Archives For DLL

LearningWordle
Image source: http://epltt.coe.uga.edu/images/4/4c/IntroWordle.png

History of Learning Theories site highlighted in the video – https://kb.edu.hku.hk/learning_theory_history/

If you run a quick google search on the phrase “main learning theories” the results will reveal that there is inconsistency in what people agree are the main learning theories. You will also find that many sources will shift their perspectives on learning theories. For example back in 2016 when I first wrote this post, United Nations, Educational, Scientific and Cultural Organization (UNESCO) which should be considered an authority listed the following 7 learning theories:

  • Behaviorism
  • Cognitive Psychology
  • Constructivism
  • Social Learning Theory
  • Socio-constructivism
  • Experiential Learning
  • Multiple Intelligence
  • Situated Learning and Community of Practice
  • 21st Century Learning or Skills

When I updated this post in November of 2021 UNESCO revised their original list and now lists the Most influential theories of learning as:

  • Behaviorism
  • Cognitive Psychology
  • Constructivism
  • Social constructivism
  • Experiential Learning
  • Multiple Intelligence
  • Situated Learning theory
  • Community of Practice

While the changes are small, combining Social Learning Theory and Socio-Constructivism into what is now called Social Constructivism, lifting Situated learning to the level of a theory, removing 21st Century Learning or Skills and, moving Community of Practice into a separate category these changes reflect a shift from a contemporary or postmodern epistemological interpretation to a critical theory narrative.

Relationships of Dimensions of Teaching and Orientations to Learning & Learning-approaches-principles-and-theories Tables used in the above video.

Wikipedia points to Behaviourism, Cognitivism, and Constructivism as the main theories but also points to a wide assortment of related links. Learning-theories.com which was once a scholarly project but has now turned into an add riddled site suggests that there are the following 5 major paradigms which the different learning theories fall under:

  • Behaviorism
  • Cognitivism
  • Constructivism
  • Design-based
  • Humanism
  • 21st Century skills

Depending on the theoretical preference of the author(s) and when the site you land on was originally written or last updated you will find many of the theories from the lists above.

Back in the late 90’s when I was researching learning theories for my doctoral thesis and in 2003 when I taught my first graduate course on learning theories most texts and literature pointed to the following as the main theories:

  • Behaviorism
  • Cognitivism
  • Humanism

Today the term Humanism is seldom used in the learning theory context and Constructivism has been pulled out of the Cognitive camp to stand on its own. Design is involved (or at least it should be) in most theories so I fail to see how this is a learning theory itself. Similarly, 21st Century learning is much more of a popular phrase of the day and since one could argue that all learning happening today is in the 21st Century, this really isn’t a learning theory.

Therefore, I suggest that the primary learning theories today are:

  • Behaviorism
  • Cognitivism
  • Constructivism

But which list is accurate? Perhaps a more important question is why is an understanding of learning theories important? The following four key points should serve as a good start for why understanding learning theories is so important:

1. Knowing what you really believe about learning is important because this foundational belief should drive the way you create significant learning environments and the way you engage learners.

2. Knowing that your beliefs about learning are supported by evidence and are shared with others should give you the confidence to move away from the role of sage on the stage to guide on the side as you give your learners more choice, ownership, voice, and authenticity (COVA) in their learning experiences.

3. Knowing the full breadth of the learning theory or theories where your beliefs about learning fall will help you to analyze, assess, and choose the appropriate technologies that can not only fit the needs of your learners but enhance the learning environment.

