237:. It does not appear that any of their courses so far have been registered on Knowledge; sadly they have no on-wiki homepage allowing identification of all edited articles or participating students; it is also unclear if the instructors themselves have a Knowledge account. This suggests a failing both on the part of the researchers (they spent years reading about, researching and engaging with the teaching with Knowledge approach without realizing there is a major support infrastructure in place to assist them), as well as on the part of the Knowledge community and the Education Program itself, which is clearly still not being visible enough, nor active enough to identify and reach out to such educators who have been engaged in several years of ongoing teaching on Knowledge. Hopefully in the future we can integrate those and other educators into our framework better.
321:
century, i.e. a "learning" overview task): The table of contents was the most frequent entry point (36%) followed by the lead section (31%) and the text body itself. The author observes further that "the article heading and images serve less often as entry point. The text heading and image captions very rarely occurs as points of first contact". Another publication by the same author focused on "users' interaction with pictorial and textual contents ... of information within the articles and the relation between text and images are analyzed. ... By now 30 articles have been analyzed according to this scheme. are 639 contact points leading to images. Results show that 39% of all contact points lead from image to image, in mutual directions (previous or next). All text contact points sum up to a total of 37%. In 5% of all cases, an introduction triggers a
200:
1184:"Werden bei Look up eher Tabellen und grafische Darstellungen genutzt, konzentriert sich der Nutzer bei Learn-Aufgaben mehr auf Einleitung und Listen. ... Bei den Aufgabentypen Learn und Casual-Leisure werden Bilder sehr viel hĂ€ufiger verwendet. Hier geht es um die Aneignung von Wissen, nicht aber um das Nachschlagen ganz konkreter InformationsstĂŒcke (siehe Look up). Bilder stellen dabei eine zusĂ€tzliche Informationsquelle oder eine Visualisierung des Textes dar (Bsp. Spielfeld des Spiels Lacrosse). Beim TaskTyp Look up werden Bilder fast nie betrachtet."
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233:, however: while it describes a useful set of educational activities, and rather well at that, these are not groundbreakingâpractically all activities discussed in this paper have been discussed in peer reviewed literature by others. Unfortunately, the authors fail to cite many of related works (I count only about five citations to the other peer-reviewed works from the much larger field of teaching with Knowledge). Furthermore, the authors seem unaware of the
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need to find out whether a web page could be interesting to them, but are seeking a certain pieces of information. Interestingly with pictures it is the other way round. We assume that users need textual information in order to understand what the web page is about. In learn tasks however, they prefer to get information from any (type of) content element available."
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it was essential for us to show the ways our practices hinge on the theories of scholars renown in the field of higher education assessment pedagogy. We were also limited by a word count that included the bibliography and therefore could not afford to expand our literature review to cover scholarship in the broader field that sits outside our area of focus.
229:. They describe in relative detail a number of assignments and assessment criteria, and discuss benefits that their Knowledge assignments have for the community (improving valuable and underrepresented content) and for the students themselves (improving their writing, research and collaborative skills). The paper could benefit from a more comprehensive
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Our results supported the role of total contribution, and clarification of contribution in RFA success while the impacts of social contribution was partially supported and the role of content contribution was not supported. Also, both control variables (tenure and number of attempts) showed significant relationships with RFA success."
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Perhaps not groundbreaking, it was nonetheless a breakthrough to have such a high-ranking journal in the field accept our article for publication, particularly as we were advocating something that is not appealing to many conservative academics. In order to be accepted by such a high ranking journal,
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Thank you for your constructive feedback on our article, âEmploying
Knowledge for good not evil: innovative approaches to collaborative writing assessment.â We do appreciate you commenting on the article but some of your comments, though understandable, do not take into account the audience that this
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From the abstract: "... we examine the impact of different forms of contribution made by adminship candidates on the community's overall decision as to whether to promote the candidate to administrator. To do so, we collected data on 754 RFA cases and used logistic regression to test four hypotheses.
