Reflection

Learning about how people learn was very intriguing to me.  When I was looking back at the class resources from each week I reflected on two thing, learning styles and motivation.  “Students often become uninterested and restless during class when there is no correlation between the way students learn and the way instructors teach” (Gilbert & Swanier, 2008).  When teachers research learning styles it provides “direction for either how to teach individuals through their styles, patterns or how to teach them by capitalizing on their personal strengths. Learning style can also be defined as the way in which each learner begins to concentrate on, process, and retain new and difficult information. Identifying learning styles and adapting lessons can motivate, encourage students to succeed, and eliminate unfair labeling. Different individuals perceive and process experiences in different preferred ways” (Gilbert & Swanier, 2008). 

However when students are motivated by teachers they can be more interested in class and their work.  “A student may arrive in class with a certain degree of motivation. But the teacher's behavior and teaching style, the structure of the course, the nature of the assignments and informal interactions with students all have a large effect on student motivation” (Kirk, 2011).  Probably one of the most striking things I’ve learned during this course is the fact that people can learn and identify with multiple learning theories and strategies depending on the situation or circumstance that the material is being presented in.  Also as I furthered my knowledge about how people learn, I realized that adult learner thinking and motivation is vastly different from even a college student’s

Through this course I’ve learned about my own learning process.  I’ve learned that through Gardner’s multiple intelligences my strengths are logical-mathematical, bodily kinesthetic, spatial-visual, interpersonal, and intrapersonal (Businessballs.com, 2011).  My weaknesses can be found in linguistic and musical categories (Businessballs.com, 2011).  Using Gardner’s multiple intelligences to evaluate your personal learning style allows you to understand how to modify learning to your advantage (Gardner, 2003). After taking Gardner’s Multiple Intelligence Test I found that my own knowledge of learning confirmed I like to learn in ways use analytical thinking skills, hands-on experiences, images, relating to others, and reflecting on my own learning and personal experiences.  “Given a specific instruction method or environment, some people will learn more effectively than others due to their individual learning style. However, this may not be the case throughout a course or a specific lesson; learning styles can actually fluctuate within subject or lesson” (Gilbert, & Swanier, 2008).

This class, Learning Theories and Instruction, has deepened my understanding for different modes of learning.  Everyone is unique and learns in various ways, because of this, there is no best way of learning.  No one particular learning theory is better than another (Fenwick & Tennant, 2004). My personal learning process requires me to make connections with new ideas and concepts.  Just like anything else that involves human experience or interaction, the act of learning does not happen in a vacuum. It is at the intersection of prior knowledge, experience, perception, reality, comprehension, and flexibility that learning occurs. (Davis, Edmunds, & Kelly-Bateman 2008).

Learning theories, learning styles, educational technology, and motivation create a puzzle.  When each piece is connected, learning is fun and exciting! When instructors are designing lessons it is imperative to consider the target audience. The instructor should allow for creativity and flexibility in assignments and time for interaction from the instructor to help the learner understand how they learn best (Ormrod, Schunk, & Gredler, 2009) so that he or she can enhance his or her own learning.  A good way to incorporate motivation is Keller’s ARCS motivational process (Keller, 1999).

This course has given me a concrete foundation for a career in instructional design.  This course has provided me with the building blocks of education: learning theories, learning styles, motivation, and education technology.  Over the past eight weeks, this class has enhanced my job as a current educator because I’ve become more aware of how I can effectively infuse technology into my instruction.  I am able to easily motivate my students by using the ARCS Model.  With today’s technology variety is necessary in order to best motivate and reach all learners.

Resources

Businessballs.com. (2011). Gardner, H. Multiple Intelligence Test retrieved on <2/15/11> from www.businessballs.com/howardgardnermultipleintelligences.htm

Davis, C., Edmunds, E., & Kelly-Bateman, V. (2008). Connectivism. In M. Orey (Ed.), Emerging perspectives on learning, teaching, and technology. Retrieved on <2/23/11> from http://projects.coe.uga.edu/epltt/index.php?title=Connectivism

Fenwick, T., & Tennant, M. (2004). Understanding Adult Learners. In G. Foley, Dimensions of adult learning: Adult education and training in a global era. (p. 55). McGraw-Hill Education.

