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      <description>lolly project uses check weights for analysis of workplace data </description>
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      <pubDate>2020-07-08 23:37:59 UTC</pubDate>
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         <description><![CDATA[<div>Create interest and stimulate curiosity. Set learning within a meaningful context. Raise questions for inquiry. Reveal students’ ideas and beliefs, compare students’ ideas</div>]]></description>
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         <description><![CDATA[<div>Discover core concepts</div>]]></description>
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         <title>EXPLAIN</title>
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         <description><![CDATA[<div>Teacher led. Helping learners to integrate the new knowledge. Clarify. Introduce new technical info. Ask students to share what the know</div>]]></description>
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         <title>ELABORATE</title>
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         <description><![CDATA[<div>Learners apply what they've learnt in a new context. They integrate their knowledge to develop new, deeper understandings<br><br></div>]]></description>
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         <description><![CDATA[<div>Formal and informal assessment - both formative and summative. Self and peer assessment</div>]]></description>
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         <description><![CDATA[<div>Lesson provides stats background, Chris Paulson speaks statistics<br><br></div>]]></description>
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         <title>Quiz</title>
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         <title>watch video</title>
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         <title>Orange lolly data</title>
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         <title>Green lolly data</title>
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         <title>Blue lolly data</title>
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         <title>Yellow lolly data</title>
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         <title>Sorting the packet</title>
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         <title>What can be done with this data?</title>
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         <title>Assessment task #7</title>
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         <title>Data weights</title>
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         <description><![CDATA[<div>Excel spreadsheet ready for generating graphs and analysis of workplace data</div>]]></description>
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         <title>SPC Statistical Process Control</title>
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         <description><![CDATA[<div>Construct SPC charts to measure attributes and variables</div>]]></description>
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