Former German Foreign Minister Sigmar Gabriel‘The World Is Changing Dramatically’
Former German Foreign Minister Sigmar Gabriel speaks to DER SPIEGEL about his call for the country to take on a new global role and why Germans are underestimating the dangers posed by the current geopolitical situation.
Interview Conducted by Mathieu von Rohr and Britta Sandberg September 24, 2018 04:32 PM
Now Trump is criticizing us for not spending enough money on our military. Part of the truth, however, is that the U.S. wanted exactly that for a very long time. They were worried that too much military power in Germany could provoke the next world war. I once told Tillerson, I don’t know what you are complaining about, you raised us for 70 years to be peaceniks. Now that’s what we are and you’re surprised. He laughed.
Some people want Germany to be something like a large Switzerland, but we are simply too big. We can’t just stand on the sidelines. Because of the Assad regime’s bombs, almost a million refugees were standing in front of our door. It’s not just about military operations, but about crisis prevention, diplomacy, economic development. Germany shouldn’t transform from a geopolitical abstainer to an influential geo-strategist. I wish that we would return to once again having strategic debates — no matter the result. It is important to prepare the public for the fact that the world has changed.
The U.S. Department of Education has increasingly encouraged and funded states to collect and analyze information about students: grades, state test scores, attendance, behavior, lateness, graduation rates and school climate measures like surveys of student engagement.
The argument in favor of all this is that the more we know about how students are doing, the better we can target instruction and other interventions. And sharing that information with parents and the community at large is crucial. It can motivate big changes.
what might be lost when schools focus too much on data. Here are five arguments against the excesses of data-driven instruction.
The National Education Policy Center releases annual reports on commercialization and marketing in public schools. In its most recent report in May, researchers there raised concerns about targeted marketing to students using computers for schoolwork and homework. Companies like Google pledge not to track the content of schoolwork for the purposes of advertising. But in reality these boundaries can be a lot more porous. For example, a high school student profiled in the NEPC report often consulted commercial programs like dictionary.com and Sparknotes: “Once when she had been looking at shoes, she mentioned, an ad for shoes appeared in the middle of a Sparknotes chapter summary.”
4) Missing What Data Can’t Capture
Computer systems are most comfortable recording and analyzing quantifiable, structured data. The number of absences in a semester, say; or a three-digit score on a multiple-choice test that can be graded by machine, where every question has just one right answer.
5) Exposing Students’ “Permanent Records”
In the past few years several states have passed laws banning employers from looking at the credit reports of job applicants. Employers want people who are reliable and responsible. But privacy advocates argue that a past medical issue or even a bankruptcy shouldn’t unfairly dun a person who needs a fresh start.
This session will present results from an evaluation of the integration of RealizeIT adaptive learning technology into three fully online courses: General Psychology, Pathophysiology for Nursing Practice, and College Algebra. Presenters will discuss the impact on students, faculty, and the university.
Adaptive learning systems provide each student with a personalized learning experience, adapting the presentation of the content, and possibly the assessment to the individual ability of the student
Co-developed by Learning Technologies and the Faculty Colloquium on Excellence in Teaching and Learning at Indiana University, a digital badge pilot (badges.iu.edu) was launched to support faculty professional development and growth. This session will cover the competency levels, topics of study, and the badging platform to document levels of achievement. Outcomes: Understand the basics of a three-tiered framework for digital badges * Review the online badging platform * Explore topics for faculty development
Mozilla Open Badges 101: Digging into Badges (a webinar)
personalized learning or competency-based does not resolve it. GPA does not respond to employers search
regimenting credentials. digital representation of of skill or achievement. represent achievements on the web. social status (foursquare). granular, evidence-based and transferable. badge ecosystem (across multiple areas), this is why open badges; open system. Open Badge Standard: issuer information; earner information; criteria URL; evidence URL; Standards Alignment; Taxonomy Tags
Data Visualization: The What, the Who, and the How
Data visualization tools are becoming much stronger and are now targeted at a much wider audience. This panel will explore what we should be trying to do with data visualization, who will be doing it, and how we might support and steer it. OUTCOMES: Identify multiple opportunities for use of data visualization * Learn about multiple user communities, including those not centrally managed * Explore ways to support users and steer them toward good practiceshttp://www.educause.edu/sites/default/files/library/presentations/E15/SESS029/Data%2BViz%2BEducause%2B151028%2BFINAL1.pptxslides 7: What works well for technically savvy developers may not work for faculty or staff without those same credentials.
