Searching for "big data"
http://2016libtechconference.sched.org/event/69f9/come-on-down-gaming-in-the-flipped-classroom#
Instruction and Liaison Librarian, University of Northern Iowa
games and gamification. the semantics are important. using the right terms can be crucial in the next several years.
gamification for the enthusiasm. credit course with buffet. the pper-to-peer is very important
gaming types
affordability; east to use; speed to create.
assessment. if you want heavy duty, SPSS kind of assessment, use polldaddy or polleverywhere.
Kahoot only Youtube, does not allow to upload own video or use Kaltura AKA Medispace, text versus multimedia
Kahoot is replacing Voicethread at K12, use the wave
Kahoot allows to share the quizzes and surveys
Kahoot is not about assessment, it is not about drilling knowledge, it is about conversation starter. why do we read an article? there is no shame in wrong answer.
the carrot: when they reach the 1000 points, they can leave the class
Kahoot music can be turned off, how short, the answers are limited like in Twitter
Quizlet
screenshot their final score and reach 80%
gravity is hard, scatter start with. auditory output
drill game
Teach Challenge.
1st day is Kahoot, second day is Team challange and test
embed across the curriculum
gaming toolkit for campus
what to take home: have students facing students from differnt library
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http://sched.co/69f2
Putting it all together: a holistic approach to utilizing your library’s user data for making informed web design decisions
In the age of Big Data, there is an abundance of free or cheap data sources available to libraries about their users’ behavior across the many components that make up their web presence. Data from vendors, data from Google Analytics or other third-party tracking software, and data from user testing are all things libraries have access to at little or no cost. However, just like many students can become overloaded when they do not know how to navigate the many information sources available to them, many libraries can become overloaded by the continuous stream of data pouring in from these sources. This session will aim to help librarians understand 1) what sorts of data their library already has (or easily could have) access to about how their users use their various web tools, 2) what that data can and cannot tell them, and 3) how to use the datasets they are collecting in a holistic manner to help them make design decisions. The presentation will feature examples from the presenters’ own experience of incorporating user data in decisions related to design the Bethel University Libraries’ web presence.
http://tinyurl.com/jbchapf
data tools: user testing, google analytics, click trakcer vendor data
- user testing, free, no visualization, cross-domain, easy to use, requires scripts
qualitative q/s : why people do what they do and how will users think about your content
3 versions: variables: options on book search and order/wording of the sections in the articles tab
Findings: big difference between tabs versus single-page. Lil difference btw single-page options. Take-aways it won’t tell how to fix the problem, how to be empathetic how the user is using the page
Like to do in the future: FAQ and Chat. Problem: low use. Question how to make it be used (see PPT details)
- Crazy Egg – Click Trackers. not a free tool, lowest tier, less $10/m.
see PPT for details>
interaction with the pates, clicks and scrollings
- scroll analytics
not easy to use, steep learning curve
“blob” GAnalytics recognize the three different domains that r clicked through as one.
- vendor data: springshare
chat and FAQ
Libguides
questions:
is there a dashboard tool that can combine all these tools?
optimal workshop: reframe, but it is more about qualitative data.
how long does it take to build this? about two years in general, but in the last 6 months focused.
digital literacy planning tool
Definition:
Digital literacy = technology use + critical thinking + social awareness
7 characteristics of a digital mindset
https://www.peoplematters.in/article/hr-technology/7-characteristics-digital-mindset-12980
The digital five forces – Social Media, Big Data, Mobility and Pervasive Computing, Cloud, and AI and Robotics – are disintermediating, disrupting and deconstructing the old world order.
Abundance Mindset
Growth Mindset
Agile Approach
Comfort with Ambiguity
Explorer’s Mind
Collaborative Approach
Embracing Diversity
Scientific Studies on Literacy and Digital Literacy Indexed in Scopus: A Literature Review (2000-2013)
Conclusions:
the study of digital tools linked to these new literacies is absolutely necessary, particularly because Web 2.0 allow users to interact and cooperate together as content creators in a virtual community. Although this concept may suggest a new version of the World Wide Web (WWW), it really does not refer to an update of the technical features, but rather to the changes concerning the use and interaction through the Web.
