Searching for "twitter"

social media lingo

http://www.greenlightdigital.com/blog/whitepaper/a-guide-to-social-media-jargon/

social media lingo

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http://beth.libguides.com/c.php?g=20074&p=114056

guide to twitter lingo

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more lingo here:
http://sproutsocial.com/insights/social-media-acronyms/

http://www.techmamas.com/main/2012/02/social_networking_terms_social_shield.html

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more on social media in this IMS blog:
https://blog.stcloudstate.edu/ims?s=social+media

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Save

photo sharing and libraries

Photo-sharing Site as Library Tool : A Web-based Survey
peer-reviewed article for Digital Library Perspectives: https://mc.manuscriptcentral.com/dlp

opportunity to user to develop a sense of ownership over the library resources.

Photo-sharing sites  already  have  taken  sharp  inroads  into  the  field  of  teaching-learnin encouraging a shift from teacher-led approach to user centred engagement (Kawka, et al,2012).

Introducing photo-sharing sites and integrating with other social networking sites, libraries are now making their web presence outside the “traditional web platform”. With facility of online  managing  and  sharing  of  digital  images,  photo-sharing  sites  enable  users  to  get remotely connected with others and interact with comment links. Photo-sharing sites that are commonly being used by libraries are Flickr (www.flickr.com), Instagram (instagram.com), Pinterest  (in.pinterest.com),   Photobucket   (photobucket.com),   Picasa   (picasa.google.com), SmugMug (www.smugmug.com), etc (Bradley, 2007; Kroski, 2008; Salomon, 2013).

The results showed that blog and RSS are among the mostly used applications and web 0 applications are associated with overall website quality,  particularly to  the  service  quality.

Stvilia and  Jörgensen  (2010) suggests that  controlled  vocabulary  terms  may  be

37 complemented with those user generated tags which users feel more comfortable with for information The study also reflects a growing interest among the user community to be involved in “social content creation and sharing communities in creating and enhancing the metadata of their photo collections to make the collections more accessible and visible”.

page 7-8.
2.1 Steps to increase accessibility to photo-sharing sites
a)  Improve visibility: To make photo-sharing sites of the library easily visible, a direct link to library homepage is essential

p. 9
2.2 Purposes of using photo-sharing sites
a)   Organising library tour
b) Community building
c)   Tool for digitisation
d) Grabbing the users at their own place
e)   Integrating  Feeds  with  other  application
f)   Displaying new arrivals : Newly added books
g)   Sharing news & events and publicize library activities
h)   Archives of exhibits
i) Portal for academic and research activity:   Photo-sharing sites may serve as platform tofoster teaching learning activity, particularly for those who may use these image resource sites for academic purpose
j)  Experimentation : Being a relatively new approach to users service, these tools may be introduced on experimental basis to examine their proper utilisation before final implementation
k) Miscellaneous :  Public  library  can  reach  out  to  the  community  physically,  offer service to  the  traditionally  underserved,  homebound  or  people  with  disability, implement programmes  to  include  marginalised  section  of  the  community  and showcase its mobile outreach efforts in photo-sharing sites.

page 12-13
Before  going  to  integrate  photo-sharing  site,  a  library  should  set  the  strategic  objectives i.e., what purposes are to be served. “Purpose can provide clarity of vision when creating policies or  guidelines”  (Garofalo,  2013,  p.28).  The above discussedrange  of  purposes  may  help  librarians  to  develop  better  understanding  to  makeinformed  selection  of  photo-sharing  utility and  the  nature  of  images  to  be  posted through it. Goal setting should precede consideration of views of a sizeable section of all library stakeholders to know beforehand what they expect from the library.
•    Once the purposes are outlined, a library should formulate policy/ guideline for photo-sharing practices, based on user requirement, staff resource, available time component and technological support base. Policy offers a clear guideline for the users and staff to decide the kind of images to be posted.   A guideline is indeed essential for the optimum use of photo-sharing site. It also delineates the roles and responsibilities of the staff concerned and ensures regular monitoring of the posts. Policy may highlight fair use guidelines and allow re-use of images within the scope of copy-right.
•    A best way to start is integrating an app, involving simple design with fewer images and let users be familiarized with the system. During the course of development more and more apps may be added, with more images to be posted to serve variety of purposes, depending on the institutional resource and user demand.
•    Accessibility to photo-sharing site largely depends on its visibility to the audience. Icon  of  photo-sharing  utility  prominently  located  on  website  will  increase  the presentation of its visual identity. Library may set links to photo-sharing sites at home page or at drilled-down page.
•    Being  an  emerging  technology,  photo-sharing  site  needs  adequate  exposure  for optimum usage. Annotations associated to photo-sharing site will give an idea about the online tool and will guide users to better harness the application.
•    Photo-sharing sites allow images to be organised in a variety of way. Categorising image resources under various topical headings at one location will improve resource identification and frees one from extensive searching.
•    Regular posting of engaging images to photo-sharing site from the library and follow- up will attract users to tag and share images and strengthen community involvement with active user participation.
•    “Social and informal photographs” of library staff will make them more approachable and strengthen patron-staff relationship.
•    Library should seek user comments and suggestions to improve current photo-sharing application  and  to  incorporate  fresh  element  to  library  service  provision.  User feedback may be considered as a tool to evaluate the effectiveness of existing photo- sharing practices.
•    To  popularise  the  effort,  usual  promotional  media  like  physical  and  online  signs/ displays  apart,   library  may  use   social   media  marketing  platforms   like   blogs, Facebook, Twitter, etc., and increase awareness of photo-sharing tools.
•    Imparting technology training may develop necessary knowledge; improve skill, and change the attitude and mindset of library professionals to handle issues related to using this web-based powered-tools and repurpose existing accessibility settings.
•    To provide quick link to photo-sharing site from anywhere in the web, a library may use add-ons / plug-ins to embed image sharing tools.
•    Photo-sharing site may be implemented to satisfy multiple approach options of users. A section  of  users  use  photo-sharing site  to have  a glimpse  of  the  newly arrived documents, highlights of catalogue, rare books, etc.   Some others may use it to find images of historical importance with context. New users may find it attractive to pay

