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Getting the most out of Wikibase4Lib

Getting the most out of Wikibase4Lib


Jim Hahn, Timothy Ryan Mendenhall, Esther Jackson

Monday May 23, 2022 | 9am-12pm EDT | Hayes Hall, University at Buffalo | Conference Website


Workshop Summary

This three hour session will provide an introduction to getting Wikibase, the software that powers Wikidata, configured on your local machine by way of Docker Desktop. The session includes an accessible and newbie friendly introduction to using Docker on your laptop, followed by a necessary (though not overly technical) delineation of the unique technology stack that makes up the Wikibase linked data system.

Formative Assessment

7 Smart, Fast Ways to Do Formative Assessment

Within these methods you’ll find close to 40 tools and tricks for finding out what your students know while they’re still learning.

edutopia.org/article/7-smart-fast-ways-do-formative-assessment

Entry and exit slips

Exit slips can take lots of forms beyond the old-school pencil and scrap paper. Whether you’re assessing at the bottom of Bloom’s taxonomy or the top, you can use tools like Padlet or Poll Everywhere, or measure progress toward attainment or retention of essential content or standards with tools like Google Classroom’s Question toolGoogle Forms with Flubaroo, and Edulastic,

Low-stakes quizzes and polls: If you want to find out whether your students really know as much as you think they know, polls and quizzes created with Socrative or Quizlet or in-class games and tools like QuizalizeKahoot, FlipQuiz, GimkitPlickers, and Flippity

Dipsticks: So-called alternative formative assessments are meant to be as easy and quick as checking the oil in your car, so they’re sometimes referred to as dipsticks. These can be things like asking students to:

  • write a letter explaining a key idea to a friend,
  • draw a sketch to visually represent new knowledge, or
  • do a think, pair, share exercise with a partner.

Interview assessments: If you want to dig a little deeper into students’ understanding of content, try discussion-based assessment methods. Casual chats with students in the classroom can help them feel at ease even as you get a sense of what they know, and you may find that five-minute interview assessments

TAG feedback 

FlipgridExplain Everything, or Seesaw

Methods that incorporate art: Consider using visual art or photography or videography as an assessment tool. Whether students draw, create a collage, or sculpt, you may find that the assessment helps them synthesize their learning.

Misconceptions and errors: Sometimes it’s helpful to see if students understand why something is incorrect or why a concept is hard. Ask students to explain the “muddiest point” in the lesson—the place where things got confusing or particularly difficult or where they still lack clarity. Or do a misconception check:

Self-assessment: Don’t forget to consult the experts—the kids. Often you can give your rubric to your student

Framework for machine-learning model

Framework to describe individual machine-learning model decisions

https://techxplore.com/news/2022-05-framework-individual-machine-learning-decisions.html

Researchers create framework to describe individual machine-learning model decisions

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more on machine learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=machine+learning

the Platform Transparency and Accountability Act

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.

Ancient Greek pedagogues


Artwork for GMoL S2E12 Greeks with Donald Clark
GREAT MINDS ON LEARNINGGMoL S2E12 Greeks with Donald Clark
30
00:01:13 / 01:14:51
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https://greatmindsonlearning.libsyn.com/

At the very origin of our ideas of about learning, as well so much else that defines our culture, lies the extraordinary flowering of thought and discovery centred on Athens from the fifth to the second century BC. This episode takes us back to the very earliest group of thinkers this series will cover, the ancient Greeks.
  • 1:02 – Introducing the Greeks
  • 11:36 – Socrates  (c. 470–399 BC)
  • 23:34 -Plato (428/427 or 424/423 – 348/347 BC)
  • 34:06 – Aristotle (384–322 BC)
  • 47:25 – Pythagoras (c. 570 – c. 495 BC)
  • 53:57 – Euclid (c. 325 – c. 270 BC)
  • 57:46 – Archimedes (c. 287 – c. 212 BC)
  • 1:05:41 – Summing Up
  • Socrates bit.ly/2FQz0hH
  • Plato bit.ly/386Cd96
  • Aristotle bit.ly/2tdGUzi
  • Pythagoras, Euclid, Archimedes bit.ly/38hEL46

personalized learning and achievement gap

https://www.edsurge.com/news/2022-03-28-can-personalized-learning-be-scaled-to-ease-teacher-burdens-and-close-achievement-gaps

McGraw Hill Plus, a new tool, Focusing first on math and then expanding to ELA and science, its objective is to make personalized learning scalable.

Smith: The modern classroom sits at the intersection of blended learning, competency-based learning and personalized learning.

reimagine instructional time and use technology to scale personalized learning.

First, pulling data into one place is the key fundamental driver that will change the teacher workflow. Second, we need to manipulate that data into some advanced data visualization tools, so it’s easy for teachers to understand and use. Third, we need to be able to visualize student performance and take action on it.
Using these data analytics, we can drive personalized learning based on student performance. And the last thing is the automation of teacher workflow.

eachers get data visualization from different sources, such as an adaptive software solution like our ALEKS program, our Redbird Mathematics, or our recently acquired Achieve3000 Literacy.

owning in Metaverse

Can you truly own anything in the metaverse? A law professor explains how blockchains and NFTs don’t protect virtual property

https://theconversation.com/amp/can-you-truly-own-anything-in-the-metaverse-a-law-professor-explains-how-blockchains-and-nfts-dont-protect-virtual-property-179067

claim that tokens provide indisputable proof of ownership, which can be used across various metaverse apps, environments and games. Because of this decentralization, some also claim that buying and selling virtual items can be done on the blockchain itself for whatever price you want, without any person or any company’s permission.

Despite these claims, the legal status of virtual “owners” is significantly more complicated.

It is in these lengthy and sometimes incomprehensible documents where metaverse platforms spell out the legal nuances of virtual ownership. Unlike the blockchain itself, the terms of service for each metaverse platform are centralized and are under the complete control of a single company. This is extremely problematic for legal ownership.

For example, on one day you might own a $200,000 digital painting for your apartment in the metaverse, and the next day you may find yourself banned from the metaverse platform, and your painting, which was originally stored in its proprietary databases, deleted. Strictly speaking, you would still own the NFT on the blockchain with its original identification code, but it is now functionally useless and financially worthless.

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