Posts Tagged ‘webinar’

Text and Data Mining

Webinar: Text and Data Mining: The Way Forward, June 30, 10am (EDT)

LITA announcement. Date: Thursday, June 30, 2016,  Time:  10am-11:30am (EDT), Platform: WebEx. Registration required.

a critically important means of uncovering patterns of intellectual practice and usage that have the potential for illuminating facets and perspectives in research and scholarship that might otherwise not be noted. At the same time, challenges exist in terms of project management and support, licensing and other necessary protections.

Confirmed speakers include: Audrey McCulloch, Executive Director, ALPSP; Michael Levine-Clark, Dean of Libraries, University of Denver; Ellen Finnie, Head, Scholarly Communications and Collections Strategies, Massachusetts Institute of Technology; and Jeremy Frey, Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton, UK.

Audrey McCulloch, Chief Executive, Association of Learned Professional and Society Publishers (ALPSP) and Director of the Publishers Licensing Society

Text and Data Mining: Library Opportunities and Challenges
Michael Levine-Clark, Dean and Director of Libraries, University of Denver

As scholars engage with text and data mining (TDM), libraries have struggled to provide support for projects that are unpredictable and tremendously varied. While TDM can be considered a fair use, in many cases contracts need to be renegotiated and special data sets created by the vendor. The unique nature of TDM projects makes it difficult to plan for them, and often the library and scholar have to figure them out as they go along. This session will explore strategies for libraries to effectively manage TDM, often in partnership with other units on campus and will offer suggestions to improve the process for all.

Michael Levine-Clark, the Dean and Director of the University of Denver Libraries, is the recipient of the 2015 HARRASOWITZ Leadership in Library Acquisitions Award. He writes and speaks regularly on strategies for improving academic library collection development practices, including the use of e-books in academic libraries, the development of demand-driven acquisition models, and implications of discovery tool implementation.

Library licensing approaches in text and data mining access for researchers at MIT
Ellen Finnie, Head, Scholarly Communications & Collections Strategy, MIT Libraries

This talk will address the challenges and successes that the MIT libraries have experienced in providing enabling services that deliver TDM access to MIT researchers, including:
· emphasizing TDM in negotiating contracts for scholarly resources

· defining requirements for licenses for TDM access

· working with information providers to negotiate licenses that work for our researchers

· addressing challenges and retooling to address barriers to success

· offering educational guides and workshops

· managing current needs v. the long-term goal– TDM as a reader’s right

Ellen Finnie is Head, Scholarly Communications & Collections Strategy in the MIT Libraries. She leads the MIT Libraries’ scholarly communications and collections strategy in support of the Libraries’ and MIT’s objectives, including in particular efforts to influence models of scholarly publishing and communication in ways that increase the impact and reach of MIT’s research and scholarship and which promote open, sustainable publishing and access models. She leads outreach efforts to faculty in support of scholarly publication reform and open access activities at MIT, and acts as the Libraries’ chief resource for copyright issues and for content licensing policy and negotiations. In that role, she is involved in negotiating licenses to include text/data mining rights and coordinating researcher access to TDM services for licensed scholarly resources. She has written and spoken widely on digital acquisitions, repositories, licensing, and open access.

Jeremy Frey, Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton, UK

Text and Data Mining (TDM) facilitates the discovery, selection, structuring, and analysis of large numbers of documents/sets of data, enabling the visualization of results in new ways to support innovation and the development of new knowledge. In both academia and commercial contexts, TDM is increasingly recognized as a means to extract, re-use and leverage additional value from published information, by linking concepts, addressing specific questions, and creating efficiencies. But TDM in practice is not straightforward. TDM methodology and use are fast changing but are not yet matched by the development of enabling policies.

This webinar provides a review of where we are today with TDM, as seen from the perspective of the researcher, library, and licensing-publisher communities. 

beyond threaded discussions

Dynamic Discussion Artifacts: Moving Beyond Threaded Discussion in an Online Course

https://moqi.zoom.us/j/672493176

PPT is converted to iSpring.
rubric and examples of the technology they might use (for podcast etc). They are tech ed master students, so they have the background.

differentiated instruction.

michael.manderfeld@mnsu.edu

more on discussion in education in this blog:

https://blog.stcloudstate.edu/ims/?s=discussion&submit=Search

analytics in education

ACRL e-Learning webcast series: Learning Analytics – Strategies for Optimizing Student Data on Your Campus

This three-part webinar series, co-sponsored by the ACRL Value of Academic Libraries Committee, the Student Learning and Information Committee, and the ACRL Instruction Section, will explore the advantages and opportunities of learning analytics as a tool which uses student data to demonstrate library impact and to identify learning weaknesses. How can librarians initiate learning analytics initiatives on their campuses and contribute to existing collaborations? The first webinar will provide an introduction to learning analytics and an overview of important issues. The second will focus on privacy issues and other ethical considerations as well as responsible practice, and the third will include a panel of librarians who are successfully using learning analytics on their campuses.

