{"id":191,"date":"2025-03-21T13:39:49","date_gmt":"2025-03-21T13:39:49","guid":{"rendered":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/chapter\/assessment-reinventing-recommendations\/"},"modified":"2025-07-30T18:07:28","modified_gmt":"2025-07-30T18:07:28","slug":"assessment-reinventing-recommendations","status":"publish","type":"chapter","link":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/chapter\/assessment-reinventing-recommendations\/","title":{"raw":"Assessment: Reinventing Recommendations","rendered":"Assessment: Reinventing Recommendations"},"content":{"raw":"Tell students that now that they know how to train the algorithms that their apps already use, it's time to think about how those algorithms <strong>should <\/strong>work.\r\n\r\nGo through the instructions in the <a href=\"https:\/\/textbook.mediasmarts.ca\/navigatingstudent\/chapter\/reinventing-recommendations\/\">Reinventing Recommendation<\/a> student chapter.\r\n\r\nHave students use the interactive tool to choose either a type of app (for example, a video app, a social network, or a search engine) or an app that already exists (YouTube, Instagram, Google, etc.) and design how they think its algorithm should work.\r\n\r\nTheir assignment should include:\r\n\r\nAt least <strong>three <\/strong>[pb_glossary id=\"281\"]optimization[\/pb_glossary] goals they think the algorithm should have. Make sure students understand that they are not limited to the optimization goals discussed in class, and remind them of some of the alternate optimization goals they brainstormed. They should rank these optimization goals by <strong>weight <\/strong>(how important they are to the algorithm's ranking) and explain why they chose each one and why they gave it that rank.\r\n\r\nAt least <strong>three <\/strong>inputs they think the algorithm should pay attention to. These also are not limited to the ones discussed in class; students can use any way that users could send information to platforms. For each one, they should identify whether it is an <strong>explicit <\/strong>or an <strong>implicit <\/strong>input and explain <strong>why they think the algorithm should pay attention to it<\/strong>. <strong>To define the optim<\/strong><strong>ization goals <\/strong>and <strong>three<\/strong> <strong>inputs<\/strong>, go to the \"Done\" page and click or tap \"Create document.\"\r\n\r\nWhen they have finished, they can click or tap Select to copy it and paste it into an email or a Google Doc, or click or tap Export to make a Word document that they can download.\r\n\r\nUse the<a href=\"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/chapter\/assessment-rubric-for-redesigning-recommendation-assignment\/\"> Assessment Rubric for Redesigning Recommendations Assignment<\/a> to assess their work.","rendered":"<p>Tell students that now that they know how to train the algorithms that their apps already use, it&#8217;s time to think about how those algorithms <strong>should <\/strong>work.<\/p>\n<p>Go through the instructions in the <a href=\"https:\/\/textbook.mediasmarts.ca\/navigatingstudent\/chapter\/reinventing-recommendations\/\">Reinventing Recommendation<\/a> student chapter.<\/p>\n<p>Have students use the interactive tool to choose either a type of app (for example, a video app, a social network, or a search engine) or an app that already exists (YouTube, Instagram, Google, etc.) and design how they think its algorithm should work.<\/p>\n<p>Their assignment should include:<\/p>\n<p>At least <strong>three <\/strong><a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_191_281\">optimization<\/a> goals they think the algorithm should have. Make sure students understand that they are not limited to the optimization goals discussed in class, and remind them of some of the alternate optimization goals they brainstormed. They should rank these optimization goals by <strong>weight <\/strong>(how important they are to the algorithm&#8217;s ranking) and explain why they chose each one and why they gave it that rank.<\/p>\n<p>At least <strong>three <\/strong>inputs they think the algorithm should pay attention to. These also are not limited to the ones discussed in class; students can use any way that users could send information to platforms. For each one, they should identify whether it is an <strong>explicit <\/strong>or an <strong>implicit <\/strong>input and explain <strong>why they think the algorithm should pay attention to it<\/strong>. <strong>To define the optim<\/strong><strong>ization goals <\/strong>and <strong>three<\/strong> <strong>inputs<\/strong>, go to the &#8220;Done&#8221; page and click or tap &#8220;Create document.&#8221;<\/p>\n<p>When they have finished, they can click or tap Select to copy it and paste it into an email or a Google Doc, or click or tap Export to make a Word document that they can download.<\/p>\n<p>Use the<a href=\"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/chapter\/assessment-rubric-for-redesigning-recommendation-assignment\/\"> Assessment Rubric for Redesigning Recommendations Assignment<\/a> to assess their work.<\/p>\n<div class=\"glossary\"><span class=\"screen-reader-text\" id=\"definition\">definition<\/span><template id=\"term_191_281\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_191_281\"><div tabindex=\"-1\"><p>Training an algorithm to achieve a particular goal.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><\/div>","protected":false},"author":2,"menu_order":9,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-191","chapter","type-chapter","status-publish","hentry"],"part":181,"_links":{"self":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/chapters\/191","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":3,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/chapters\/191\/revisions"}],"predecessor-version":[{"id":934,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/chapters\/191\/revisions\/934"}],"part":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/parts\/181"}],"metadata":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/chapters\/191\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/media?parent=191"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/chapter-type?post=191"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/contributor?post=191"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/license?post=191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}