I suffer from migraines. I’ve gotten them since I was around 7 years old. There are any number of triggers: changes in barometric pressure, eating MSG, but the most frequent one is hormones. I’ve got one right now, and though I’m not certain, I think it’s probably hormone related.

When I was in my teens and early twenties, I couldn’t do anything with a migraine. I had to go right to bed, preferably in a dark and silent room, banishing everyone else. This was before triptans got big, so I just guzzled Coca Cola, took some Percogesic (which researching it I now see is just Tylenol + Benadryl), and hid for twelve hours or so. After twelve hours of solid sleep, I usually felt like new.

As a college student and young professional, I tried Imitrex and some other triptans. They always came with nasty side effects: actually increasing the migraine-related nausea if I didn’t take them fast enough, giving me a weird lockjaw-type feeling but in my whole body. So I still mostly drank some Coke, took some Excedrin Migraine or Tylenol Arthritis Strength, and went to bed.

As a young teacher with a limited amount of sick leave, I couldn’t just go to bed. I worked through these migraines many times, doing what I essentially called “subbing for myself” – tossing my original lesson plan for something I would have been comfortable giving to a sub, and asking my students to please work in silence, in a somewhat darkened classroom.

As a parent, I can’t just go to bed. But also, my migraines aren’t usually as bad now as they used to be. I usually can get through them okay with just being chill. I don’t usually need to just go to bed and be left alone.

Usually.

I have one today. We’re in Day 2. My sweet child keeps asking me “Mommy, is your headache gone?” and it breaks my heart every time I tell him it’s still here. The first time I told him that, he said, “But I kissed your head!” I had to explain that kisses can ameliorate pain, but only sometimes take it away entirely, and this was not one of those times.

(BUT HOW CUTE IS HE?)

Anyway. All this to say: when I feel this way, words won’t go in.

I’ve been trying to read, because that’s one of the two key activities in my day. (The other being writing.) I’ve been trying to review my own notes. I’ve been trying to refresh my memory of the Dublin Core. I tried to watch a video that explained Dublin Core, and the professor’s words wouldn’t go in my brain through auditory means any easier than the DCMI specification’s words would go in visually.

There’s a very light halo on my vision in the eye where the headache sits.

Words can come out, apparently, though analytic ones won’t.

It’s possible fiction could make it in. I don’t know.

Anyway, it’s frustrating.

I guess that’s all I wanted to say, really. It’s frustrating that migraines make me unable to work with words, when words are most of my work.

Read Fifty shades of white: the long fight against racism in romance novels by Lois BeckettLois Beckett (the Guardian)

For decades, the world of romantic fiction has been divided by a heated debate about racism and diversity. Is there any hope of a happy ending?

I found this article because I wanted to read romance novels again. I decided to check out the Romance Writers of America website. I noted several announcements in their news section that started to ping my kerfuffle-dar: they’re hiring a DEI consultant (which honestly would be a great idea for most organizations but based on my observations, organizations only do this after an incident), there have been changes in their board membership, special statements from award nominees withdrawing themselves from consideration… So I decided to hunt down the origin of it all and found this handy summary. That summary pointed me to this article, which I found especially interesting because a lot of it centers on my local RWA chapter, which I have been adjacent to in a couple of ways, though never a member.

It’s a great piece because it illuminates the way institutional racism touches an industry, how people can do antiracist work in their own area of expertise, and also serves as a list of authors to check out and books to read.

And now if you’ll excuse me, I’m going to go track down some books about BIPOC & LGBTQ people that definitely have happy endings. And then I’m going to read them.

 

Connected Learning can be conceived of in three ways: as a type of learning experience that occurs spontaneously, as an empirically-derived model or framework for describing that type of experience, and as an agenda for research and design approach for creating learning experiences. The model/framework was first described by Mizuko Ito, Kris Gutierrez, Sonia Livingstone, Bill Penuel, Jean Rhodes, Katie Salen, Juliet Schor, Julian Sefton-Green, and S. Craig Watkins in their report, Connected Learning: An Agenda for Research and Design (2013).

