The present paper explores nonnative (L2) phonological encoding of lexical entries and dissociates the difficulties associated with L2 phonological and phonolexical encoding by focusing on similarly sounding L2 words that are not differentiated by difficult phonological contrasts. We test two main claims of the fuzzy lexicon hypothesis: (1) L2 fuzzy phonolexical representations are not fully specified and lack details at both phonological and phonolexical levels of representation (Experiment 1); and (2) fuzzy phonolexical representations can lead to establishing incorrect form-to-meaning mappings (Experiment 2). The Russian-English Translation Judgment Task (Experiment 1, TJT) explores how the degree of phonolexical similarity between a word and its lexical competitor affects lexical access of Russian words. Words with smaller phonolexical distance (e.g., parent–parrot) show longer reaction times and lower accuracy compared to words with a larger phonolexical distance (e.g., parent–parchment) in lower-proficiency nonnative speakers, and, to a lesser degree, higher-proficiency speakers. This points to a lack of detail in nonnative phonolexical representations necessary for efficient lexical access. The Russian Pseudo-Semantic Priming task (Experiment 2, PSP) addresses the vulnerability of form-to-meaning mappings as a consequence of fuzzy phonolexical representations in L2. We primed the target with a word semantically related to its phonological competitor, or a potentially confusable word. The findings of Experiment 2 extend the results of Experiment 1 that, unlike native speakers, nonnative speakers do not properly encode phonolexical information. As a result, they are prone to access an incorrect lexical representation of a competitor word, as indicated by a slowdown in the judgments to confusable words. The study provides evidence that fuzzy phonolexical representations result in unfaithful form-to-meaning mappings, which lead to retrieval of incorrect semantic content. The results of the study are in line with existing research in support of less detailed L2 phonolexical representations, and extend the findings to show that the fuzziness of phonolexical representations can arise even when confusable words are not differentiated by difficult phonological contrasts.

This study examined whether musical training, ethnicity, and experience with a natural tone language influenced sensitivity to tone while listening to an artificial tone language. The language was designed with three tones, modeled after level-tone African languages. Participants listened to a 15-min random concatenation of six 3-syllable words. Sensitivity to tone was assessed using minimal pairs differing only in one syllable (nonword task: e.g., to-kà-su compared to ca-fí-to) or only in tone (tone task: e.g., to-kà-su compared to to-ká-su). Proficiency in an East Asian heritage language was the strongest predictor of success on the tone task. Asians without tone language experience were no better than other ethnic groups. We conclude by considering implications for research on second language learning, especially as approached through artificial language learning.

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Abstract. Perception of nonnative contrasts by adult second language (L2) learners is affected by native language phonology. The current study contrasted predictions from two models of L2 phonological acquisition that focus on different representational levels as the origin of native language transfer: the abstract categorization level from the Perceptual Assimilation Model for L2 learners (PAM-L2; Best & Tyler, 2007) and the phonetic level from the Automatic Selective Perception model (ASP; Strange, 2011). The target phonemes were pairs of Arabic consonants that were equally similar on the abstract categorization level but unequally similar on the phonetic level-voiced and voiceless pharyngeal fricatives /ʕ/, /ħ/ and uvular fricatives /χ/, /ʁ/. Twenty intermediate-level English-speaking Arabic L2 learners and 10 Arabic native speakers (NS) completed auditory identification and discrimination tasks. We first conducted a discriminant analysis (DA) to quantify ASP predictions based on phonetic variables. L2 learners were generally more accurate when perceiving the pharyngeal consonants compared to the uvulars and when perceiving the voiced phonemes compared to the voiceless. These findings, and L2 learners' perceptual variation across contexts, predicted by the DA, suggest that L2 speakers were able to track phonetic cues during L2 perception and thus favor the ASP. These results support the interpretation that L2 learners attend to the phonetic detail in nonnative segments; however, they do not build nativelike phonological representations for the segments with weaker phonetic cues. This ability to process low-level phonetic cues opens the possibility for learners to create more robust phonological representations.

Learning management systems (LMSs) are ubiquitous components of the academic technology experience for learners across a wide variety of instructional contexts. Learners’ interactions within an LMS are often contingent upon how instructors architect a module, course, or program of study. Patterns related to these learner interactions, often referred to as learning analytics implementation (LAI), can be represented by combining system-level LMS data with course-level design decisions to inform more granular insights into learner behaviour. The purpose of this paper is to use the LAI framework, specifically the principles of coordination and comparison (Wise & Vytasek, 2017), to examine how learner interaction patterns associated with LMS-use variables correspond to deliberate learning design decisions and course outcomes for a group of courses in the same undergraduate writing program. Visualizations of learner activity exhibited similar patterns of learner engagement across courses, corroborating the observation that design decisions heavily influence learner behaviour. Predictive analyses demonstrated strong influence of LMS use on final grades while accounting for course instructor. That is, while page views were not related to final grade, the length of discussion entries was often predictive. These results suggest that students who practised writing more — the main learning objective of this course — had higher final grades, regardless of variations in instructor and semester.