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Full-Text Articles in Social and Behavioral Sciences

Identification Of Key Factors In Texture Aversion And Acceptance, Robert Pellegrino Jr Aug 2020

Identification Of Key Factors In Texture Aversion And Acceptance, Robert Pellegrino Jr

Doctoral Dissertations

All five senses contribute to the experience of eating, giving feedback on whether to continue or stop the process of consumption. Sensory feedback loops help the consumer modulate food ingestion by determining nutritional value and possible hazards. Texture is one sense integral to the eating process that may lead to a food being accepted or rejected. However, which specific oral textural features contribute to overall acceptance and rejection of a food is not well understood. In our first study, we used three different cultures, Poland, U.S.A., and Singapore, to explore common texture features in food. Our results show that all …


Dynamic Written Corrective Feedback Among Graduate Students: The Effects Of Feedback Timing, Grant Eckstein, Maureen Estelle Sims, Lisa Rohm Jan 2020

Dynamic Written Corrective Feedback Among Graduate Students: The Effects Of Feedback Timing, Grant Eckstein, Maureen Estelle Sims, Lisa Rohm

Faculty Publications

Dynamic written corrective feedback (DWCF) is a pedagogical approach that offers meaningful, manageable, constant, and timely corrective feedback on student writing (Hartshorn et al., 2010). It emphasizes indirect and comprehensive written error correction on short, daily writing assignments. Numerous studies have demonstrated that its use can lead to fewer language errors among undergraduate and pre-matriculated college writers (see Kurzer, 2018). However, the benefits of DWCF among second language (L2) graduate writers and the role of feedback timing have not been well examined. We analyzed timed writing samples over a 12-week intervention from 22 L2 graduate students who either received biweekly …


How Inflection Class Systems Work: On The Informativity Of Implicative Structure, Jeffery R. Parker, Andrea D. Sims Jan 2016

How Inflection Class Systems Work: On The Informativity Of Implicative Structure, Jeffery R. Parker, Andrea D. Sims

Faculty Publications

The complexity of an inflection system can be defined as the average extent to which elements in the system inhibit motivated inferences about the realization of lexemes’ paradigm cells. Research shows that systems tend to exhibit relatively low complexity in this sense. However, relatively little work has explored how structural and distributional aspects of the inflectional system produce this outcome. In this paper we use the tools of information theory to do so. We explore a set of nine languages that have robust inflection class systems: Palantla Chinantec, French, Modern Greek, Icelandic, Kadiwéu, Nuer, Russian, Seri, and Võro. The data …


Phonological Concept Learning, Joe Pater Jan 2015

Phonological Concept Learning, Joe Pater

Linguistics Department Faculty Publication Series

Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can solve them in analogous ways, and that human performance in both cases can be captured by the same models. We test GMECCS (Gradual Maximum Entropy with a Conjunctive Constraint Schema), an implementation of the Configural Cue Model (Gluck & Bower, 1988a) in a Maximum Entropy phonotactic-learning framework (Goldwater & Johnson, 2003; Hayes & Wilson, 2008) with a single free parameter, against the alternative hypothesis that …