 

NISO Webinar IoT

Wednesday, October 19, 2016
1:00 p.m. – 2:30 p.m. (Eastern Time)

About the Webinar

As the cost of sensors and the connectivity necessary to support those sensors has decreased, this has given rise to a network of interconnected devices.  This network is often described as the Internet of Things and it is providing a variety of information management challenges.  For the library and publishing communities, the internet of things presents opportunities and challenges around data gathering, organization and processing of the tremendous amounts of data which the internet of things is generating.  How will these data be incorporated into traditional publication, archiving and resource management systems?  Additionally, how will the internet of things impact resource management within our community?   In what ways will interconnected resources provide a better user experience for patrons and readers?  This session will introduce concepts and potential implications of the internet of things on the information management community.  It will also explore applications related to managing resources in a library environment that are being developed and implemented.

Education in the Internet of Things
Bryan Alexander, Consultant;

How will the Internet of Things shape education? We can explore this question by assessing current developments, looking for future trends in the first initial projects. In this talk I point to new concepts for classroom and campus spaces, examining attendant rises in data gathering and analysis. We address student life possibilities and curricular and professional niches. We conclude with notes on campus strategy, including privacy, network support, and futures-facing organizations.

What Does The Internet of Things Mean to a Museum?
Robert Weisberg, Senior Project Manager, Publications and Editorial Department; Metropolitan Museum of Art;

What does the Internet of Things mean to a museum? Museums have slowly been digitizing their collections for years, and have been replacing index cards with large (and costly, and labor-intensive) CMS’s long before that, but several factors have worked against adopting smart and scalable practices which could unleash data for the benefit of the institution, its collection, and its audiences. Challenges go beyond non-profit budgets in a very for-profit world and into the siloed behaviors learned from academia, practices borne of the uniqueness of museum collections, and the multi-faceted nature of modern museums which include not only curator, but conservators, educators, librarians, publishers, and increasing numbers of digital specialists. What have museums already done, what are they doing, and what are they preparing for, as big data becomes bigger and ever more-networked?
The Role of the Research Library in Unpacking The Internet of Things
Lauren di Monte, NCSU Libraries Fellow, Cyma Rubin Fellow, North Carolina State University

The Internet of Things (IoT) is a deceptively simple umbrella term for a range of socio-technical tools and processes that are shaping our social and economic worlds. Indeed, IoT represents a new infrastructural layer that has the power to impact decision-making processes, resources distribution plans, information access, and much more. Understanding what IoT is, how “things” get networked, as well as how IoT devices and tools are constructed and deployed, are important and emerging facets of information literacy. Research libraries are uniquely positioned to help students, researchers, and other information professionals unpack IoT and understand its place within our knowledge infrastructures and digital cultures. By developing and modeling the use of IoT devices for space and program assessment, by teaching patrons how to work with IoT hardware and software, and by developing methods and infrastructures to collect IoT devices and data, we can help our patrons unlock the potential of IoT and harness the power of networked knowledge.

Lauren Di Monte is a Libraries Fellow at NC State. In this role she develops programs that facilitate critical and creative engagements with technologies and develops projects to bring physical and traditional computing into scholarship across the disciplines. Her current research explores the histories and futures of STEM knowledge practices.

What does the internet of things mean for education?

Bryan Alexander:

I’m not sure if the IoT will hit academic with the wave force of the Web in the 1990s, or become a minor tangent.  What do schools have to do with Twittering refrigerators?

Here are a few possible intersections.

