Sunday, January 17, 2010

Week 2: Learning Theories and Math

Have you ever wondered why some people have the uncanny ability to spit out numbers they've just heard once, or perform simple math operations in their head within record time?  Were they born with a special aptitude, do they learn (process information) differently, or were they taught by different teaching methods?  Recent research in how people learn numbers and math purport that those viewed to succeed in the above areas exhibit the ability to dual code; i.e. the ability to associate numbers with words and images (Bell, 2003).  Much of the information presented below comes from articles and research posted on two websites:  LD OnLine and Ohio State's Ed Laughbaum

Gersten and Chard, in their article "Number Sense:  Rethinking Arithmetic Instruction for Students with Mathematical Disabilities" (2001) state that research from neuropsychologists and cognitive psychologists agree that disabilities in math include three items:  high frequency of procedural errors, difficulty in retrieval of arithmetic facts, and inability to symbolically represent or code numerical information for storage in the brain. Looking back to the way I was taught basic mathematics, the methods used were primarily memorization and recitation.  I recall being graded on how many problems I could solve in 60 seconds, which emphasized memorization of the addition and multiplication tables.  This turned basic math into declarative knowledge, which researchers agree that the retrieval of declarative knowledge is often slow and conscious (Ormrod, 2009). This sentiment is echoed in both Gersten & Chard's work as well as Bell’s work.

After all these years, why is the memorization and recitation method in math now being proved as not adequate?  I do not have an answer for that, except that the brain and learning theories is still an emerging topic.  What we know now is that for humans to place items into long-term memory AND be able to recall it quickly, we need to create connections to words, sounds, experiences, and emotions (Ormrod, 2009).  Laughbaum (2010) posits this theory by stating, "Teachers must create connections to improve the memory of mathematics taught."  He goes on to explain that processes need to be connected by relationships to personal experiences and emotions.  The more connections, or associations, you have to the data, the easier it becomes to recall, even if you don't have all the data upfront.   

If you agree with the current research and theories, what remains is to establish is the best way to teach math to create the most connections possible.  Laughbaum has done extensive research on this topic and has information available on his website: http://www.math.ohio-state.edu/~elaughba/ .  He has several presentations and published papers on his site that explain methods used to help retain math data and procedures, including pattern building, generalization, and technology such as software.  What is important to note is the order he recommends using the methods.  He generally recommends letting students generalize and formulate their own processes and procedures before demonstrating a preferred method to students (Laughbaum, 2008). 

For me, drilling basic math through memorization wasn’t the most effective, in part because I am a very visual and relational type of person.  Current research in the field recommends associating words, colors, patterns, and experiences to numbers, which is something I was never taught and never formulated on my own.  Did it hold me back in school or my profession?  Not at all!  Could it have the potential to hold others back?  I believe so, since those who may be slow to recall math information may be incorrectly labeled as “slow” and lacking understanding to move on to higher forms of math.  Can being slower to recall basic math operations help create test anxiety, causing students to “blank out” during exams and being incorrectly labeled?  You bet, and research by Higbee (1999) validates this theory by correlating the time to recall information with test anxiety.  
 
The authors, researchers, and websites cited in this article are making valuable contributions to the world of information processing and retention in a often overlooked discipline - math.  As an instructional designer, whether within education or corporate training, the theories and methods presented will help you create and present material that will be retained long after the students have left your class.  LD OnLine (http://www.ldonline.org/) has a wealth of information on how learning theories relate to memory retention, especially for those with learning disabilities.  For more information on how the brain processes and retains math, Laughbaum has an extensive work published on his website at http://www.math.ohio-state.edu/~elaughba/.   

I’d like to open this blog to readers to share experiences of how they learned or teach math; what methods work and which didn’t? How do you form connections to be able to recall the information later? How does research in cognitive factors help or change the way math is being taught?


