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The past decades have seen an explosion of research using electrophysiological or neuroimaging techniques for studying the neurocognitive underpinnings of second language (L2) processing. Although this field has a shorter history than does research on language learning more generally, important insights into the neurocognitive basis of L2 processing have driven it to the center stage of language science. In this target article forLanguage Learning’s 75th Jubilee volume, I illustrate the field's impressive achievements by selectively reviewing electrophysiological and neuroimaging research on L2 processing and bilingual brain organization. I also review changing perspectives in the field (including individual difference and experience‐based perspectives, neural network approaches, neuroplasticity, and L2‐learning related neural changes) and identified challenges, promises, and future directions (revisit native‐speaker benchmark, increase linguistic diversity, enhance ecological validity, intensify research on child L2 learners’ brain, adopt lifelong approach to L2 learning) that can lead to a better understanding of the neural underpinnings of L2 learning and processing.

 

Engineering programs, in general, do not explicitly address the need to enhance divergent thinking. To a certain extent this is due to a lack in knowledge on the cognitive and neural mechanisms underlying divergent thinking, and creative ideation more generally. We hypothesize that we can help enhance our students’ divergent thinking and creative processing outcomes by investigating the impacts of carefully selected methods and tools enabled by developments in the robust analysis of engineering ideation performance, and neurocognitive responses to creativity. In this paper, we present an experiment using the Event-Related brain Potentials (ERP) technique and creative language use (funded by Core R&D Programs). More specifically, we collected ERP responses to literal, nonsense, and novel metaphorical sentences that were either referring to engineering knowledge or general knowledge, testing engineering and non-engineering students. Following Rutter et al. [1], sentences differed in verb only and had been classified in prior sentence norming studies as highly unusual and highly appropriate (novel metaphors), low unusual and highly appropriate (literal sentences), and highly unusual and low appropriate (nonsense sentences). Participants read sentences while their EEG was recorded, and after reading the sentence made judgments about its unusualness and appropriateness. The findings indicate that prior knowledge modulates novel metaphor processing at the stage of lexico–semantic access, indexed by the amplitude of N400 component. Specifically, N400 amplitudes to novel metaphorical sentences are significantly reduced and pattern with literal sentences in engineers; in nonengineers, by contrast, we observed increased N400 amplitudes to novel metaphorical sentences that pattern with anomalous sentences. This mirror effect on the N400 corroborates recent findings demonstrating a strong impact of prior experience and expertise on meaning ambiguity resolution, which may in turn have implications for creative cognition. 

Assessing creativity is not an easy task, but that has not stopped researchers from exploring it. Because creativity is essential to engineering disciplines, knowing how to enhance creative abilities through engineering education has been a topic of interest. In this paper, the event related potential (ERP) technique is used to study the neural responses of engineers via a modified alternative uses task (AUT). Though only a pilot study testing two participants, the preliminary results of this study indicate general neuro-responsiveness to novel or unusual stimuli. These findings also suggest that a scaled-up study along these lines would enable better understanding and modeling of neuroresponses of engineers and creative thinking, as well as contribute to the growing field of ERP research in the field of engineering. 

Creativity is the driver of innovation in engineering. Hence, assessing the effectiveness of a curriculum, a method, or a technique in enhancing the creativity of engineering students is no doubt important. In this paper, the process involved in quantifying creativity when measured through the alternative uses task (AUT) is explained in detail. The AUT is a commonly used test for divergent thinking ability, which is a main aspect of creativity. Although it is commonly used, the processes used to score this task are far from standardized and tend to differ across studies. In this paper, we introduce these problems and move towards a standardized process by providing a detailed account of our quantification process. This quantification process takes into consideration four commonly used dimensions of creativity: originality, flexibility, fluency, and elaboration. AUT data from a preliminary case study were used to illustrate how the AUT and the quantification process can be used. The study was performed to understand the effect of the stereotype threat on the creativity of 25 female engineering students. The results indicate that after the stereotype threat intervention, participants generated more diverse and original ideas. 

Novel word learning and consolidation was studied in inexperienced language learners, to conceptually replicate and extend a similar study in experienced learners by Bakker, Takashima, Van Hell, Janzen, and McQueen (2015). Participants learned definitions for novel words on Day 1 and for another set of novel words on Day 2. Brain potentials collected in a semantic relatedness task revealed that learned words elicited a late positive component (LPC) priming effect after 24 hours but not on the day of learning. On Day 8, all previously learned words elicited LPC priming effects, but failed to modulate the N400. While LPC modulation emerged immediately after learning in the previous study of experienced learners, novel word meanings were found lexicalized only on Day 2 for inexperienced learners. Together, the findings suggest that novel word meaning lexicalization is gradual, and that prior language learning experience speeds up the process.

 

Novel metaphorical language use exemplifies human creativity through production and comprehension of meaningful linguistic expressions that may have never been heard before. Available electrophysiological research demonstrates, however, that novel metaphor comprehension is cognitively costly, as it requires integrating information from distantly related concepts. Herein, we investigate if such cognitive cost may be reduced as a factor of prior domain knowledge. To this end, we asked engineering and nonengineering students to read for comprehension literal, novel metaphorical, and anomalous sentences related to engineering or general knowledge, while undergoing EEG recording. Upon reading each sentence, participants were asked to judge whether or not the sentence was original in meaning (noveltyjudgment) and whether or not it made sense (sensicalityjudgment). When collapsed across groups, our findings demonstrate a gradual N400 modulation with N400 being maximal in response to anomalous, followed by metaphorical, and literal sentences. Between‐group comparisons revealed a mirror effect on the N400 to novel metaphorical sentences, with attenuated N400 in engineers and enhanced N400 in non‐engineers. Critically, planned comparisons demonstrated reduced N400 amplitudes to engineering novel metaphors in engineers relative to non‐engineers, pointing to an effect of prior knowledge on metaphor processing. This reduction, however, was observed in the absence of a sentence type × knowledge × group interaction. Altogether, our study provides novel evidence suggesting that prior domain knowledge may have a direct impact on creative language comprehension.