p. 1 definition of social media for libraries
six primarytypes exist: “collaborative projects, blogs, content communities, social networking sites,” and two types of virtual worlds: “virtual game worlds, which ask users to follow the rules of the game, and virtual social worlds, wherein users can behave without rules in almost any way they like” (Kaplan and Haenlein, 2010: 59) it is not that I disagree with such definition, but i wish there was a “door” mentioning “flexibility” and “necessity to reassess” what social media is every year, 3 year, 5 years
p. 2 definition what is strategic planning
identify the needs of your target audiences,
identify the ways in which you can meet those needs, and
identify ways to respond confidently and proactively to changesin those needs.
Where the organization is
Where the organization should go
How the organization can get there (McNamara, 2011)
It must be:
Flexible
Based on data
Maintainable
Regularly cared for
covers and confirms my notes to the SCSU library use of its social media:
p. 83 ask uncomfortable questions
in planning, we must be prepared to ask, critically consider and answer questions that make us uncomfortable (not only that I was not let to ask questions, I was ousted from any body that was making decisions regarding social media. I was openly opposed and rebuked for asking why 3 reference librarians will keep the passwords to the account for the library SM)
p. 83 Communicate
If your team communicates honestly and thoroughly, then positive feelings and advocates for your social media endeavors will grow. In the span of 6 months, I had to ask three times where are the notes of the social media committee kept and eventually i will receive an answer, which in it nebulous and apologetic form was practically not an answer.
p. 83 Don’t rush to conclusions
Satisficing often works, but it can also lead to conclusions that are less then optimal. In the fall of 2013, I had to fight an overwhelming majority opposing my proposal that social media needs to include student representation, since SM is about dialog, not broadcasting (see page 86) and the current staff and faculty see SM as another form of broadcasting. In the span of six months, by the summer of 2014 library staff and faculty had fallen in the other extreme, letting one single student run all library SM. That student did/could not have understanding of the scope and goals of the library resulting in satisficing.
p. 84 aim for consensus, but don’t require it Consensus was the leitmotiv of the dean; it failed in general, and it failed in SM.
p. 84 get an external reviewer
p. 84 value and celebrate small success
a strategic plan will be realized through a series of small actions, not one or two pivotal plots.
p. 84 create accountability
p. 86 maintain a consistent tone and brand
visual and tone based consistency. This library DOES maintain consistency by posting Instagram pictures of people covering their faces with books, so part of their face compliments a face on cover of books. It is done by other libraries and it would have been cute and original if not overdone. If the SM activities of a library consist mostly of such activities then the “branding” part definitely is hurt. Yet, the faculty in this library vehemently adhere to “let’s see what other libraries are doing,” but does not understand that it needs further conceptualizing to figure out how to transform into “brand.”
p. 86 capitalize on the strengths of social media
“in many cases, business and libraries use SM exactly as they use their websites: to push content. This has been the main criticism from the start: the three reference librarians holding the passwords to the SM account were using Facebook as a announcement board and kept dormant the other accounts. The resolution of the library faculty who was called to arbitrate the argument with these three librarian: “I don’t understand very well Facebook.” The interim dean, who, subsequently had to resolve this dispute: “I don’t use Facebook.”
p. 87 Metrics
Analyze and tweak plan
measuring success is about maximizing time and efforts, not about laying blame for shortcomings or failures. this applies to daily tasks and responsibilities and shuffling time, but when the organization does not have a clear overarching goal and clear strategy how to achieve it, then issues must be raised up. which leads to:
p. 92 Plan for conversation
the inclusion of conversation. incorporate your patrons as primary content creators (not appointing just a single student worker to broadcast)
p. 92 use SM as an assessment or feedback tool
p. 93 plan to monitor your brand
if you decide to start watching these types of mentions, you’ll want to consider whether you’ll adopt a passive or an active role in responding to them.
Revenues for self-paced e-learning in 2016 are heavily concentrated in two countries — the United States and China. The growth rate in the U.S. is at -5.3 percent, representing a $4.9 billion drop in revenues by 2021, while in China, the rate is at -8.8 percent, representing a $1.9 billion drop by 2021. The e-learning market in China has deteriorated rapidly in just the last 18 months, the report said.
Of the 122 countries tracked by Ambient Insight, 15 have growth rates for self-paced e-learning over 15 percent during the next five years. These countries are heavily concentrated in Asia and Africa, with the two outliers being Slovakia and Lithuania.
Eleven of the top 15 growth countries will generate less than $20 million by 2021. Of the top 15, Slovakia and Lithuania are anticipated to generate the highest revenues for self-paced products by 2021, at $55.4 million and $36.5 million, respectively.