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More on digital literacy in this blog:
https://blog.stcloudstate.edu/ims/?s=digital+literacy&submit=Search
#digilit
https://smaudience.surveymonkey.com/webinar-google-mobile-surveys.html
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Join Mario Callegaro, Senior Survey Research Scientist at Google UK, and one of own survey research scientists, Sarah Cho, on February 24 at 10 am PT / 1 pm ET for our webinar, Market research surveys gone mobile: Optimizing for better results.
Mario Callegaro
Senior Survey Research Scientist
Quantitative Marketing Team, Google UK
Sarah Cho
Survey Research Scientist
SurveyMonkey
.My notes from the Webinar.
Surveys uncover the WHY. Big Data,
why mobile matters. tablet and smart phone penetration: around 60-80% in Europe. According to Pew In the US, 68% smartphone and 45% tablet
faster reaction but longer questionnaire completion time on smartphones = device effects
survey design device vs. survey take device – mismatch. When there is a mismatch, questions are asked.
5 strategies to handle mobile phone respondents: 1. do nothing
surveym0nkey: do all surveys have to be mobile optimized? no, so make sure you think about the context in which you are sending out
2. discourage the use of mobile phones for answering 3. optimize the web questionnaire for mobile browsers 4. mobile app
design considerations for multiple devices surveys. two “actors”: survey designer and survey platform
confounds when interpreting findings across devices: use homogeneous population (e.g students)
difference between mouse vs fingers as input devices
what about tablets: as long as flash is not used, tablet is very much the same as laptop/desktop. phablets (iPhone growth of the screen)
mobile survey design tips (Sarah)
multiple choice: ok to use, but keep wording short, format response vertically instead of horizontally.
open-ended q type: hard to type (but no word on voice recognition???)
logo
multimedia: images, clarity, video, avoid (bandwidth constrains), use Youtube, so every device can play it, versus Flash, Java Script etc
testing and length: as usual
URL: as short as possible. consider QR code
growth of survey taking on mobile devices
EDAD 646 tech instruction with Dr. Roger Worner
Based on the documents attached above, and the discussion and work already surrounding these documents, please consider the following flowchart:
study >>> systems theory >>> cybermetrics >>>
SWOT >>> strategic planning >>> task force >>> architect >>>
CM >>> public adviser >>> public polling >>> referendum
During the exercises surrounding the documents above, you have been introduced to various speakers / practitioners, who presented real-life cases regarding:
- business
- transportation https://www.edulog.com/, http://www.tylertech.com/solutions-products/school-solutions/transportation, http://www.busboss.com/
- food service (http://www.foodservicedirector.com/research/big-picture/articles/impact-technology-foodservice)
- building grounds (http://files.eric.ed.gov/fulltext/ED499142.pdf)
- HR (http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dkeh%26AN%3d89941160%26site%3dehost-live%26scope%3dsite)
- others
– the first goal of this technology instruction is to figure out the current state of technology in K12 settings.
assignment:
* split in groups * using each group member’s information and experience about technology in general and technology in school settings, use the flow chart above and identify any known technology, which can improve the process of each step in the flow chart.
* reconvene and compare results among groups. Find similarities and discrepancies and agree on a pool of applicable technology tools and concepts, which can improve the process reflected in the flow chart.
Example how to meet the requirements for the first goal: 1. based on your technological proficiency, how can you aid your study using system thinking/systems approach? the work ahead of you is collaborative. What collaborative tools do you know, which can help the team work across time and space? Skype, Google Hangouts for audio/video/desktopsharing. Google Drive/Docs for working on policies and similar text-based documents.