  1. Changing up the campus technology space.  IT departments will face supporting more technology strata in a more complex ecosystem.  Help desks and CIOs alike will have to consider supporting sensors, embedded chips, and new devices.  Standards, storage, privacy, and other policy issues will ramify.
  2. Mutating the campus.  We’ve already adjusted campus spaces by adding wireless coverage, enabling users and visitors to connect from nearly everywhere.  What happens when benches are chipped, skateboards sport sensors, books carry RFID, and all sorts of new, mobile devices dot the quad?  One British school offers an early example.
  3. New forms of teaching and learning.  Some of these take preexisting forms and amplify them, like tagging animals in the wild or collecting data about urban centers.  The IoT lets us gather more information more easily and perform more work upon it.  Then we could also see really new ways of learning, like having students explore an environment (built or natural) by using embedded sensors, QR codes, and live datastreams from items and locations.  Instructors can build treasure hunts through campuses, nature preserves, museums, or cities.  Or even more creative enterprises.
  4. New forms of research.  As with #3, but at a higher level.  Researchers can gather and process data using networked swarms of devices.  Plus academics studying and developing the IoT in computer science and other disciplines.
  5. An environmental transformation.  People will increasingly come to campus with experiences of a truly interactive, data-rich world.  They will expect a growing proportion of objects to be at least addressable, if not communicative.  This population will become students, instructors, and support staff.  They will have a different sense of the boundaries between physical and digital than we now have in 2014. Will this transformed community alter a school’s educational mission or operations?

How the internet could evolve to 2026: responding to Pew Posted on

teaching with technology

Boulder Faculty Teaching with Technology Report
Sarah Wise, Education Researcher ,  Megan Meyer, Research Assistant, March 8,2016

http://www.colorado.edu/assett/sites/default/files/attached-files/final-fac-survey-full-report.pdf

Faculty perceive undergraduates to be less proficient with digital literacy skills. One-third think
their students do not find or organize digital information very well. The majority (52%) think
they lack skill in validating digital information.
My note: for the SCSU librarians, digital literacy is fancy word for information literacy. Digital literacy, as used in this report is much greater area, which encompasses much broader set of skills
Faculty do not prefer to teach online (57%) or in a hybrid format (where some sessions occur
online, 32%). One-third of faculty reported no experience with these least popular course types
my note: pay attention to the questions asked; questions I am asking Mike Penrod to let me work with faculty for years. Questions, which are snubbed by CETL and a dominance of D2L and MnSCU mandated tools is established.

Table 5. Do you use these in-class technologies for teaching undergraduates? Which are the Top 3 in-class technologies you would like to learn or use more? (n = 442)

Top 3 use in most of my classes have used in some classes tried, but do not use  

N/A: no experience

in-class activities, problems (via worksheets, tablets, laptops, simulations, beSocratic, etc.)  

52%

 

33%

 

30%

 

6%

 

30%

in-class question, discussion tools (e.g. Twitter, TodaysMeet, aka “backchannel communication”)  

 

47%

 

 

8%

 

 

13%

 

 

11%

 

 

68%

using online resources to find high quality curricular materials  

37%

 

48%

 

31%

 

3%

 

18%

iClickers 24% 23% 16% 9% 52%
other presentation tool (Prezi, Google presentation, Slide Carnival, etc.)  

23%

 

14%

 

21%

 

15%

 

51%

whiteboard / blackboard 20% 58% 23% 6% 14%
Powerpoint or Keynote 20% 74% 16% 4% 5%
document camera / overhead projector 15% 28% 20% 14% 38%

 

Table 6. Do you have undergraduates use these assignment technology tools? Which are your Top 3 assignment technology tools to learn about or use more? (n = 432)

Top 3 use in most of my classes have used in some classes tried, but do not use N/A: no experience using
collaborative reading and discussion tools (e.g. VoiceThread, NB, NotaBene, Highlighter, beSocratic) 43% 3% 10% 10% 77%
collaborative project, writing, editing tools (wikis, PBWorks, Weebly, Google Drive, Dropbox, Zotero)  

38%

 

16%

 

29%

 

12%

 

43%

online practice problems / quizzes with instant feedback 36% 22% 22% 8% 47%
online discussions (D2L, Today’s Meet, etc) 31% 33% 21% 15% 30%
individual written assignment, presentation and project tools (blogs, assignment submission, Powerpoint, Prezi, Adobe Creative Suite, etc.)  

31%

 

43%

 

28%

 

7%

 

22%

research tools (Chinook, pubMed, Google Scholar, Mendeley, Zotero, Evernote) 30% 33% 32% 8% 27%
online practice (problems, quizzes, simulations, games, CAPA, Pearson Mastering, etc.) 27% 20% 21% 7% 52%
data analysis tools (SPSS, R, Latex, Excel, NVivo, MATLAB, etc.) 24% 9% 23% 6% 62%
readings (online textbooks, articles, e-books) 21% 68% 23% 1% 8%

Table 7. Do you use any of these online tools in your teaching? Which are the Top 3 online tools you would like to learn about or use more? (n = 437)

 

 

 

Top 3

 

use in most of my classes

 

have used in some classes

 

tried, but do not use

N/A: no experience using
videos/animations produced for my course (online lectures, Lecture Capture, Camtasia, Vimeo)  

38%

 

14%

 

21%

 

11%

 

54%

chat-based office hours or meetings (D2L chat, Google Hangouts, texting, tutoring portals, etc.)  