The growth rates are negative in every region except Africa, where the growth is flat at 0.9 percent. The steepest declines are in Asia and Latin America at -11.7 percent and -10.8 percent, respectively. The economic meltdowns in Brazil and Venezuela are major inhibitors in Latin America.
There are 77 countries with flat-to-negative growth rates. The countries with the lowest growth rates are Yemen (-18.7 percent), Brazil (-19.8 percent), Qatar (-23.5 percent) and Venezuela (-26.8 percent).
Self-paced e-learning products include online courses, managed education services, managed training, e-books and learning management systems, according to the report. The author does not consider mobile and game-based learning, which are growing, to be in the self-paced e-learning category.
The news on the self-paced e-learning industry is so bad, Ambient Insight will no longer publish commercial syndicated reports on the industry, the firm says on its website and in the report.
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.
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
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.
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.
VR’s applications for education have been much lauded, and tech heavyweights have begun investing in the technology, in part to both enable and capitalize on educational opportunities. Google, for example, has been offering its low-cost Google Cardboard kits, which, coupled with the Google Expeditions service, provides VR-based educational experiences and learning activities.
according to market research firm ABI Research, some 6 million consumer and prosumer cameras are expected to ship by 2021. (That’s out of a total of 70 million VR devices that are forecast to ship by then.)
enerally speaking, Google has very limited interest in making hardware in the first place. The cost of building things is high, the margins are low, and Google’s real specialty is in web services like Gmail and search anyway.
the real business opportunity for Google is to compel a broad range of companies to create gadgets and home appliances using its software. The hardware is secondary. In fact, building its own hardware can even work against Google: The more successful Google is at selling its own hardware, the less likely other hardware makers want to use its software, since they view Google as a competitor.
Putting all its efforts behind expanding and extending Android has made Google a top player in the smartphone market, even after its late start against Apple and the iPhone.
Call for Papers The Journal of Emerging Learning Design special issue: The Digital Humanities
Submissions due date
On/before November 14, 2016.
Editors Jerry Alan Fails (Boise State University) and AJ Kelton (Montclair State University)
Introduction The Journal of Emerging Learning Design is pleased to announce the Call for Papers for its first Special Issue: The Digital Humanities.
With roots reaching back as far as 1940, the term Digital Humanities came into wide usage in late 2012 and has slowly risen in popularity since then. A Google Scholar search for “digital humanities” yields just under 30 results during the year 2000 and over 4,700 during 2015. The increase in the number of published articles in 15 years is second only to the diversity of the research that is included.
About the ELDj
The Journal of Emerging Learning Design (ELDj) is an open access, peer-reviewed, online journal that provides a platform for academics and practitioners to explore emerging learning design theories, concepts, and issues and their implications at national and international levels.
An outgrowth of the annual Emerging Learning Design Conference, which makes its home at Montclair State University (MSU), the ELDj invites scholarly communication in the emerging learning design field and will present best practices in design and implementation by offering articles that present, propose, or review engaging and dynamic approaches to pedagogy and how technology can better enhance it.
The ELDj has purposefully kept the focus of the theme for this special issue broad. The intent is to continue to break down traditional academic silos and allow for an open dialogue and sharing with respect to what is considered the Digital Humanities. ELDj is intentionally taking a broad consideration for what is included in the digital humanities with the clear understanding that this issue, and the articles within, will contribute to this growing field and provide a groundwork for further reflection and research.
Timeline
Deadline for Submission: November 14, 2016
Notification of Acceptance: March 1st, 2017
Final Revised Submission: April 21, 2017
Publication: June 2, 2017
Publication and Presentation
The issue will be published prior to, and featured at, the 7th Annual Emerging Learning Design Conference (ELDc17) on June 2nd, 2017.
Based on when a submission is accepted, authors may be offered the opportunity to present their research at the 7th Annual Emerging Learning Design Conference in June, 2017. Presentations must be given in an appropriate presentation format for the conference: panel (full conference audience), workshop (120 minutes), concurrent (45 minutes), or Sparks! (5 minutes to full conference audience).
Submission Details
Manuscripts should be the appropriate length for the material being presented.
Full paper manuscripts can vary from 2500-4500 words in addition to an abstract of 250 words and a works cited section of appropriate length.
Briefs or Trends papers have a limit of 1000 words.
A description of each type of submission and guidelines can be found at http://eldj.montclair.edu/submission-guidelines/ELDj uses a double-blind, peer-review process. Submissions should not have been published previously or be under consideration for publication elsewhere. Authors should review the above linked guidelines for important and relevant information.
Submissions should be sent to eldj@mail.montclair.edu: questions and information requests may be sent to the Editors at the same address.