Gardner, H. (2003, April 21). Multiple intelligences after 20 years. Paper presented to the American Educational Research Association, Chicago, IL. Retrieved from http://www.pz.harvard.edu/PIs/HG_MI_after_20_years.pdf

Gilbert, J., & Swanier, C. (2008). Learning styles: How do they fluctuate? Institute for Learning Styles Journal [Vol. l]. Retrieved from http://www.auburn.edu/~witteje/ilsrj/Journal%20Volumes/Fall%202008%20Volume%201%20PDFs/Learning%20Styles%20How%20do%20They%20Fluctuate.pdf

Keller, J. M. (1999). Using the ARCS motivational process in computer-based instruction and distance education. New Directions for Teaching and Learning (78).

Kirk, K. (2011). Motivating Students. Cutting Edge.  Retrieved  on <2/24/11> from http://serc.carleton.edu/NAGTWorkshops/affective/motivation.html

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

Fitting the Pieces Together

Fitting the Pieces Together

            Seven weeks ago when I began this course I had a fairly good understanding of different learning theories and learning styles.  I knew that it was important to differentiate teaching to accommodate all learners.  After spending the last six weeks researching, analyzing, and interpreting my knowledge has evolved to accommodate my new learning.  I’ve learned that through Gardner’s multiple intelligences my strengths are logical-mathematical, bodily kinesthetic, spatial-visual, interpersonal, and intrapersonal.  My weaknesses can be found in linguistic and musical categories.  Using Gardner’s multiple intelligences to evaluate your personal learning style allows you to understand how to modify learning to your advantage.  After taking Gardner’s Multiple Intelligence Test I found that my own knowledge of learning confirmed I like to learn in ways use analytical thinking skills, hands-on experiences, images, relating to others, and reflecting on my own learning and personal experiences.  “Given a specific instruction method or environment, some people will learn more effectively than others due to their individual learning style. However, this may not be the case throughout a course or a specific lesson. Learning styles actually fluctuate within subject or lesson” (Gilbert, & Swanier, 2008).

            Over the past several weeks I’ve learned about multiple learning theories and learning styles.  As I was learning about each I tried to visualize how I would use that particular theory in my learning. “Learning styles are approaches to learning and studying. Keefe defined learning styles as characteristic cognitive, affective, and psychological behaviors that serve as relatively stable indicators of how learners perceive, interact with or respond to the learning environment” (Gilbert, & Swanier, 2008). Learning styles are often influenced by heredity, previous experiences, and current environment (Gilbert, & Swanier, 2008).   The learning theories that most resonated with me were the constructivist theory, social learning theory, connectivism, and adult learning.  Each of these theories allowed for me to create a connection between them.  All four seem to easily intertwine and focus on a key theme; reflecting on prior knowledge, communicating with others, and drawing conclusions.   As an instructor it is “almost impossible to identify each student’s learning style and it is an impossible task to accommodate everyone’s learning style in a classroom environment” (Gilbert, & Swanier, 2008).   

            “For several decades electronic technology has made an impact on every aspect of society and culture” (Semple, 2000).  “Computers make it possible to access huge amounts of information and communication over great distances can occur almost immediately” (Semple, 2000).   Technology plays one of the most important roles in my learning.  Without the use of technology I would not be able to easily connect with my existing networks.  Each week I spend countless hours researching information for discussion posts, communicating with colleagues, and connecting with family members across the nation. 

References

Gilbert, J., & Swanier, C. (2008). Learning styles: How do they fluctuate? Institute for Learning Styles Journal [Vol. l]. Retrieved from http://www.auburn.edu/~witteje/ilsrj/Journal%20Volumes/Fall%202008%20Volume%201%20PDFs/Learning%20Styles%20How%20do%20They%20Fluctuate.pdf

Connectivism

Connectivism

            Connectivism is a theoretical framework for understanding learning. In connectivism, the starting point for learning occurs when knowledge is actuated through the process of a learner connecting to and feeding information into a learning community. (Kop & Hill, 2008).

