Memory for text in line with and counter to our preferences

2011 ◽  
Author(s):  
Sophia I. Espinoza ◽  
David N. Rapp
Keyword(s):  
Memory For Text

Thinking Like a Teacher Enhances Memory for Text Information

2012 ◽  
Author(s):  
John F. Nestojko ◽  
Dung C. Bui ◽  
Henry L. Roediger ◽  
Sandra Hale
Keyword(s):  
Memory For Text ◽  
Text Information

Self-Explanation Prompts Plus Metacomprehension Monitoring Improve Memory for Text

2013 ◽  
Author(s):  
Aimee A. Callender ◽  
Bavani Paneerselvam ◽  
Brooke Widder
Keyword(s):  
Memory For Text

Inference making and memory for text: A computational model

2001 ◽  
Author(s):  
Paul Van Den Broek ◽  
Yuhtsuen Tzeng ◽  
Sandy Virtue ◽  
Tracy Linderholm ◽  
Michael E. Young
Keyword(s):  
Computational Model ◽  
Inference Making ◽  
Memory For Text

scholarly journals A Bayesian Account of Memory for Text

2019 ◽  
Author(s):  
Mark Andrews
Keyword(s):  
Bayesian Inference ◽  
Strong Evidence ◽  
Bayesian Model ◽  
Background Knowledge ◽  
Predictive Inference ◽  
Memory Representation ◽  
British English ◽  
Text Memory ◽  
Memory Experiment ◽  
Memory For Text

The study of memory for texts has had an long tradition of research in psychology. According to most general accounts, the recognition or recall of items in a text is based on querying a memory representation that is built up on the basis of background knowledge. The objective of this paper is to describe and thoroughly test a Bayesian model of these general accounts. In particular, we present a model that describes how we use our background knowledge to form memories in terms of Bayesian inference of statistical patterns in the text, followed by posterior predictive inference of the words that are typical of those inferred patterns. This provides us with precise predictions about which words will be remembered, whether veridically or erroneously, from any given text. We tested these predictions using behavioural data from a memory experiment using a large sample of randomly chosen texts from a representative corpus of British English. The results show that the probability of remembering any given word in the text, whether falsely or veridically, is well predicted by the Bayesian model. Moreover, compared to nontrivial alternative models of text memory, by every measure used in the analyses, the predictions of the Bayesian model were superior, often overwhelmingly so. We conclude that these results provide strong evidence in favour of the Bayesian account of text memory that we have presented in this paper.

scholarly journals The Efficacy Of Singing In Foreign-Language Learning

2021 ◽  
Author(s):  
Arla Good
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Foreign Language Learning ◽  
Limited Evidence ◽  
Spanish Speaking ◽  
Memory For Text ◽  
Foreign Text

This study extends the popular notion that memory for text can be supported by song to foreign-language learning. Singing can be intrinsically motivating, attention focusing, and simply enjoyable for learners of all ages. The melodic and rhythmic context of song enhances recall of native text; however, there is limited evidence that these benefits extend to foreign text. In this study, Spanish-speaking Ecuadorian children learned a novel English passage for two weeks. Children in a

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