Tuesday, June 18, 2013

Generational Differences and Our Instructional Responsibility


Generational Differences and our instructional responsibility

Before reading “ Digital Natives, Digital Immigrants” by Marc Presnsky and “Do Generational Differences Matter in Instructional Design?” by Professor Thomas C. Reeves, it would be an understatement to claim how ignorant I was to this hotly contested topic. I truly had no idea such a feverish debate has been in the heads of scholars and writers in the world of educational technology. I guess it surprises me that the debate is so fierce. I understand positions arguing against the generalities and vague claims Marc Prensky makes in his writing.  For instance, “There are hundreds of examples of the digital immigrant accent. They include printing out your email, needing to print out a document written on the computer in order to edit (rather than just editing on the screen)” (Prensky, 2001).  Well according to this logic, I am a digital immigrant, however based on his timeline of whom he considers digital natives; his stereotypes of me can also be found.  I have grown up with video games, cell phones, tablets, and technology induced multimedia.  I also print out documents from my computer to proof read. It is my personal preference, so how does this make me a digital immigrant?  While I can argue his writing is less than ideal from an academic standard, I cannot argue that there are in fact some valid statements from my point of view in his article.  I like the simplicity of the definition he gives what a digital native is.  “Our students today are all “native speakers” of the digital language of computers, video games, and the internet”. I agree, for those fortunate enough to grow up in a household that can offer their children and teenagers access to technology that these students flow from device to device with an ease that experts have, and are truly early adopters. I can visualize his definition of digital natives with faces of former students even.  Where he lost me was when he labeled “all” students as native speakers.  For one thing, the definition of a student is incredibly broad.  For example, let me introduce to you Bob.  Bob worked at a local CD printing plant for thirty-seven years.  If we were to use the distinguishing generational guidelines of Baby Boomers, Millennial and so on, Bob would be classified as a Baby Boomer.  When that local factory laid-off five hundred employees, Bob found himself as part of the downsizing. The workers were given a tuition plan that involved going back to school to learn a trade or venture into a new career.  Now Bob finds his way into my classroom, a classroom that is a hybrid of educational technology and traditional lecture. Mr. Prensky, Bob is a student would you not agree?  He did not play Super Mario or Legend of Zelda.  He has watched cell phones evolve from being located in your car, a bag, and finally its very own freestanding device. He has observed all of this unfold from a distance without taking part in the technology.  Bob is a digital immigrant, but a student nonetheless.  We can label him anything we want based on his generation, but during any period of his life he can still fit the definition of a student and a learner. So I would argue we be careful when labeling such a broad definition of “all” students, as Mr. Prensky does. It is clear not “all” students are k-12 or traditional college students.

 “Digital Immigrant teachers assume that learners are the same as they have always been and that the same methods that worked for the teachers when they were students will work for their students now”. (Prensky, 2001). During my academic career at the Pennsylvania State University, I can say based on experience with the exception of three professors for four years, every class had a similar set up: reading from the text, text examples, and then an exam. My problem with claiming this as an academic wide issue is that I can only vouch for one university, one program, and that programs professors that I specifically had.  To group all professors as digital immigrants without proper research or statistics to back it up is again unfair to worldwide academics. 

                Let us fast forward to Bob’s last day of classes and his graduation with an associate’s degree.  Baby Boomer Bob now has an online resume, blog, Facebook, and RSS feed tied into all topics criminal justice.  While he was a digital immigrant like all of us have to be at some point or another, he still was very much entitled to the instruction and education all students should receive regardless of what they are brought up with, or the digital toys they learn on.  My problem with the thought process of labeling students and people like Bob as digitally incompetent or competent, is that thought process could map out how we approach educating Bob.  Imagine, if because he was a nontraditional student with a certain time period of birth he had a tailored curriculum based on what the opinion of his abilities were? What if in his academic career, he only had to take introduction to computers and that was it?  Bob became technological capable because we have not classified students, because we helped him bridge the gap with technology, as any good educator should. We helped him find his digital talents with a structured curriculum that benefits all students’ natives or immigrant.  Twenty percent of households are still without an internet connection ("Household internet usage," 2012) so how can we paint such an expansive landscape of what a Post Millennial, GenMe,  and the Digital Native student is, if the facts themselves are still developing.  My final concerns regarding these two readings are they try to paint an exact image and argue for an exact image of what students are and how they learn.  There is no such thing.  Sure, you can generalize what a Baby Boomer’s work ethic is and how he might learn in a given environment, but as long as there are exceptions to the rule, tailoring instructional design to support a specific demographic based and their “generation” is almost as bad as basing instructional design on whether a student is a boy or girl.  When the Silent Generation, Boom Generation, 13th Generation, and Millennial Generation sit in a classroom, they are all students, and like any classroom, they all have a unique set of needs, disadvantages, advantages, experiences, and learning styles.  Educators should design instruction to meet all learning style, whether it’s using technology to benefit them all, or not using technology  because using it just to use it can be counterproductive, the truth remains they are all still “students”.  

The beauty of being able to write this as part of a class exercise and a blog is I am not bound by the code of academic journals. I can freely use my opinion without the painstaking research that goes in to referencing other academic journal to support how I feel about the topic.  Again, I can only share my opinion. That opinion is simple. Do generational differences matter in instructional design? Yes, I believe they do, because they help us understand what truly matters most, the student.  Should we tailor instructional designed based solely on generational differences? Absolutely not.  In the words of an 83-year-old woman (yes I asked her age after our conversation), I sat next to on a mall bench once. “Do you follow Connan O’Brian on twitter?  He is absolutely hilarious, he just sent this picture to his followers of a kitten with its head in a piece of bread, I just love my phone for this stuff,” She said. Now I realize digital immigrants can always learn to benefit and enjoy technology the same as natives.

 
 

REFRENCES

Reeves, T. C. (2007). Do generational differences matter in instructional design. Manuscript submitted for publication, Department of Educational Psychology and Instructional Technology, The University of Georgia, Athens, GA, Retrieved from http://it.coe.uga.edu/~treeves/

Prensky, M. (2001). Digital natives, Digitial Immigrants. On the Horizon, 9(5)

U.S. Census Burea, (2012). Household internet usage (nformation and Communications 723). Retrieved from website: http://www.census.gov/compendia/statab/2012/tables/12s1155.pdf

 

 

 

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