If we don’t choose to take a proactive approach to understand what we fully believe about learning and purposefully design the learning environment, we choose to follow tradition. As Christopher Knapper warns there are consequences to blindly doing what has always been done:

…there is an impressive body of evidence on how teaching methods and curriculum design affect deep, autonomous, and reflective learning. Yet most faculty are largely ignorant of this scholarship, and instructional practices and curriculum planning are dominated by tradition rather than research evidence. As a result, teaching remains largely didactic, assessment of student work is often trivial, and curricula are more likely to emphasize content coverage than acquisition of lifelong and life-wide learning skills. (2010, p. 229)

Understanding what we believe about learning has never been more important. We are living in the age where we no longer are asking if we should use technology to enhance learning but are asking how well are we using technology to enhance learning. Tony Bates has spent decades researching how to use technology to enhance learning and in his post Learning theories and online learning he points to the fundamental role the understanding of theories of behaviorism, cognitivism, and constructivism play in online learning and more importantly reminds us that our thinking must continually evolve as these theories evolve. Bates also reminds us that we need to be open to new theories as these new and old learning theories evolve we must move from theory to practice. We need to be flexible enough to adapt and grow in our thinking about learning to develop effective learning environments that meet our learner’s needs.

This flexible and eclectic approach to understanding and adopting learning theories have driven my thinking about learning since the late 90’s when I developed Inquisitivism which is an approach for designing and delivering web-based instruction that shares many of the same principles of minimalism and other constructivist approaches. Being eclectic in my thinking about learning theories has enabled me to not limit my understanding of learning to one system but I have continually considered and selected the best elements from all systems.

Putting this in the 21st Century vernacular one could argue that I prefer the mashup theory of learning because creatively combining and mixing the best elements of learning theories is the best way to address the needs of 21st Century learners. Don’t assume that my mashup theory of learning is just a willy-nilly approach to being pragmatic. On the contrary, the quality of a mashup is totally dependent upon the quality of its components—remember I am continually selecting and mixing the best elements.

This finally takes me to my fourth key point why understanding learning theories is so important.

4. The better you know and understand specific learning theories the better able you will be to select the best elements from all the theories which will help you to mashup the most effective learning environment.

Regardless of where you land in your thinking about learning the fact that you are thinking about learning and how learning works means that your learners will benefit. When we strive to create significant learning environments we can all agree that it’s about the learning.

References

Knapper, C. (2010) ‘Changing Teaching Practice: Barriers and Strategies’ in Christensen Hughes, J. and Mighty, J. eds. Taking Stock: Research on Teaching and Learning in Higher Education Toronto ON: McGill-Queen’s University Press

Originally posted on March 11 and revised on November 10, 2021

Difference between the Digitial Learning & Leading (DLL) and Applied Digital Learning (ADL) programs

M.Ed. Digital Learning & Leading (DLL) Applied Digital Learning (ADL)
Name & Emphasis Digital Learning & Leading is a collaborative learner-centered program that embraces technological innovation through collaboration and active and authentic learning that will prepare learners to create meaningful change. Innovative technologies are used as catalysts to enhance learning and when effectively employed, the technology disappears into the learning environment. This online program is designed to develop both digital learning knowledge and leadership. The emphasis on digital learning and leading from the DLL is maintained in the ADL. The shift in using the notion of “applied” is to emphasize Applied Learning which is an active and collaborative process in which learners apply knowledge and skills gained from theory, hands-on experience, and authentic learning opportunities. What differentiates ADL from the DLL are the increased emphasis of assessment as learning and critical reflections on the application of analysis, evaluation, in the creation of significant learning environments.
Program Length 12 courses for 36 credit hours 10 courses for 30 credit hours
Course Length 5-week courses

Since the start of the program, all courses in the DLL have been continually and incrementally updated. Mid-term diagnostics feedback surveys conducted in each course revealed the most important need was additional time to enable deeper learning.

8-week courses

The course content from the DLL is was used as a foundation and updated. No new content was added. The increased time was added to enable learners to go deeper into their analysis, evaluation, and creation of their authentic learning opportunities. 

