{"id":364,"date":"2019-06-24T16:00:24","date_gmt":"2019-06-24T15:00:24","guid":{"rendered":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/?p=364"},"modified":"2022-10-12T14:05:36","modified_gmt":"2022-10-12T13:05:36","slug":"workload-mapping-part-2-mapping-in-design","status":"publish","type":"post","link":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/?p=364","title":{"rendered":"Workload mapping part 2: mapping in learning design"},"content":{"rendered":"<p><span data-contrast=\"auto\">In this series of posts, we\u2019<\/span><span data-contrast=\"auto\">re<\/span><span data-contrast=\"auto\"> looking at student workload mapping. This second post\u00a0explains how we monitor workload during module design, and where we might make recommendations to authors.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Overall workload for a module is agreed right at the beginning of learning design, with set times to aim for based on the level of study, credits and duration of a module. In our <a href=\"https:\/\/www.open.ac.uk\/blogs\/learning-design\/?p=358&amp;preview=true\" >first post<\/a> in this series we looked at the case of Alex, and the <\/span><span data-contrast=\"auto\">3 week<\/span><span data-contrast=\"auto\"> workload lump. <\/span><span data-contrast=\"auto\">With that level 1, 60 credit <\/span><span data-contrast=\"auto\">30 week<\/span><span data-contrast=\"auto\"> module,<\/span><span data-contrast=\"auto\"> the weekly workload should have looked something like thi<\/span><span data-contrast=\"auto\">s:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p style=\"padding-left: 30px;\"><span data-contrast=\"auto\">Module directed workload: 13<\/span><span data-contrast=\"auto\">\u00a0hours<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p style=\"padding-left: 30px;\"><span data-contrast=\"auto\">Student directed workload: 7 hours<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p style=\"padding-left: 30px;\"><span data-contrast=\"auto\">Total workload: 20 hours<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This balance is taken in to consideration when planning the overall structure of a module, with authors dividing topics, units and blocks across the 30 weeks in as even a distribution as possible.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Slight v<\/span><span data-contrast=\"auto\">ariations in the workload <\/span><span data-contrast=\"auto\">are to be expected, and can <\/span><span data-contrast=\"auto\">creep <\/span><span data-contrast=\"auto\">in <\/span><span data-contrast=\"auto\">unknowingly during drafting, where authors start blocking out the details of teaching activities. Detailed workload mapping starts here, with an aim to informing tweaks for the next sets of drafts. If we take another look at Alex\u2019s module, the results might look something like this:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-413 size-full\" src=\"https:\/\/www.open.ac.uk\/blogs\/learning-design\/wp-content\/uploads\/2019\/06\/post2_re_edit.png\" alt=\"\" width=\"570\" height=\"340\" srcset=\"https:\/\/www.open.ac.uk\/blogs\/learning-design\/wp-content\/uploads\/2019\/06\/post2_re_edit.png 570w, https:\/\/www.open.ac.uk\/blogs\/learning-design\/wp-content\/uploads\/2019\/06\/post2_re_edit-300x179.png 300w\" sizes=\"auto, (max-width: 570px) 100vw, 570px\" \/><\/p>\n<p><span data-contrast=\"auto\">So, how do we go about <\/span><span data-contrast=\"auto\">it<\/span><span data-contrast=\"auto\">?<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The process changes slightly as a module fills out and nears presentation, but the core elements <\/span><span data-contrast=\"auto\">of mapping <\/span><span data-contrast=\"auto\">are:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"1\" data-listid=\"7\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Word counts<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"2\" data-listid=\"7\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Reading speeds<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"3\" data-listid=\"7\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Multimedia assets<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"3\" data-listid=\"7\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Directed activities<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Word counts<\/span><\/b><span data-contrast=\"auto\"> are a good early measure for study time, with text often representing a sizable chunk of teaching in distance education. This is based on estimated <\/span><b><span data-contrast=\"auto\">Reading speeds <\/span><\/b><span data-contrast=\"auto\">for different types of content. Introductory material might be read at \u2018normal\u2019 speed, while high cognitive load sections (dense definitions or models that might need slower or multiple readings) will need more time allocated per-word.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Multimedia assets <\/span><\/b><span data-contrast=\"auto\">including AV material are mapped based on their duration, multiplied by two, allowing for pausing and taking notes. Images receive a flat figure depending on their nature, with less time allocated for decorative or illustrative images than detailed infographics and diagrams.