The Connected Learning framework incorporates three spheres of learning: interest-based learning, peer-based learning, and academic learning (Ito & Martin, Fall 2013). These spheres of learning are derived from the HOMAGO framework outlined in the report, Hanging Out, Messing Around, and Geeking Out: Kids Living and Learning with New Media (Itō et al., 2009). This report draws on three years of “ethnographic investigation of youth new media practice” (p. 2) examining how these practices fit into social and cultural worlds and how they are meaningful in youth’s everyday lives. Ito and colleagues found that youths’ new media practices tended to fall into one of three genres of participation: “hanging out,” a friendship-driven mode of participation, “geeking out,” an interest-driven mode of participation, and “messing around,” a mode of participation that tended to bridge the other two, in which either youth deepen their commitment to particular interests as they engaged in social practices, or in which youth engage in expanded social activity via participating in their current interests. Ito and colleagues found that young people transitioned easily between these three genres of participation.

The HOMAGO framework was derived from a study that was designed to describe current practices, especially in informal learning spaces (Ito et al., 2019). This study was not aimed at creating a design agenda for educational experiences or describing formal learning environments. Ito and colleagues (2009) found, however, that formal learning environments were often cut off from peer-driven or interest-driven learning environments. The Connected Learning environment seeks to incorporate academic, civic, and career opportunities with peer-driven and interest-driven learning, describing and expanding access to a mode of learning in which all three of these spheres overlap (Figure 1).

In its initial iteration, the Connected Learning framework encompassed six Connected Learning principles. The first three incorporated the spheres of learning: peer-supported, interest-powered, and academically-oriented. The other three principles described the kind of environments that tend to promote connected learning experiences: being production-centered, having a shared purpose, and being openly networked.

“Connected learning is a framework under constant development that offers principles and examples to be adapted and remixed rather than a template for programs and activities” (Ito & Martin, Fall 2013, p. 31). In the years since the model’s initial development, it has undergone some changes. A number of studies developed by the Connected Learning Research Network have provided new evidence that contributes to revision and refinement of the model (Arum, Larson, & Meyer, Forthcoming; Ben-Eliyahu, Rhodes, & Scales, 2014; Ching, Santo, Hoadley, & Peppler, 2015; Ito et al., 2019; Larson et al., 2013; Livingstone & Sefton-Green, 2016; Maul et al., 2017; Penuel, Van Horne, Santo, Ching, & Podkul, 2015; Van Horne, Allen, DiGiacomo, Chang-Order, & Van Steenis, 2016; Watkins et al., Forthcoming). The three spheres of learning have shifted slightly (see Figure 2): “peer-supported” has changed to “relationships,” to indicate not only peer-to-peer relationships but also relationships between young people and adult brokers or mentors, while “academically-oriented” has changed to “opportunities,” to include not just academic opportunities but also civic and career opportunities.

Figure 1. Original spheres of learning.
elements of connected learning
Figure 2. Revised spheres of learning.

The other three principles of Connected Learning have shifted, as well (“About Connected Learning,” 2017). “Sponsorship of youth interests” is a new principle that was previously woven throughout the others; studies have consistently demonstrated that young people require adult assistance to make connections between their own interests and academic, civic, and career opportunity (Ching et al., 2015; Ito et al., 2019; Van Horne et al., 2016). This principle asks adults to reconsider their role in youths’ learning, to be more than either a “sage on the stage” or “guide on the side,” engaging in actively assisting youth in expanding their networks. “Production-centered” has shifted to being described as “shared practices,” including not just media production as the early model suggested, but also “friendly competition, civic action, and joint research” (“About Connected Learning,” 2017). “Shared purpose” remains, while “openly networked” has changed to “Connections across settings” to incorporate not just openly networked online platforms, but also connections between online and local affinity networks and relationships between home, school, and community.

All of the principles of Connected Learning are directed toward creating learning environments with an equity agenda, in which nondominant youth gain access to learning experiences that have historically been more available to those with privilege and financial access. Without attention to the cultural and social environment, new technologies like those that facilitate connected learning “tend to amplify existing inequity…access to social, cultural, and economic capital, not access to technology, is what broadens opportunity” (Ito et al., 2019, p. 6) (emphasis original).Youth need programs and mentors with social capital to broker connections; if brokering is treated as a market-driven process, this exacerbates inequity.