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more on digital humanities and publications for digital humanities in this IMS blog
4-week eCourse Beginning Monday, September 12, 2016
E-government tools and resources bring many people to your library for such activities as filing and paying taxes online, locating Medicare/Medicaid providers and reviews, checking student loan status, tracking regulatory changes for industries, monitoring ongoing legislation as well as codified law and court rulings, and much more. This hands-on eCourse also explores the information published online by the U. S. federal government through the Government Printing Office and specific agencies and government branches.
Experienced online instructor and consultant Diane Kovacs covers the best sites to begin researching for government information in general and specifically for business, healthcare, genealogy, history, current government, legal, regulatory, taxes, retirement, insurance, and state and local government information.
The purely episodic nature of Snapchat works to promote timely engagement and audience retention through consistent sharing of snaps. By combining the longevity of your feed posts with the 24-hour duration of your story segments, you can generate urgency while providing consistent and engaging content for your Instagram followers. Bottom line: Snapchat relies on 24-hour stories from users, providing content that is purely episodic and temporary to viewers. Instagram content can be delivered episodically through stories or more permanently through the feed.
#2: How Filters Compare
Snapchat Geofilters for Location-Based Snaps
When you want a customized geofilter to reflect an event or location, Snapchat geofilters will frame your image or video snaps with branding and themes. While large organizations often sponsor geofilters on a bigger scale (think the Olympics or national holidays), Snapchat also lets you create and use your own geofilter.
Snapchat Face-Mapping and Motion Filters for Creative Snaps
Instagram Filters for Various Coloring Effects
Bottom line: Instagram story filters are limited to overall color, contrast, and lighting adjustments. Snapchat filters provide more options for customization, motion, and branding from the filters themselves.
#3: How Hashtags Work
At present, you can use hashtags in your Instagram and Snapchat stories to indicate segment topics or commentary. However, the hashtags don’t provide any functionality for users. In other words, users can’t tap a hashtag to search for that term within the app.
Beyond social media, there is also a clear disconnect between how college admins reach out to their students and what students actually pay attention to. While the average college admin, like most adults, is used to reading and sending emails, students are quickly moving away from using email in their daily lives and getting them to check it regularly is painful.
A fantastic New York Times article in the fall examined college student use of technology and the results were fascinating.
While some faculty members are hesitant to contact students on whichever social media platform is in vogue, others have explored texting as an alternative to email.
The paper, which is being presented at next month’s Information and Telecommunications Education and Research Association conference, also recommends colleges should consider using texting and social media platforms to reach students. However, the findings still suggest email can be an effective method of communication.
How Millennials use and control social media, Published
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Social Media Usage Trends Among Higher Education Faculty ;
Yochai Benklerexplains: “The various formats of the networked public sphere provide anyone with an outlet to speak, to inquire, to investigate, without need to access the resources of a major media organization.”
Democratic bodies are typically elected in periods of three to five years, yet citizen opinions seem to fluctuate daily and sometimes these mood swings grow to enormous proportions. When thousands of people all start tweeting about the same subject on the same day, you know that something is up. With so much dynamic and salient political diversity in the electorate, how can policy-makers ever reach a consensus that could satisfy everyone?
At the same time, it would be a grave mistake to discount the voices of the internet as something that has no connection to real political situations.
What happened in the UK was not only a political disaster, but also a vivid example of what happens when you combine the uncontrollable power of the internet with a lingering visceral feeling that ordinary people have lost control of the politics that shape their lives.
Polarization as a driver of populism
People who have long entertained right-wing populist ideas, but were never confident enough to voice them openly, are now in a position to connect to like-minded others online and use the internet as a megaphone for their opinions.
The resulting echo chambers tend to amplify and reinforce our existing opinions, which is dysfunctional for a healthy democratic discourse. And while social media platforms like Facebook and Twitter generally have the power to expose us to politically diverse opinions, research suggests that the filter bubbles they sometimes create are, in fact, exacerbated by the platforms’ personalization algorithms, which are based on our social networks and our previously expressed ideas. This means that instead of creating an ideal type of a digitally mediated “public agora”, which would allow citizens to voice their concerns and share their hopes, the internet has actually increased conflict and ideological segregation between opposing views, granting a disproportionate amount of clout to the most extreme opinions.
The disintegration of the general will
In political philosophy, the very idea of democracy is based on the principal of the general will, which was proposed by Jean-Jacques Rousseau in the 18th century. Rousseau envisioned that a society needs to be governed by a democratic body that acts according to the imperative will of the people as a whole.
There can be no doubt that a new form of digitally mediated politics is a crucial component of the Fourth Industrial Revolution: the internet is already used for bottom-up agenda-setting, empowering citizens to speak up in a networked public sphere, and pushing the boundaries of the size, sophistication and scope of collective action. In particular, social media has changed the nature of political campaigning and will continue to play an important role in future elections and political campaigns around the world.
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more on the impact of technology on democracy in this IMS blog:
