Thank you for joining in, Adam. I think I'll leave outputting mathematics for now. Perhaps you could start a new topic on that later? I'd also like to think about outputting functions from our anonymous wiki (aka "wikilambda"), which I'll come onto here.
I definitely agree about reading-comprehension qustions. For now, I encourage everyone who is not already familiar with it to check out https://www.deepl.com/translator. It does work on a tablet, but I found it a bit fiddly to interact with. What it allows you to do is play with its translation, choosing alternative words etc, and it reworks the rest of the translation as you go along.
When it comes to Q&A mode, that brings us back to Charles's difficult problem of re-use. (This seems to be missing here, but it's in https://lists.wikimedia.org/pipermail/abstract-wikipedia/ 2020-July/000233.html.) It also brings us back to "Reasoning over ontologies" (https://lists.wikimedia.org/pipermail/abstract-wikipedia/20 20-July/000206.html). Reuse is never easy, and "all the facts in all the languages at all levels" is rather a broad scope... So I certainly accept the wisdom of Charles's suggestion of a pilot project. I started with a single quiz question: "What is the atomic number of oxygen?". For many Wikipedias, if not most, the article on oxygen gives you the answer in the first sentence or two.
But we don't just want the answer, we want a quiz! Equally, maybe we don't just want the question and the answer, we want some wrong answers and some tips. We begin with a multiple choice question, as above. "What is the atomic number of oxygen? Is it (a) "Z"; (b) "O"; (c) 16; (d) 6; (e) 8; (f) ....
The first thing to notice is that the wrong answers are not fictitious; they are values you will find in Wikidata Item Q629 (well, "Z" is nearby, in the label of the atomic number property, but no more clues!) and we can explore this further by choosing a wrong answer and provoking a response
(a) "No, "Z" is the symbol for "atomic number", not the value for oxygen. (b) That's not oxygen's atomic number, that's its symbol. (c) Oxygen is in group 16 on the periodic table. See if you can find it there. (d) Well, oxygen is the sixth element in period 2... (e) That's right! Try choosing a wrong answer, just for fun...
So we have a small number of somewhat connected facts to explore. Any of them can be turned into a question, which can pull in facts connected to that, like other elements in group 16 or period 2. This is enabled by the "quiZiverse" function that can turn a Wikidata Statement into a related set of statements, for any one of which a new related set can be produced. In an interactive context, choosing the option displays the text and could call the function again with the chosen statement in place of the original. Or the function is embedded in a link, so that, for example, clicking "group 16" calls the function withQ104567 as well as Q629, extending the quiz. If used to set a quiz, the teacher can suppress some answers and add alternatives, tailoring the quiZiverse to the students' level and the material to cover. It is here that we need to see how to capture the teacher's thinking, the rationale for changing the "focused ontology". Was it too advanced or too simple? Difficult to understand? Irrelevant? More interesting connection to something else... and so on. That sort of metadata can then be used to guide future quiZiverse instantiations, with target values for a range of dimensions, such as "reading comprehension". Best regards, Al. On Sunday, 2 August 2020, abstract-wikipedia-request@lists.wikimedia.org wrote:
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Today's Topics:
- Re: Comprehension questions (Adam Sobieski)
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Educational technology is also interesting here.
Generating reading comprehension questions while generating natural language articles is an interesting topic. I think that the matter would be one of refining the set of possible questions and selecting the best questions for a particular reader in a particular context. One might also find interesting the topics of intelligent tutoring systems [1] and automatic item generation [2].
We can view the automatic generation of encyclopedia articles in response to search engine queries as a type of Q&A system. Articles and their related content hyperlinks sections could be generated in search result contexts, contexts which include the question(s) that users asked a search engine to find the content. Articles, when produced with this search engine referrer information, could, in addition to highlighting relevant content, recommend follow-up questions for readers to select in a related content section, each follow-up question a hyperlink to another article (resembling a hypertext-based dialogue system). Hopefully, these related content hyperlink sections (perhaps resembling a recommender system) would entice readers to further self-directed learning.
I would like to also indicate that we should explore outputting mathematics when automatically generating encyclopedia articles. For wikitext, this could involve outputting LaTeX for MathJax to process.
