Hi Kerry,

Thanks for the feedback! I'll reply to a couple of your points below:

One observation I would make is that like many education experiments,  it
> does not control for (what I call) the "highly motivated researcher
> effect". What I've learned from a lifetime of "new ways to teach" is that
> the standard experiment is to parachute in a highly motivated researcher
> into the classroom to introduce the new method, collect data showing
> improved learning, and then advocate for the new method to be rolled out
> more widely. However, rolling out more widely involves taking regular
> teachers (good, bad, and in-between) to learn and apply a new approach, and
> techniques often fail in the face of teacher lack of enthusiasm to learn
> anything new, complaints it makes more demands on teachers to use the new
> method, etc.


This study was a survey of everyone who would participate across 270
courses and 6700 students. We had 90 different instructors that took the
survey as well, many of them were returning instructors (there is data on
that in the instructor survey), but across the 270 courses there was a good
mix (Wiki Ed has data on that, and I could find that if you're really
interested, but our statistical analysis showed that there was no variation
between new and returning instructors for student responses for the
instructors polled - although a different design or question set with that
in mind could produce different results).

I like that suggestion and, in (hopefully) future iterations, we can spend
more thought on that particular piece when designing surveys (like
specifically tracking how many semesters the instructors have been active
with Wiki Ed).


> In this report it says " the program staff provide Wikipedia training and
> expertise so the faculty do not need to have any experience editing" which
> is a big red flag to me. It would be interesting to see the results in an
> experiment where you first train the faculty and then the faculty carry out
> the engagement with students. And then see the results in 3 years time when
> it's a case of "business as usual" rather than "the new thing".
>

New and returning instructors are encouraged to take (and re-take) a pretty
substantial training program (training module completion is listed in the
data set for both instructors and students). Faculty are "trained" but
there is a limit to the hands-on training that one can offer, of course.


> As a general comment, students like the variety of someone new in their
> classroom. Students do tend to learn more from "real world" assignments
> than "lab" assignments because the real world is more complex. However,
> staff and students are often reluctant to have real world assignments
> significantly influence end-of-term marks/grades because of the
> uncontrollable variables in the real world assignment that makes  it
> difficult to assess the relative achievement of the students.


Absolutely - Joe Reagle and I just did a presentation for New Media
Consortium that recommended that you never grade students on "what remains
on Wikipedia" - Wiki Ed has some good suggestions for grading too.


> I would expect editing Wikipedia articles to suffer from this problem as
> each student will be working on different article(s) of different starting
> size and quality and with different levels of involvement and monitoring by
> other Wikipedians. It was not clear to me from the report if students were
> being assessed on this Wikipedia assignment and how important it was to
> their overall mark/grade.


This was something that across 270 different classes we could not control.
Additionally, it was part of the IRB approval that nothing in the study can
affect the grade of the student directly (eg: instructors can't give extra
credit for taking the survey, they couldn't require students to be present
during the focus groups, no grades were reported). This would have been a
violation of FERPA in the US, as well as many rules in Canada. So in the
end, there was no "assessment" - although each student's work can be traced
back to their course and folks can do their own marking and analysis
(whether through computational means or otherwise) and compare it to
overall data if they like.

In the end, I hope you can make use of the data - as I mentioned above and
a few times throughout the report and elsewhere, this research was meant to
intersect with a variety of research questions, and I've done my best to
open up the data so that folks can investigate their own questions (like
looking at quality of work or addressing content gaps) alongside some of
the student data.

best,

Zach

--------------------
Zachary J. McDowell, PhD
www.zachmcdowell.com

On Tue, Jun 20, 2017 at 8:00 AM, <
wiki-research-l-requ...@lists.wikimedia.org> wrote:

