class activity

  8. Using visual images, mental imaging and other mnemonic techniques( anything that assist memory)

  9. Use analogies, metaphors and similes regularly in your teaching

  10. Have students generate elaborations of their understanding

  11. Have students make predictions about outcomes in advance of their experiments or problem solving activities

  12. Using open ended, relevant questions and insisting that all students try to answer them

  13. Testing cumulatively—requires students to continually revisit the course information

  14. Limit the amount of objective testing that allows for short term “cramming”

  15. Vary the ways in which students are allowed to demonstrate what they know about a subject

  16. Continually ask students to recall their knowledge about a subject as well as their understanding of that knowledge—this produces better Long Term Memories

  17. Students need activities that cause them to reflect upon what they have been presented in class—these can include:
    a.  summary writing
    b.  predictions
    c.  problem-solving activities
    d.  mind map making
    e.  outlining
    f.  quizzing
    g.  comprehension papers
    h.  preparation for oral presentations

  18. Use of emotion in teaching and in assignments enhances memory formation

  19. Limit the amount of information taught each day-3-4 main points—and break it up in to small units

  20. If its brand new information build background to connect it to

  21. The brain is an excellent copier—use this as a tool in your teaching

  22. Keep as many of the class activities as possible focused on using the frontal integrative cortex of the brain—where most of the pleasure centers are. 

Background on the Brain and Improved Recall
(based on the work of James Zull, The Art of Changing the Brain)

Humans can’t understand anything unless they create internal neuronal networks (NN) that reflects some set of physical relationships that accurately map the relationships that exist in what we are trying to understand.

  1. Start with concrete experiences—physical images
    Concrete experiences contain much of what we need for understanding because it produces images for our brain to analyze, rearrange, manipulate or turn into action. Images enhance recall
    Best Tools
    ·        First hand experiences
    ·        Visual images
    ·        Metaphors—my office is a prison
    ·        Similes—life is like a bowl of cherries
    ·       
    Analogies—He is fishing without bait
    ·        Examples—A good example of a high calorie dessert is  banana splits

    Examples of concrete are:
    a.      Starting with the problem not the tools to solve the problem
    b.     If I am teaching medical education I start with the patient
    c.     Starting with a story in history not the details
    d.     Any first hand experience

  2. Try to determine what connections are missing 
    a.      Students backgrounds are not linear— they are more like a web with lots of different pieces of information in different locations

  3.  Teachers need to spend time finding out what background information and skills their students have and do not have.  

  4. Students need to be asked to explain, demonstrate, create images of their understanding in order to discover what connections might be missing

  5. Keep in mind students have neural networks for how they believe school should be

  6. New learning activities will take time to become integrated with their ideas about how learning should be.

  7. Any new activity will take multiple repetitions before students will decide if they see it as important to their learning

  8. Students have been conditioned in K-12 to seek grades—it will not be easy to shift that view

  9. Teach students how to observe—For students to focus on the things teachers see as most important they must learn how to develop habits of observation and abilities to create mental images of what they observe

  10. The change in neural networks is directly related to:
    §       
    The importance of the information to the learner
    §        How often the information is used by the learner
    §        Most importantly the way in which it is presented to the learner--as an image

  11. When two neural networks fire at the same time the result is they get wired together (Hebb) in a whole new network. The blending of old and new creates a whole new

  12. New networks don’t takes the place of old networks

  • Information (or skills or behaviors) that may have been wrong or incomplete or mythological) are not destroy  but new knowledge

  • Given the right circumstances the old NN or the old way of doing things will return as it was before

The Back Cortex—Place for Reflection and Meaning

Time and Learning

In the brain’s learning cycle the reassembling of the sensory data into understanding takes place in the integrative back cortex of the brain—this process takes time. This process was referred to by David Kolb as “reflective observation” in his 1984 Experiential Learning Model.

What students do when they reflect is to seek an image that fits their experiences—they look for unity—the teachers’ job is to give students the right assignments that cause them to reflect on the right things.

Understanding can take minutes, hours, days or even years—time to reflect on what has been presented and to see where it fits, and its importance is necessary for deep learning to occur. 

Long Term Memory (LTM)—A Mostly Back Brain Function

We want students to remember but not to memorize!

Memory will occur as a natural part of learning when the information is important, practiced and connected.

LTM is a mixture of feelings and facts—it allows us to construct information that comes from a life time of learning

LTM’s that we are conscious of are called Explicit—two parts

  • Semantic---our facts

  • Episodic---our stories or the big pictures but not all the details—lots of emotion in episodic memories

LTM’s that we are not conscious of are called implicit—behaviors, beliefs and feelings can all be stored in implicit memory

Memories are not stored in any specific location in the brain but the process of memory has been localized in specific parts of the cerebral cortex

Semantic memories are located in the left frontal cortex and parts of the back brain on both sides.

