A few years ago, Justin Millar, Shawn Taylor, and Ben Toh ran a 7-week
version of the data carpentry workshop here at UF, and blogged about it:
https://datacarpentry.org/blog/2018/04/dc-seven-weeks

Best,
--
Hao Ye
(he/him/his)
[email protected]


On Sat, Feb 13, 2021 at 9:57 AM Sue McClatchy <[email protected]> wrote:

> Hi Lauren,
>
> Thanks for bringing up an important concern regarding attrition in longer
> courses that grant neither academic credit, a grade, nor a certificate or
> degree. Unfortunately I don't have data, but I can provide anecdotal
> evidence from my experiences running training. I have found that after the
> 4th session there's no point in continuing a course because attrition is so
> high afterwards that few are left in attendance. Consequently all of our
> courses are chunked up into 12-hour instructional blocks of 3 hours each.
> Motivation is the reason - people are more motivated by the need to get
> back to their work because they aren't receiving credit toward a
> certificate or degree. They're only willing to sacrifice a limited amount
> of time for training. Our training is free, so nobody feels that they are
> losing out on an investment of money either.
>
> Yours,
>
> Sue McClatchy
>
> On Fri, Feb 12, 2021 at 4:58 PM Lauren Michael via discuss <
> [email protected]> wrote:
>
>> Hi all,
>>
>> I feel like there are probably data somewhere, but I'm looking for
>> information about the rate of drop-off at Carpentry-style workshops (and/or
>> those of similar durations) when taught on consecutive days, versus when
>> they are spread out over several weeks (e.g. one half-day session per
>> week).
>>
>> Note that information about free workshops would be most helpful,
>> knowing that charging a fee improves attendance, but I'll take what I can
>> get. I *am* hoping for data outside of (although in comparison with)
>> semester-long/for-credit courses over which the Carpentry materials are
>> taught, for which I know attendance is improved for obvious reasons.
>>
>> Thank you, in advance, for any pointers!
>>
>> Cheers,
>> Lauren
>>
>> Lauren Michael - Research Computing Facilitator, Center for High
>> Throughput Computing <http://chtc.cs.wisc.edu/>, University of Wisconsin
>> - Madison
>> Research Facilitation Lead, Open Science Grid
>> <https://opensciencegrid.org/>; co-PI, PATh <https://path-cc.io/>; co-PI,
>> People Network co-Coordinator, CaRCC <https://carcc.org/>
>> [email protected], tinyurl.com/LMichaelCalendar, Discovery 2262,
>> (608)316-4430
>>
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