Work on the following assignment:
Trends in technology cannot be taken separately from other issues and are closely intertwined with other “big” trends :
e.g., mobile workspaces (https://blog.stcloudstate.edu/ims/2015/12/03/mobile-workspaces-on-campus/ ) are part of the larger picture, namely active learning spaces (https://blog.stcloudstate.edu/ims/?s=learning+spaces&submit=Search), which involves, furniture, building construction, etc.
keeping in mind this interdependence / balance, please work in groups on the following questions. Using the available links above and the literature they lead to, as well as your own findings, please provide your best opinion to these questions:
- when planning for a new building and determining learning spaces, what is the percentage of importance, which we place on technology, in relation to furniture, for example?
- how much do teachers have a say in the planning of the building, considering that they had worked and prefer “their type” of learning space?
- who decides what technology and how? how one rationalizes the equation technology = learning spaces = available finances?
- how much outsourcing (consulting) on any of the components of the equation above one can afford / consider? How much weight the strategic planning puts on the consulting (outsourcing) versus the internal opinion (staff and administrators)?
- how “far in the future” your strategic plan is willing / able to look at, in terms of technology – learning spaces?
How to stay current with the technology developments:
– the second goal of this technology instruction is to become acquainted with future technological trends and developments.
https://blog.stcloudstate.edu/ims/2015/11/25/future-trends-in-education/
The New Horizon Report 2015 K12 Edition:
http://k12.wiki.nmc.org/
https://www.graphite.org/ – reviews and ratings for educational materials
ideas:
Are Schools Wasting Moneys on Computers?
https://blog.stcloudstate.edu/ims/2015/12/04/computers-in-education/
5 Disruptive Tech Trends That Could Dominate in 2016
http://www.fool.com/investing/general/2015/09/26/5-disruptive-tech-trends-that-could-dominate-in-20.aspx
Andres Cardenal (IoT). The Internet of Things
Tim Brugger (Big Data): In part because the world around us is becoming “connected” through a growing number of IoT sensors, mobile devices, and the world’s affinity for the Internet, the sheer volume of information available is already staggering.
Daniel B. Kline (endless payment): While subscriptions have always been a factor on the enterprise side of the software business, they’re now moving into the consumer end of things. The leader has been Microsoft (NASDAQ:MSFT), which has managed to move a large part of its Office customer base into a subscription model.
Tim Green (budget smartphones): Zenfone 2 from Asus and the Moto G from Motorola.
Midwest AV Summit
Matthew Clay : Active Learning Spaces
partners across campus for IT/AV: CETL
What is the most important key for creating active learning spaces (ALS).
Mathew shared his work with CETL and his understanding of the importance of faculty being brought to the table. Faculty as equal stakeholder in the process.
In a conversation with him after the presentation, he agreed that faculty must be the leading force in in generating ideas what new technology and how to implement technology in the classroom. He agreed that at the present IT/AV staff is the leading force and this is a corrupt statuquo
key partnerships:
faculty and academic affairs, students, facilities, architects, engineers, contractors, furniture vendors, IT (networking, support instructional design)
challanges: ITS mindset (conservative), Administration must be on board (money), Funding.
MnSCU is not Google friendly. 60% of the staff is not doing the same tasks as 3 years ago.
Open about challenges, sharing more with faculty. Nice to hear this, but the communication must be much larger, to the point when faculty are equal partners in a relationship, which is not far from equal decision making.
If faculty is not considered a REAL stakeholder (versus intimated body in a meeting which is controlled by IT people), the entire technology use goes down the drain. Faculty is much stronger relationship with students then IT is with students. The presentation put weight on IT staff and its connection with students’ needs. It is questionable how IT staff can make stronger connection then faculty, who are in a daily contact with students.
