In this article, we examine power relations in College English teaching in China, focusing on the symbolic capital of English as a global language. Framing our discussion with Bourdieu's concept of symbolic capital and a review of literature, we problematize the importation of pedagogies from Western countries to China and argue that seemingly liberating pedagogies, such as the communicative language teaching approach, can be turned into a form of oppression of both the instructors and the students. Drawing on Freire's critical (...) pedagogy, we propose that a truly liberating pedagogy should be based on a dialogical relationship between policy-makers, teachers, and students in consideration of the specific economic, social, and cultural backgrounds of the students and teachers. (shrink)

Facial expressions are a vital way for humans to show their perceived emotions. It is convenient for detecting and recognizing expressions or micro-expressions by annotating a lot of data in deep learning. However, the study of video-based expressions or micro-expressions requires that coders have professional knowledge and be familiar with action unit coding, leading to considerable difficulties. This paper aims to alleviate this situation. We deconstruct facial muscle movements from the motor cortex and systematically sort out the relationship among facial (...) muscles, AU, and emotion to make more people understand coding from the basic principles: We derived the relationship between AU and emotion based on a data-driven analysis of 5,000 images from the RAF-AU database, along with the experience of professional coders.We discussed the complex facial motor cortical network system that generates facial movement properties, detailing the facial nucleus and the motor system associated with facial expressions.The supporting physiological theory for AU labeling of emotions is obtained by adding facial muscle movements patterns.We present the detailed process of emotion labeling and the detection and recognition of AU.Based on the above research, the video's coding of spontaneous expressions and micro-expressions is concluded and prospected. (shrink)

The widespread use of online information resources by translation students has motivated an increasing number of researchers to investigate the relationship between online information seeking and translation performance. However, these studies mainly address the direct effect of online information seeking on translation performance, thus failing to explore and identify the internal psychological mechanisms. This study, therefore, explores the mediating role of translation self-efficacy in the relationship between online information seeking and translation performance. A total of 314 translation students in China (...) completed questionnaires on online information seeking and translation self-efficacy, and translation performance was measured by assessing the quality of a translation task given to them. Results showed that translation self-efficacy partially mediated the association between online information seeking and students’ translation performance. These findings can contribute to our understanding of the role that translation self-efficacy plays in information seeking behaviors and the emotional states of translation students in translator training. (shrink)

Digital technologies, such as artificial intelligence, brain-computer interfaces technology and big data, enable many firms to innovate their business model. It is clearly an emotional process due to its complex and uncertain nature, and involves individuals’ emotion regulation, yet the current research lacks an effective conversion path from emotion to digital business model innovation. Drawing on theories and research on emotion regulation and business model innovation, we investigate how emotion regulation of entrepreneurs influence digital BMI. Data from 126 new ventures (...) show that entrepreneurs’ reappraisal positively affects digital BMI, while entrepreneurs’ suppression exerts opposite effects on digital BMI. Moreover, we find that environmental dynamism moderates this relationship. The findings explain the emotional complexity in digital technology empowerment, which has implications for the development and design of brain computer interface applications and the literature on emotions and business model innovation. (shrink)