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From the abstract: "Upon training our model with the
Wiktionaryâan extensive, online, collaborative, and open-source dictionary that contains over 100,000 phrasal-definitionsâwe develop highly effective filters for the identification of meaningful, missing phrase-entries. With our predictions we then
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A second PhD thesis, covered in a brief paper last year, examined for example which elements readers look at first within an article (from an experiment involving 163 German
Knowledge articles and 90 participants who were asked to prepare themselves for an course on the history of Bavaria in the 20th
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During lookup tasks, tables and graphical representations were preferred (but illustrative/decorative images were almost never looked at. As the authors point out, their test question, about the number of passengers on the
Titanic, focused on textual information). On the other hand, "in 'learn' tasks
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actions, presumably as headlines are better for detecting the topic of the focussed section of the page than text passages. Furthermore, in casual-leisure tasks introductions are much more important than in learn tasks â from that observation we conclude again that in learn tasks users do not feel a
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Overall, search strategies did not differ a lot between the "learning" and casual reading ("non-work-based") tasks. But there were statistically significant differences to the information seeking behavior in fact lookup tasks. The largest differences concerned the consumption of text, images and TOC
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From the abstract: "The influence of a guitarist was estimated by the number of guitarists citing him/her as an influence and the influence of the latter. The results are most interesting and provide a quantitative foundation to the idea that most of the contemporary rock guitarists are influenced
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From the abstract: "Knowledgeâs popularity and reputation give politicians incentives to use it for enhancing their online appearance effectively and tailored towards their constituency. we assemble data covering editing activity for articles on all 1,100 members of the German parliament (MPs) for
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and have worked on initiatives with
Wikimedia AU, and received support from Knowledge volunteers and Wikipedians at my institution. My coauthor, Rebecca Johinke, developed an interest in teaching with Knowledge in 2013 and has used it in teaching since 2014. To be fair to the Wikimedia Foundation,
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I read with interest: "During lookup tasks, tables and graphical representations were preferred (but illustrative/decorative images were almost never looked at. As the authors point out, their test question, about the number of passengers on the
Titanic, focused on textual information)." How do I
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From the abstract: "Our group is populating
Wikidata with the seeds of a foundational semantic network linking genes, drugs and diseases. Using this content, we are enhancing Knowledge articles to both increase their quality and recruit human editors to expand and improve the underlying data. We
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I hope that the following responses address some of your concerns, which centre on the inclusion of only five works from the larger corpus of âteaching with
Knowledgeâ literature, the fact that the paper does not report on any âgroundbreakingâ activities, and that the authors donât seem to have
1214:"In lookup tasks, we observe that â contrary to both other task types â users prefer content elements that provide quick access to information. They focus on introductions, charts, tables, and lists more often than on text passages, which are just scanned briefly. The same observation holds for
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As our purpose was to promote the efficacy of using
Knowledge to assess studentsâ performance, we wrote our article for scholars interested in higher education assessment pedagogy and so our focus was quite narrow. The article passed peer review and was accepted by a respected higher education
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From the abstract: "We prove the effectiveness of our approach by classifying the medical articles of the
Knowledge Medicine Portal, which have been previously manually labeled by the Wiki Project team. The results of our experiments confirm that, by considering domain-oriented features, it is
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From the abstract: ".... an in-depth interview with Knowledge user Ram-Man, creator or the rambot, the first mass-editing bot. Topics discussed include the social and technical climate of early Knowledge, the creation of bot policies and bureaucracy, and the legacy of rambot and Ram-Manâs
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methods to find out which article elements readers focus on while searching for information on Knowledge, depending on the nature of the search task (factual information lookup, learning, or casual readingâa classification taken from a 2006 article about exploratory search in general).
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417:: From the abstract of a paper titled "Untangling Performance from Success": "We show that a predictive model, relying only on a tennis player's performance in tournaments, can accurately predict an athlete's popularity , both during a player's active years and after retirement."
