Think Digital Native Means Digitally Literate? Think Again.
By Nadia Tamez-Robledo Oct 21, 2021
https://www.edsurge.com/news/2021-10-21-think-digital-native-means-digitally-literate-think-again
students do have digital skills, but not necessarily the digital literacy they need to do their schoolwork.
There’s a difference in the way students use a device to scroll through YouTube videos versus understanding the information delivered in a lesson. The first is passive, and the other requires careful engagement.
n the International Literacy Association’s “What’s Hot in Literacy” report published in 2020, 49 percent of literacy professionals said they wanted more professional development on “using digital resources to support literacy instruction.” That surprised the researchers, who also reported that professionals were split over whether digital literacy was receiving the appropriate amount of attention: 26 percent felt it deserved less attention, while 25 percent felt it should get more.
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More on digital he need to find his blog
https://blog.stcloudstate.edu/ims?s=digital+native
Designing Hybrid-Flexible (HyFlex) Courses to Support Multimodal Learning Environments
https://events.educause.edu/courses/2021/designing-hybrid-flexible-hyflex-courses-to-support-multimodal-learning-environments-3
badge earned for attending the course:
https://www.credly.com/badges/d115ce80-17a9-4238-8f7a-9e4cbc327114/linked_in
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Multimodal Learning Environments
https://ascilite.org/conferences/sydney10/procs/Sankey-full.pdf
Neuroscience research has also revealed that „significant increases in learning can be
accomplished through the informed use of visual and verbal multimodal learning‟ (Fadel, 2008, p. 12).
Multimodal learning environments allow instructional elements to be presented in more than one sensory mode (visual, aural, written). In turn, materials that are presented in a variety of presentation modes may lead learners to perceive that it is easier to learn and improve attention, thus leading to improved learning performance; in particular for lower–achieving students (Chen & Fu, 2003; Moreno & Mayer, 2007; Zywno 2003).
multimodal design, in which „information (is) presented in multiple modes such as visual and auditory‟ (Chen & Fu, 2003, p.350). The major benefit of which, as identified by Picciano (2009), is that it „allows students to experience learning in ways in which they are most comfortable, while challenging them to experience and learn in other ways as well‟ (p. 13). Consequently, students may become more self–directed, interacting with the various elements housed in these environments.
VARK learning styles inventory online to help determine their learning style (http://www.vark–learn.com/english/index.asp)
https://vark-learn.com/the-vark-questionnaire/
(see motivation theory: https://blog.stcloudstate.edu/ims/2021/10/14/motivation-theory/)
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more on hyflex in this blog
https://blog.stcloudstate.edu/ims?s=hyflex
https://sparcopen.org/wp-content/uploads/2021/10/SPARC-FTC-Letter-in-Opposition-to-the-Clarivate-ProQuest-Merger.pdf
“effective monopoly” on library systems
“Clarivate may…portray the merger as increasing competition by creating a strong challenger to Elsevier…[but] these two emerging platform monopolies are likely to…drive out…weaker competitors, creating a duopoly between Clarivate & Elsevier.”
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More on academic library in this blog
https://blog.stcloudstate.edu/ims?s=Academic+library
Critical Infrastructure Studies & Digital Humanities
Alan Liu, Urszula Pawlicka-Deger, and James Smithies, Editors
Deadline for 500-word abstracts: December 15, 2021
For more info:
https://dhdebates.gc.cuny.edu/page/cfp-critical-infrastructure-studies-digital-humanities
Part of the Debates in the Digital Humanities Series A book series from the University of Minnesota Press Matthew K. Gold and Lauren F. Klein, Series Editors
Defintion
Critical infrastructure studies has emerged as a framework for linking thought on the complex relations between society and its material structures across fields such as science and technology studies, design, ethnography, media infrastructure studies, feminist theory, critical race and ethnicity studies, postcolonial studies, environmental studies, animal studies, literary studies, the creative arts, and others (see the CIstudies.org Bibliography )
CIstudies Bibliography
Debates in the Digital Humanities 2019
https://dhdebates.gc.cuny.edu/projects/debates-in-the-digital-humanities-2019
teaching quantitative methods:
https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/620caf9f-08a8-485e-a496-51400296ebcd#ch19
Problem 1: Programming Is Not an End in Itself
An informal consensus seems to have emerged that if students in the humanities are going to make use of quantitative methods, they should probably first learn to program. Introductions to this dimension of the field are organized around programming languages: The Programming Historian is built around an introduction to Python; Matthew Jockers’s Text Analysis with R is at its heart a tutorial in the R language; Taylor Arnold and Lauren Tilton’s Humanities Data in R begins with chapters on the language; Folgert Karsdorp’s Python Programming for the Humanities is a course in the language with examples from stylometry and information retrieval.[11] “On the basis of programming,” writes Moretti in “Literature, Measured,” a recent retrospective on the work of his Literary Lab, “much more becomes possible”
programming competence is not equivalent to competence in analytical methods. It might allow students to prepare data for some future analysis and to produce visual, tabular, numerical, or even interactive summaries; Humanities Data in R gives a fuller survey of the possibilities of exploratory data analysis than the other texts.[15] Yet students who have focused on programming will have to rely on their intuition when it comes to interpreting exploratory results. Intuition gives only a weak basis for arguing about whether apparent trends, groupings, or principles of variation are supported by the data.
From Humanities to Scholarship: Librarians, Labor, and the Digital
Bobby L. Smiley
https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/bf082d0f-e26b-4293-a7f6-a1ffdc10ba39#ch35
First hired as a “digital humanities librarian,” I saw my title changed within less than a year to “digital scholarship librarian,” with a subject specialty later appended (American History). Some three-plus years later at a different institution, I now find myself a digital-less “religion and theology librarian.” At the same time, in this position, my experience and expertise in digital humanities (or “digital scholarship”) are assumed, and any associated duties are already baked into the job description itself.
Jonathan Senchyne has written about the need to reimagine library and information science graduate education and develop its capacity to recognize, accommodate, and help train future library-based digital humanists in both computational research methods and discipline-focused humanities content (368–76). However, less attention has been paid to tracking where these digital humanities and digital scholarship librarians come from, the consequences and opportunities that arise from sourcing librarians from multiple professional and educational stations, and the more ontological issues associated with the nature of their labor—that is, what is understood as work for the digital humanist in the library and what librarians could be doing.
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More on digital humanities in this blog
https://blog.stcloudstate.edu/ims?s=Digital+humanities
Artificial intelligence (AI) training costs, for example, are dropping 40-70% at an annual rate, a record-breaking deflationary force. AI is likely to transform every sector, industry, and company during the 5 to 10 years.
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More on artificial intelligence in this blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education
