Literature DB >> 32940510

Are test-expectancy effects better explained by changes in encoding strategies or differential test experience?

Michelle L Rivers1, John Dunlosky1.   

Abstract

Prior research has investigated whether learners spontaneously adapt their encoding strategies in anticipation of particular test formats (i.e., the encoding-strategy adaptation hypothesis; Finley & Benjamin, 2012). However, the strongest evidence supporting this hypothesis is confounded with test experience (as argued by Cho & Neely, 2017). When learners gain equal experience with each test format, do they adapt their encoding strategy use? Across 3 experiments, participants studied lists of cue-target word pairs and after each list completed either a cued-recall test (recall targets given cues) or a free-recall test (recall targets only). Participants received equal experience with each test format. On a final critical test, participants either received a test in a format they expected or one that violated their expectations. On this critical test, participants who received a test they expected outperformed those who did not, and this was true for both cued and free recall. Also, a manipulation of cue-target associative strength had a greater effect on cued-recall tests than free-recall tests (Experiment 1), whereas a manipulation of target-target associative strength had a greater influence on free-recall tests than cued-recall tests (Experiments 2 and 3). These findings, along with divergent patterns of self-reported strategy use for the 2 anticipated test formats, support the encoding-strategy adaptation hypothesis. In particular, learners tend to use more cue-target associative strategies when expecting a cued-recall test, and more target-focused strategies when expecting a free-recall test. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Entities:  

Year:  2020        PMID: 32940510     DOI: 10.1037/xlm0000949

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  1 in total

1.  Differences in medical student performance on examinations: exploring score variance between Kolb's Learning Style Inventory classifications.

Authors:  Quentin J Reynolds; Kurt O Gilliland; Katie Smith; Joshua A Walker; Gary L Beck Dallaghan
Journal:  BMC Med Educ       Date:  2020-11-11       Impact factor: 2.463

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.