Ethics & the Internet of Things

The ‘Internet of Things’ Faces Practical and Ethical Challenges

Opening scene, Carnegie Mellon professor asking his IoT-connected device if he has time to get coffee: example of outsourcing of knowledge, our decision-making power to a machine, reminiscent of many of the ideas put forth by Nicolas Carr in The Shallows.

Carnegie Mellon received Google seed funding to work on Internet of Things (IoT) project  putting tiny network-connected nodes in all sorts of items/devices across campus: cafes, offices (if opted in), public spaces, etc. IoTs have begun in other places like Songdo, South Korea where “street lamps adjust their brightness according to the number of pedestrians in the area”.

“Along with enthusiasm, the concept of the Internet of Things has drawn criticism from cyber­security experts and others for the privacy concerns it raises.” And potentials to abuse such a network.

Uh, yeah

Article ran 10/23 – DoS attack on Dyn DNS provider was 10/21.

In terms of privacy, “for the most part, people have to take action to ensure their privacy.” First you would need to even be aware that info was being collected at all, which most people are not. And in other instances, you cannot opt out data collection unless your device is turned off.

Why does a college campus need this level of connectivity (AKA surveillance)? Why do we need to be able to outsource knowledge and decision making about where to park or whether or not we have enough time to get coffee? Do we really need a level of control over our lives to the point that we don’t want to spend an extra 5 minutes standing in line, potentially talking to a colleague or student? #guh

Acknowledging Ed Tech

Ignore Ed Tech at Your Peril

From The Chronicle of HE by Jonathan Rees, professor of history at Colorado State University at Pueblo.

Basic idea: Must acknowledge these massive changes to life, environment, social/cultural structure and, through this acknowledge carefully consider how to use/integrate technology into our teaching.

“do your best to keep abreast of technological developments and incorporate the ones that fit your teaching style and educational objectives. You might even consider changing those things if you are intrigued by a particular technological development that would require you to make adjustments.”

“It’s not that anything you’ve done before is somehow less effective, it’s that the overall environment in which you’ve been teaching has changed…That does not mean that you must adopt virtual reality or go extinct. Instead, you should try to gradually adapt your classes to this new environment, because your students have plenty of alternatives that they didn’t have before. Your choices in light of developments in ed tech — including the choice to do nothing — have consequences”

Positive Reflection on Working at a Teaching College

Why You Might Love Working at a Teaching College

From Chronicle of Higher Ed

James Lang’s reflections on working at a teaching college and attending a conference about rewards of such a position:

“We all talked about how our institutions gave us the opportunity to make a palpable, positive difference to the young people who enrolled in our courses and visited our offices. We all worked with large populations of first-generation college students and with students who worked long hours to help pay for school. We all took great satisfaction in helping them discover new opportunities in their lives.”

“At teaching institutions, though, making such a difference constitutes the main focus of our work. We are drawn to the job from a devotion to students — we are evaluated on it and rewarded for it in the tenure-and-promotion process. It constitutes the fuel that fires our passions. I see it every semester in the dedication of my colleagues, and I heard it from the mouths of every professor or administrator who spoke at that conference.”

More about teaching at a teaching college on this blog: Teaching at teaching-intensive institutions

Haraway: Situated Knowledges

Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective

In her essay Sitauted Knowledge, Haraway critiques science’s claim to and desire for “objectivity”, “the science question in feminism is about objectivity as positioned rationality” (590). Haraway urges feminists to work toward a better account of the world, “a postmodern insistence on irreducible difference and radical multiplicity of local knowledges”(579). She argues that knowledge is embodied, located, multiple, communal, positioned. Partial knowledge is most powerful when coming from a subjugated position, “the peripheries and the depths” (583). These perspectives are most likely to reject the totalizing God’s eye viewpoint, knowing it is not theirs, creating space for understanding knowledge as critical and interpretative. This “gaze from nowhere” (581) is disembodied, “the deadly fantasy” (580), “the power to see and not be seen”, “the unmarked positions of Man and White” (581). In contrast, partial knowledge, stitched together many times over through “webs of differentiated positioning” and “power-sensitive conversation”, builds toward a feminist objectivity. Knowledge is interpretive and always involves partial and critical translation, “feminist objectivity means quite simply situated knowledges” (581).

To describe this standpoint, Haraway engages the metaphor of vision. Vision is always embodied and often technologically enhanced. In the modern world, “vision in this technological feast becomes unregulated gluttony; all seems not just mythically about the god trick of seeing everything from nowhere, but to have put the myth into ordinary practice.” (581) In light of the tech developments of the last ~20 years, especially the creation and use of “objective” big data, this technological gluttony and the practice of seeing from nowhere is likely even more of an ordinary practice than when Haraway wrote this essay in 1988.

