Group items tagged

Those who want to understand the ideas in the book may want to note the title; it’s no coincidence that Blum wrote about college “culture,” and not “ethics” or “morality.” And while she did use “plagiarism” in the title, she faults colleges and professors for failing to distinguish between buying a paper to submit as your own, submitting a paper containing passages from many authors without appropriate credit, and simply failing to learn how to cite materials. Treating these violations of academic norms the same way is part of the problem, she writes

In terms of explaining student culture, Blum uses many of the student interviews to show how education has become to many students more an issue of credentialing and getting ahead than of any more idealistic love of learning.

as Horton and Freire (1990) argue, "If the act of knowing has historicity, then today’s knowledge about something is not necessarily the same tomorrow. Knowledge is changed to the extent that reality also moves and changes. . . . It’s not something stabilized, immobilized"

The traditional method of expert translation of information to knowledge requires time: time for expertise to be brought to bear on new information, time for peer review and validation. In the current climate, however, that delay could make the knowledge itself outdated by the time it is verified (Evans and Hayes 2005; Meile 2005). In a field like educational technology, traditional research methods combined with a standard funding and publication cycle might cause a knowledge delay of several years.

Alec Couros’s graduate-level course in educational technology offered at the University of Regina provides an ideal example of the role social learning and negotiation can play in learning (Exhibit 3). Students in Couros’s class worked from a curriculum created through their own negotiations of knowledge and formed their own personally mapped networks, thereby contributing to the rhizomatic structure in their field of study. This kind of collaborative, rhizomatic learning experience clearly represents an ideal that is difficult to replicate in all environments, but it does highlight the productive possibilities of the rhizome model (Exhibit 4).