P
Peter Robinson
Researcher at Aoyama Gakuin University
Publications - 76
Citations - 9589
Peter Robinson is an academic researcher from Aoyama Gakuin University. The author has contributed to research in topics: Second-language acquisition & Task (project management). The author has an hindex of 35, co-authored 72 publications receiving 9083 citations. Previous affiliations of Peter Robinson include University of Pittsburgh & University of Queensland.
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Cognition and second language instruction
TL;DR: In this paper, Schmidt and Hulstijn present a triadic framework for examining task influence on SLA. But they do not discuss the role of task complexity in SLA learning.
Journal ArticleDOI
Task complexity, task difficulty, and task production : Exploring interactions in a componential framework
TL;DR: The authors examined the effects of the cognitive complexity of tasks on language production and learner perceptions of task difficulty, and for motivating sequencing decisions in task-based syllabuses, and found that increasing the complexity of a direction-giving map task significantly affects speaker-information-giver production.
Journal ArticleDOI
Attention, Memory, and the “Noticing” Hypothesis
TL;DR: In this paper, a model of the relationship between attention and memory was proposed, which is complementary to Schmidt's noticing hypothesis and oppositional to the dual-system hypothesis of Krashen.
BookDOI
Handbook of cognitive linguistics and second language acquisition
Peter Robinson,Nick C. Ellis +1 more
TL;DR: This work concludes with Conclusions: Cognitive Linguistics, SLA and L2 Instruction - Issues for Research.
Journal ArticleDOI
Cognitive Complexity and Task Sequencing: Studies in a Componential Framework for Second Language Task Design
TL;DR: The Cognition Hypothesis as mentioned in this paper claims that pedagogic tasks should be sequenced for learners on the basis of increases in their cognitive complexity, and that individual differences contributing to perceptions of task difficulty progressively differentiate performance and learning as tasks increase in complexity.