36%

 

4%

 

9%

 

10%

 

76%

simulations, PhET, educational games 27% 7% 17% 6% 70%
videoconferencing-based office hours or meetings (Zoom, Skype, Continuing Education’s Composition hub, etc.)  

26%

 

4%

 

13%

 

11%

 

72%

alternative to D2L (moodle, Google Site, wordpress course website) 23% 11% 10% 13% 66%
D2L course platform 23% 81% 7% 4% 8%
online tutorials and trainings (OIT tutorials, Lynda.com videos) 21% 4% 16% 13% 68%
D2L as a portal to other learning tools (homework websites, videos, simulations, Nota Bene/NB, Voice Thread, etc.)  

21%

 

28%

 

18%

 

11%

 

42%

videos/animations produced elsewhere 19% 40% 36% 2% 22%

In both large and small classes, the most common responses faculty make to digital distraction are to discuss why it is a problem and to limit or ban phones in class.
my note: which completely defies the BYOD and turns into empty talk / lip service.

Quite a number of other faculty (n = 18) reported putting the onus on themselves to plan engaging and busy class sessions to preclude distraction, for example:

“If my students are more interested in their laptops than my course material, I need to make my curriculum more interesting.”

I have not found this to be a problem. When the teaching and learning are both engaged/engaging, device problems tend to disappear.”

The most common complaint related to students and technology was their lack of common technological skills, including D2L and Google, and needing to take time to teach these skills in class (n = 14). Two commented that digital skills in today’s students were lower than in their students 10 years ago.

Table 9. Which of the following are the most effective types of learning opportunities about teaching, for you? Chose your Top 2-3. (n = 473)

Count           Percentage

meeting 1:1 with an expert 296 63%
hour-long workshop 240 51%
contact an expert on-call (phone, email, etc) 155 33%
faculty learning community (meeting across asemester,

e.g. ASSETT’s Hybrid/Online Course Design Seminar)

116 25%
expert hands-on support for course redesign (e.g. OIT’s Academic Design Team) 114 24%
opportunity to apply for grant funding with expert support, for a project I design (e.g. ASSETT’s Development Awards)  

97

 

21%

half-day or day-long workshop 98 21%
other 40 8%
multi-day retreats / institutes 30 6%

Faculty indicated that the best times for them to attend teaching professional developments across the year are before and early semester, and summer. They were split among all options for meeting across one week, but preferred afternoon sessions to mornings. Only 8% of respondents (n = 40) indicated they would not likely attend any professional development session (Table 10).

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Teaching Through Technology
http://www.maine.edu/pdf/T4FinalYear1ReportCRE.pdf

Table T1: Faculty beliefs about using digital technologies in teaching

Count Column N%
Technology is a significant barrier to teaching and learning. 1 0.2%
Technology can have a place in teaching, but often detracts from teaching and learning. 76 18.3%
Technology has a place in teaching, and usually enhances the teaching learning process. 233 56.0%
Technology greatly enhances the teaching learning process. 106 25.5%

Table T2: Faculty beliefs about the impact of technology on courses

Count Column N%
Makes a more effective course 302 72.6%
Makes no difference in the effectiveness of a course 42 10.1%
Makes a less effective course 7 1.7%
Has an unknown impact 65 15.6%

Table T3: Faculty use of common technologies (most frequently selected categories shaded)

Once a month or less A few hours a month A few hours a week An hour a day Several hours a day
Count % Count % Count % Count % Count %
Computer 19 4.8% 15 3.8% 46 11.5% 37 9.3% 282 70.7%
Smart Phone 220 60.6% 42 11.6% 32 8.8% 45 12.4% 24 6.6%
Office Software 31 7.8% 19 4.8% 41 10.3% 82 20.6% 226 56.6%
Email 1 0.2% 19 4.6% 53 12.8% 98 23.7% 243 58.7%
Social Networking 243 68.8% 40 11.3% 40 11.3% 23 6.5% 7 2.0%
Video/Sound Media 105 27.6% 96 25.2% 95 24.9% 53 13.9% 32 8.4%

Table T9: One sample t-test for influence of technology on approaches to grading and assessment

