Here is the archived copy of the live session:
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round table digital literacy. Jeff Plaman Dept of Education
SIG MN Literacy council
elearning strategies, embedding into faculty curriculum digital literacy.
microcredentials dissertation for professional development. how about grading
definition: where does it start and where does it end. what should people know and able to do. credibility of sources,
digital skills is the how, digital literacy is the what where
eshel alkalai read her
how do we assess disparities in digital literacy.
assignment banks. conceptual framework, where does it fit.
K12 technology mini-sessions. people are scared of acronyms. culture change. immediate win.
not digital feed but digital stream.
Enhanced ebooks
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Rob Bylik Eros? for geo
open stacks, open textbooks library. loadstar, indesign
Arshad, M., & Akram, M. S. (2018). Social Media Adoption by the Academic Community: Theoretical Insights and Empirical Evidence From Developing Countries.
The International Review of Research in Open and Distributed Learning,
19(3). Retrieved from
http://www.irrodl.org/index.php/irrodl/article/view/3500
Building on the social constructivist paradigm and technology acceptance model, we propose a conceptual model to assess social media adoption in academia by incorporating collaboration, communication, and resource sharing as predictors of social media adoption, whereas perceived ease of use and perceived usefulness act as mediators in this relationship.
According to the latest social media statistics, there are more than 2 billion Facebook users, more than 300 million Twitter users, more than 500 million Google+ users, and more than 400 million LinkedIn users (InternetLiveStats, 2018).
although social media is rapidly penetrating into the society, there is no consensus in the literature on the drivers of social media adoption in an academic context. Moreover, it is not clear how social media can impact academic performance.
Social media platforms have significant capability to support the social constructivist paradigm that promotes collaborative learning (Vygotsky, 1978).
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- Perceived usefulness (PU) – This was defined by Fred Davis as “the degree to which a person believes that using a particular system would enhance his or her job performance“.
- Perceived ease-of-use (PEOU) – Davis defined this as “the degree to which a person believes that using a particular system would be free from effort” (Davis 1989).
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. MIS Quarterly, 27(3), 425-478.
http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3daph%26AN%3d10758835%26site%3dehost-live%26scope%3dsite
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proposing a Social Media Adoption Model (SMAM) for the academic community
Social media platforms provide an easy alternative, to the academic community, as compared to official communications such as email and blackboard. my note: this has been established as long as back as in 2006 – https://www.chronicle.com/article/E-Mail-is-for-Old-People/4169. Around the time, when SCSU announced email as the “formal mode of communication).Thus, it is emerging as a new communication and collaboration tool among the academic community in higher education institutions (Roblyer, McDaniel, Webb, Herman, & Witty, 2010). Social media has greatly changed the communication/feedback environment by introducing technologies that have modified the educational perspective of learning and interacting (Prensky, 2001).
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Theory of Reasoned Action : https://en.wikipedia.org/wiki/Theory_of_reasoned_action
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the Theory of Reasoned Action (Fishbein & Ajzen, 1975) and the Technology Acceptance Model (Davis, 1989) have been used to assess individuals’ acceptance and use of technology. According to the Technology Acceptance Model, perceived usefulness and perceived ease are the main determinants of an individual’s behavioral intentions and actual usage (Davis, 1989).
Perceived usefulness, derived from the Technology Acceptance Model (TAM), is the particular level that an individual perceives that they can improve their job performance or create ease in attaining the targeted goals by using an information system. It is also believed to make an individual free from mental pressure (Davis, 1989).
Perceived ease of use can be defined as the level to which an individual believes that using a specific system will make a task easier (Gruzd, Staves, & Wilk, 2012) and will reduce mental exertion (Davis, 1989). Venkatesh (2000) posits this construct as a vital element in determining a user’s behavior toward technology. Though generally, there is consensus on the positive effect of perceived ease of use and perceived usefulness on users’ attitude towards social media, it is not yet clear which one of these is more relevant in explaining users’ attitude towards social media in the academic community (Lowry, 2002). Perceived ease of use is one of the eminent behavioral beliefs affecting the users’ intention toward technology acceptance (Lu et al., 2005). The literature suggests that perceived ease of use of technology develops a positive attitude toward its usage (Davis, 1989).
Collaborative learning is considered as an essential instructional method as it assists in overcoming the communication gap among the academic community (Bernard, Rubalcava, & St-Pierre, 2000). The academic community utilizes various social media platforms with the intention to socialize and communicate with others and to share common interests (Sánchez et al., 2014; Sobaih et al., 2016). The exchange of information through social media platforms help the academic community to develop an easy and effective communication among classmates and colleagues (Kaplan & Haenlein, 2010). Social media platforms can also help in developing communities of practice that may help improve collaboration and communication among members of the community (Sánchez et al., 2014). Evidence from previous work confirms that social media platforms are beneficial to college and university students for education purposes (Forkosh-Baruch & Hershkovitz, 2012). Due to the intrinsic ease of use and usefulness of social media, academics are regularly using information and communication technologies, especially social media, for collaboration with colleagues in one way or the other (Koh & Lim, 2012; Wang, 2010).