The issue is how to assist faculty to catch up with the technology, not how IT staff to rival faculty in their connection with students. What faculty lacks in understanding of technology cannot be replaced by IT staff increasing interaction with students, but rather assisting faculty with coming to terms with technology.
maintaining innovation: fail fast and fail forward; keep up to date with technology (blank statement); always look for new furniture; focus on space design instead of just A/V; Challenge yourself with new ideas; always learn from your mistakes; always get feedback from students and faculty (again, the PERIPHERAL role of faculty. Is feedback all expected from faculty? It faculty and IT staff must be equal partners at the decision table. not faculty being consulted at decision made by IT staff)
Google Glass mentioned, Pebble watches. supposedly to understand students habits. Big data used to profiling students is very fashionable, but is it the egg in the basket?
they have 3d printer, Inoculus. Makerspace mentioned
examples how to use 3d printing for education (LRS archive collections, MN digital library).
the presenter kept asking if there are questions. it makes me wonder how far back (pedagogically or androgogically) IT staff must be to NOT consider backchanneling. Social media is not a novelty and harvesting opinions and questions using social media should not be neglected
digital classroom breakdown session
Break down session: Digital Classroom
technical, very IT. I am not versed enough to draw impression on how it projects over real faculty work. HDMI cables.
relating to the previous presentation: I really appreciate the IT / AV staff handling all this information, which is complex and important; but during my 15 years tenure at SCSU I learned to be suspicious of when the complexity and the importance of the techy matter starts asserting itself as leading when the pedagogy in the classroom is determined.
HD flow and other hardware and software solutions
VLAN 3. lecture capture.
BYOD support in the classroom: about half of the room raised their hands.
http://mashable.com/2015/01/19/super-mario-artificial-intelligence/
A team of German researchers has used artificial intelligence to create a “self-aware” version of Super Mario who can respond to verbal commands and automatically play his own game.
Artificial Intelligence helps Mario play his own game
Students at the University of Tubingen have used Mario as part of their efforts to find out how the human brain works.
The cognitive modelling unit claim their project has generated “a fully functional program” and “an alive and somewhat intelligent artificial agent”.
http://www.bbc.co.uk/newsbeat/30879456
Can Super Mario Save Artificial Intelligence?
The most popular approaches today focus on Big Data, or mimicking humansthat already know how to do some task. But sheer mimicry breaks down when one gives a machine new tasks, and, as I explained a few weeks ago, Big Data approaches tend to excel at finding correlations without necessarily being able to induce the rules of the game. If Big Data alone is not a powerful enough tool to induce a strategy in a complex but well-defined game like chess, then that’s a problem, since the real world is vastly more open-ended, and considerably more complicated.
http://www.newyorker.com/tech/elements/can-super-mario-save-artificial-intelligence
If Facebook can tweak our emotions and make us vote, what else can it do?
http://www.businessinsider.com/facebook-calls-experiment-innovative-2014-7#ixzz36PtsxVfL
Google’s chief executive has expressed concern that we don’t trust big companies with our data – but may be dismayed at Facebook’s latest venture into manipulation
Please consider the information on Power, Privacy, and the Internet and details on ethics and big data in this IMS blog entry:https://blog.stcloudstate.edu/ims/2014/07/01/privacy-and-surveillance-obama-advisor-john-podesta-every-country-has-a-history-of-going-over-the-line/
important information:
Please consider the SCSU Research Ethics and the IRB (Institutional Review Board) document:
http://www.stcloudstate.edu/graduatestudies/current/culmProject/documents/ResearchEthicsandQualitative–IRBPresentationforGradStudentsv2.2011.pdf
For more information, please contact the SCSU Institutional Review Board : http://www.stcloudstate.edu/irb/default.asp
The Facebook Conundrum: Where Ethics and Science Collide
http://blogs.kqed.org/mindshift/2014/07/the-facebook-conundrum-where-ethics-and-science-collide
The field of learning analytics isn’t just about advancing the understanding of learning. It’s also being applied in efforts to try to influence and predict student behavior.
Learning analytics has yet to demonstrate its big beneficial breakthrough, its “penicillin,” in the words of Reich. Nor has there been a big ethical failure to creep lots of people out.