“The responsibility of providing mentorship, brokering, and connection building to link youth interests to opportunity is a collective one and cannot be shouldered only by families, nor only by schools and other public educational institutions. It entails a broader cultural shift toward recognizing the new learning dynamics of a networked era, paying more attention to learning and equity in online communities and platforms, and providing more educational supports in both formal and informal learning environments.” (Ito et al., 2019, p. 169)

Connected learning has often been conceived of as occurring along pathways, but recent research suggests that it “is more appropriately conceived of as the growth of a network of connections than as a linear pathway or an internalization of skills and knowledge” (Ito et al., 2019, p. 21). Connected learning is best seen “not as a journey of individual development that is transferrable across different settings that a person moves through, but as building stronger, more resilient and diverse social, cultural, and institutional relationships through time” (Ito et al., 2019, p. 167).

References

About Connected Learning. (2017, December 6). Retrieved April 12, 2019, from clalliance.org/about-connected-learning/
Arum, R., Larson, K., & Meyer, W. M. (Forthcoming). Connected Learning: A Study of Educational Technology and Progressive Pedagogy. New York: New York University Press.
Ben-Eliyahu, A., Rhodes, J. E., & Scales, P. (2014). The Interest-Driven Pursuits of 15 Year Olds: “Sparks” and Their Association With Caring Relationships and Developmental Outcomes. Applied Developmental Science, 18(2), 76–89.
Ching, D., Santo, R., Hoadley, C., & Peppler, K. (2015). On-ramps, lane changes, detours and destinations: Building connected learning pathways in hive NYC through brokering future learning opportunities. New York, NY: Hive Research Lab. hiveresearchlab. files. wordpress. com/2015/05/hive-research-lab-2015-community-white-paper-brokering-future-learning-opportunities2. pdf (accessed November 15, 2015).
Itō, M., Baumer, S., Bittanti, M., Boyd, D., Cody, R., Stephenson, B. H., … Tripp, L. (2009). Hanging out, messing around, and geeking out : kids living and learning with new media. Cambridge, MA: MIT Press.
Ito, M., Gutiérrez, K., Livingstone, S., Penuel, B., Rhodes, J., Salen, K., … Craig Watkins, S. (2013). Connected Learning: An Agenda for Research and Design. Irvine, CA: Digital Media and Learning Research Hub. Retrieved from dmlhub.net/publications/connected-learning-agenda-for-research-and-design/
Ito, M., & Martin, C. (Fall 2013). Connected Learning and the Future of Libraries. Young Adult Library Services, 12(1), 29–32.
Ito, M., Martin, C., Pfister, R. C., Rafalow, M. H., Salen, K., & Wortman, A. (2019). Affinity Online: How Connection and Shared Interest Fuel Learning. New York: NYU Press.
Larson, K., Ito, M., Brown, E., Hawkins, M., Pinkard, N., & Sebring, P. (2013). Safe Space and Shared Interests: YOUmedia Chicago as a Laboratory for Connected Learning. Irvine, CA: Digital Media and Learning Research Hub. Retrieved from dmlhub.net/publications/safe-space-and-shared-interests-youmedia-chicago-laboratory-connected-learning/
Livingstone, S., & Sefton-Green, J. (2016). The Class: Living and Learning in the Digital Age. NYU Press.
Maul, A., Penuel, W. R., Dadey, N., Gallagher, L. P., Podkul, T., & Price, E. (2017). Developing a measure of interest-related pursuits: The survey of connected learning. clrn.dmlhub.net. Retrieved from clrn.dmlhub.net/wp-content/uploads/2014/12/CRLN-Measurement-Paper-120714-for-CLRN.docx
Penuel, W., Van Horne, K., Santo, R., Ching, D., & Podkul, T. (2015). Connected Learning: From Outcomes Workshops to Survey Items. Retrieved from hiveresearchlab.files.wordpress.com/2015/05/clrn-from-workshop-to-survey-items-report-may-2015.pdf
Van Horne, K., Allen, C., DiGiacomo, D., Chang-Order, J., & Van Steenis, E. (2016). Brokering In and Sustained Interest-Related Pursuits: A Longitudinal Study of Connected Learning. dml2016.dmlhub.net. Retrieved from dml2016.dmlhub.net/wp-content/uploads/2016/02/14_vanHorne_CLRNBrokeringPaper040416_submit.pdf
Watkins, C., Lombana-Bermudez, A., Cho, A., Vickery, J., Shaw, V., & Weinzimmer, L. (Forthcoming). The Digital Edge: How Black and Latino Youth Navigate Digital Inequality. New York: New York University Press.

