From Good Intentions to Real Outcomes - Connected Learning Alliance - 0 views
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"The growth of online communication, media, and gaming is driving dramatic changes in how we learn. Responding to these shifts, new forms of technology-enhanced learning and instruction, such as personalized learning, open online courses, educational games and apps, and tools for learning analytics, are garnering significant public attention and private investment. These technologies hold tremendous promise for improving learning experiences and outcomes. Despite this promise, however, evidence is mounting that these new technologies tend to be used and accessed in unequal ways, and they may even exacerbate inequity. In February and May 2017, leading researchers, educators, and technologists convened for in-depth working sessions to share challenges and solutions for how learning technologies can provide the greatest benefits for our most vulnerable learners.The aim was to develop guiding principles and a shared agenda for how educational platforms and funders can best serve diverse and disadvantaged learners. These principles include inclusive design processes, ways of addressing barriers, and meth- ods to effectively measure impact. This report synthesizes the research, learnings, and recommendations that participants offered at the two workshops. After framing the nature of the challenge, the report then describes promising strategies and examples, and it ends with recommendations for next steps in research and coalition building."
The future of VR - what's holding it back? | Digital Bodies - 0 views
Guest Post - Academics and Copyright Ownership: Ignorant, Confused or Misled? - The Sch... - 1 views
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Critiquing the Critique of Digital Humanities - Text Patterns - The New Atlantis - 0 views
The Digital-Humanities Bust - The Chronicle of Higher Education - 0 views
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To ask about the field is really to ask how or what DH knows, and what it allows us to know. The answer, it turns out, is not much. Let’s begin with the tension between promise and product. Any neophyte to digital-humanities literature notices its extravagant rhetoric of exuberance. The field may be "transforming long-established disciplines like history or literary criticism," according to a Stanford Literary Lab email likely unread or disregarded by a majority in those disciplines. Laura Mandell, director of the Initiative for Digital Humanities, Media, and Culture at Texas A&M University, promises to break "the book format" without explaining why one might want to — even as books, against all predictions, doggedly persist, filling the airplane-hanger-sized warehouses of Amazon.com.
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A similar shortfall is evident when digital humanists turn to straight literary criticism. "Distant reading," a method of studying novels without reading them, uses computer scanning to search for "units that are much smaller or much larger than the text" (in Franco Moretti’s words) — tropes, at one end, genres or systems, at the other. One of the most intelligent examples of the technique is Richard Jean So and Andrew Piper’s 2016 Atlantic article, "How Has the MFA Changed the American Novel?" (based on their research for articles published in academic journals). The authors set out to quantify "how similar authors were across a range of literary aspects, including diction, style, theme, setting." But they never cite exactly what the computers were asked to quantify. In the real world of novels, after all, style, theme, and character are often achieved relationally — that is, without leaving a trace in words or phrases recognizable as patterns by a program.
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Perhaps toward that end, So, an assistant professor of English at the University of Chicago, wrote an elaborate article in Critical Inquiry with Hoyt Long (also of Chicago) on the uses of machine learning and "literary pattern recognition" in the study of modernist haiku poetry. Here they actually do specify what they instructed programmers to look for, and what computers actually counted. But the explanation introduces new problems that somehow escape the authors. By their own admission, some of their interpretations derive from what they knew "in advance"; hence the findings do not need the data and, as a result, are somewhat pointless. After 30 pages of highly technical discussion, the payoff is to tell us that haikus have formal features different from other short poems. We already knew that.
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Undergraduate Student-Faculty Research Partnerships Affect Student Retention - 1 views
DHQ: Digital Humanities Quarterly: A Genealogy of Distant Reading - 0 views
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Because Radway’s voice is candid and engaging, the book may not always sound like social science.
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In calling this approach minimally "scientific," I don’t mean to imply that we must suddenly adopt all the mores of chemists, or even psychologists
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social science
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