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What moderates the accuracy of ease of learning judgments?
When people begin to study new material, they may first judge how difficult it will be to learn. Surprisingly, these ease of learning (EOL) judgments have received little attention by metacognitive researchers so far. The aim of this study was to systematically investigate how well EOL judgments can...
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Published in: | Metacognition and learning 2017-12, Vol.12 (3), p.337-355 |
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creator | Jemstedt, Andreas Kubik, Veit Jönsson, Fredrik U. |
description | When people begin to study new material, they may first judge how difficult it will be to learn. Surprisingly, these
ease of learning
(EOL) judgments have received little attention by metacognitive researchers so far. The aim of this study was to systematically investigate how well EOL judgments can predict actual learning, and what factors may moderate their relative accuracy. In three experiments, undergraduate psychology students made EOL judgments on, then studied, and were tested on, lists of word-pairs (e.g., sun – warm). In Experiment 1, the Goodman-Kruskal gamma (
G
) correlations showed that EOL judgments were accurate (
G
= .74) when items varied enough in difficulty to allow for proper discrimination between them, but were less accurate (
G
= .21) when variation was smaller. Furthermore, in Experiment 1 and 3, we showed that the relative accuracy was reliably higher when the EOL judgments were correlated with a binary criterion (i.e., if an item was recalled or not on a test), compared with a trials-to-learn criterion (i.e., how many study and test trials were needed to recall an item). In addition, Experiments 2 and 3 indicate other factors to be non-influential for EOL accuracy, such as the task used to measure the EOL judgments, and whether items were judged sequentially (i.e., one item at a time in isolation from the other items) or simultaneously (i.e., each item was judged while having access to all other items). To conclude, EOL judgments can be highly accurate (
G
= .74) and may thus be of strategic importance for learning. Further avenues for research are discussed. |
doi_str_mv | 10.1007/s11409-017-9172-3 |
format | article |
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ease of learning
(EOL) judgments have received little attention by metacognitive researchers so far. The aim of this study was to systematically investigate how well EOL judgments can predict actual learning, and what factors may moderate their relative accuracy. In three experiments, undergraduate psychology students made EOL judgments on, then studied, and were tested on, lists of word-pairs (e.g., sun – warm). In Experiment 1, the Goodman-Kruskal gamma (
G
) correlations showed that EOL judgments were accurate (
G
= .74) when items varied enough in difficulty to allow for proper discrimination between them, but were less accurate (
G
= .21) when variation was smaller. Furthermore, in Experiment 1 and 3, we showed that the relative accuracy was reliably higher when the EOL judgments were correlated with a binary criterion (i.e., if an item was recalled or not on a test), compared with a trials-to-learn criterion (i.e., how many study and test trials were needed to recall an item). In addition, Experiments 2 and 3 indicate other factors to be non-influential for EOL accuracy, such as the task used to measure the EOL judgments, and whether items were judged sequentially (i.e., one item at a time in isolation from the other items) or simultaneously (i.e., each item was judged while having access to all other items). To conclude, EOL judgments can be highly accurate (
G
= .74) and may thus be of strategic importance for learning. Further avenues for research are discussed.</description><identifier>ISSN: 1556-1623</identifier><identifier>ISSN: 1556-1631</identifier><identifier>EISSN: 1556-1631</identifier><identifier>DOI: 10.1007/s11409-017-9172-3</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Accuracy ; Comparative Analysis ; Correlation ; cue utilization ; Decision Making ; ease of learning judgments ; Education ; item difficulty ; Judgments ; Learning ; Learning and Instruction ; Learning Processes ; Metacognition ; monitoring ; Prediction ; Psychology ; psykologi ; Recall (Psychology) ; Resistance (Psychology) ; Studies ; Teaching and Teacher Education ; Test Items ; Undergraduate Students</subject><ispartof>Metacognition and learning, 2017-12, Vol.12 (3), p.337-355</ispartof><rights>The Author(s) 2017</rights><rights>Metacognition and Learning is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-4892b89cd2fd2d6eb61a1c181bc227c3458cc58122f7e9243adb94af08b5204e3</citedby><cites>FETCH-LOGICAL-c456t-4892b89cd2fd2d6eb61a1c181bc227c3458cc58122f7e9243adb94af08b5204e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1962128219/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1962128219?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,21378,21394,27924,27925,33611,33877,43733,43880,74221,74397</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1160466$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308590$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-149676$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Jemstedt, Andreas</creatorcontrib><creatorcontrib>Kubik, Veit</creatorcontrib><creatorcontrib>Jönsson, Fredrik U.</creatorcontrib><title>What moderates the accuracy of ease of learning judgments?</title><title>Metacognition and learning</title><addtitle>Metacognition Learning</addtitle><description>When people begin to study new material, they may first judge how difficult it will be to learn. Surprisingly, these
ease of learning
(EOL) judgments have received little attention by metacognitive researchers so far. The aim of this study was to systematically investigate how well EOL judgments can predict actual learning, and what factors may moderate their relative accuracy. In three experiments, undergraduate psychology students made EOL judgments on, then studied, and were tested on, lists of word-pairs (e.g., sun – warm). In Experiment 1, the Goodman-Kruskal gamma (
G
) correlations showed that EOL judgments were accurate (
G
= .74) when items varied enough in difficulty to allow for proper discrimination between them, but were less accurate (
G
= .21) when variation was smaller. Furthermore, in Experiment 1 and 3, we showed that the relative accuracy was reliably higher when the EOL judgments were correlated with a binary criterion (i.e., if an item was recalled or not on a test), compared with a trials-to-learn criterion (i.e., how many study and test trials were needed to recall an item). In addition, Experiments 2 and 3 indicate other factors to be non-influential for EOL accuracy, such as the task used to measure the EOL judgments, and whether items were judged sequentially (i.e., one item at a time in isolation from the other items) or simultaneously (i.e., each item was judged while having access to all other items). To conclude, EOL judgments can be highly accurate (
G
= .74) and may thus be of strategic importance for learning. Further avenues for research are discussed.</description><subject>Accuracy</subject><subject>Comparative Analysis</subject><subject>Correlation</subject><subject>cue utilization</subject><subject>Decision Making</subject><subject>ease of learning judgments</subject><subject>Education</subject><subject>item difficulty</subject><subject>Judgments</subject><subject>Learning</subject><subject>Learning and Instruction</subject><subject>Learning Processes</subject><subject>Metacognition</subject><subject>monitoring</subject><subject>Prediction</subject><subject>Psychology</subject><subject>psykologi</subject><subject>Recall (Psychology)</subject><subject>Resistance (Psychology)</subject><subject>Studies</subject><subject>Teaching and Teacher Education</subject><subject>Test Items</subject><subject>Undergraduate Students</subject><issn>1556-1623</issn><issn>1556-1631</issn><issn>1556-1631</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7SW</sourceid><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>M0P</sourceid><recordid>eNqFkU1LxDAQhoMouK7-AA9CwavRTJKmiReRdf1iwYsfx5CmabfrbrsmLbL_3pYuixfxNAPzzDvv8CJ0CuQSCEmuAgAnChNIsIKEYraHRhDHAoNgsL_rKTtERyEsCOGcCzpC1x9z00SrOnPeNC5EzdxFxtrWG7uJ6jxyJri-Lp3xVVkV0aLNipWrmnBzjA5yswzuZFvH6O1--jp5xLOXh6fJ7QxbHosGc6loKpXNaJ7RTLhUgAELElJLaWIZj6W1sQRK88QpypnJUsVNTmQaU8IdG6OLQTd8u3Wb6rUvV8ZvdG1KfVe-3-raFzq0GrgSiehw_D_-2cw1IzJWpOPPB37t66_WhUYv6tZX3UcalKBAJQXVUTBQ1tcheJfvdIHoPgE9JKC7BHSfgGbdztmw43xpd_z0GUAQLnqndOu0m1WF878u_yn6A0kFkPM</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Jemstedt, Andreas</creator><creator>Kubik, Veit</creator><creator>Jönsson, Fredrik U.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88B</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>M0P</scope><scope>M2M</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>ADTPV</scope><scope>AFDQA</scope><scope>AOWAS</scope><scope>D8T</scope><scope>D8V</scope><scope>ZZAVC</scope><scope>ABAVF</scope><scope>DG7</scope></search><sort><creationdate>20171201</creationdate><title>What moderates the accuracy of ease of learning judgments?