Bookmarked Affinity Online: How Connection and Shared Interest Fuel Learning by Connected Learning Alliance (Connected Learning Alliance)

New book, Affinity Online, explores how online practices and networks bridge the divide between in-school and out-of-school learning.

Ito, M., Martin, C., Pfister, R. C., Rafalow, M. H., Salen, K., & Wortman, A. (2019). Affinity Online: How Connection and Shared Interest Fuel Learning. New York: NYU Press.

Ito et al describe the ways in which online affinity networks can be conducive to Connected Learning, explicating an updated model of Connected Learning in the process. This book is the output of the Leveling Up study; it is a collaboratively authored text identifying themes that were shared across multiple ethnographic studies in a variety of online affinity network contexts.

Connected learning “both describes a form of meaningful and opportunity-enhancing learning and guides design and policies that expand access to this form of learning” (p. 3).

It “is centered on young people’s interest-driven learning and is agnostic as to the types of relationships and institutions that can support this learning” (p. 3).

Some of the questions they seek to answer:

“How do relationships and networks provide social support, information, and connections to opportunity?… What kinds of relationships and networks support connected learning? Can online affinity networks help develop social capital, learning, and opportunity?…what kinds of additional relationships and supports do young people need to connect their learning in affinity networks to academic, civic, and career opportunities?” (p. 4)

“Why do some young people go online primarily to hang out with existing peers and to browse entertaining YouTube videos, while others dive into online tutorials, courses, and communities of interest that drive more specialized forms of ‘geeking out’ and social organizing? What role can educators, parents, peers, and the developers of online resources play in shaping these dynamics? What kinds of institutional practices, policies, and infrastructures can build stronger connections between youth interests and sites of opportunity, particularly for less privileged groups? What kinds of cultural barriers and assumptions inhibit or facilitate the building of these connections?” (p. 7-8)

How do online affinity networks connect to educational, career, and civic opportunity?

While educational technology (“edtech”), and especially specific edtech tools, have both proponents and detractors, their approaches fail to consider that “Technologies and techniques…. Take on different characteristics depending on the cultural and social settings they are embedded in” (p. 6). Without attention to the cultural and social environment, new technologies “tend to amplify existing inequity” (p. 6).

…access to social, cultural, and economic capital, not access to technology, is what broadens opportunity.” (p. 6) (emphasis original)

A history of this work:
The Macarthur Foundation’s Digital Media and Learning Initiative funded research conducted by, among others, members of the Connected Learning Research Network.

One of these projects was the Digital Youth Project. Fieldwork for this project was undertaken in 2006 – 2007, when “teens were flocking to MySpace… YouTube was just taking off… before the mobile internet and texting had taken hold in the United States” (p. 8).

The output of that project was the book Hanging Out, Messing Around, and Geeking Out: Kids Living and Learning with New Media (Ito et al 2009). The model described in that book was designed to describe how children and teens interact with new media, but “was not designed to directly inform educational practice or design” (p. 9).

Affinity Online is an output of the Leveling Up project, another project of the CLRN. Contrasting with HOMAGO, Affinity Online is explicitly designed to inform “the design and deployment of learning technologies and related programs” (p. 10). The project came about because “…large-scale adoption of new media created an imperative to investigate the potential connections between young people’s online activities and meaningful opportunities in education, civic institutions, and careers” (p. 10).

“Critique of existing practices is necessary but not sufficient; we believe that those of us practicing ethnography and social science also have a role to play in presenting alternatives.” (p. 10)

METHODS

This text provides a “cross-case analysis of in-depth qualitative research in networked settings” (p. 12), specifically “a variety of affinity networks that make use of online spaces” (p. 13). Data collection methods include “questionnaires, surveys, semistructured interviews, observation, and content analysis of media, profiles, videos, and other online artifacts” (p. 13).

Networks were chosen by seeking out “examples of practices already existing in communities that can be spread and scaled to address systemic problems” (p. 14), an approach from the public health field called “positive deviance” (Pascale, Sternin, and Sternin 2010).

