Literature DB >> 24898119

People use the memory for past-test heuristic as an explicit cue for judgments of learning.

Michael J Serra1, Robert Ariel.   

Abstract

When people estimate their memory for to-be-learned material over multiple study-test trials, they tend to base their judgments of learning (JOLs) on their test performance for those materials on the previous trial. Their use of this information-known as the memory for past-test (MPT) heuristic-is believed to be responsible for improvements in the relative accuracy (resolution) of people's JOLs across learning trials. Although participants seem to use past-test information as a major basis for their JOLs, little is known about how learners translate this information into a judgment of learning. Toward this end, in two experiments, we examined whether participants factored past-test performance into their JOLs in either an explicit, theory-based way or an implicit way. To do so, we had one group of participants (learners) study paired associates, make JOLs, and take a test on two study-test trials. Other participants (observers) viewed learners' protocols and made JOLs for the learners. Presumably, observers could only use theory-based information to make JOLs for the learners, which allowed us to estimate the contribution of explicit and implicit information to learners' JOLs. Our analyses suggest that all participants factored simple past-test performance into their JOLs in an explicit, theory-based way but that this information made limited contributions to improvements in relative accuracy across trials. In contrast, learners also used other privileged, implicit information about their learning to inform their judgments (that observers had no access to) that allowed them to achieve further improvements in relative accuracy across trials.

Entities:  

Mesh:

Year:  2014        PMID: 24898119     DOI: 10.3758/s13421-014-0431-0

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  20 in total

Review 1.  A theory of implicit and explicit knowledge.

Authors:  Z Dienes; J Perner
Journal:  Behav Brain Sci       Date:  1999-10       Impact factor: 12.579

2.  Fluency of retrieval at study affects judgments of learning (JOLs): an analytic or nonanalytic basis for JOLs?

Authors:  G Matvey; J Dunlosky; R Guttentag
Journal:  Mem Cognit       Date:  2001-03

3.  A revised methodology for research on metamemory: Pre-judgment Recall and Monitoring (PRAM).

Authors:  Thomas O Nelson; Louis Narens; John Dunlosky
Journal:  Psychol Methods       Date:  2004-03

4.  Magnitude and accuracy differences between judgements of remembering and forgetting.

Authors:  Michael J Serra; Benjamin D England
Journal:  Q J Exp Psychol (Hove)       Date:  2012-05-25       Impact factor: 2.143

5.  Judgments of Learning are Influenced by Memory for Past Test.

Authors:  Bridgid Finn; Janet Metcalfe
Journal:  J Mem Lang       Date:  2008-01       Impact factor: 3.059

6.  Do older adults show less confidence in their monitoring of learning?

Authors:  Michael J Serra; John Dunlosky; Christopher Hertzog
Journal:  Exp Aging Res       Date:  2008 Oct-Dec       Impact factor: 1.645

7.  Easy comes, easy goes? The link between learning and remembering and its exploitation in metacognition.

Authors:  Asher Koriat
Journal:  Mem Cognit       Date:  2008-03

8.  The contributions of anchoring and past-test performance to the underconfidence-with-practice effect.

Authors:  Benjamin D England; Michael J Serra
Journal:  Psychon Bull Rev       Date:  2012-08

9.  Judgments of learning reflect encoding fluency: conclusive evidence for the ease-of-processing hypothesis.

Authors:  Monika Undorf; Edgar Erdfelder
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-09       Impact factor: 3.051

10.  Contributions of beliefs and processing fluency to the effect of relatedness on judgments of learning.

Authors:  Michael L Mueller; Sarah K Tauber; John Dunlosky
Journal:  Psychon Bull Rev       Date:  2013-04
View more
  10 in total

Review 1.  How often are thoughts metacognitive? Findings from research on self-regulated learning, think-aloud protocols, and mind-wandering.

Authors:  Megan L Jordano; Dayna R Touron
Journal:  Psychon Bull Rev       Date:  2018-08

2.  Predicting others' knowledge: Knowledge estimation as cue utilization.

Authors:  Jonathan G Tullis
Journal:  Mem Cognit       Date:  2018-11

3.  The influence of feedback on predictions of future memory performance.

Authors:  Danielle M Sitzman; Matthew G Rhodes; Nate Kornell
Journal:  Mem Cognit       Date:  2016-10

4.  Younger and older adults weigh multiple cues in a similar manner to generate judgments of learning.

Authors:  Jarrod C Hines; Christopher Hertzog; Dayna R Touron
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2015-04-01

5.  Explaining the forgetting bias effect on value judgments: The influence of memory for a past test.

Authors:  Matthew G Rhodes; Amber E Witherby; Alan D Castel; Kou Murayama
Journal:  Mem Cognit       Date:  2017-04

6.  Age-related similarities and differences in monitoring spatial cognition.

Authors:  Robert Ariel; Scott D Moffat
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2017-03-31

7.  The relatedness effect on judgments of learning: A closer look at the contribution of processing fluency.

Authors:  Monika Undorf; Edgar Erdfelder
Journal:  Mem Cognit       Date:  2015-05

8.  The influence of perceptual information on control processes involved in self-regulated learning: evidence from item selection.

Authors:  Fengying Li; Ruibo Xie; Xinyu Li; Weijian Li
Journal:  Psychon Bull Rev       Date:  2015-08

9.  Building metamemorial knowledge over time: insights from eye tracking about the bases of feeling-of-knowing and confidence judgments.

Authors:  Elizabeth F Chua; Lisa A Solinger
Journal:  Front Psychol       Date:  2015-08-18

10.  How Much Do Metamemory Beliefs Contribute to the Font-Size Effect in Judgments of Learning?

Authors:  Xiao Hu; Tongtong Li; Jun Zheng; Ningxin Su; Zhaomin Liu; Liang Luo
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.