<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Leopold, Claudia</dc:creator>
  <dc:creator>Leutner, Detlev</dc:creator>
  <dc:date>2015</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">In three experiments, students were trained to use strategies for learning from  scientific texts: text highlighting (Experiment 1), knowledge mapping (Experiment 2),  and visualizing (Experiment 3). Each experiment compared a control condition,  cognitive strategy training, and a combined cognitive strategy plus metacognitive  selfregulation training with a specific focus on the quality of cognitive strategy  application. After the training, students applied the learning strategies as they studied  scientific texts. Across experiments, the results indicated that the self-regulation  component of the training helped the students to overcome the lack of efficacy of the  cognitive strategy only training when it was not effective by itself: The highlightingonly  group was outperformed by the control group (d = −1.25), but the combined  highlighting-plus-self-regulation training reduced this negative effect (d = −0.21). The  mapping-only group performed as well as the control group (d = −0.12), but the  combined mapping-plus-self-regulation group outperformed the control group (d =   0.76). The visualizing-only group outperformed the control group (d = 0.72) as did the  combined visualizing-plus-self-regulation group (d = 0.78). Results suggest that  cognitive learning strategies differ in their potential to induce deep versus surface  processing of text contents. In addition, the metacognitive self-regulation component  of the training enhanced students’ performance when the cognitive strategy training  was not effective by itself.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/308443</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/308443/files/Leopold_2015_Improving.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s11409-014-9130-2</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Metacognition and Learning. - 2015, vol. 10, no. 3, p. 313-346</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Self-regulated learning</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Learning strategy</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Quality</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Strategy training</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Metacognition</dc:subject>
  <dc:subject xmlns:ns6="xml" ns6:lang="en">Text comprehension </dc:subject>
  <dc:subject>info:eu-repo/classification/udc/37</dc:subject>
  <dc:title xmlns:ns7="xml" ns7:lang="en">Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