Episodic memories are located in right frontal cortex and back cortex.

The formation of explicit memories requires the work of the hippocampus--it is the master assembler but it does not store memories. 

Feelings and Memories

Emotions can cause immediate memory formation that can last a lifetime.  Emotions can also impede memory formation and actually over long periods of time damage the memory centers including the hippocampus.

Feelings can and do aid in memory recall and also trigger false memories. How we feel about a learning activity has a tremendous affect on the memories that are formed or not formed from it.

Adrenalin the neuro-chemical that is often released under stress can improve the formation of semantic memory while at the same time inhibiting the work of the frontal cortex.

Students under stress for exams can use the adrenalin to aid in their memorizing but it will inhibit their taking action with the information (a frontal cortex activity)—students can pass the test but not really be able to use the information or have it later on. (James McGaugh, http://www.irvineworldnews.com/Astories/dec4/mcgaugh.htm) 

False Memories

The hippocampus will assemble memories to fit a given context even when the sensory data is not present. If there is enough data to create a context our brain will fill in what is missing. This can lead to students’ feeling they are absolutely correct only to discover that the missing data was really important and they are very wrong.

Working Memory

Working memory is one of the main functions of the front integrative cortex.

Working memory helps people remember what they need to solve a problem or develop an idea even if it’s mundane like getting to the dentist on time or remembering to bring home the milk.

It is possible to hold quite a bit of information in STM if we work hard and pay attention to it but that information can easily disappear because the WM and LTM involve different pathways in the brain.  (This is the biological explanation of why cramming for test does not produce learning)

WM is limited in capacity, tenacity and time—it does not hold tightly to anything and can be easily distracted.  At the same time working memory helps create new ideas and there appears to be no limit to those ideas. The power of this limited part of the brain is almost inexhaustible.

It is a good thing that WM has its limitations as if it could hold more information we would likely not reason as well, waste time on irrelevant things, not notice important things, etc.

WM and Teaching

  1. Don’t overload it—the more things in working memory the harder it is to focus on what is most important. If you are shoveling too much new data in then the only result is that other data has to be leaving.

  2. Two to three main items per class period is reasonable.

  3. Teacher should break things up into smaller pieces. This is what the brain does naturally anyway. Good students often find their own ways to keep the parts of things divided into small groups that fit together naturally.

  4. Working memory doesn’t mature. When something is brand new it is like being in kindergarten again. Teachers need to remember what it is like to be a novice learner.

WM and Thinking

The conscious rearranging and manipulation of items in working memory comes closest to what we call thinking. This process is carried out by the executive part of the front brain of which there are two parts:

  • Attending to relevant information

  • Task management—which is the manipulation of the relevant facts in order to achieve a goal

As teacher we may want to focus on each part separately.

Learning by Copying

Copying is of great value to the brain for survival. Students mimic what they experience constantly. The same neurons fire when we observe an action as when we do the action. (These are called mirror neurons).

Is copying learning? We get the basic raw material for learning from others but it may be how we organize it or manipulate it that creates learning.

Also we must consciously or unconsciously chose to copy or mimic and it is at that point that we take ownership of the information.

We can often send students mixed messages about copying, for example we want students to mimic our work ethic, honesty, reflection process, etc but we don’t want them to copy others’ work—except sometimes we do when their peers are showing them how to do something. The brain’s natural instinct to copy is at work all the time.

Current Memory Research and Its Application to Instruction and Learning
(based on the work of James Zull, 2002)

Pleasure seems to be associated with the frontal cortex and the frontal cortex is all about action and movement. Dopamine is the neuro-chemical linked to pleasure and it is found throughout the frontal cortex. Dopamine is thought   not be the pleasure reward itself but gives the “GO” signal which leads to action which is the reward.  What does this have to do with MEMORY?

Well movement seems to equal pleasure. This includes movement towards a learning goal, playing a game or reaching an achievement—i.e. learning something new. Movement towards a goal or leaning something new is what students need to feel pleasure. Discovering something new or exploring new ideas are all pleasure generating activities. Memory on the other hand including recall of information is associated with the past and connected with the back part of the cortex—the receiving part of the brain. This kind of learning, memorizing and recalling answers (worksheets) is less pleasurable and more work for a student.

In imaging experiments when learners were engaged in postulating answers and getting feedback on the answers the basal structures (pleasure areas of the brain) were more active. When students were simply asked to memorize associations the pleasure areas were less active and the back cortex near the memory systems were more active. (Zull, Art of Changing the Brain, 2002)

It may be that students don’t like having to memorize not only because it is hard work and time consuming but because it does not generate any pleasure.

What is Memory

Fundamentally, memory represents a change in who we are. Our habits, our ideologies, our hopes and fears are all influenced by what we remember of our past.

At the most basic level, we remember because the connections between our brains' neurons change.

Each experience primes the brain for the next experience.