Oracle suite of OBIEE (Oracle Business Intelligence Enterprise Edition) has been very successful for CSU
Cognos (IBM) is another tool that is very popular for developers and has been used by USG central office
D3 (For Data Driven Documents)
slide 11: Two primary design goals supported through Data Visualization:
Discovery and Exploration
–What story is the data telling you
–Identify patterns and exceptions
–Compare, contrast, choose
–Explain, make a point, decide
qPresent more clearly or more forcefully than would be accomplished with text or tables
qReports, dashboards, infographics, etc.
qAllow us to see what would be difficult or impossible to see if not presented in a useful visualization
qRealm of research but moving into the mainstream
qCan same visualization serve both purposes?
iPad, You Pad, We All Pad: Transforming Teaching and Learning
California State University Northridge, Lynn University, and Jackson State University have all deployed one-to-one iPad tablet initiatives, with the objectives to increase student engagement and learning, improve the quality of teaching materials, and decrease student costs. This session will discuss the transformational educational opportunities afforded by the iPad and highlight technology and pedagogical lessons learned. Outcomes: Learn about the transformational impact of one-to-one iPad initiatives in the classroom * Understand the need for extensive faculty development and faculty adoption strategies * Appreciate deployment and support challenges====================
The Avalon Video and Audio Repository for Libraries and Beyond
The Avalon Media System provides an open-source streaming media solution, based on Hydra/Fedora repository technologies, focused on delivery of library media collections, but it is finding other uses, including support for publication, teaching and learning content, and digital scholarship. As a result, new features enhance support for additional research and instructional use cases. Outcomes: Understand the problems Avalon solves * Understand the extended use cases addressed with Avalon, both present and intended future * Learn how best to engage with the Avalon project.========================
The Karuta Open Source Portfolio, currently under incubation by the Apereo Foundation, offers dramatic flexibility for designing portfolio workflows with rubrics to assess learning outcomes. Karuta is LTI enabled for integration with the LMS for easy access and transfer of evidence of learning. Subsequent releases will add functionality for showcasing as well as reporting. Outcome: Learn how Karuta can flexibly support your programs and institution through leveraging its functionality
Supporting the Discovery and Adoption of Open E-Textbooks
The California Open Education Resources Council comprises faculty from the three CA higher education systems working together to identify open textbooks for high impact courses. The selected open textbooks are in the process of being peer reviewed and curated in the CA Open Online Library. Outcomes: Identify quality open textbooks for general education, high-impact courses * Learn how to interpret textbook peer reviews with a faculty-created rubric * Understand how to reference these resources for the discovery of quality no- or low-cost materialshttp://www.educause.edu/sites/default/files/library/presentations/E15/PS58/COOL%2BEducause%2BPoster%2B2015.pdf
Seminar 12P – Six Secrets for Evaluating Online Teaching (separate registration is required)
What makes online teaching different from face-to-face teaching? How can we tell when it’s done well? Faculty members, administrators, and IT leaders will learn six evaluation “secrets” from the authors of the new book Evaluating Online Teaching. You will leave this seminar with use-them-now strategies, tools, and templates to take back to your campus. OUTCOMES: Distinguish online content and practices that “count” as teaching behaviors * Design self-, peer-, and administrative-evaluation analytic tools * Develop a 6-stage, campus-wide program for evaluating online teachinghttp://www.educause.edu/annual-conference/2015/seminar-12p-six-secrets-evaluating-online-teaching-separate-registration-required
Learn how the University of Pittsburgh is creating a scalable classroom model for active learning on a traditional campus. Administrators, faculty, and instructional technologists and designers recently collaborated to reimagine legacy large-enrollment lecture halls. The focus of this session is on the learning space design process across the disciplines. Outcomes: Identify and apply the principles of active learning associated with learning space deign * Understand the design process * Assemble an effective learning space design teamhttp://www.educause.edu/annual-conference/2015/reimagining-learning-space-design-across-disciplines
Thinking Digitally: Advancing Digital Literacy with Personalized Learning Tools
The session will outline a scalable framework for integrating digital literacy in higher education curriculum, supported by tools that allow for active and personalized learning. Research and examples from Georgia State University’s experience implementing a pilot program will be used as a catalyst for interactive discussion and idea generation. Outcomes: Understand the value of incorporating digital literacy into curriculum * Select from emerging personalized learning technologies to support digital literacy across diverse academic scenarios * Adapt a methodology for developing partnerships to advance digital literacy across the organizationhttp://www.educause.edu/annual-conference/2015/thinking-digitally-advancing-digital-literacy-personalized-learning-tools===============
A discussion of unmanned aerial vehicles (drones) and drone activities that either take place on campus or impact a campus from the outside. The state of federal aviation regulations and guidelines for drones will be covered. Attendees can share their experiences with official and rogue drone activities at their institutions. Outcomes: Learn about the drone devices in use, from miniature to massive * Understand the impact of drones on academic institutions, for better or worse * Learn what drone activities are legally allowable, banned, or discouragedhttp://www.educause.edu/annual-conference/2015/whats-droning-overhead
Join this lively discussion and discovery of innovative and functional uses and support for mobile computing. We will explore creative ideas for projects using mobile devices in teaching, learning, and administration. Topics may include hardware, applications, tools, special uses, wireless and mobile connectivity, web services, support issues, and security.