FINDINGS

Ito et al identify common characteristics of online affinity networks that support connected learning:

  • Strongly shared culture and practices
  • Varied ways of contributing
  • High standards
  • Effective ways of providing feedback and help (p. 17)

“…an interest cannot be separated from its culture, people, and places.” (p. 18)

“Connected learning is not limited… to a particular pedagogical approach… the focus is on building relational, practical, and conceptual connections across settings and experiences, centered on learning interests and affinities.” (p. 19)

“…connected learning is more appropriately conceived of as the growth of a network of connections than as a linear pathway or an internalization of skills and knowledge” (p. 21)

“Transformative and resilient forms of learning are embedded in a web of social relations, meaningful projects, and shared activities with which a learner feels a sense of affinity” (p. 166)

“We see connected learning not as a journey of individual development that is transferrable across different settings that a person moves through, but as building stronger, more resilient and diverse social, cultural, and institutional relationships through time” (p. 167)

This idea of network-building as opposed to pathway-traversing is similar to the contrast Martin (2012) draws between traditional, linear models of information literacy and her new, more networked model of information literacy. It also has implications for people who are trying to identify pathways to connected learning, such as Bender & Peppler (2019). Should people asking questions like Bender & Peppler’s be investigating networks rather than pathways?

KEY FINDING: Online affinity networks rarely overlap with school or local networks or career networks.

“Building these connections requires concrete forms of sponsorship, translation, and brokering in order t oconnect interests to opportunity.” (p. 167-168)

“When we consider the resources and supports that young people need to connect their interests to their opportunity, equity becomes of critical concern.” (p. 168) Youth need programs and mentors with social capital to broker connections; if brokering is treated as a market-driven process, this exacerbates inequity.

“The responsibility of providing mentorship, brokering, and connection bulilding to link youth interests to opportunity is a collective one and cannot be shouldered only by families, nor only by schools and other public educational insitiututions. It entails a broader cultural shift toward recognizing the new learning dynamics of a networked era, paying more attention to learning and equity in online communities and platforms, and providing more educational supports in both formal and informal learning environments.” (p. 169

Barriers to “having a shared understanding and public agenda for how the adult world can harness online affinity networks for educational opportunity and equity” (p. 171) include the Digital Culture Generation Gap and Compartmentalized Social Networks.

Re: the Digital Culture Generation gap – “lack of understanding and visibility around what digital youth culture is about” (p. 172) and “cultural values and negative stereotypes” – e.g. gaming and fandom in particular are stereotyped as addicitvie and frivolous, respectively.

Re: Compartmentalized Social Netowrks – “online affinity networks can support bonding social captiial, but they have few avenues for bridging social capital between onlien relationships and local ones, limiting connections to academic, career, and civic opportunity” (p. 173).

Design Principles for creating Connected Learning Environments/Experiences:

Shared culture and purpose

  • “Purpose-driven participation” (p. 174)
  • “Diverse forms of contribution and participation” (p. 175)
  • “Community-driven ways of recognizing status and quality of work” (p. 175)

“In learning environments that are less interest-driven [esp. Schools], it is more challenging to develop this sense of shared community values, culture, and purpose” (p. 176). Schools tend to foster this more in extracurriculars and electives. These activities offer a potential site of connection between online affinity networks and local networks.

Project-based and production-centered

  • “Competitions, creative production, and civic engagement” (p. 178)

Openly networked

Read Connected learning ecologies as an emerging opportunity through Cosplay

Connected learning explains how people can build learning pathways that connect their interests, relationships, and formal learning to lead toward future opportunities such as careers. However, most learning systems are not set up ideally for connected learning; for instance, most schools still teach disciplines as discrete units that do not connect to students’ interests outside of school. We do not yet know enough about the structure of naturally occurring connected learning ecologies that do connect youth learning across contexts and help them follow pathways toward careers and other desired outcomes. Learning more about what works well on these pathways will allow us to design connected learning environments to help more youth access to these desired opportunities. This paper analyzes two case studies of cosplayers –hobbyists who make their costumes of media characters to wear at fan conventions–who benefited from well-developed connected learning ecologies. Cases were drawn from a larger interview studyand analyzed as compelling examples of connected learning. Important themes that emerged included relationships with and sponsorship by caring others; unique pathways that start with a difficult challenge; economic opportunities related to cosplay; and comparisons with formal school experiences. This has implications for how we can design connected learning ecologies that support all learners on unique pathways toward fulfilling futures.