Webcast One: Learning Analytics and the Academic Library: The State of the Art and the Art of Connecting the Library with Campus Initiatives
March 29, 2016

Learning analytics are used nationwide to augment student success initiatives as well as bolster other institutional priorities.  As a key aspect of educational reform and institutional improvement, learning analytics are essential to defining the value of higher education, and academic librarians can be both of great service to and well served by institutional learning analytics teams.  In addition, librarians who seek to demonstrate, articulate, and grow the value of academic libraries should become more aware of how they can dovetail their efforts with institutional learning analytics projects.  However, all too often, academic librarians are not asked to be part of initial learning analytics teams on their campuses, despite the benefits of library inclusion in these efforts.  Librarians can counteract this trend by being conversant in learning analytics goals, advantages/disadvantages, and challenges as well as aware of existing examples of library successes in learning analytics projects.

Learn about the state of the art in learning analytics in higher education with an emphasis on 1) current models, 2) best practices, 3) ethics, privacy, and other difficult issues.  The webcast will also focus on current academic library projects and successes in gaining access to and inclusion in learning analytics initiatives on their campus.  Benefit from the inclusion of a “short list” of must-read resources as well as a clearly defined list of ways in which librarians can leverage their skills to be both contributing members of learning analytics teams, suitable for use in advocating on their campuses.

my notes:

open academic analytics initiative
https://confluence.sakaiproject.org/pages/viewpage.action?pageId=75671025

where data comes from:

  • students information systems (SIS)
  • LMS
  • Publishers
  • Clickers
  • Video streaming and web conferencing
  • Surveys
  • Co-curricular and extra-curricular involvement

D2L degree compass
Predictive Analytics Reportitng PAR – was open, but just bought by Hobsons (https://www.hobsons.com/)

Learning Analytics

IMS Caliper Enabled Services. the way to connect the library in the campus analytics https://www.imsglobal.org/activity/caliperram

student’s opinion of this process
benefits: self-assessment, personal learning, empwerment
analytics and data privacy – students are OK with harvesting the data (only 6% not happy)
8 in 10 are interested in personal dashboard, which will help them perform
Big Mother vs Big Brother: creepy vs helpful. tracking classes, helpful, out of class (where on campus, social media etc) is creepy. 87% see that having access to their data is positive

librarians:
recognize metrics, assessment, analytics, data. visualization, data literacy, data science, interpretation

INSTRUCTION DEPARTMENT – N.B.

determine who is the key leader: director of institutional research, president, CIO

who does analyics services: institutional research, information technology, dedicated center

analytic maturity: data drivin, decision making culture; senior leadership commitment,; policy supporting (data ollection, accsess, use): data efficacy; investment and resourcefs; staffing; technical infrastrcture; information technology interaction

student success maturity: senior leader commited; fudning of student success efforts; mechanism for making student success decisions; interdepart collaboration; undrestanding of students success goals; advising and student support ability; policies; information systems

developing learning analytics strategy

understand institutional challenges; identify stakeholders; identify inhibitors/challenges; consider tools; scan the environment and see what other done; develop a plan; communicate the plan to stakeholders; start small and build

ways librarians can help
idenfify institu partners; be the partners; hone relevant learning analytics; participate in institutional analytics; identify questions and problems; access and work to improve institu culture; volunteer to be early adopters;

questions to ask: environmental scanning
do we have a learning analytics system? does our culture support? leaders present? stakeholders need to know?

questions to ask: Data

questions to ask: Library role

learning analytics & the academic library: the state of the art of connecting the library with campus initiatives

questions:
pole analytics library

 

 

 

 

 

 

 

 

 

 

 

 

 

 

literature

causation versus correlation studies. speakers claims that it is difficult to establish causation argument. institutions try to predict as accurately as possible via correlation, versus “if you do that it will happen what.”