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Directed activities <\/span><\/b><span data-contrast=\"auto\">are written with an estimated time as part of best practice (E.g. Activity 1.1 &#8211; 40 minutes), which we then sense-check and use for mapping. While doing so, we also look at the different types of activities being used, categorising them as we go. We\u2019ll look at this more as part of the final post in the series.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">At the end, we are able to see not just the workload of a module, but also the top-level composition:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-406 size-full\" src=\"https:\/\/www.open.ac.uk\/blogs\/learning-design\/wp-content\/uploads\/2019\/06\/post2graph.png\" alt=\"\" width=\"580\" height=\"362\" srcset=\"https:\/\/www.open.ac.uk\/blogs\/learning-design\/wp-content\/uploads\/2019\/06\/post2graph.png 580w, https:\/\/www.open.ac.uk\/blogs\/learning-design\/wp-content\/uploads\/2019\/06\/post2graph-300x187.png 300w\" sizes=\"auto, (max-width: 580px) 100vw, 580px\" \/><\/p>\n<p><span data-contrast=\"auto\">As you can see, text\/reading content accounts for a large proportion of the workload in Alex\u2019s module. We can now see though that the crunch points in weeks 5 and 6 are largely due to higher proportions of directed activities and AV content. Our feedback for the next phase of drafting would be to:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"1\" data-listid=\"8\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Week 1 may benefit from slightly more study time to help quickly acclimatise level 1 students to the expected 7 hour mark (perhaps 1 more hour). Check that induction and studentship activities have been accounted for.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"2\" data-listid=\"8\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Look to r<\/span><span data-contrast=\"auto\">educe <\/span><span data-contrast=\"auto\">overall workload for weeks 5 and 6. Planned activities and AV currently account for a disproportionate amount.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;335559991&quot;:360}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-aria-level=\"1\" data-aria-posinset=\"3\" data-listid=\"8\" data-font=\"Symbol\" data-leveltext=\"\uf0b7\"><span data-contrast=\"auto\">Week 10 may be a little text heavy, which could affect engagement.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">How much we map is often down to the specific needs of the module. In some cases, the first 7 weeks will give enough of an idea to even out the workload as the rest of it develops.\u00a0 In other cases, the full module is mapped out to look for peaks and troughs.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Fortunately, i<\/span><span data-contrast=\"auto\">n the case of Alex&#8217;s module,\u00a0the crunch in week 5 is identified <\/span><span data-contrast=\"auto\">early, and<\/span><span data-contrast=\"auto\"> is smoothed out <\/span><span data-contrast=\"auto\">in subsequent drafts<\/span><span data-contrast=\"auto\"> before first presentation. Alex has a consistent experience, a better work\/life\/study balance, and<\/span><span data-contrast=\"auto\"> the quality of learning and teaching itself once again becomes the primary determinant of success.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In the final post in this series, we\u2019ll look at how we use mapping data to measure concurrency (multiple module study)\u00a0and activities \u2013 and the opportunities that opens up.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this series of posts, we\u2019re looking at student workload mapping. This second post\u00a0explains how we monitor workload during module design, and where we might make recommendations to authors.\u00a0\u00a0 Overall workload for a module is agreed right at the beginning of learning design, with set times to aim for based on the level of study, [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":561,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35],"tags":[],"class_list":["post-364","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ld-under-the-hood"],"_links":{"self":[{"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/posts\/364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=364"}],"version-history":[{"count":19,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/posts\/364\/revisions"}],"predecessor-version":[{"id":570,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/posts\/364\/revisions\/570"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=\/wp\/v2\/media\/561"}],"wp:attachment":[{"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=364"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=364"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.open.ac.uk\/blogs\/learning-design\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}