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journal that has only every published one article on the use of Knowledge in Education: ours. A keyword search shows that of the 6 others, 3 mentioned Knowledge twice, 3 mentioned it 4 times and only one of those did not reinforce common negative perceptions about Knowledge.
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PS: I see you are interested in infobox usage as well. Their use was tracked in the experiment too, see the "IB" columns in table 1 in ref 4 (with the caveat that some of the other publication cited in the review may contain later results based on more data). Regards,
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engage the editorial community of the Wiktionary and propose short lists of potential missing entries for definition, developing a breakthrough, lexical extraction technique, and expanding our knowledge of the defined English lexicon of phrases."
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I am one of the alleged "infobox warriors" who try to make data more accessible, especially now that Persondata is deprecated, - thus making life on Knowledge hard for editors who like a plain picture as aesthetically more pleasing. See
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actions which are applied to charts and tables only â again elements facilitating quick access to small pieces of information. Finally, in contrast to both other task types, in lookup tasks we observed a very high proportion of
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In two 2012 articles the researchers summarized the methodology and results of one of their lab experiments with 28 participants, which besides eyetracking also incorporated data from survey questionnaires, browser logs and
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It is not stated explicitly in that passage that pictures are not looked at in lookup tasks. But can be inferred from Table 1 there (the content element "BI" for images is not present in the actions recorded for lookup
71:
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1300:), but for obvious COI reasons I am not reviewing them. If anyone enjoying this newsletter would, however, like to return the favor and review my works (feel free to be critical), I'd appreciate it :) --
770:
Williams, Jake Ryland; Clark, Eric M.; Bagrow, James P.; Danforth, Christopher M.; Dodds, Peter Sheridan (2015-03-06). "Identifying missing dictionary entries with frequency-conserving context models".
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This paper is a good example of how to write articles for the "teaching with Knowledge" field. The authors report their positive experiences with several under- and postgraduate classes at the
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by early blues guitarists. Although no direct comparison exist, the list was still validated against a number of other best-of lists available online and found to be mostly compatible."
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encourage the community to join us as we collaboratively create what can become the most used and most central semantic data resource for the life sciences and beyond."
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the three last legislatures. We find editing to be a persistent phenomenon that is practiced by a substantial amount of MPs and is growing throughout election years."
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This is a translation/summary/paraphrase from German, as noted elsewhere in the review. For reference, here is the corresponding text in the German original
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possible to obtain sensible improvements with respect to existing solutions, mainly for those articles that other approaches have less correctly classified."
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30:"Employing Knowledge for good not evil" in education; using eyetracking to find out how readers read articles: Current research about Wikimedia projects.
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Cozza, Vittoria; Petrocchi, Marinella; Spognardi, Angelo (2016-03-07). "A matter of words: NLP for quality evaluation of Knowledge medical articles".
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1194:;) - "During lookup tasks, tables and graphical representations were preferred (but illustrative/decorative images were almost never looked at. )."
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55:
44:
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297:). Among the results of this first study (see also a related paper in English with illustrations explaining the various article elements):
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Mitraka, Elvira; Waagmeester, Andra; Burgstaller-Muehlbacher, Sebastian; Schriml, Lynn M.; Su, Andrew I.; Good, Benjamin M. (2015-11-16).
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45% of their time on scanning the table of content and lists in the article, in "learn" tasks these only amount to <10% of the time.
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341:(For an overview over other new data sources shedding light on how readers navigate within articles, see also this reviewer's recent
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their support has been invaluable, as has the support of our local chapter, Wikimedia AU. Frances Di Lauro 08:54, 4 April 2016 (UTC)
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users concentrate more on the introduction and lists. In the 'casual leisure' area, many different content elements are used."
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According to a post-task survey, user satisfaction in both the lookup and learn tasks was independent of the number of images.