Best regards, Adam
[1] https://en.wikipedia.org/wiki/Intelligent_tutoring_system [2] https://en.wikipedia.org/wiki/Automatic_Item_Generation
From: Grounder UKmailto:grounderuk@gmail.com Sent: Friday, July 31, 2020 12:32 PM To: abstract-wikipedia@lists.wikimedia.orgmailto:abstract-wikip edia@lists.wikimedia.org Subject: Re: [Abstract-wikipedia] Comprehension questions
Thanks, Charles.
I can certainly see the possibility of many interesting use cases there. True or false questions would be an interesting game for our natural-language renderers to play, for example. Given an inferred statement supposed to be true, negate it. Test-setters might be expected to correct errors of fact or expression, but that's up to them. It would be interesting to monitor which statements they preferred to choose as True and which as False, in any event.
Questions of the form: "choose the best answer from the following" could also be a win-win if our renderers face difficulties selecting or expressing some combination of facts.
Then there is the grading of information. Questions chosen for more basic tests might be supposed to be more generally relevant than those chosen for more advanced tests, which might feed back into the emphasis in the general Wikipedia article (now complete with a slider bar for the reader's current and/or target level of understanding, as well as competence in the language).
And finally, renderer, given the pedagogue's valuable input into what is an appropriate statement of fact here, please turn it into questions in many languages!
Loving it...
Thank you again, Charles
Best regards, Al.
Today's Topics:
- Re: How to store wikitext along the structured content? (Grounder UK)
- Re: Comprehension questions (Charles Matthews)
On 02 August 2020 at 16:16 Grounder UK grounderuk@gmail.com wrote:
But we don't just want the answer, we want a quiz! Equally, maybe we don't just want the question and the answer, we want some wrong answers and some tips.
It goes back to 2016, just to generate questions from Wikidata:
https://pub.tik.ee.ethz.ch/students/2016-FS/BA-2016-03.pdf
Technically the incorrect answers in multiple choice are called "distractors". Clearly this is a rather simple data structure to handle. Hints assume quite a bit more.
At the beginning of 2017, I decided to take seriously the suggestion (from Magnus Manske) that questions should be treated as structured data. I even suggested Wikidata should have a namespace for them (this didn't go down well). A road not taken then, and just as the Comprende! tool was finished I got diverted into a Wikimedian in Residence position. So much for that.
Anyone, one take on this is that AW output might be some kind of structured data, rather than the sectioned prose (+media files and tables and templated data) familiar from Wikipedia.
By the way, mathematics in wikitext has traditionally been a threefold mix of approaches (HTML, png, LaTex): not an elegant solution.
Charles
Charles,
Regarding questions as structured data, you might find interesting the following publication:
De Meester, Ben, Hajar Ghaem Sigarchian, Tom De Nies, Ruben Verborgh, Frank Salliau, Erik Mannens, and Rik Van de Walle. "SERIF: A Semantic ExeRcise Interchange Format." In LINKed (workshop)@ ISWC2015, pp. 1-12. 2015. (PDFhttps://biblio.ugent.be/publication/7241020/file/7241033)
Best regards, Adam
From: Charles Matthews via Abstract-Wikipediamailto:abstract-wikipedia@lists.wikimedia.org Sent: Sunday, August 2, 2020 12:22 PM To: General public mailing list for the discussion of Abstract Wikipedia (aka Wikilambda)mailto:abstract-wikipedia@lists.wikimedia.org Subject: Re: [Abstract-wikipedia] Comprehension questions
On 02 August 2020 at 16:16 Grounder UK grounderuk@gmail.com wrote: But we don't just want the answer, we want a quiz! Equally, maybe we don't just want the question and the answer, we want some wrong answers and some tips.
It goes back to 2016, just to generate questions from Wikidata:
https://pub.tik.ee.ethz.ch/students/2016-FS/BA-2016-03.pdf
Technically the incorrect answers in multiple choice are called "distractors". Clearly this is a rather simple data structure to handle. Hints assume quite a bit more.
At the beginning of 2017, I decided to take seriously the suggestion (from Magnus Manske) that questions should be treated as structured data. I even suggested Wikidata should have a namespace for them (this didn't go down well). A road not taken then, and just as the Comprende! tool was finished I got diverted into a Wikimedian in Residence position. So much for that.
Anyone, one take on this is that AW output might be some kind of structured data, rather than the sectioned prose (+media files and tables and templated data) familiar from Wikipedia.
By the way, mathematics in wikitext has traditionally been a threefold mix of approaches (HTML, png, LaTex): not an elegant solution.
Charles
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