Memory also represents a change in who we are because it is predictive of who we will become.

We remember things more easily if we have been exposed to similar things before.

So what we remember from the past has a lot to do with what we can learn in the future.

Scientists divide memory into categories based on the amount of time the memory lasts.

Modern computers encode memory as digital bits of information that are "randomly accessible."

Functionally, this means that your computer can bring up your best friend's phone number without accessing any information about what your best friend looks like or how you met.

The human brain stores memory in a very different way; recalling your best friend's phone number may very well bring to mind your friend's face, a pleasant conversation that you had, and a vacation you took together.

While computer memories are discrete and informational simple, human memories are tangled together and informational complex.

Unlike computer memories, a human memory is an abstract relationship amongst thoughts that arises out of neural activity spread over the whole brain.

The process from both a biological and a behavioral perspective is critically dependent on reinforcement.

Reinforcement can come in the form of repetition or practice; we remember that two plus two equals four because we've heard it so many times.

Reinforcement can also occur through emotional arousal; most people remember where they were when they heard about the 9-11 tragedy because of the highly emotional content of that event.

Arousal is also a product of attention, so memories can be reinforced by paying careful attention and consciously attempting to remember.

The process of converting working memory into long-term memory is called consolidation, and again, it is characterized by the loss of distracting information.

From a practical perspective, that means that we can remember something best if we learn it in a context that we understand or if it is emotionally important to us.

Mnemonic strategies

Contextual learning

Repetitive rehearsal

Emotional arousal

Are all good ways to ensure that we remember the things that are important to us.

By focusing our learning strategies on the strengths of the brain's memory systems, we may be able to learn more information in a shorter amount of time in a way that is useful to our lives.

The brain is not good at remembering long lists of unrelated numbers, dozens of nonsense words, or lengthy grocery lists.

The brain has an extraordinary ability to remember many events in rich detail.(Ashish Ranpura Yale University)

The Changing Brain and Memory

Suppose you learn a new manual skill, such as playing the guitar.After months of steady practice, you take a look at your hands---they have not grown or shrunk, except for maybe a new callus or two. But your brain has changed—it has been quietly recruiting new neuron populations to support your guitar-playing skill. In particular, the cortical maps for your hands have grown.

Practice Makes Perfect

Why are attention, repetition, and intensive practice the prerequisites of brain plasticity?

Do we really have to listen to our teachers, go to class every day, and do homework every night?

In 1890, philosopher and psychologist William James offered his thoughts to those of us who might have preferred a lazier route:

"Millions of items of the outward order are present to my senses which never properly enter into my experience," he wrote. "Why? Because they have no interest for me. My experience is what I agree to attend to. Only those items which I notice shape my mind - without selective interest, experience is an utter chaos."

References

Ahissar, Ehud, Eilon Vaadia, Merav Ahissar, et. al. 1992. Dependence of cortical plasticity on correlated activity of single neurons and on behavioral context. Science 257:1412-1415

Buonomano, Dean V. and Michael M. Merzenich. 1998. Cortical plasticity: From synapses to maps. Annual Review of Neuroscience 21: 149-186.

Davis, B. (2001). Tools for Teaching, Jossey-Bass: San Francisco

Elbert, Thomas, Christo Pantev, Christian Wienbruch, et. al. 1995. Increased cortical representation of the fingers of the left hand in string players. Science 270:305-307.

Halpern, Diane and Milton Hakel editors 2002. Applying the Science of Learning to University Teaching and Beyond, Jossey Bass

Kaas, Jon H. 1995. The reorganization of sensory and motor maps in adult mammals. In Michael S. Gazzaniga (ed.) The Cognitive Neurosciences. Cambridge, MA: MIT Press.

Merzenich, M.M. and W.M. Jenkins. 1993. Cortical representation of learned behaviors. In P. Andersen, O. Hvalby, O. Paulsen, and B. Hokfelt (eds.) Memory Concepts. Elsevier Science Publishers.

Singer, Wolf. 1995. Time as coding space in neocortical processing: A hypothesis. In Michael S. Gazzaniga (ed.) The Cognitive Neurosciences. Cambridge, MA: MIT Press.

Schacter, D. (2001) The Seven Sins of Memory. Houghton Mifflin Company:  Boston.

James McGaugh http://www.irvineworldnews.com/Astories/dec4/mcgaugh.ht

Spitzer, Hedva, Robert Desimone, and Jeffrey Moran. 1988. Increased attention enhances both behavioral and neuronal performance. Science 240:338-340.

Sprenger, M. (1999). Learning& Memory The Brain in Action: Association for Supervision and Curriculum Development: Alexandria, Virginia

Sylwester, R. (1995). A Celebration of Neurons. Association for Supervision and Curriculum Development: Alexandria, Virginia


Faculty wanting further information about any of these topics are encouraged to contact Terry Doyle at doylet@ferris.edu



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