This week, Jenn and I dug a little deeper into our examination of the processes that underlie the transition from novice to expert through our reading and discussion of the following articles:
Laird, T. F. N., Seifert, T. A., Pascarella, E. T., Mayhew, M. J., & Blaich, C. F. (2014). Deeply Affecting First-Year Students’ Thinking: Deep Approaches to Learning and Three Dimensions of Cognitive Development. Journal of Higher Education, 85(3), 402–432. [Read here]
Perkins, D. N., & Salomon, G. (1989). Are Cognitive Skills Context-Bound? Educational Researcher, (1), 16. [Read here].Salomon, G., & Perkins, D. N. (1987). Transfer of cognitive skills from programming: When and how? Journal of Educational Computing Research, 3(2), 149–169. doi:10.2190/6F4Q-7861-QWA5-8PL1
- A depth of general knowledge is useful in creating local or disciplinary knowledge. But not in all cases!
- We must plan lessons carefully if we hope to optimize the chances that students will tranfer knowledge into other domains (and be explicit about the idea of transfer).
- Repetition of tasks prepares a student for “low road transfer” of knowledge into similar situations (e.g., driving a car allows transfer of knowledge about driving when you sit behind the wheel of a truck), and this will happen without a great deal of deliberate thought about this transfer.
- The affect or emotional response a student brings to the learning process can be a critical factor in helping her move along the continuum from novice to expert successfully.
Perhaps this quote from Perkins and Salomon (1989) best sums up the role and importance of both general and discipline-specific knowledge within the context of transfer and expertise:
To the extent that transfer does take place, it is highly specific and must be cued, primed, and guided; it seldom occurs spontaneously. The case for generalized, context-independent skills and strategies that can be trained in one context and transferred to other domains has proven to be more a matter of wishful thinking than hard empirical evidence…Local knowledge, more than general problem-solving heuristics, appeared to be the bottleneck.