References


Bell, N. and Tuley, K. (2003). Imagery:  The sensory-cognitive connection for math.  Retrieved January 16, 2010 from: http://www.ldonline.org/article/Imagery%3A_The_Sensory-Cognitive_Connection_for_Math


Gersten, R. and Chard, D. (2001).  Number sense: Rethinking arithmetic instruction for students with mathematical disabilities.  Retrieved January 16, 2010 from: http://www.ldonline.org/article/5838


Higbee, J. & Thomas, P. (1999).  Affective and cognitive factors related to mathematics achievement.  Journal of Developmental Education, 23(1), 8.  Retrieved January 16, 2010 from Education Research Complete Database.  Permalink: http://ezp.waldenulibrary.org/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=2256674&site=ehost-live&scope=site


Laughbaum, E.D.  (2010).  The neuroscience of connections, generalizations, visualizations, and meaning.  Retrieved January 16, 2010 from: http://www.math.ohio-state.edu/~elaughba/


Laughbaum, E.D.  (2009).  Generalizing patterns in algebra for long-term memory understanding.  California Math Council, ComMuniCator, (34, 2), December, 2009.   Retrieved January 16, 2010 from: http://www.math.ohio-state.edu/~elaughba/


Laughbaum, E.D. (2008).  Implications of neuroscientific research on teaching algebra, Int. J.
            Continuing Engineering Education and Life-Long Learning, Vol. 18, Nos. 5/6,
            pp.585–597.   Retrieved January 16, 2010 from: http://www.math.ohio-state.edu/~elaughba/ 


Ormrod, J., Schunk, D. & Gredler, M. (2009). Learning theories and instruction (Laureate  custom  edition). New York: Pearson.

Sunday, January 10, 2010

Week 1

After scouring the internet for interesting blogs dealing with instructional design and technology (IDT), I've found 3 that I believe will help me in my journey, Langevin Learning Services Blog (http://www.langevin.com/blog/), The Instructional Design & Development Blog at DePaul University (http://www.iddblog.org), and John Shook's Lean Management Column (http://www.lean.org/shook/).

Langevin Learning Services presents helpful and informative information on engaging students. They have various categories such as:
adding excitement to your class, advanced instructional techniques, how adults learn, and presentation skills. All of the categories present a well-rounded view on the "softer" topics near and dear to a corporate trainer. Their last few posts focused on "difficult learners" and offered advice on engaging these types of students in your classes. This topic is approached positively and insightfully and can assist many trainers in understanding and overcoming this type of learner.

The Instructional Design & Development Blog at DePaul University (IDD) compliments the Langevin blog. This blog appears to focus more on the technological aspects of IDT. Recently, their blogs have focused on Learning Management Systems (LMS), on-line learning, and presentation of materials, to name a few. As my company moves more towards on-line, e-learning modules, I believe IDD will help me by providing tips on constructing more effective learning materials that take advantage of technology. IDD also lists links to 3 additional resources in the realm of digital media. I haven't had time to check out the links yet, but they sound like a great resource for the future.

The last blog doesn't focus on IDT, but it does focus within my specialty of training: lean. I have been following and using the Lean Enterprise Institute (LEI) for quite a few years now. John Shook's Lean Management Column offers insight and examples on various lean implementations and thoughts. Shook has published several books, most recently Managing to Learn. He promotes learning organizations and culture changes, which are important aspects for an IDT professional to consider when creating classes and curricula. Over the years, I have found myself reading his newsletters and using his information in classes I've taught to help explain and/or provide additional examples outside of my industry to help students grasp the concepts taught. Shook states in his last column:
Lean management is very much about asking questions and trying things, or encouraging others to try things. Lean management itself is not much about providing the right answer but it is very much about asking the right question.
This quote is how I view effective instruction and teaching. It's using the Socratic method in helping change culture. You learn by formulating your own ideas and doing, not being told what to do.

I wish you all good luck in your IDT journeys. I hope to be able to share my thoughts, insights, and resources with others and help foster discussion on various learning theories and methods.

Have fun, learn, and make a difference!

Saturday, January 9, 2010

Intro

Hi there! Welcome to my blog for EDUC 6115: Learning Theories. The intent of this blog is to promote discussion and sharing of various learning theories and styles as it pertains to Instructional Design & Technology. My particular emphasis is in corporate learning and performance, so more focus will be given to that sector versus education in schools and learning institutions. Enjoy!

Have fun, learn, and make a difference!
Leanne