> Send Wiki-research-l mailing list submissions to
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> Today's Topics:
>
>    1. Student Learning Outcomes using Wikipedia-based   assignments
>       (Zach McDowell)
>    2. Re: Student Learning Outcomes using       Wikipedia-based
>       assignments (Kerry Raymond)
>    3. Research about WikiProject Recommendation (Bowen Yu)
>    4. Re: Research about WikiProject Recommendation (Kerry Raymond)
>    5. Re: Research about WikiProject Recommendation (Jonathan Cardy)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 19 Jun 2017 18:30:06 -0400
> From: Zach McDowell <zmcdow...@gmail.com>
> To: wiki-research-l@lists.wikimedia.org
> Subject: [Wiki-research-l] Student Learning Outcomes using
>         Wikipedia-based assignments
> Message-ID:
>         <CAMGxLgspVCfbiKfGu=rXXxj6ihTWsaJ=TTDkSJrbkWpr1e+
> f...@mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Hi Everyone,
>
> For the last year I've been working on a fairly large (social science)
> research project studying student learning outcomes using Wikipedia based
> assignments with the Wiki Education Foundation. This was a mixed-methods
> study designed to address a variety of research questions and provide open
> data for researchers to dig through, analyze, and utilize in whatever way
> they deem fit.
>
> Today I am happy to announce that the research report, the data, the
> codebooks, and many other supporting documents have been released under an
> open license.
>
> The research report mostly summarizes the preliminary analysis (there were
> a LOT of questions) of some of the qualitative and quantitative data, but
> it is also meant to help understand the larger scope of the research
> project as well. Although this is just a preliminary report, I am working
> on a few journal publications with this data, so this should lead to more
> than the report (on my end at least).
>
> If you are interested in student learning, new users, information literacy,
> or skills transfer, I hope this report and data set finds you well.
>
> Blog post by LiAnna Davis on WMF Blog:
> https://blog.wikimedia.org/2017/06/19/wikipedia-
> information-literacy-study/
>
> Full data set (zip file):
> https://github.com/WikiEducationFoundation/research
>
> Research report (commons):
> https://commons.wikimedia.org/wiki/File:Student_Learning_
> Outcomes_using_Wikipedia-based_Assignments_Fall_2016_Research_Report.pdf
>
>
> best,
>
> Zach
>
> --------------------
> Zachary J. McDowell, PhD
> www.zachmcdowell.com
>
>
> ------------------------------
>
> Message: 2
> Date: Tue, 20 Jun 2017 16:20:44 +1000
> From: "Kerry Raymond" <kerry.raym...@gmail.com>
> To: "'Research into Wikimedia content and communities'"
>         <wiki-research-l@lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] Student Learning Outcomes using
>         Wikipedia-based assignments
> Message-ID: <00e501d2e98d$5b13cad0$113b6070$@gmail.com>
> Content-Type: text/plain;       charset="utf-8"
>
> This is very interesting data.
>
> One observation I would make is that like many education experiments,  it
> does not control for (what I call) the "highly motivated researcher
> effect". What I've learned from a lifetime of "new ways to teach" is that
> the standard experiment is to parachute in a highly motivated researcher
> into the classroom to introduce the new method, collect data showing
> improved learning, and then advocate for the new method to be rolled out
> more widely. However, rolling out more widely involves taking regular
> teachers (good, bad, and in-between) to learn and apply a new approach, and
> techniques often fail in the face of teacher lack of enthusiasm to learn
> anything new, complaints it makes more demands on teachers to use the new
> method, etc. In this report it says " the program staff provide Wikipedia
> training and expertise so the faculty do not need to have any experience
> editing" which is a big red flag to me. It would be interesting to see the
> results in an experiment where you first train the faculty and then the
> faculty carry out the engagement with students. And then see the results in
> 3 years time when it's a case of "business as usual" rather than "the new
> thing".
>
> As a general comment, students like the variety of someone new in their
> classroom. Students do tend to learn more from "real world" assignments
> than "lab" assignments because the real world is more complex. However,
> staff and students are often reluctant to have real world assignments
> significantly influence end-of-term marks/grades because of the
> uncontrollable variables in the real world assignment that makes  it
> difficult to assess the relative achievement of the students. I would
> expect editing Wikipedia articles to suffer from this problem as each
> student will be working on different article(s) of different starting size
> and quality and with different levels of involvement and monitoring by
> other Wikipedians. It was not clear to me from the report if students were
> being assessed on this Wikipedia assignment and how important it was to
> their overall mark/grade.
>