“There’s a difference,” Pistilli says, “between what we can do and what we should do.”
10 technology hallmarks for every campus
http://www.ecampusnews.com/technologies/technology-hallmarks-campus-099
1. High-speed wireless broadband.
According to the Center for Digital Education’s recent “2013 Yearbook: Technology Innovation in Education,” over 80 percent of education institutions surveyed said that wireless broadband was their “top priority for IT investment.”
2. 24/7 IT support.
We have 24/7 support for emergencies and much of our staff, just like at a hospital, are on call. That’s not a perk for the campus, it’s a necessity.
3. The cloud.
The cloud can also: acquire and implement the latest software and application updates; streamline enrollment and admissions processes; and turn to subscriptions that are scalable and provide options, says Edudemic.
4. Digital textbooks.
Planning for digital textbooks means not only boosting mobile device capabilities on campus, but helping faculty learn to implement digital resources into their course.
5. 21st Century PD for faculty and admin.
From offering a MOOC on classroom management online solutions, to hosting a PD session on Twitter, campus admin should offer multiple options for PD delivery, just like how faculty should offer students multiple options for learning–there’s no better way to teach something than to model it first!
6. MOOCs.
[Read: “3 pros and 3 cons of MOOCs.”]
7. Online course management system.
From sending in-class emails to checking grades, course management systems, like Blackboard, offer faculty and students a fairly intuitive way to manage courses more efficiently.
8. Big Data…
Future-proofing universities are beginning to deploy storage solutions to help manage the unstructured data in physical, virtual and cloud environments. More modern storage solutions are also open source for a high learning curve but low cost.
9…security.
precautions can range from scanning existing databases on the university’s servers to determine where personal information is located and then, depending on the database, destroy the personal information or add more digital security; as well as put cybersecurity systems through a series of penetration tests to highlight security shortcomings.
[Read: “University data breach prompts ‘top-to-bottom’ IT review.”]
10. Social media done well.
of the major ways campuses use social media well is by serving up both “cake” and “broccoli,” or balancing the content that is important and good for the school (broccoli) and the content that is fun and delicious (cake). “If you share enough cake, your audience will consume the occasional broccoli,” she advises.
Big Data and Privacy
April 17, 2014
Big data has been generating big hype for a while. In January, the White House jumped into the fray, launching a big data and privacy review. CDT participated in all three public workshops convened in connection with the review and submitted written comments.
CDT’s Big Data and Privacy Comments
In our comments, we focused on three main areas: applying the Fair Information Practice Principles (FIPPs) to both private sector and government big data programs; exploring technical measures such as de-identification to safeguard privacy; and reforming existing privacy laws, most notably the Electronic Communications Privacy Act, to account for rapid changes in the ways that digital data is collected, stored, and used.
CDT stressed that, as entities collect more data to offer innovative products and more efficient services, they must still be guided by purpose specification, consent, security, and the other elements of the FIPPs framework.
Government and Big Data
| “Strong consensus is forming that the bulk collection of phone records should end.”
-Harley Geiger
|
The Administration says that it will end its bulk collection of telephony metadata, although the details of what will replace it remain unsettled. Meanwhile, CDT is pointing out that the laws the government has used to justify bulk collection are not limited just to phone records. Instead, they could be used to justify collection of location data, Internet browsing history, financial records, and more. CDT has been vocal in advocating the end of all forms of bulk collection, and we endorse the USA FREEDOM Act as the best legislation to do just that.
A report from the White House review is due before the end of April, but it is expected to present more questions than answers. In this complex and unsettled space, CDT will continue to work with companies and other stakeholders to develop workable approaches that will protect privacy while pursuing the benefits promised by advanced data analytics. |
Check Out CDT’s New Website
CDT has launched a totally revamped website: http://www.cdt.org. It has a fresh new look and tools that should make our content more easily accessible. Thanks to our partners at iStrategy Labs for their creative and technical efforts on the new site.