Test Value = 50
t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference
Lower Upper
In class tests and quizzes -4.369 78 .000 -9.74684 -14.1886 -5.3051
Online tests and quizzes 5.624 69 .000 14.77143 9.5313 20.0115
Ungraded  assessments 1.176 66 .244 2.17910 -1.5208 5.8790
Formative assessment 5.534 70 .000 9.56338 6.1169 13.0099
Short essays, papers, lab reports, etc. 2.876 70 .005 5.45070 1.6702 9.2312
Extended essays and major projects or performances 1.931 69 .058 3.67143 -.1219 7.4648
Collaborative learning projects .000 73 1.000 .00000 -4.9819 4.9819

Table T10: Rate the degree to which your role as a faculty member and teacher has changed as a result of increased as a result of increased use of technology

Strongly Disagree Disagree Somewhat Disagree Somewhat Agree Agree Strongly Agree
Count % Count % Count % Count % Count % Count %
shifting from the role of content expert to one of learning facilitator  

12

 

9.2%

 

22

 

16.9%

 

14

 

10.8%

 

37

 

28.5%

 

29

 

22.3%

 

16

 

12.3%

your primary role is to provide content for students  

14

 

10.9%

 

13

 

10.1%

 

28

 

21.7%

 

29

 

22.5%

 

25

 

19.4%

 

20

 

15.5%

your identification with your University is increased  

23

 

18.3%

 

26

 

20.6%

 

42

 

33.3%

 

20

 

15.9%

 

12

 

9.5%

 

3

 

2.4%

you have less ownership of your course content  

26

 

20.2%

 

39

 

30.2%

 

24

 

18.6%

 

21

 

16.3%

 

14

 

10.9%

 

5

 

3.9%

your role as a teacher is strengthened 13 10.1% 12 9.3% 26 20.2% 37 28.7% 29 22.5% 12 9.3%
your overall control over your course(s) is diminished  

23

 

17.7%

 

44

 

33.8%

 

30

 

23.1%

 

20

 

15.4%

 

7

 

5.4%

 

6

 

4.6%

Table T14: One sample t-test for influence of technology on faculty time spent on specific teaching activities

Test Value = 50
t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference
Lower Upper
Lecturing -7.381 88 .000 -12.04494 -15.2879 -8.8020
Preparing course materials 9.246 96 .000 16.85567 13.2370 20.4744
Identifying course materials 8.111 85 .000 13.80233 10.4191 17.1856
Grading / assessing 5.221 87 .000 10.48864 6.4959 14.4813
Course design 12.962 94 .000 21.55789 18.2558 24.8600
Increasing access to materials for all types of learners 8.632 86 .000 16.12644 12.4126 19.8403
Reading student discussion posts 10.102 79 .000 21.98750 17.6553 26.3197
Email to/with students 15.809 93 .000 26.62766 23.2830 29.9724

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Study of Faculty and Information Technology, 2014

http://net.educause.edu/ir/library/pdf/ers1407/ers1407.pdf

Although the LMS is pervasive in higher education, 15% of faculty said that they
do not use the LMS at all. Survey demographics suggest these nonusers are part of
the more mature faculty ranks, with a tenure status, more than 10 years of teaching
experience, and a full-professor standing.
18
The vast majority of faculty use the LMS
to conduct or support their teaching activities, but only three in five LMS users (60%)
said it is critical to their teaching. The ways in which faculty typically use the LMS are
presented in figure 8.
19
Pushing out information such as a syllabus or other handout
is the most common use of the LMS (58%), which is a basic functionality of the
first-generation systems that emerged in the late 1990s, and it remains one of the core
features of any LMS.
20
Many institutions preload the LMS with basic course content
(58%), up about 12% since 2011, and this base gives instructors a prepopulated plat
form from which to build their courses.
21
Preloading basic content does not appear to
preclude faculty from making the LMS part of their daily digital habit; a small majority
of faculty (56%) reported using the LMS daily, and another 37% use it weekly.

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Digital Literacy, Engagement, and Digital Identity Development

https://www.insidehighered.com/blogs/student-affairs-and-technology/digital-literacy-engagement-and-digital-identity-development

igital Literacy, Engagement, and Digital Identity Development

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more on digital literacy in this IMS blog

https://blog.stcloudstate.edu/ims?s=digital+literacy

Save

google phones

Google Phones

the media of this morning is filled with reports about google phones:

New Leak Reveals Everything About Google’s Pixel And Pixel XL Phones

http://www.forbes.com/sites/ianmorris/2016/10/03/new-leak-reveals-everything-about-googles-pixel-and-pixel-xl-phones

Everything there is to know about Google’s new Pixel phones just leaked

Everything there is to know about Google’s new Pixel phones just leaked

http://bgr.com/2016/10/03/google-pixel-specs-pixel-xl-specs-release-date/

and much more on Twitter:
https://twitter.com/search/google+phones

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more on mobile devices for education in this IMS blog
https://blog.stcloudstate.edu/ims?s=mobile+devices

Stacks CMS for libraries

EBSCO Launches Content Management System for Libraries

By Leila Meyer 09/26/16

https://thejournal.com/articles/2016/09/26/ebsco-debuts-content-management-system-for-libraries.aspx

EBSCO Information Services has debuted Stacks, a hosted content management system for libraries, and Stacks Mobile, a native app for iOS and Android devices.