            This week’s assignment was to create a mind map to show our own learning networks.  My mind map project helped to show me the complexity of learning and how I connect things such as the environment, culture, and past experience and so forth within my network, and how technology ties it all together.

            In today’s changing society, information is always changing.  The information that a person acquires today may be different tomorrow.  As adults, we automatically consider these changes and adapt our current knowledge to new knowledge.  Everyone is unique and learns in various ways, because of this, there is no best way of learning.  No one particular learning theory is better than another (Fenwick & Tennant, 2004). Learning is blended and constant (Fenwick & Tennant, 2004).  There is no such thing as generic ‘adult learner’ who can describe in ways that accurately and responsibility portray the myriad differences between people and the changes they experience (Fenwick & Tennant, 2004).  Just like anything else that involves human experience or interaction, the act of learning does not happen in a vacuum. It is at the intersection of prior knowledge, experience, perception, reality, comprehension, and flexibility that learning occurs. (Davis, Edmunds, & Kelly-Bateman 2008). The context of a person’s life with its unique cultural, political, physical, and social dynamics influences what learning experiences are encountered and how they are engaged (Fenwick & Tennant, 2004). My network has changed the way I learn because it challenges me to ask questions when I’m unsure about something, think critically when asked to provide a solution to a problem, be open to the view points of others, and to be diverse in technology. 

            Technology plays a very important role in my learning.  I spend hours on a computer each day researching the internet and communicating with colleagues and family members across the nation.  New technology and software has been my life-saver with various projects for grad school and preparing lessons for my students.  When trying to solve problems I use several different networks, such as technology, social networks, and opinions of colleagues and friends to form my own outcome for the problem. 

            New technology forces today’s learner to process and apply information in a very different way and at a very different pace from any other time in history (Davis, Edmunds, & Kelly-Bateman 2008). With today’s technologies and information changing so rapidly, forming networks and learning communities provide learners with quick access to share knowledge or find information that is needed at any given time. 

References:

Davis, C, Edmunds, E, & Kelly-Bateman, V. (2008). Connectivism. In M. Orey (Ed.), Emerging perspectives on learning, teaching, and technology. Retrieved <2-4-11>, from http://projects.coe.uga.edu/epltt/

Fenwick, T., & Tennant, M. (2004). Understanding Adult Learners. In G. Foley, Dimensions of adult learning: Adult education and training in a global era. McGraw-Hill Education.

Kop, R., & Hill, A. (2008). Connectivism: Learning theory of the future or vestige of the past? International Review of Research in Open & Distance Learning , 1-13.

Connectivism

Information Processing and Problem Solving Methods

          The human brain is an incredibly complicated information processing system that allows humans to perform everyday functions and to learn about their surrounding environments. The brain is a very complex organ and the control center for our bodies. The brain sends and receives electrical and chemical transmissions that allow our bodies to partake in everyday tasks. These messages travel through the central nervous system to the brain. Our brain is divided into several different interworking parts, each having its own job, or task (Ormrod, Schunk, & Gredler 2009). The cortex is responsible for many things including, language, attention, problem solving, learning strategies, temperature, pain, visual information, auditory and speech information (Ormrod, Schunk, & Gredler 2009).   Two theories that can help educators understand how the brain processes information are the information processing theory and brain based learning, a problem solving technique.

          The information processing theory refers to how the human brain decides how to respond to a certain stimulus.  The information processing theory’s main focus is on memory.  Our memory is in control of processing, retaining, and retrieving information. Our memory can also be broken down into three parts, sensory, short term, and long term memory (Huitt 2003).