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more about social media in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media+education
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On behalf of the 2018 LITA Library Technology Forum Committee, I am pleased to notify you that your proposal, “Virtual Reality (VR) and Augmented Reality (AR) for Library Orientation: A Scalable Approach to Implementing VR/AR/MR in Education”, has been accepted for presentation at the 2018 LITA Library Technology Forum in Minneapolis, Minnesota (November 8-10).
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Mark Gill and Plamen Miltenoff will participate in a round table discussion Friday. November 9, 3:30PM at Haytt Regency, Minneapolis, MN. We will stream live on Facebook: https://www.facebook.com/InforMediaServices/
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Notes from the Forum
Risk and Reward: Public Interest and the Public Good at the Intersection of Law, Tech, and Libraries
https://thatandromeda.github.io/forum18_schedule/
Blog: Copyright Librarian; Twitter: @CopyrightLibn
U of MN has a person, whose entire job is to read and negotiate contracts with vendors. No resources, not comfortable to negotiate contracts and vendors use this.
If you can’t open it, you don’t own it. if it is not ours… we don’t get what we don’t ask for.
libraries are now developing plenty, but if something is brought in, so stop analytics over people. Google Analytics collects data, which is very valuable for students. bring coherent rink of services around students and show money saving. it is not possible to make a number of copyright savings. collecting such data must be in the library, not outside. Data that is collected, will be put to use. Data that is collected, will be put to uses that challenge library values. Data puts people at risk. anonymized data is not anonymous. rethink our relationship to data. data sensitivity is contextual.
stop requiring MLSs for a lot of position. not PhDs in English, but people with specific skills.
perspective taking does not help you understand what others want. connection to tech. user testing – personas (imagining one’s perspective). we need to ask, better employ the people we want to understand. in regard of this, our profession is worse then other professions.
pay more is important to restore value of the profession.
https://docs.google.com/document/d/1lLHP2TZnmrRodSdulPPOruEeF20iwF5zw6h5aOV8ogg/edit
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Library System Migrations: Issues and Solutions
https://drive.google.com/open?id=109w_NU3zki_A6Fukpa50zzGJdgazbVSKqf7zAoYaKsc
from Sierra to Alma. SFX. number of challenges
Stanford – Folio, Cornell, Duke and several others. https://www.folio.org/ Alma too locked up for Stanford.
Easy Proxy for Alma Primo
Voyager to OCLC. Archive space from in-house to vendor. Migration
Polaris, payments, scheduling, PC sign up. Symphony, but discussing migration to Polaris to share ILS. COntent Diem. EasyProxy, from Millenium no Discovery Layer to Koha and EDS. ILL.
WMS to Alma. Illinois State – CARLY – from Voyager to Alma Primo. COntent Diem, Dynex to Koha.
Princeton: Voyager, migrating Alma and FOlio. Ex Libris. Finances migrate to PeopleSoft. SFX. Intota
RFPs – Request for Proposals stage. cloud and self-hosted bid.
Data Preparation. all data is standard, consistent. divorce package for vendors (preparing data to be exported (~10K). the less to migrate, the better, so prioritize chunks of data (clean up the data)
Data. overwhelming for the non-tech services. so a story is welcome. Design and Admin background, not librarian background, big picture, being not a librarian helps not stuck with the manusha (particular records)
teams and committees – how to compile a great team. who makes the decision. ORCHID integration. Blog or OneNote place to share information. touch base with everyone before they come to the meeting. the preplanning makes large meetings more productive.
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Using Design Thinking — Do we really want a makerspace?
makerbot replicator 3d printer
one touch studio 4 ready record studio. data analytics + several rooms to schedule.
lighting turned on when USB drive inserted.
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2:30 – 2:50
Talk To the Phone (Because the Human Is Overwhelmed)
Google physical web beacons, NFC lables, QR codes, Augmented Reality. magnetic position. nearby navigations
Great River Children’s Exploratorium
Where play and learning meet
https://www.facebook.com/greatriverce/
A non-profit organization developing a children’s museum to serve the greater St. Cloud community and Central Minnesota. Explore ways you can get involved in making this dream a reality.
Where Should You Use Instagram Hashtags – in the Post or Comments?
Nathan Mendenhall
Instagram has done some tweaking of their
algorithm which is making competition for visibility on the platform much tougher. According to our Facebook connections, this is a deliberate move to help reduce the spammy and less relevant behavior of certain Instagram accounts.
a great
study that analyzed the content performance of Instagram posts when the hashtags are placed in the post compared to when hashtags are placed in the comments.
Including hashtags in the post resulted in 9.84% more Likes and 29.4% more Reach. Placing the hashtags in the comments resulted in 19.3% more comments for some strange reason.
Placing hashtags in the Instagram post resulted in 18% better content performance metrics. While this might seem like a slim margin, you must consider the extra time and steps it would take to go back and remember to add hashtags into your posts’ comments.
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more on hashtags in this IMS blog
https://blog.stcloudstate.edu/ims?s=hashtag
more on Instagram hashtags in this IMS blog
https://blog.stcloudstate.edu/ims?s=instagram+hashtag