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Barron on Learning Ecologies

Barron, B., Martin, C. K., & Roberts, E. (2007). Sparking self-sustained learning: report on a design experiment to build technological fluency and bridge divides. International Journal of Technology and Design Education, 17(1), 75–105. http://doi.org/10.1007/s10798-006-9002-4

“In order to go beyond traditional assessments of learning we assessed two aspects of students ‘learning ecologies’: their use of a variety of learning resources and the extent to which they share their knowledge about technology with others”

“we are working to understand learning across life spaces of home, school, community and through distributed resources offered by the Internet (see Fig. 1). This conceptualization of learning broadens the unit of analysis to include the total set of contexts, comprised of configurations of activities, material resources, and relationships found in physical or virtual spaces that provide opportunities for learning

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Mapping as Method

Mapping as a Method: History and Theoretical Commitments

Valerie Futch & Michelle Fine (2014)

The article highlights three mapping studies conducted by the authors to demonstrate the utility of mapping as a useful  method for social inquiry and gathering information about subjectivities and identities. The authors historically situate the mapping method as stemming from Milgram and Joledet,  Winnicott, and critical feminist geographers, but note that the method has been overlooked by much of social psychology as a discipline. Interested in investigating “life-space” (from Lewin) the authors contend that mapping “can be rediscovered and revitalized as a highly useful qualitative method for researching our increasingly complex and ‘hyphenated’ lives” (44).

Mapping can provide insight into how people narrate and represent their own lives, life spaces, self, and others and “enables researchers to work with visual material that is highly interpretive, across conceptual landscapes (from the individual to the social), and in between various contexts and shifting structural conditions” (44). Mapping can highlight and revive the focus (historically from Dewey, James, DuBois and others) on the spheres that individuals inhabit daily and help researchers understand how, quoting Joledet, the “link between space and identity, space and experience, is linked to personal history.”

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Mental Mapping

Where We Go From Here: The Mental Sketch Mapping Method and Its Analytic Components

J.J. Gieseking, (2013)

Mental mapping has a vaguely defined methodological history. Proponents contend that the method “affords a lens into the way people produce and experience space, forms of spatial intelligence, and dynamics of human-environment relations” and can be used as a “tool for examining the roles and meanings of space and place in everyday lives.” Through the discussion of original research, Gieseking provides an analysis and critique of the mental mapping methods devised by Lynch (Image of the City, 1960) and used Milgram and Jodelet (1970) and others in variety of ways. The article resulted from Geiseking’s frustration with and desire to understand the best practices for utilizing  the mental mapping method and the ambiguous guidelines for analyzing mental maps.

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Device Ecologies

The conceptual framing, design and evaluation of device ecologies for collaborative practices

(2011). Tim Coughlan, Trevor D. Collins, Anne Adams, Yvonne Rogers, Pablo A. Hayae, Estefanıa Martın.  International Journal of Human-Computer Studies

Researchers examined use of “device ecologies” through observation of three instances collaborative work that took place in a tech-enhanced room. Researchers designed the device ecology (tech-enhanced room) to watch the interchange between individuals in the three groups: undergrad geology study; undergrad biodiversity study; school church historical study. Items in the device ecology included a tabletop computer (view map, compare images, write/view hypotheses), Mirrored projection of tabletop,  laptops (2 or 3), a video stream to field site, phone, content management system (platform for sharing between devices).

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Ed Tech: Investments without Research

Which Ed-Tech Tools Truly Work? New Project Aims to Tell Why No One Seems Eager to Find Out in The Chronicle of Higher Ed on 7/1/2016

The bottom line: Investments in Ed tech are often made without any research or evidence about the efficacy of the product and (perhaps therefore) many ed tech companies don’t see a need to conduct research about their product.

Ed tech developers and investors pay little attention to whether or not their products are effective. They “don’t see a financial payoff in spending their time or their limited financial resources on academic studies” to learn whether or not their products have the effects they claim. If research is done, it may never see the light of day if the ed tech company doesn’t like the results, “Most ed-tech studies that are now undertaken at schools of education tend to be performed as consulting projects, an approach that allows the companies that sponsor them to treat the output as proprietary information that may never get published”

UVA put together the Jefferson Education Accelerator, an ed tech incubator that brings together professors, business leaders, ed administrators, and policy makers. These individuals will spend the next year investigating the “political, financial, and structural barriers that keep companies and their customers from conducting and using efficacy research when creating or buying ed-tech products.”

After looking through the website, the outcome and goals of the Jefferson Education Accelerator project remains unclear. According to the “About Us” page, the Accelerator plans to “establish a network of educators, researchers, entrepreneurs and investors who believe in the potential of education technology, are dedicated to improving educational outcomes, and understand the rigors of testing implementations in the real-world.” How bringing these people together will improve educational outcomes is murky and raises the question: what sort of improved “educational outcomes” are we talking about? If part of the the focus is on developing a network, its important to note that the “Who We Are” section lists a group of ten individuals who range from higher ed administrators, tech investors, CEOs, former governors, and start-up founders and is notably devoid of professors or minorities (7 white men and 3 white women).

While I usually find focuses on efficacy as sign of pervading neoliberalism in higher education (which pertains here, too) it is important to understand what student’s are getting from these ed tech tools. If the tools “personalize” learning using some adaptive software,  does this lead to better student outcomes? More over what is an “improved outcome”?  A better grade? Is that the only measurement of success? Is success the ability to get “the right answer”? The ability to synthesize information? The ability to solve a real-world problem using the knowledge and skills gained in school?

Moreover, since they are the ones using it, how do students feel about the technologies that are supposed to be improving their education? Do they enjoy learning on these platforms? What affordances do student’s perceive in these educational technologies? If we are going to talk about efficacy, its equally important to talk about students’ perceptions and uses of these technologies.

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