          The sensory memory, this is where the stimulus is received through one of the five senses: sight, taste, sound, touch, or smell.  Sensory memory retains the brief impression of a sensory stimulus after the stimulus itself has ended. The sensory memory holds information in the form in which it receives, visual in visual form and auditory in auditory form.  If the information that is in the sensory memory needs to be stored it must be encoded then sent to the short term memory.

The second level is short-term memory, which is also called the working memory, and relates to anything we are thinking about at any given time. The short term memory has two limits; one, it can only hold information for about fifteen to twenty seconds, but the information can be available to up to twenty minutes. Secondly, the short term memory can only process a small number of units or information at a time.  Retaining information in the short term memory can be broken into two parts:  organization and repetition.  Organization can be categorized into four major parts: component, sequential, relevance, and transitional.  Repetition is a technique that most people try to learn something new such as simply restating information over and over.  This form of memorization does not lead to learning.  

The last level of memory is our long-term memory. The long term memory stores information and is available for retrieval. If information is stored within the long-term memory it is less likely to be forgotten (Ormrod, Schunk, & Gredler 2009).  The long-term memory is also called the preconscious and unconscious memory.  Preconscious means that the information can be easily recalled within minutes or hours.  The unconscious refers to information that is not available during normal consciousness (Huitt 2003). There are two processes most likely to move information into long term memory, elaboration and distributed practice (Huitt 2003).  Some examples of elaboration are imaging, making connections, rhyming schemes, songs, and acrostic poems.  These examples are commonly used in the teaching and learning process. 

A second learning theory that would be valuable to educators is brain based learning.  Brain based learning is a new approach to instruction using current research from neuroscience. The objective of brain-based learning is to move from memorizing information to meaningful learning (Caine & Caine 1990).   Normally you will hear people say, everyone can learn, when in fact everyone does learn.  Everyone just learns in different ways.  Educators who are aware of current research on how the brain functions and learns will gain an insight about conditions and environments that can optimize learning. The Brain-based learning theory has twelve basic principles for brain based learning. According to Renate and Geoffery Caine the core principles of brain-based learning state that:

1. The brain is a parallel processor, meaning it can perform several activities at once, like tasting and smelling.
2. Learning engages the whole physiology.
3. The search for meaning is innate.
4. The search for meaning comes through patterning.
5. Emotions are critical to patterning.
6. The brain processes wholes and parts simultaneously.
7. Learning involves both focused attention and peripheral perception.
8. Learning involves both conscious and unconscious processes.
9. We have two types of memory: spatial and rote.

10.We understand best when facts are embedded in natural, spatial memory.

11.Learning is enhanced by challenge and inhibited by threat.

12.Each brain is unique.

Learning is influenced by the natural development of the body and brain (Caine & Caine 1990).  Not all students of the same age have the same learning capacities. Judging students by age is inappropriate and should be based on their previous knowledge.  All students should be challenged in order to satisfy the brain’s hunger and curiosity. The challenges should be meaningful and creative to the students to enhance learning. 

Using the twelve basic core principals of brain based learning; learning should be fostered with emotional support between student and teacher.  Good teaching builds understanding and skills over time.  It’s important for teachers to understand that each hemisphere of the brain is connected and will work together to organize information.   If a hemisphere is neglected while teaching, a person can have difficultly learning. Since each side of the brain is stimulated by different things such as light, noise, visuals, and music, a teacher should engage the interests of students into the lessons to make them more meaningful and easier to remember.  Teachers should use “active processing” to allow students to review what they have learned so they can begin to take charge of their own learning (Caine & Caine 1990).  Having students memorize facts instead of processing the skill needed to compute the skill will interfere with the development of understanding a concept.  Education is enhanced when it is shaped by the internal processes and social interaction.  Success depends on making use of all the senses by immersing the learner in a multitude of complex and interactive experiences.  (Caine & Caine 1990).  Teachers should create a learning environment that provides low threats and high challenges to maximize learning.  As educators knowing and understanding that that each brain is unique, the more students learn, the more unique they become.  Teachers should allow students to be unique in express their preferences when learning.  Learning choices should be varied to accommodate multiple intelligences in order to facilitate optimal brain functioning.