Bender, S., & Peppler, K. (2019). Connected learning ecologies as an emerging opportunity through Cosplay. Comunicar, 27(58), 31–40.

Bender and Peppler analyze case studies of two cosplayers “who benefited from well-developed connected learning ecologies” to identify themes that might be useful in designing connected learning environments. They identified the following themes: “relationships with and sponsorship by caring others; unique pathways that start with a difficult challenge; economic opportunities related to cosplay; and comparisons with formal school experiences.”

Read Information Literacy in Interest-Driven Learning Communities: Navigating the Sea of Information of an Online Affinity Space – ProQuest by Crystle MartinCrystle Martin

Martin, Crystle A. “Information Literacy in Interest-Driven Learning Communities: Navigating the Sea of Information of an Online Affinity Space.” The University of Wisconsin-Madison, 2012. search.proquest.com/docview/1030437582?pq-origsite=summon.

Martin investigates “the information literacy practices that take place in the constellation of information, which is the in-game and out-of-game information resources of the massively multiplayer (MMO) game World of Warcraft (WoW).” (p. i) She uses information horizon maps and an analysis of “community curated resources like knowledge compendiums” and “forums and chat logs” (p. i) to explore these practices. Martin developed a new coding framework for information literacy based on the literature and used this framework to code chat data.

RQs:
What are the forms of information literacy practices engaged in by participants in an online affinity space?
SubRQ1. How do players situatie themselves within the constellation of information available around their affinity space?
SubRQ2. How are information literacy processes practiced in the community?
SubRQ3. Does collective intelligence happen in these affinity spaces? (p. 106)

From her data, Martin generates a new framework of information literacy. She finds that “at any level these affinity spaces encourage collaborative information literacy practices” (p. 108).

Martin’s study assumes “that people can have individualized information literacy practices that they use to help them successfully fulfill their information needs” (p. 108). This contrasts “the traditional perspective that everyone needs to be taught to utilize the same strict structure of information literacy” (p. 108).

“Information literacy is more than a set of skills or abilities. It is the practices individuals use and how these individuals situate themselves towards the information available to them. However, it is also the practices of groups of people in a community that encompasses cultural norms, discourses, and implemented practices. In short, information literacy is a way of being in the world.” (p. 109)

Martin points out that previous research on and standards for information literacy were developed for institutional settings, keeping a division between academic information literacy and everyday life information behavior.

This is only the second study to look at information literacy in an affinity space; Martin & Steinkuehler 2010 is the first.

Martin points out “limitation in scope and research methodologgy within the field of information literacy” (p. 19):
There is an overwhelming number of standards.
Most are expertise-based rather than evidence-based.
“…separation of imposed and self-determined information-seeking makes little sense” (p. 20) as the same skills and abilities can be used for both, as well as the line between work and play not always being clear.

Martin aggregated “information literacy definitions to determine overlap as well as to create a stronger definition from each contribution” (p. 62-63) and that’s how she generated her codes.

She illustrates this aggregate as a “linear and solitary process” (p. 66) but points out that “in affinity spaces with synchronous and asynchronous communication, peer-produced resources, and frequently changing content, these spaces are neither linear nor solitary” (p. 66)

The standard model “presumes dissemination as the end product” (p. 68-69).

Martin proposes a new model, based on Martin and Steinkuehler (2010):

The major differences in this model are that it shows the complexity that can occur during information seeking, it can take collective and collaborative information literacy practices into account, and it shifts the focus of the information literacy model from ending with dissemination to ending with using information for a specific purpose, that is to satisfy the person’s information need.” (p. 71-2)

The phases in the standard model can be grouped: recognizing the information need, developing a strategy for finding information, finding the information, and creating a product with the information. (p. 68) Martin’s new phases can be grouped as: recognizing the need, input, evaluation, and output (p. 74).

“The division of information literacy by the process in which the intellectual work is undertaken represents information literacy as a cognitive process instead of a skills-based system that essentially lays out a checklist.” (p. 75)

Diagram on p. 76

After using this new model to generate codes and analyze chat logs and forums, Martin proposes a refined version of the model based on her data.

NEW CODING SCHEME p. 84