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More on analytics in this blog:

https://blog.stcloudstate.edu/ims/?s=analytics&submit=Search

learning analytics

ACRL e-Learning webcast series: Learning Analytics – Strategies for Optimizing Student Data on Your Campus

http://www.ala.org/acrl/learninganalytics

Webcast One: Learning Analytics and the Academic Library: The State of the Art and the Art of Connecting the Library with Campus Initiatives
March 29, 2016

Webcast Two: Privacy and the Online Classroom: Learning Analytics, Ethical Considerations, and Responsible Practice
April 13, 2016

Webcast Three: Moving Beyond Counts and Check Marks: Bringing the Library into Campus-Wide Learning Analytics Programs
May 11, 2016

digital humanities for librarians

Introduction to Digital Humanities for Librarians

Instructor: John Russell

Dates: April 4-29, 2016

Credits: 1.5 CEUs

Price: $175

http://libraryjuiceacademy.com/112-digital-humanities.php

Digital humanities (DH) has been heralded as the next big thing in humanities scholarship and universities have been creating initiatives and new positions in this field. Libraries, too, have moved to create a presence in the digital humanities community, setting up centers and hiring librarians to staff them. This course is designed as an introduction for librarians or library school students who have little or no exposure to DH and wish to be better positioned to offer DH support or services in a library setting. Participants will read and discuss DH scholarship, learn about frequently-used software, and think about why and how libraries and librarians engage DH. While I will encourage participants to explore more complex computing approaches (and I will support those who do as best I can), this course does not presuppose computing skills such as programming or use of the command line and will not ask participants to do much more than upload files to websites or install and use simple programs. Participants should have an interest and background in humanities scholarship and humanities librarianship and while the readings will focus on activities in the United States, our discussions can be more geographically wide-ranging.

Objectives:

– A basic knowledge of what digital humanities is and how it effects scholarship in the humanities disciplines.

– Exposure to core tools and approaches used by digital humanists.

– An understanding of how libraries and librarians have been involved with digital humanities.

– Critical engagement with the role of librarians and libraries in digital humanities.

This class has a follow-up, Introduction to Text Encoding

http://libraryjuiceacademy.com/133-text-encoding.php

John Russell is the Associate Director of the Center for Humanities and Information at Pennsylvania State University. He has been actively involved in digital humanities projects, primarily related to text encoding, and has taught courses and workshops on digital humanities methods, including “Introduction to Digital Humanities for Librarians.”

Read an interview with John Russell about this class:

http://libraryjuiceacademy.com/news/?p=769

You can register in this course through the first week of instruction (as long as it is not full). The “Register” button on the website goes to our credit card payment gateway, which may be used with personal or institutional credit cards. (Be sure to use the appropriate billing address). If your institution wants us to send a billing statement or wants to pay using a purchase order, please contact us by email to make arrangements: inquiries@libraryjuiceacademy.com

Introduction to Text Encoding

Instructor: John Russell

Dates: May 2-27, 2016

Credits: 1.5 CEUs

Price: $175

This course will introduce students to text encoding according to the Text Encoding Initiative (TEI) Guidelines. Why should you care about text encoding or the TEI Guidelines? The creation of digital scholarly texts is a core part of the digital humanities and many digital humanities grants and publications require encoding texts in accordance with the TEI Guidelines. Students in this course will learn about the use-cases for text encoding and get a basic introduction to the principles of scholarly editing before moving on to learning some XML basics and creating a small-scale TEI project using the XML editor oXygen. We will not cover (beyond the very basics) processing TEI, and students interested in learning about XSLT and/or XQuery should turn to the LJA courses offered on those subjects. Participants should have some experience with digital humanities, as this course is intended as a follow up to the Introduction to Digital Humanities for Librarians course.

Objectives:

  • A basic understanding of digital scholarly editing as an academic activity.
  • Knowledge of standard TEI elements for encoding poetry and prose.
  • Some engagement with more complex encoding practices, such as working with manuscripts.
  • An understanding of how librarians have participated in text encoding.
  • Deeper engagement with digital humanities practices.

John Russell is the Associate Director of the Center for Humanities and Information at Pennsylvania State University. He has been actively involved in digital humanities projects, primarily related to text encoding, and has taught courses and workshops on digital humanities methods, including “Introduction to Digital Humanities for Librarians.” Interview with John Russell

Course Structure

This is an online class that is taught asynchronously, meaning that participants do the work on their own time as their schedules allow. The class does not meet together at any particular times, although the instructor may set up optional synchronous chat sessions. Instruction includes readings and assignments in one-week segments. Class participation is in an online forum environment.

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Spatial Data Analyst & Curator

University Libraries / U-Spatial

University of Minnesota

 

Overview

The University of Minnesota Libraries and U-Spatial (https://uspatial.umn.edu/) seek a knowledgeable and proactive Spatial Data Analyst & Curator to advance the Libraries’ efforts in the areas of geospatial projects, geospatial data curation and management, and digital spatial humanities. Residing in the John R. Borchert Map Library, the Spatial Data Analyst & Curator works under the management and direction of the University Libraries, which holds institutional responsibility for supporting the products and processes of scholarship through the collection, provisioning, and preservation of information resources in all formats and media. As such, the work of the Spatial Data Analyst & Curator uses a life-cycle data management approach to serve the specific needs of the spatial data creator/user community while ensuring that processes and methods employed are strongly aligned with enterprise strategies and systems.

