One of the issues that we are trying to get at with dual-layer/customizable pathways design is that human beings are individuals with different needs and ever-changing preferences.
That seems to be an obvious statement to many, but a problematic one when looking at educational research. Or more correctly, how we use and discuss research in practical scenarios.
For example, when ever I mention how instructivism and connectivism can also be looked at as personal choices that individual learners prefer at different times, the response from educators is usually to quote research generalizations as if they are facts for all learners at all times:
More advanced learners prefer connectivism.
People that lack technical skills are afraid to try social learning.
Learners with higher levels of self-regulation hate instructivism
Students that are new to a topic need instructor guidance.
Student-centered learning makes learners think more in depth.
While many of these statements are true for many people, the thing we often skip over in education is that these concepts are actually generalized from research. It is not the case that these concepts are true for all learners, but that they have been generalized from a statistically significant correlation. That distinction is important (and often ignored) – because studies rarely find that these concepts are 100% true for 100% of the learners 100% of the time.
But practitioners typically read these generalizations and then standardize them for all learners. We lose sight of the individual outliers that are not included in those numbers (and even of the fact that in the data there is variations that get smoothed over in the quest for “generalization”).
Then, of course, we repeat those experiments with different groups and rarely check to see if those outliers in the new experiment are different types of people or the same.
We also rarely research courses where learners have true choice in the modality that they engage the course content, so do we ever truly know of we are finding the best options for learning in general, or if we are just finding out what learners will do to make the best out of being forced to do something they would rather not?
Are we losing sight of the individual, the unique person at the center of educational efforts?
My research is finding that, when the given freedom to choose their learning modality (instructivism or connectivism), learners stop falling into such neat categories that often comes out of research. For example, those that are advanced learners with high self-regulation and well-developed tech skills will sometimes prefer to follow an instructivist path for a variety of reasons. Or, for another example, sometimes learners have already thought through an issue pretty well, and therefore forcing them to go through student-centered learning with that topic is a boring chore because they don’t need to be forced to think about it again. Or. for even another example, some learners with low self-regulation and low tech skills will jump head first into connectivism because they want to interact with others (even though the research says they should have been too afraid to jump in).
When you actually dig into the pathways that individuals would choose to take if one is not forced on them, those individuals tend to defy generalization more often than expected. But when you point this out, the establishment of education tends to argue against those findings all kinds of ways. We like the comfort of large sample sizes, generalizable statistics, and cut and dry boxes to put everyone in. I’m not saying to abandon this kind of research – just put it in a more realistic context in order to make sure we aren’t losing the individual human behind those generalizations.
Matt is currently an Instructional Designer II at Orbis Education and a Part-Time Instructor at the University of Texas Rio Grande Valley. Previously he worked as a Learning Innovation Researcher with the UT Arlington LINK Research Lab. His work focuses on learning theory, Heutagogy, and learner agency. Matt holds a Ph.D. in Learning Technologies from the University of North Texas, a Master of Education in Educational Technology from UT Brownsville, and a Bachelors of Science in Education from Baylor University. His research interests include instructional design, learning pathways, sociocultural theory, heutagogy, virtual reality, and open networked learning. He has a background in instructional design and teaching at both the secondary and university levels and has been an active blogger and conference presenter. He also enjoys networking and collaborative efforts involving faculty, students, administration, and anyone involved in the education process.