Social media integration, including Goodreads, Facebook, Twitter and LinkedIn;

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more on technology in libraries in this IMS blog
https://blog.stcloudstate.edu/ims?s=library

ALA resources for social media in libraries

Social media basics: Engaging your library users

http://www.ala.org/news/press-releases/2014/10/social-media-basics-engaging-your-library-users

Managing Traditional & Social Media for Libraries

http://www.ala.org/pla/onlinelearning/webinars/archive/media

Use of Social Media in the Library

http://www.ala.org/alcts/confevents/upcoming/webinar/121014

Social media has the potential to facilitate much closer relationships between libraries and their patrons. Current usage of social media by the library community generally remains ad hoc and somewhat experimental, but the uptake of these tools is accelerating, and they will likely play an increasingly important role in library service provision and outreach in the future. Taylor & Francis has produced a white paper that analyzes current practices relating social media’s use in the library and how this differs by librarian job role. The sample was taken from academic librarians around the world, which also allows us to examine differences by geographic location. The goal: to establish how librarians are currently using social media in their roles, the most useful social media tools and best applications for these tools in a library setting.

bit.ly/LibrarySM
http://www.tandf.co.uk/journals/access/white-paper-social-media.pdf
http://downloads.alcts.ala.org/ce/141012socialmedialibrary_Slides.pdf

Academic Libraries

http://www.ala.org/news/state-americas-libraries-report-2014/academic-libraries

Learn to plan and strategize for ‘A More Effective Social Media Presence’ in new workshop

http://www.ala.org/news/press-releases/2012/08/learn-plan-and-strategize-more-effective-social-media-presence-new-workshop

Using social media to find collaboration, coordination and focus

http://www.ala.org/news/press-releases/2012/11/using-social-media-find-collaboration-coordination-and-focus promotes http://store.elsevier.com/Managing-Social-Media-in-Libraries/Troy-Swanson/isbn-9781780633770/

Rethinking social media to organize information and communities, popular eCourse returns!

http://www.ala.org/news/member-news/2016/02/rethinking-social-media-organize-information-and-communities-popular-ecourse

explores a variety of social media tools in terms of how they can be used to organize information and communities. Together, you will survey and use a variety of social media tools, such as Delicious, Diigo, Facebook, Goodreads, Google Hangouts, LibraryThing, Pinterest, Storify, Twitter, and more! You will also explore how social media tools can be used to organize and disseminate information and how they can be used to foster and sustain communities of learning.

Web_Analytics_Part1–Turning_Numbers_Into_Action–1-20-2011 from Paul Signorelli

In age of Social Media U.S. libraries encourage users to choose privacy

http://www.ala.org/news/news/pressreleases2010/april2010/privacy_pio

User-Generated Content in Library Discovery Systems

http://www.ala.org/advocacy/user-generated-content-library-discovery-systems

With the widespread use of library technology that incorporates social media components, intelligent objects, and knowledge-sharing tools comes the ability of libraries to provide greater opportunities for patron engagement in those discovery systems through user-generated content.  These features may include the ability of users to contribute commentary such as reviews, simple point-and-click rating systems (e.g. one star to five stars), or to engage in extensive discussions or other social interactions. This kind of content could transform authoritative files, alter information architecture, and change the flow of information within the library discovery system.

Privacy Shifting

http://www.ala.org/transforminglibraries/future/trends/privacy

Across generations, concerns for privacy may dissipate with time as specific technologies take hold or as people become aware of a technology’s benefits and value those over their value for privacy.

Library Privacy Guidelines for Students in K-12 Schools

http://www.ala.org/advocacy/library-privacy-guidelines-students-k-12-schools

my note: excellent blueprint for similar activities / policies at higher ed.

