Serial Position Learning in Honeybees [PDF]
PLoS ONE, 2009 Learning of stimulus sequences is considered as a characteristic feature of episodic memory since it contains not only a particular item but also the experience of preceding and following events. In sensorimotor tasks resembling navigational performance, the serial order of objects is intimately connected with spatial order.
Randolf Menzel
openaire +5 more sources
The mechanisms underlying the influence of perceived pressure on doctoral students' learning engagement: a serial mediation of social support and academic self-efficacy. [PDF]
Front PsycholPurposeThis study aims to examine how perceived pressure influences doctoral students’ learning engagement, specifically analyzing the serial mediating roles of social support and academic self-efficacy.MethodsA cross-sectional questionnaire survey was ...
Zhang J, Wu P, Chen W, Fang F.
europepmc +2 more sources
The associations between students' attitudes toward AI and learning engagement: serial mediating roles of perceived autonomy and learning enjoyment. [PDF]
Front PsycholIntroductionArtificial intelligence (AI) tools are increasingly integrated into higher education to provide real-time feedback and personalized learning support.
Liang H, Reiss MJ.
europepmc +2 more sources
Learning, hubris and corporate serial acquisitions [PDF]
SSRN Electronic Journal, 2007 Recent empirical research has shown that, from deal to deal, serial acquirers' cumulative abnormal returns (CAR) are declining. This has been most often attributed to CEOs hubris. We question this interpretation. Our theoretical analysis shows that (i) a
AKTAS, Nihat +2 more
core +3 more sources
PLoS ONE, 2023 Based on the serial mergers and acquisitions(M&A) data of Chinese A-share listed companies from 2010 to 2019, this paper discusses whether there are geographical peer effects in serial M&A, and tests its mechanism and influence path.
Xiaoxu Zhang, Yu Song, Qiaoran Liao
doaj +1 more source
Machine Learning Explicit and Implicit Model for Factor Classification Based on Factor Space Theory
Computer Sciences & Mathematics Forum, 2023 Factor implicit thought in factor space theory can be used to solve the classification problem of machine learning. On the basis of factor implicitness, a serial sweeping class classification algorithm is proposed, and a factor implicit model is ...
Kaijie Zhang +4 more
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Dissociation of Procedural and Working Memory in Pigeons (Columba livia)
International Journal of Psychological Research, 2016 A new method was developed to concurrently investigate procedural memory and working memory in pigeons. Pigeons performed a sequence of keypecks across 3 response keys in a serial response task, with periodic choice probes for the location of a recently
Walter T. Herbranson
doaj +3 more sources
Modality, presentation, domain and training effects in statistical learning
Scientific Reports, 2022 While several studies suggest that the nature and properties of the input have significant effects on statistical learning, they have rarely been investigated systematically.
Krisztina Sára Lukics, Ágnes Lukács
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Does formal complexity reflect cognitive complexity? Investigating aspects of the Chomsky Hierarchy in an artificial language learning study. [PDF]
PLoS ONE, 2015 This study investigated whether formal complexity, as described by the Chomsky Hierarchy, corresponds to cognitive complexity during language learning.
Birgit Öttl +2 more
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Frontiers in Psychology, 2022 IntroductionHaving to adapt to a new environment with various other challenges while completing their studies, Chinese college students experience intense stress related to the study of the English language. However, there has been little research on the
Liling Xu +3 more
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