Required Qualifications include a Master’s degree in library/information science from an American Library Association accredited library school, GIS-related field, or equivalent combination of advanced degree and relevant experience, as well as experience with geographical information systems, including/especially Esri’s ArcGIS software, experience with scripting languages, such as Python or JavaScript, and experience with metadata creation, schema, and management.

 

For complete description, qualifications and to apply, go to: http://z.umn.edu/ulib362

 

The University of Minnesota is an Equal Opportunity Educator and Employer.

 

 

Ryan Mattke

Head, John R. Borchert Map Library

University of Minnesota
S-76 Wilson Library

309 19th Ave South

Minneapolis, MN 55455

Email: matt0089@umn.edu

Web: http://www.lib.umn.edu/borchert

Phone: 612.624.5757
ORCID: http://orcid.org/0000-0001-8816-9289

value rubrics

Connecting the Dots
Assessing Student Work Using the VALUE Rubrics
1:00 – 4:00
In this session, we will focus on assessing student work using the VALUE Rubrics.
Together, we will look at common work samples from students at different points in
their academic trajectory. We will identify evidence of critical thinking, quantitative
literacy, written communication, and civic engagement from those samples.
We will then connect that evidence to the appropriate domains and levels on
the VALUE rubrics. And we will consider the implications of what we learn for
our own practice in the classroom.

my notes

viewer people than i expected.

group work, our group was charged with connecting the dots: assessing student work using the value rubrics

written communication value rubric

 

competency-based education

TCC 2016 cordially invites you to join a FREE special pre-conference webinar on competency-based education (CBE).

Unpack CBE
During this session, Diane Singer from Bandman University, and Susan Manning from the University of Wisconsin at Stout, discuss the meaning and processes behind CBE, with a specific eye to how the assessment and recognition of competencies benefit various stakeholders, including business and industry.

Date & time:

March 16, 2:00 PM Hawaii; 6:00 PM Mountain; 8:00 PM Eastern

March 17, 9:00 AM Tokyo & Seoul; 11:00 AM Sydney, Feb. 26

 

Other timezones:

http://bit.ly/tcc16precon2-unpackCBE

 

Full information:

http://2016.tcconlineconference.org/unpacking-cbe/

RSVP for this FREE session!

If you wish to participate, please RSVP. A reminder will be sent a few days prior along with instructions to sign-in.

http://bit.ly/tcc2016precon2-rsvp

The 21st Annual TCC Worldwide Online Conference: April 19-21, 2016
TCC, Technology, Colleges and Community, is a worldwide online conference attended by university and college personnel including faculty, academic support staff, counselors, student services personnel, students, and administrators.

More on competency-based learning in this IMS blog:
https://blog.stcloudstate.edu/ims/?s=competency+based+learning&submit=Search

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webinar archived recording:

http://2016.tcconlineconference.org/make-the-future/

Make the Future! Create a Virtual Makerspace

Join us as we explore hosting a virtual makerspace. During this session, we explain and discuss makerspaces and how to leverage the maker movement in online education.Do you have an activity, project, creation or game that you’d like to share? Show your ideas and creations by sharing your links, favorite tools, and wonderful stories.

Recorded on February 25, 2016

Presenter

Dr. Cynthia Calongne
CTU Doctoral Program | ccalongne@ctuonline.edu
Twitter and Skype: @lyrlobo

organization of info across apps and platforms

Event: FridayLive! A Way through the Information Jungle: February 26th
Date: 26 Feb 2016 2:00 PM –  EST

LOGIN INFORMATION:
To login to FridayLive! on February 26, 2016 starting at 1:30 pm ET
Join from PC, Mac, Linux, iOS or Android:
1st try this short URL: tlt/gs/zoom
2nd try https://zoom.us/j/2758853550
Meeting ID: 275 885 3550
https://zoom.us/j/2758853550

Description

Ever wonder if there is a better way to manage all the information to which we have access. We want to find it, filter it, organize it, consume it, store it, share it – on and offline – across all our devices –  and save time and effort while we do it all.

Our guests for this session will share their work flows and associated applications they have found to be successful such as Pocket, Feedly, Evernote, DIIGO, INNO reader, etc. There will also be an opportunity for participants to share their works flows.
The TLT Group
301-270-8312

https://www.netvibes.com/en

https://gmail.powerbotapps.com/#main

https://www.wunderlist.com/

http://moocie.org/curating-tools/

http://webtools4u2use.wikispaces.com/Curation+Tools

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