> -----Original Message-----
> From: Wiki-research-l [mailto:wiki-research-l-boun...@lists.wikimedia.org]
> On Behalf Of Zach McDowell
> Sent: Tuesday, 20 June 2017 8:30 AM
> To: wiki-research-l@lists.wikimedia.org
> Subject: [Wiki-research-l] Student Learning Outcomes using Wikipedia-based
> assignments
>
> Hi Everyone,
>
> For the last year I've been working on a fairly large (social science)
> research project studying student learning outcomes using Wikipedia based
> assignments with the Wiki Education Foundation. This was a mixed-methods
> study designed to address a variety of research questions and provide open
> data for researchers to dig through, analyze, and utilize in whatever way
> they deem fit.
>
> Today I am happy to announce that the research report, the data, the
> codebooks, and many other supporting documents have been released under an
> open license.
>
> The research report mostly summarizes the preliminary analysis (there were
> a LOT of questions) of some of the qualitative and quantitative data, but
> it is also meant to help understand the larger scope of the research
> project as well. Although this is just a preliminary report, I am working
> on a few journal publications with this data, so this should lead to more
> than the report (on my end at least).
>
> If you are interested in student learning, new users, information
> literacy, or skills transfer, I hope this report and data set finds you
> well.
>
> Blog post by LiAnna Davis on WMF Blog:
> https://blog.wikimedia.org/2017/06/19/wikipedia-
> information-literacy-study/
>
> Full data set (zip file):
> https://github.com/WikiEducationFoundation/research
>
> Research report (commons):
> https://commons.wikimedia.org/wiki/File:Student_Learning_
> Outcomes_using_Wikipedia-based_Assignments_Fall_2016_Research_Report.pdf
>
>
> best,
>
> Zach
>
> --------------------
> Zachary J. McDowell, PhD
> www.zachmcdowell.com
> _______________________________________________
> Wiki-research-l mailing list
> Wiki-research-l@lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
>
>
>
> ------------------------------
>
> Message: 3
> Date: Mon, 19 Jun 2017 23:35:22 -0700
> From: Bowen Yu <yuxxx...@umn.edu>
> To: Research into Wikimedia content and communities
>         <wiki-research-l@lists.wikimedia.org>
> Subject: [Wiki-research-l] Research about WikiProject Recommendation
> Message-ID:
>         <CAGFZukk-dV+6g4Nphh7AbSCB-smP6Wx=z6kwtvAZL61+J0muwg@
> mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Hi all,
>
> We are preparing to conduct a study about WikiProject recommendations. The
> goals of our study are (1) to understand the effectiveness of different
> recommendation algorithms on recruiting new members to WikiProjects, and
> (2) to evaluate the effectiveness of this intervention on engaging and
> retaining Wikipedia newcomers.
>
> In this study, we will recommend related editors to the organizers of
> WikiProjects, and request them to approach and recruit the editors. We will
> measure the actions and reactions of the organizers and editors for
> evaluation. More details about our study can be found here on this
> meta-page
> <https://meta.wikimedia.org/wiki/Research:WikiProject_Recommendation>.
>
> While planning the experimental design, we thought to gather more thoughts
> and suggestions from the community since this study would involve the
> efforts of some Wikipedians, so we wanted to open it up. Also, if you know
> of existing work or study in this area, please let us know. Thanks!
>
> Sincerely,
> Bowen
>
>
> ------------------------------
>
> Message: 4
> Date: Tue, 20 Jun 2017 17:25:51 +1000
> From: "Kerry Raymond" <kerry.raym...@gmail.com>
> To: "'Research into Wikimedia content and communities'"
>         <wiki-research-l@lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] Research about WikiProject
>         Recommendation
> Message-ID: <010e01d2e996$73d6d130$5b847390$@gmail.com>
> Content-Type: text/plain;       charset="utf-8"
>
> Looking at the list of WikiProjects you pointed at, they seem to be a
> mixture of what I would call "process" projects (e.g. Articles for
> Creation, Deletion Sorting) vs "content" projects (e.g. Military History,
> Television) vs a third group like "Women in Red" (which is part process,
> part content).
>
> Generally the "content" projects will tag Talk pages with their
> WikiProject Banner. But "process" projects don't seem to always do this.
> For example, I don't think Women in Red has a project banner generally,
> although I think they do tag articles that arise from specific
> Edit-a-thons. Some of the process projects seem to use hidden categories
> for their work.
>
> I would suggest only working with content projects initially. Content
> projects are more similar to one another in how they operate compared to
> process projects, and I think it is easier to judge if a user is showing an
> interest in a content project than in the process project because of
> standard use of content project banners on articles. So I think you can
> probably get a better understanding if the referral mechanism is working or
> not with content projects, whereas I think process projects have a lot of
