Searching for "research"
Doctoral Cohorts and Research using Social Media
Explore social media sites to find out what is the most pertinent “talk” in your scientific community. What are the latest trends and discussions, topics of research and interests. Most prominent social media sites, such as
LinkedIn, https://www.linkedin.com/
Twitter, https://twitter.com/
Facebook, https://www.facebook.com/
Pinterest https://www.pinterest.com/
Instagram, http://instagram.com/
use hashtags.
LinkedIn has “professional groups.”
Identify your hashtag strategy similarly to your keyword strategy when searching peer-reviewed articles
E.g., if your interest is #principalship, you can seek channels and conversations by using it as a hashtag
Search and subscribe to LinkedIn “Interests/Groups” and lurk or actively participate in the conversations.
Consider start and maintenance of your own blog with your daily reflections on your research progress
E.g., LinkedIn can be very much used as a blog, although you can subscribe for a free one such as Edublog
p. 141. Chapter 8 “Using Social Media in Research.”
Bell, J. (1999). Doing your research project: A guide for first-time researchers in education and social science (3rd ed.). Buckingham [England] ; Philadelphia: Open University Press. (Available on Google and at SCSU Library through ILL)
Crowdsourcing, social networking. Consider the following questions:
- What are your goals?
- Who do you want to reach?
- Why do you want to reach them?
- Which digital tool or platform will be most effective in enabling you to reach your goals?
- If you already spend time each day using social media for personal reasons, how much time are you able to set aside each day to use social media for research?
- at what time of day will you engage in social media? (time differences, if you are communicating globally)
the value of social media: Community, Content, Conversations.
Davis III, C.H.F., Deil-Amen, R., Rios-Aguilar, C., & González Canché, M.S. Social media and higher education: A literature review and research directions. Report printed by the University of Arizona and Claremont Graduate University. Accessed January 27, 2015 http://works.bepress.com/hfdavis/2/
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.”
What does Horizon 2020 mean for research libraries?
http://libereurope.eu/what-does-horizon-2020-mean-for-research-libraries/
In the 8 projects that LIBER was involved in under the previous funding programme, FP7, nearly 10% of LIBER’s members (around 35 libraries) were partners. They worked on diverse activities such as the digitization of cultural heritage, digital preservation, research data sharing, open access policies and the interoperability of research infrastructures. We’d like to see even more libraries participating under H2020.
The Soul of the Research University
http://chronicle.com/article/The-Soul-of-the-Research/146155/
they aren’t the same idea. Mass higher education, conceptually, is practical, low cost, skills oriented, and mainly concerned with teaching. It caught on because state legislatures and businesses saw it as a means of economic development and a supplier of personnel, and because families saw it as a way of ensuring a place in the middle class for their children. Research universities, on the other hand, grant extraordinary freedom and empowerment to a small, elaborately trained and selected group of people whose mission is to pursue knowledge and understanding without the constraints of immediate practical applicability under which most of the rest of the world has to operate. Some of their work is subsidized directly by the federal government and by private donors, but they also live under the economic protection that very large and successful institutions can provide to some of their component parts.
Tens of millions of Americans have a direct connection to higher education, and probably only a tiny minority of them are even familiar with the term “research university.” So universities themselves have contributed to the lack of public understanding of the centrality of research.
“You see then, here are two methods of Education; the end of the one is to be philosophical, of the other to be mechanical; the one rises toward general ideas, the other is exhausted upon what is particular and external,” he wrote. “Knowledge, in proportion as it tends to be more and more particular, ceases to be Knowledge.”
“The pursuit of science and scholarship belongs to the university. What else belongs? Assuredly neither secondary, technical, vocational, nor popular education. Of course, these are important; of course, society must create appropriate agencies to deal with them; but they must not be permitted to distract the university.”
https://www.facebook.com/NPR/posts/10152215227691756
Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative —
5 Ideas for Developing Real-World Thinking Skills
https://www.ascd.org/el/articles/5-ideas-for-developing-real-world-thinking-skills
IDEAS—Inquiry, Design, Evaluation, Argument, and Systems Analysis. Let’s unpack these processes:
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Inquiry is an investigative process that seeks out understandings and explanations—of observations, outcomes, concepts, and events. The process is driven by thoughtful questions that can be researched and explored in different ways—for example, by analyzing data or documents, generating models, or conducting experiments.
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Design is an iterative process that results in the development of a new product or process for addressing a need, solving a problem, or improving an existing product/process. It includes clarifying a problem or need, generating possible solutions, testing/evaluating solution options, and developing a plan for implementation.
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Evaluation involves selecting and applying appropriate criteria for assessing the quality, significance, or merit of something. Evaluation can be used to judge things like products (e.g., the strength of a bridge), outcomes (e.g., the accuracy of a stock market prediction), and processes (e.g., effectiveness of group work).
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Argumentation is a reasoning process for debating and supporting an idea or position. It involves making a claim and justifying it with reasons and evidence. It can also involve critiquing an argument by challenging its claim or the reasons or evidence given to support it.
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Systems Analysis is a process for understanding a system’s elements and how they interact. It includes analyzing the various elements in a system and predicting how changes to any part(s) of the system can have both short- and long-term consequences.
Framework to describe individual machine-learning model decisions
https://techxplore.com/news/2022-05-framework-individual-machine-learning-decisions.html
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more on machine learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=machine+learning
Meta, TikTok and YouTube may finally have to start sharing data with researchers
A Senate hearing this week and a new law in Europe show how “transparency” advocates are winning
the Platform Transparency and Accountability Act, was introduced in December by (an ever-so-slightly) bipartisan group of senators.
“YouTube, TikTok, Telegram, and Snapchat represent some of the largest and most influential platforms in the United States, and they provide almost no functional transparency into their systems. And as a result, they avoid nearly all of the scrutiny and criticism that comes with it.”
When we do hear about what happens inside a tech company, it’s often because a Frances Haugen-type employee decides to leak it.
Cruz expressed great confusion about why he got relatively few new Twitter followers in the days before Elon Musk said he was going to buy it, but then got many more after the acquisition was announced.
The actual explanation is that Musk has lots of conservative fans, they flocked back to the platform when they heard he was buying it, and from there Twitter’s recommendation algorithms kicked into gear.
As usual, though, Europe is much further ahead of us. The Digital Services Act, which regulators reached an agreement on in April, includes provisions that would require big platforms to share data with qualified researchers. The law is expected to go into effect by next year. And so even if Congress dithers after today, transparency is coming to platforms one way or another. Here’s hoping it can begin to answer some very important questions.