Ed-tech historian and critic Audrey Watters, for example, said plagiarism-detection software in general frames all writers as potential cheaters, undermining the trust that is essential to strong student-teacher relationships. She said the companies making the software tend to accept as given that most writing assignments are so cookie-cutter that students can reasonably consider copying someone else’s work a viable strategy.
My note: the paragraph above reflects my deep personal belief and most of the information and notes in this blog regarding the “automation” of plagiarism detection
the type of data: wikipedia. the dangers of learning from wikipedia. how individuals can organize mitigate some of these dangers. wikidata, algorithms.
IBM Watson is using wikipedia by algorythms making sense, AI system
youtube videos debunked of conspiracy theories by using wikipedia.
semantic relatedness, Word2Vec
how does algorithms work: large body of unstructured text. picks specific words
lots of AI learns about the world from wikipedia. the neutral point of view policy. WIkipedia asks editors present as proportionally as possible. Wikipedia biases: 1. gender bias (only 20-30 % are women).
conceptnet. debias along different demographic dimensions.
citations analysis gives also an idea about biases. localness of sources cited in spatial articles. structural biases.
geolocation on Twitter by County. predicting the people living in urban areas. FB wants to push more local news.
danger (biases) #3. wikipedia search results vs wkipedia knowledge panel.
collective action against tech: Reddit, boycott for FB and Instagram.
data labor: what the primary resources this companies have. posts, images, reviews etc.
boycott, data strike (data not being available for algorithms in the future). GDPR in EU – all historical data is like the CA Consumer Privacy Act. One can do data strike without data boycott. general vs homogeneous (group with shared identity) boycott.
the wikipedia SPAM policy is obstructing new editors and that hit communities such as women.
how to access at different levels. methods and methodological concerns. ethical concerns, legal concerns,
tweetdeck for advanced Twitter searches. quoting, likes is relevant, but not enough, sometimes screenshot
social listening platforms: crimson hexagon, parsely, sysomos – not yet academic platforms, tools to setup queries and visualization, but difficult to algorythm, the data samples etc. open sources tools (Urbana, Social Media microscope: SMILE (social media intelligence and learning environment) to collect data from twitter, reddit and within the platform they can query Twitter. create trend analysis, sentiment analysis, Voxgov (subscription service: analyzing political social media)
graduate level and faculty research: accessing SM large scale data web scraping & APIs Twitter APIs. Jason script, Python etc. Gnip Firehose API ($) ; Web SCraper Chrome plugin (easy tool, Pyhon and R created); Twint (Twitter scraper)
Facepager (open source) if not Python or R coder. structure and download the data sets.
TAGS archiving google sheets, uses twitter API. anything older 7 days not avaialble, so harvest every week.
social feed manager (GWUniversity) – Justin Litman with Stanford. Install on server but allows much more.
legal concerns: copyright (public info, but not beyond copyrighted). fair use argument is strong, but cannot publish the data. can analyize under fair use. contracts supercede copyright (terms of service/use) licensed data through library.
methods: sampling concerns tufekci, 2014 questions for sm. SM data is a good set for SM, but other fields? not according to her. hashtag studies: self selection bias. twitter as a model organism: over-represnted data in academic studies.
methodological concerns: scope of access – lack of historical data. mechanics of platform and contenxt: retweets are not necessarily endorsements.
ethical concerns. public info – IRB no informed consent. the right to be forgotten. anonymized data is often still traceable.
table discussion: digital humanities, journalism interested, but too narrow. tools are still difficult to find an operate. context of the visuals. how to spread around variety of majors and classes. controversial events more likely to be deleted.
takedowns, lies and corrosion: what is a librarian to do: trolls, takedown,
development kit circulation. familiarity with the Oculus Rift resulted in lesser reservation. Downturn also.
An experience station. clean up free apps.
question: spherical video, video 360.
safety issues: policies? instructional perspective: curating,WI people: user testing. touch controllers more intuitive then xbox controller. Retail Oculus Rift
app Scatchfab. 3modelviewer. obj or sdl file. Medium, Tiltbrush.
College of Liberal Arts at the U has their VR, 3D print set up.
Penn State (Paul, librarian, kiniseology, anatomy programs), Information Science and Technology. immersive experiences lab for video 360.
CALIPHA part of it is xrlibraries. libraries equal education. content provider LifeLiqe STEM library of AR and VR objects. https://www.lifeliqe.com/