Prior knowledge and other individual differences in the development of accuracy over the time-course of a pre-test/treatment/post-test study of instructed second language acquisition

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
James F. Lee ◽  
Stephen Doherty

Time-course data are temporal data that can be explored statically as an outcome measure of accuracy or dynamically from evolutionary and developmental perspectives. The present study examines the development and evolution of accuracy throughout the time-course of a pre-test/treatment/post-test study of instructed second language acquisition. The treatment is processing instruction (PI), which has a long history of positive results. PI research has overwhelmingly compared pre-test with post-test accuracy scores. The present study provides a fine-grained analysis as accuracy evolved and developed sentence by sentence. We analyse two sentence types: baseline active sentences and the target of instruction, passive sentences. Participants were divided into two groups, higher/lower prior knowledge, based on their pre-test scores processing passive sentences. Typically, PI research excludes higher prior knowledge participants, but here they are a comparison group. Our base measurement of development is an accuracy trend, defined as at least three correct answers in a row. We found that the number and length of accuracy trends increased over the time-course of the study and are affected by both sentence type and prior knowledge. The higher prior knowledge group always seems to have the advantage. Both prior knowledge groups benefit from instruction, but in different ways. We also found individual differences within the lower prior knowledge group: some participants benefited a great deal from instruction, some very little, and for some their accuracy with the baseline active sentences was temporarily destabilised.

2016 ◽  
Vol 2 (s1) ◽  
Author(s):  
Shiri Lev-Ari

AbstractPeople learn language from their social environment. Therefore, individual differences in the input that their social environment provides could influence their linguistic performance. Nevertheless, investigation of the role of individual differences in input on performance has been mostly restricted to first and second language acquisition. In this paper I argue that individual differences in input can influence linguistic performance even in adult native speakers. Specifically, differences in input can affect performance by influencing people’s knowledgebase, by modulating their processing manner, and by shaping expectations. Therefore, studying the role that individual differences in input play can improve our understanding of how language is learned, processed and represented.


2019 ◽  
Vol 9 (4) ◽  
pp. 737-744
Author(s):  
Paweł Scheffler

In a large scale survey of teachers’ perceptions of the challenges they face in teaching English to young primary school learners (Copland, Garton, & Burns, 2014), some of the key issues that are identified are as follows: teaching speaking, using only English in the classroom, enhancing motivation, maintaining discipline, catering for different individual needs (including special educational needs), dealing with parents, and teaching grammar as well as reading and writing. The relevance of Early Instructed Second Language Acquisition, edited by Rokita-Jaśkow and Ellis, is clearly shown by the fact that it addresses most of these central issues.


2001 ◽  
Vol 17 (4) ◽  
pp. 368-392 ◽  
Author(s):  
Peter Robinson

Individual differences in resource availability, and the patterns of cognitive abilities they contribute to, are important to:• explaining variation between learners in the effectiveness of second language (L2) instructional treatments;• describing differences in implicit, incidental and explicit L2 learning processes; and• explaining child-adult differences in acquisition processes, and therefore to any general theory of second language acquisition (SLA).In this article I describe a framework for research into the effects of cognitive abilities on SLA which is based on four interlocking hypotheses. These hypotheses are drawn from research in psychology, education and SLA and, where possible, I present evidence to support each of them. The hypotheses are:1) the Aptitude Complex Hypothesis;2) the Ability Differentiation Hypothesis;3) the Fundamental Difference Hypothesis; and4) the Fundamental Similarity Hypothesis.The hypotheses, and the relationships between them, define an Aptitude Complex/Ability Differentiation framework for further examining the influence of individual differences in cognitive abilities on SLA, and for developing a theoretically motivated measure of language learning aptitude. I argue that such research should adopt the interactionist approach described by Snow (1994) to identifying individual difference/learning condition interactions at a number of levels. I illustrate some of these interactions.


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