Program Completion The DLL program is typically completed in 18 -24 months. Due to the intense 5-week duration, students are allowed to complete one course at a time.  The ADL program can be completed in one year because students have the option of taking 2 courses at a time. Students also have the option of doing one course at a time and doubling up on courses when their schedules allow. 
Discussions & Collaboration Discussion forums are used in the DLL to foster collaboration and to provide a forum for students to help each other with their innovation projects. Discussions are monitored by instructors and contributions evaluated using a metric that combined the quantity and quality of participation.  Discussion forums are used in the ADL to foster collaboration and to provide a forum for students to help each other with their innovation projects. Evaluation of collaboration shifts from the instructor to the student. Self-evaluations are based on an assessment as learning model where students self-assess their contribution to their own learning and to that of their core learning community.

Musician to Physician

A recent CBC news post reveals that Memorial University of Newfoundland (MUN), as well as other Canadian universities, have discovered that a musical background is a good predictor of success for medical students. Why? Constant, continual improvement is central to being a musician and this skill is crucial and transferable for future physicians. The study of music helps the learner to:

  • Avoid complacency
  • Constantly reassess what you are doing
  • Reflect on how to continually get better

Doctors have to continually reflect on how they can improve and continually get better especially if they are surgeons.

This post also confirms the research on deliberate practice by Anders Ericsson. According to Ericsson (2016), deliberate practice is much different than traditional practice because instead of just doing the same thing over and over again the learner focuses on the continual pursuit of personal improvement that is directed by well-defined, specific goals and continuous feedback that drives incremental gains. A skill or ability that a person is working towards is broken down into small enough components where feedback on the performance is used to help the learner make small adjustments that will lead to incremental improvements. The feedback can come from a teacher, mentor, or coach who observes where the adjustments need to be made. The continuous feedback can also come from peers, video, timing devices and other technologies that can provide the learner data that helps map their progress. As the learner gains experience and expertise they can also are able to see where they need to make the adjustments themselves—this is one of the key differences between amateurs and experts.

Another key aspect of deliberate pracitices is that the learner must constantly practices outside their comfort zone. Just far enough to push the boundries but not so far to cause fear and immeidate failure. This is where a few percentage points of pushing the boundry can cointribute the continous incremental gains that are so important to improvement. These incrimetnal gains can add up over time to enable one become an expert. Ericsson’s research into how long it takes one to become an expert was miscontrued and popularized by Malcom Gladwell in his 2008 book Outliers: The Story of Success where he posited the10,000-Hour Rule. Gladwell suggested that the key to achieving world-class expertise in any skill simply practicing the correct way, for a total of around 10,000 hours. Ericsson refuted Gladwell’s claims and pointed out that in some disciplines expertise can be achieved in as short as 5,000 hours and in other,s true expertise is achieved in over 20,000 hours. Furthermore, attaining the level of expertise is only the beginning because the world’s best continue their discipline of deliterate practice throughout their tenure of being at the top of their field. Regardless of how much time is conmitted, the key is deliberate practices with continual feedback that leads toward incremental gains.

Getting back to the story about musicians becoming good physicians because of their ability continually improve it is important for us to understand as educators are that there has to be a purpose for one to commit years of deliberate practice. Whether it is to become a Chessmaster, a world-class musician, a world-class athlete or to be the leader in a particular field the drive toward this end goal only happens if the goal is real world or authentic.

It takes real world or authentic learning opportunities to provide the context for learning and to drive the intrinsic motivation for the learner to persist in making those continuous incremental improvements over time. This is why it is so important as educators to recognize we must not only prepare our learners for the test but we need to prepare them for life. We can do so by creating a significant learning environment in which we give our learners choice ownership, and voice through authentic learning opportunities – the CLSE+COVA framework.
We need to continually ask – are we preparing them for the test or are we preparing them for life.

Additional posts exploring deliberate practice:

References

Ericsson, A., & Pool, R. (2016). Peak: Secrets from the new science of expertise. New York, NY: Eamon Dolan/Houghton Mifflin Harcourt.
Gladwell, M. (2008). Outliers: The story of success. New York: Little, Brown and Co.