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What Readers Want to Experience: An Approach to Quantify Conversational Maxims with Preferences for Reading Behaviour
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1340:). I am listed as one of the University of Sydney Contacts on the Knowledge Education Programâs page for Australia
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A monthly overview of recent academic research about Knowledge and other Wikimedia projects, also published as the
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Lastly, I have been a Knowledge editor since 2012, and listed my courses on the Knowledge:Education noticeboard
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591:. 6th International Conference on Agents and Artificial Intelligence. Angers, Loire Valley, France. pp. 478â481.
72:"Employing Knowledge for good not evil" in education; using eyetracking to find out how readers read articles
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Back to your question: If you just want to the English text from the review, how about simply using an
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529:("Detecting context factors in Knowledge search tasks", in German with English and French abstracts)
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899:"Request for Adminship (RFA) within Knowledge: How Do User Contributions Instill Community Trust?"
457:"Employing Knowledge for good not evil: innovative approaches to collaborative writing assessment"
421:"Request for Adminship (RFA) within Knowledge: How Do User Contributions Instill Community Trust?"
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183:"Employing Knowledge for good not evil: innovative approaches to collaborative writing assessment"
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connections with major support structures, donât seem to have a Knowledge account, and so forth.
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336:(cf. above). Readers also spent a larger ratio of time navigating compared to analyzing content.
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Users tend to skim the article during lookup tasks, but read more text parts in the other tasks.
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541:"Assessing the Relationship Between Context, User Preferences, and Content in Search Behaviour"
918:"Wikidata: A platform for data integration and dissemination for the life sciences and beyond"
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428:"Wikidata: A platform for data integration and dissemination for the life sciences and beyond"
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Yucesoy, Burcu; BarabĂĄsi, Albert-LĂĄszlĂł (2015-12-02). "Untangling Performance from Success".
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A list of other recent publications that could not be covered in time for this issue â
316:) contains much more detail, e.g. reporting that in "lookup" tasks, readers spend : -->
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623:"Wie interagieren Nutzer mit Text- und Bildinformationen in einem Knowledge-Artikel?"
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correctly quote the first half, when the bracket is closed only after the second?
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394:"Identifying missing dictionary entries with frequency-conserving context models"
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435:"A matter of words: NLP for quality evaluation of Knowledge medical articles"
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I also had two of my own academic articles on Knowledge published in March (
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604:"SituationsabhÀngige Rezeption von Information bei Verwendung der Knowledge"
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Predicting tennis players' Knowledge popularity from tournament performance
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to an image. The remaining types of contact points occur rather rarely."
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1275:, 150 years yesterday. The topic is also up for arbcom clarification. --
794:"Population automation: An interview with Knowledge bot pioneer Ram-Man"
401:"Population automation: An interview with Knowledge bot pioneer Ram-Man"
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Alternatively, ref 4 contains some of the same observations in English
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on Meta about the question "Which parts of an article do readers read?)
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A later overview article summarizes other aspects in less detail, e.g:
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Screenshot of eyetracking software (not from the papers discussed here)
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502:"Einfluss von Kontextfaktoren auf das Suchverhalten in der Knowledge"
387:"Political Advertising on the Knowledge Market Place of Information"
360:
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Proceedings of the 5th Information Interaction in Context Symposium
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Using eyetracking to find out how Knowledge articles are being read
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Political Advertising on the Knowledge Market Place of Information
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Proceedings of the 5th Ph.D. Workshop on Information and Knowledge
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in May 2013, and in September and October 2013 (See for example
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More experienced readers used the table of contents less often.
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for two facial muscles that indicate emotional reactions (the
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International Journal of Intelligent Systems and Applications
661:"Investigation of Information Behavior in Knowledge Articles"
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704:"Information Behavior â Informationssuche in der Knowledge"
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for reviewing or summarizing newly published research.
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KnÀusl, Hanna; Rösch, Barbara; Schubart, Lea (2012).
897:
Kreider, Christopher; Kordzadeh, Nima (2015-01-01).