The resources that were used in this week’s blog post have been valuable in my understanding of Brain processing theories and problem solving methods during the learning process. The article provided by Huitt provided resources on information processing theory and our memory.  The article published in Educational Leadership, written by Caine and Caine provided a new theory on problem solving methods using brain based research.  These resources would be valuable for any educator to understand how the brain processes and retains information. 

References

Caine, R., & Caine, G. (1990). Understanding a brain-based approach to learning and teaching. Educational Leadership, 48(2), 66. Retrieved from EBSCOhost.

Huitt, W. (2003). The information processing approach to cognition. Educational Psychology Interactive. Valdosta, GA: Valdosta State University. Retrieved [1/13/11] from http://www.edpsycinteractive.org/topics/cogsys/infoproc.html

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

Blogging and Instructional Design

This week’s reading materials were based on learning theories and the learning process.  The assignment was to bookmark three useful blogs or newsletters we felt would have relevant content as we proceed in the instructional design field.

Shirley A. Gable speaks about online learning, memory, and aging in her June 21, 2010 blog.  She notes that critical thinking must take place about information that is presented within a new course not just memorize the information for recall later. Gable states, “Memorization rarely leads to actual learning. In order to learn something well enough to recall it later, you must think about newly learned knowledge in a way that is meaningful to you personally.” When studying the cognitive theory the memory plays a role in learning, “learning takes place when information is stored in memory in an organized, meaningful, manner” (Ertmer and Newby). She also states the importance of being proactive in your learning and going out of your way to discuss newly learned information with a colleague (Gable, 2011). 

Cathy Moore’s Blog focuses on creative elearning.  Cathy has used technology for more than 25 years to encourage and strengthen people with instructional design skills and has written elearning for businesses.  Within her blog you can comment and ask questions and she provides almost immediate feedback. Cathy’s post Learning styles: Worth our time? on September of 2010, focusing on each learning style is worth the time to research.  This post is supported by works from psychologist Harold Pashler, Mark McDaniel, Doug Rohrer, and Robert Bjork. In the article, Concepts and Evidence, they concluded that literature fails to provide significant support for applying learning style assessments in education. This brings a question to mind, is there a single best approach or one that is more effective than others? According to Ertmer and Newby, “Learning is strongly influenced by many factors from many sources; the learning process itself is constantly changing, both in nature and diversity.”

Not only does Cathy’s blog focus on instructional design, but she has multiple topics relating to elearning and motivation.  Cathy provides superb feedback to each of her bloggers.  Her posts are unique and enduring. Her blog can be used throughout the field of instructional design because of her unique and motivating ideas. 

Training Magazine is a resource for business professionals with research based studies and articles for leadership, human resources, and training. The April issue of 2009 has an article entitled, Head First.  Head First gives a detailed look at why some lessons get absorbed and other lessons seem to be washed down a drain.  Many businesses today have many different types of learners employed, “Some of our people prefer things such as podcasts, vodcasts, and Webinars on a just-in-time basis rather than more traditional methods” (Training 2009).  On the other hand, “many learners still prefer classroom instruction for certain types of training, particularly when it comes to skills that require practice” (Training 2009).  Allowing learners a hands-on approach keeps them challenged, engaged, and motivated throughout a training.

 The current issues of Training provides information about upcoming trainings and seminars that are approaching, motivational articles to help with training and motivating employees, and current data on training expenditures within the workforce today.  This site can be used as an ongoing resource throughout the field of instructional design because of the training techniques and motivational articles found within the magazine. 

References:

Ertmer, P. A., & Newby, T. J. (1993). Behaviorism, Cognitivism, Constructivism: Comparing Critical Features from an Instructional Design Perspective Performance Improvement Quarterly. 6(4) 50-72.

Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning Styles: Concepts and Evidence. Psychological Science in the Public Interest, 9(3), 106-119.

Weinstein, M. (2009, June 9). Head First. Training, 20-23.