https://www.edsurge.com/news/2022-03-28-can-personalized-learning-be-scaled-to-ease-teacher-burdens-and-close-achievement-gaps
McGraw Hill Plus, a new tool, Focusing first on math and then expanding to ELA and science, its objective is to make personalized learning scalable.
Smith: The modern classroom sits at the intersection of blended learning, competency-based learning and personalized learning.
reimagine instructional time and use technology to scale personalized learning.
First, pulling data into one place is the key fundamental driver that will change the teacher workflow. Second, we need to manipulate that data into some advanced data visualization tools, so it’s easy for teachers to understand and use. Third, we need to be able to visualize student performance and take action on it.
Using these data analytics, we can drive personalized learning based on student performance. And the last thing is the automation of teacher workflow.
eachers get data visualization from different sources, such as an adaptive software solution like our ALEKS program, our Redbird Mathematics, or our recently acquired Achieve3000 Literacy.
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