> variability in them that may make it difficult to work out if you are
> seeing success or not.
>
> And at the end of the day, as an encyclopedia, we live or die on our
> content. Processes are (or at least should be) supportive of good content
> development but are a second-order effect.
>
> I can certainly see some issues arising from pointing newcomers at process
> projects as they are unlikely to be aware of the processes at that stage.
> And indeed some process project do not accept new editors (think of
> Articles for Creation and new page patrolling). I'd see this as a second
> project if the content project referral mechanism seems to be working.
>
> Anyhow, that my 10cc!
>
> Kerry
>
> ----Original Message-----
> From: Wiki-research-l [mailto:wiki-research-l-boun...@lists.wikimedia.org]
> On Behalf Of Bowen Yu
> Sent: Tuesday, 20 June 2017 4:35 PM
> To: Research into Wikimedia content and communities <
> wiki-research-l@lists.wikimedia.org>
> Subject: [Wiki-research-l] Research about WikiProject Recommendation
>
> Hi all,
>
> We are preparing to conduct a study about WikiProject recommendations. The
> goals of our study are (1) to understand the effectiveness of different
> recommendation algorithms on recruiting new members to WikiProjects, and
> (2) to evaluate the effectiveness of this intervention on engaging and
> retaining Wikipedia newcomers.
>
> In this study, we will recommend related editors to the organizers of
> WikiProjects, and request them to approach and recruit the editors. We will
> measure the actions and reactions of the organizers and editors for
> evaluation. More details about our study can be found here on this
> meta-page <https://meta.wikimedia.org/wiki/Research:WikiProject_
> Recommendation>.
>
> While planning the experimental design, we thought to gather more thoughts
> and suggestions from the community since this study would involve the
> efforts of some Wikipedians, so we wanted to open it up. Also, if you know
> of existing work or study in this area, please let us know. Thanks!
>
> Sincerely,
> Bowen
> _______________________________________________
> Wiki-research-l mailing list
> Wiki-research-l@lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
>
>
>
> ------------------------------
>
> Message: 5
> Date: Tue, 20 Jun 2017 11:02:21 +0100
> From: Jonathan Cardy <werespielchequ...@gmail.com>
> To: Research into Wikimedia content and communities
>         <wiki-research-l@lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] Research about WikiProject
>         Recommendation
> Message-ID: <33c5d254-b697-4f62-af74-3948a7575...@gmail.com>
> Content-Type: text/plain;       charset=us-ascii
>
> Hi Bowen,
>
> If you are going to promote wikiprojects by recommendation then you need
> to test different styles of recommendation. Taking what may still be the
> two biggest wikiprojects, MILHIST and professional wrestling, what worked
> as an invitation for either might be quite different than what would work
> for Opera or chemistry. Tone of voice is important when you are seeking to
> entice volunteers.
>
> You also need to allow for the effect of different existing recruitment
> programs. These tend to be subtle, but they will vary, and that variation
> could mask your project. The most obvious recruitment is via wikiproject
> tagging of articles, and that isn't necessarily done by people who are
> active in the project concerned.
>
> Regards
>
> Jonathan
>
>
> > On 20 Jun 2017, at 07:35, Bowen Yu <yuxxx...@umn.edu> wrote:
> >
> > Hi all,
> >
> > We are preparing to conduct a study about WikiProject recommendations.
> The
> > goals of our study are (1) to understand the effectiveness of different
> > recommendation algorithms on recruiting new members to WikiProjects, and
> > (2) to evaluate the effectiveness of this intervention on engaging and
> > retaining Wikipedia newcomers.
> >
> > In this study, we will recommend related editors to the organizers of
> > WikiProjects, and request them to approach and recruit the editors. We
> will
> > measure the actions and reactions of the organizers and editors for
> > evaluation. More details about our study can be found here on this
> meta-page
> > <https://meta.wikimedia.org/wiki/Research:WikiProject_Recommendation>.
> >
> > While planning the experimental design, we thought to gather more
> thoughts
> > and suggestions from the community since this study would involve the
> > efforts of some Wikipedians, so we wanted to open it up. Also, if you
> know
> > of existing work or study in this area, please let us know. Thanks!
> >
> > Sincerely,
> > Bowen
> > _______________________________________________
> > Wiki-research-l mailing list
> > Wiki-research-l@lists.wikimedia.org
> > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
>
>
> ------------------------------
>
> Subject: Digest Footer
>
> _______________________________________________
> Wiki-research-l mailing list
> Wiki-research-l@lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
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>
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