</title><author>Jemstedt, Andreas ; Kubik, Veit ; Jönsson, Fredrik U.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-4892b89cd2fd2d6eb61a1c181bc227c3458cc58122f7e9243adb94af08b5204e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accuracy</topic><topic>Comparative Analysis</topic><topic>Correlation</topic><topic>cue utilization</topic><topic>Decision Making</topic><topic>ease of learning judgments</topic><topic>Education</topic><topic>item difficulty</topic><topic>Judgments</topic><topic>Learning</topic><topic>Learning and Instruction</topic><topic>Learning Processes</topic><topic>Metacognition</topic><topic>monitoring</topic><topic>Prediction</topic><topic>Psychology</topic><topic>psykologi</topic><topic>Recall (Psychology)</topic><topic>Resistance (Psychology)</topic><topic>Studies</topic><topic>Teaching and Teacher Education</topic><topic>Test Items</topic><topic>Undergraduate Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jemstedt, Andreas</creatorcontrib><creatorcontrib>Kubik, Veit</creatorcontrib><creatorcontrib>Jönsson, Fredrik U.</creatorcontrib><collection>SpringerOpen</collection><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Education Database (ProQuest)</collection><collection>Psychology Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SwePub</collection><collection>SWEPUB Kungliga Tekniska Högskolan full text</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><collection>SwePub Articles full text</collection><collection>SWEPUB Stockholms universitet full text</collection><collection>SWEPUB Stockholms universitet</collection><jtitle>Metacognition and learning</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jemstedt, Andreas</au><au>Kubik, Veit</au><au>Jönsson, Fredrik U.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1160466</ericid><atitle>What moderates the accuracy of ease of learning judgments?</atitle><jtitle>Metacognition and learning</jtitle><stitle>Metacognition Learning</stitle><date>2017-12-01</date><risdate>2017</risdate><volume>12</volume><issue>3</issue><spage>337</spage><epage>355</epage><pages>337-355</pages><issn>1556-1623</issn><issn>1556-1631</issn><eissn>1556-1631</eissn><abstract>When people begin to study new material, they may first judge how difficult it will be to learn. Surprisingly, these
ease of learning
(EOL) judgments have received little attention by metacognitive researchers so far. The aim of this study was to systematically investigate how well EOL judgments can predict actual learning, and what factors may moderate their relative accuracy. In three experiments, undergraduate psychology students made EOL judgments on, then studied, and were tested on, lists of word-pairs (e.g., sun – warm). In Experiment 1, the Goodman-Kruskal gamma (
G
) correlations showed that EOL judgments were accurate (
G
= .74) when items varied enough in difficulty to allow for proper discrimination between them, but were less accurate (
G
= .21) when variation was smaller. Furthermore, in Experiment 1 and 3, we showed that the relative accuracy was reliably higher when the EOL judgments were correlated with a binary criterion (i.e., if an item was recalled or not on a test), compared with a trials-to-learn criterion (i.e., how many study and test trials were needed to recall an item). In addition, Experiments 2 and 3 indicate other factors to be non-influential for EOL accuracy, such as the task used to measure the EOL judgments, and whether items were judged sequentially (i.e., one item at a time in isolation from the other items) or simultaneously (i.e., each item was judged while having access to all other items). To conclude, EOL judgments can be highly accurate (
G
= .74) and may thus be of strategic importance for learning. Further avenues for research are discussed.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11409-017-9172-3</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Comparative Analysis Correlation cue utilization Decision Making ease of learning judgments Education item difficulty Judgments Learning Learning and Instruction Learning Processes Metacognition monitoring Prediction Psychology psykologi Recall (Psychology) Resistance (Psychology) Studies Teaching and Teacher Education Test Items Undergraduate Students |
title | What moderates the accuracy of ease of learning judgments? |
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