Star Trek half century and technology

#StarTrek50

Fans celebrate Star Trek’s 50th anniversary

text and data mining

38 great resources for learning data mining concepts and techniques

http://www.rubedo.com.br/2016/08/38-great-resources-for-learning-data.html

Learn data mining languages: R, Python and SQL

W3Schools – Fantastic set of interactive tutorials for learning different languages. Their SQL tutorial is second to none. You’ll learn how to manipulate data in MySQL, SQL Server, Access, Oracle, Sybase, DB2 and other database systems.
Treasure Data – The best way to learn is to work towards a goal. That’s what this helpful blog series is all about. You’ll learn SQL from scratch by following along with a simple, but common, data analysis scenario.
10 Queries – This course is recommended for the intermediate SQL-er who wants to brush up on his/her skills. It’s a series of 10 challenges coupled with forums and external videos to help you improve your SQL knowledge and understanding of the underlying principles.
TryR – Created by Code School, this interactive online tutorial system is designed to step you through R for statistics and data modeling. As you work through their seven modules, you’ll earn badges to track your progress helping you to stay on track.
Leada – If you’re a complete R novice, try Lead’s introduction to R. In their 1 hour 30 min course, they’ll cover installation, basic usage, common functions, data structures, and data types. They’ll even set you up with your own development environment in RStudio.
Advanced R – Once you’ve mastered the basics of R, bookmark this page. It’s a fantastically comprehensive style guide to using R. We should all strive to write beautiful code, and this resource (based on Google’s R style guide) is your key to that ideal.
Swirl – Learn R in R – a radical idea certainly. But that’s exactly what Swirl does. They’ll interactively teach you how to program in R and do some basic data science at your own pace. Right in the R console.
Python for beginners – The Python website actually has a pretty comprehensive and easy-to-follow set of tutorials. You can learn everything from installation to complex analyzes. It also gives you access to the Python community, who will be happy to answer your questions.
PythonSpot – A complete list of Python tutorials to take you from zero to Python hero. There are tutorials for beginners, intermediate and advanced learners.
Read all about it: data mining books
Data Jujitsu: The Art of Turning Data into Product – This free book by DJ Patil gives you a brief introduction to the complexity of data problems and how to approach them. He gives nice, understandable examples that cover the most important thought processes of data mining. It’s a great book for beginners but still interesting to the data mining expert. Plus, it’s free!
Data Mining: Concepts and Techniques – The third (and most recent) edition will give you an understanding of the theory and practice of discovering patterns in large data sets. Each chapter is a stand-alone guide to a particular topic, making it a good resource if you’re not into reading in sequence or you want to know about a particular topic.
Mining of Massive Datasets – Based on the Stanford Computer Science course, this book is often sighted by data scientists as one of the most helpful resources around. It’s designed at the undergraduate level with no formal prerequisites. It’s the next best thing to actually going to Stanford!
Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners – This book is a must read for anyone who needs to do applied data mining in a business setting (ie practically everyone). It’s a complete resource for anyone looking to cut through the Big Data hype and understand the real value of data mining. Pay particular attention to the section on how modeling can be applied to business decision making.
Data Smart: Using Data Science to Transform Information into Insight – The talented (and funny) John Foreman from MailChimp teaches you the “dark arts” of data science. He makes modern statistical methods and algorithms accessible and easy to implement.
Hadoop: The Definitive Guide – As a data scientist, you will undoubtedly be asked about Hadoop. So you’d better know how it works. This comprehensive guide will teach you how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Make sure you get the most recent addition to keep up with this fast-changing service.
 Online learning: data mining webinars and courses
DataCamp – Learn data mining from the comfort of your home with DataCamp’s online courses. They have free courses on R, Statistics, Data Manipulation, Dynamic Reporting, Large Data Sets and much more.
Coursera – Coursera brings you all the best University courses straight to your computer. Their online classes will teach you the fundamentals of interpreting data, performing analyzes and communicating insights. They have topics for beginners and advanced learners in Data Analysis, Machine Learning, Probability and Statistics and more.
Udemy – With a range of free and pay for data mining courses, you’re sure to find something you like on Udemy no matter your level. There are 395 in the area of data mining! All their courses are uploaded by other Udemy users meaning quality can fluctuate so make sure you read the reviews.
CodeSchool – These courses are handily organized into “Paths” based on the technology you want to learn. You can do everything from build a foundation in Git to take control of a data layer in SQL. Their engaging online videos will take you step-by-step through each lesson and their challenges will let you practice what you’ve learned in a controlled environment.
Udacity – Master a new skill or programming language with Udacity’s unique series of online courses and projects. Each class is developed by a Silicon Valley tech giant, so you know what your learning will be directly applicable to the real world.
Treehouse – Learn from experts in web design, coding, business and more. The video tutorials from Treehouse will teach you the basics and their quizzes and coding challenges will ensure the information sticks. And their UI is pretty easy on the eyes.
Learn from the best: top data miners to follow
John Foreman – Chief Data Scientist at MailChimp and author of Data Smart, John is worth a follow for his witty yet poignant tweets on data science.
DJ Patil – Author and Chief Data Scientist at The White House OSTP, DJ tweets everything you’ve ever wanted to know about data in politics.
Nate Silver – He’s Editor-in-Chief of FiveThirtyEight, a blog that uses data to analyze news stories in Politics, Sports, and Current Events.
Andrew Ng – As the Chief Data Scientist at Baidu, Andrew is responsible for some of the most groundbreaking developments in Machine Learning and Data Science.
Bernard Marr – He might know pretty much everything there is to know about Big Data.
Gregory Piatetsky – He’s the author of popular data science blog KDNuggets, the leading newsletter on data mining and knowledge discovery.
Christian Rudder – As the Co-founder of OKCupid, Christian has access to one of the most unique datasets on the planet and he uses it to give fascinating insight into human nature, love, and relationships
Dean Abbott – He’s contributed to a number of data blogs and authored his own book on Applied Predictive Analytics. At the moment, Dean is Chief Data Scientist at SmarterHQ.
Practice what you’ve learned: data mining competitions
Kaggle – This is the ultimate data mining competition. The world’s biggest corporations offer big prizes for solving their toughest data problems.
Stack Overflow – The best way to learn is to teach. Stackoverflow offers the perfect forum for you to prove your data mining know-how by answering fellow enthusiast’s questions.
TunedIT – With a live leaderboard and interactive participation, TunedIT offers a great platform to flex your data mining muscles.
DrivenData – You can find a number of nonprofit data mining challenges on DataDriven. All of your mining efforts will go towards a good cause.
Quora – Another great site to answer questions on just about everything. There are plenty of curious data lovers on there asking for help with data mining and data science.
Meet your fellow data miner: social networks, groups and meetups
Reddit – Reddit is a forum for finding the latest articles on data mining and connecting with fellow data scientists. We recommend subscribing to r/dataminingr/dataisbeautiful,r/datasciencer/machinelearning and r/bigdata.
Facebook – As with many social media platforms, Facebook is a great place to meet and interact with people who have similar interests. There are a number of very active data mining groups you can join.
LinkedIn – If you’re looking for data mining experts in a particular field, look no further than LinkedIn. There are hundreds of data mining groups ranging from the generic to the hyper-specific. In short, there’s sure to be something for everyone.
Meetup – Want to meet your fellow data miners in person? Attend a meetup! Just search for data mining in your city and you’re sure to find an awesome group near you.
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8 fantastic examples of data storytelling

