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Structured interaction between teacher and student in the flipped classroom enhances learning and interbrain synchrony

Studies have found that flipped classroom teaching (FT) improves learning compared to lecture-based teaching (LT). However, whether the structured teacher–student interaction—the key feature of FT—plays an essential role in enhancing learning remains unclear, as do its neural underpinnings. Here, we compared three teaching conditions: FT with a video lecture and structured interaction, LT with a face-to-face lecture and spontaneous interaction, and control teaching (CT) with a video lecture and spontaneous interaction. The fNIRS-based hyperscanning technique was used to assess the interbrain synchrony (IBS) from teacher-student dyads. Results showed that the learning was significantly improved in FT than in LT and CT, and FT significantly increased teacher–student IBS in left DLPFC. Moreover, the IBS and learning improvements were positively correlated. Therefore, these findings indicate that the structured teacher–student interaction is crucial for enhancing learning in FT, and IBS serves as its neural foundation.

Affiliation around tensions: strategies for aligning with putative readers through counter-expectation resources in media editorials

One important feature of newspaper editorials concerns the presentation of opposing values towards one ideational entity. This study aims to explore affiliation around contrasting values in media discourse, with a particular focus on the role of counter-expectation resources in dynamically managing these values and creating ambient affiliation between writers and putative readers. The analyses were undertaken with reference to the discourse semantic systems of ideation and appraisal in systemic functional linguistics. Based on close qualitative analysis of a corpus of editorials collected from The Australian, this study identified four recurrent rhetorical strategies used to override positive assessments of the Labor Party. The analysis develops the affiliation framework by exploring alignment around opposing values and provides guidelines for widening the study of persuasion in media discourse by focusing on the rhetorical functions of counter-expectation resources.

US-China tech decoupling increases willingness to share personal data in China

Conflicts involving tech companies and data privacy between the US and China have evolved into a technology decoupling between the two countries. Nationalistic sentiments have been on the rise in both countries as well. This study examines how the rising geo-technological race and conflict affect people’s perception of data privacy. In particular, we examine whether reminding Chinese internet users of the US-China technological decoupling influences their willingness to share personal data. We conduct a randomized online experiment where we remind people of the US–China technology competition in artificial intelligence or the US sanctions on Chinese tech companies and examine the impact on respondents’ willingness to share personal data with private companies, the central government and local government. We find that the US-China tech decoupling treatments increase people’s willingness to share their data with private companies. Exploring the heterogeneous treatment effects by gender and education level reveals that nationalism is likely the mediating factor that explains why some people, especially, males and the college educated, are more likely to increase their willingness to share personal data when exposed to these treatments. Moreover, the US-China tech decoupling treatments directly increase people’s perception that data is a key input for Chinese company competitiveness in AI development. In sum, we find that reminding people of the US-China tech decoupling can invoke nationalistic sentiment and increase people’s willingness to share data with private companies and the government in China. The randomized control trial was pre-registered on the AEA RCT Registry (AEARCTR-0007526). The public URL of https://www.socialscienceregistry.org/trials/7526 and the digital object identifier (DOI) is 10.1257/rct.7526-1.0.

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