312:A subsequent German-language PhD thesis (see also
1142:If your comment has not appeared here, you can try
975:"Exploratory Search: From Finding to Understanding"
499:
752:. Rochester, NY: Social Science Research Network.
455:Lauro, Frances Di; Johinke, Rebecca (2016-02-15).
667:. IIiX '14. New York, NY, USA: ACM. pp. 351â353.
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547:. PIKM '12. New York, NY, USA: ACM. pp. 67â74.
461:Assessment & Evaluation in Higher Education
152:
1204:"In learn tasks, users prefer headlines for
1200:. Quoting alongside other interesting bits:
748:Göbel, Sascha; Munzert, Simon (2016-01-22).
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585:KnÀusl, Hanna; Ludwig, Bernd (2013-03-06).
840:"Mining Knowledge to Rank Rock Guitarists"
408:"Mining Knowledge to Rank Rock Guitarists"
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607:(Thesis of the University of Regensburg)
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708:Information - Wissenschaft & Praxis
627:Information - Wissenschaft & Praxis
506:Information - Wissenschaft & Praxis
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792:Livingstone, Randall M. (2016-01-09).
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371:as the most influential rock guitarist
1303:Piotr Konieczny aka Prokonsul Piotrus
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539:KnÀusl, Hanna; Ludwig, Bernd (2012).
54:
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1405:Knowledge Signpost archives 2016-04
838:Siddiqui, Muazzam A. (2015-11-08).
367:An analysis used Knowledge to rank
345:at the Wikimedia Foundation, and a
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738:(in German, with English abstract)
611:(in German, with English abstract)
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1127:These comments are automatically
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973:Marchionini, Gary (April 2006).
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379:contributions are always welcome
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1354:: doing it for free since 2005.
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1138:add the page to your watchlist
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473:10.1080/02602938.2015.1127322
175:Wikimedia Research Newsletter
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602:KnÀusl, Hanna (2014-12-18).
18:Knowledge:Knowledge Signpost
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235:Knowledge:Education Program
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1319:article seeks to address.
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1285:10:00, 2 April 2016 (UTC)
1258:08:53, 2 April 2016 (UTC)
1243:08:47, 2 April 2016 (UTC)
1169:07:10, 2 April 2016 (UTC)
961:Supplementary references:
354:Other recent publications
856:10.5815/ijisa.2015.12.05
274:University of Regensburg
991:10.1145/1121949.1121979
673:10.1145/2637002.2637062
659:Rösch, Barbara (2014).
621:Rösch, Barbara (2015).
553:10.1145/2389686.2389700
219:pregnancy vegetarianism
1135:. To follow comments,
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702:KnÀusl, Hanna (2015).
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347:research overview page
314:2012 conference poster
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518:10.1515/iwp-2012-0061
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272:Researchers from the
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227:Slave Labour (mural)
215:University of Sydney
207:University of Sydney
1033:"Recent research" â
1122:Discuss this story
1077:WikiProject report
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45:â Back to Contents
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1161:Gerda Arendt
1157:I tried here
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1072:In the media
1060:all comments
1054:1 April 2016
985:(4): 41â46.
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252:Tilman Bayer
250:Reviewed by
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189:Reviewed by
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159:Tilman Bayer
57:1 April 2016
1386:Suggestions
1129:transcluded
1010:Online copy
979:Commun. ACM
278:eyetracking
1308:reply here
950:1603.01987
924:: 031971.
883:1512.00894
824:2016-02-03
778:1503.02120
443:References
291:corrugator
83:Share this
78:Contribute
22:2016-04-01
1380:Subscribe
1233:Regards,
1223:actions "
1133:talk page
998:0001-0782
863:2074-904X
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480:0260-2938
343:tech talk
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115:Twitter
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135:Reddit
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878:arXiv
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816:ISSN
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724:ISSN
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157:and
145:Digg
987:doi
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