8 fantastic examples of data storytelling

Data storytelling is the realization of great data visualization. We’re seeing data that’s been analyzed well and presented in a way that someone who’s never even heard of data science can get it.

Google’s Cole Nussbaumer provides a friendly reminder of what data storytelling actually is, it’s straightforward, strategic, elegant, and simple.

 

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more on text and data mining in this IMS blog
hthttps://blog.stcloudstate.edu/ims?s=data+mining

GLOBAL COLLABORATION DAY SEPTEMBER 15TH

Students, teachers, and organizations will join together online to celebrate and demonstrate global collaboration on September 15, 2016. On Global Collaboration Day, educators and professionals from around the world will host connective projects and events and invite public participation. This event is brought to you by VIF International Education, Google for Education, iEARN-USA and Edmodo.

The primary goals of this 24-hour, worldwide event are to:

  • demonstrate the power of global connectivity in classrooms, schools, institutions of informal learning and universities around the world
  • introduce others to the collaborative tools, resources and projects that are available to educators today
  • to focus attention on the need for developing globally competent students and teachers throughout the world

Global Collaboration Day will take place on September 15 in participant time zones. Classrooms, schools, and organizations will design and host engaging online activities for others to join. Events will range from mystery location calls to professional development events to interviews with experts. All events will be collated in an online calendar viewable in participants’ individual time zones. Participants will be connected on Twitter via the hashtag #globaled16.

An optional new activity this year will be the Great Global Project Challenge. Between now and October 1, 2016, global educators will design collaborative projects using a variety of platforms in which other students and teachers may participate during the course of the 2016-2017 school year. The objective is to create and present as many globally connective projects for students and educators as possible. The final deadline for submissions into our project directory is October 1, but participants are also encouraged to do an introductory activity for their project on Global Collaboration Day as well.

Global Collaboration Day is a project of the Global Education Conference Network, a free online virtual conference that takes place every November during International Education Week. GCD, along with Global Education Day at ISTE and Global Leadership Week, are events designed to connect educators and keep global conversations going year round.

For more information about Global Collaboration Day, please visit our main web site. A digital flyer is also available for distribution.

Follow us on social media:

 

Help us spread the word. Here are some sample Tweets:

  • Join us for Global Collaboration Day! Details here: http://bit.ly/2016GCD #globaled16
  • YOUR ORG’S TWITTER HANDLE is pleased to partner with @GlobalEdCon and educators around the globe for Global Collaboration Day: http://bit.ly/2016GCD
  • Are you an education leader? Inspire global collaboration on Global Collaboration Day 9/15. http://bit.ly/2016GCD #globaled16
  • Learn more about participating in the Global Collaboration Day celebration: http://bit.ly/2016GCD #globaled16
  • Project hosts are sought for Global Collaboration Day. Details here: http://bit.ly/2016GCD #globaled16

 

Logos and Badges for Participants, Hosts, Partners and Sponsors are located here: http://bit.ly/gcdimages

Interested in serving as an outreach partner?


Send an email to Lucy Gray (lucy@globaledevents.com) indicating your interest. Include information on how you can help us get the word out to networks with 5000 members or more.

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