160 research outputs found
Teacher Characteristics, Teacher-Student Relationships, and Student Academic Outcomes in Chinese Junior High Schools
Experimental evidence of the effects of teacher characteristics and teacher-student relationships on student performance is limited and even more scarce in education contexts outside of the United States. In this dissertation, I implement quasi-experimental research designs in two separate studies to investigate teacher-characteristic effects and teacher-student-relationship effects in the population of Chinese junior high school students. I draw analytic samples from a two-year, student-level, nationally representative dataset and leverage a national trend of random teacher-student assignments to investigate teacher effects on student performance as well as subject-specific self-concept. I estimate teacher effects as the within-school, between-teacher variance components of teachers’ value added to student outcomes over a school year. In my first study, I find that, in China, more years of education or of teaching experience generally does not have a causal impact on student learning. Further, early career (less than three years) teachers consistently outperform their colleagues at the same school. Moreover, I detect some heterogeneity in teacher characteristic effects across subject areas: students benefit from teachers’ graduate-level degree and Education major in Chinese (language arts) but learn less from math teachers who hold a graduate-level degree, with the effect sizes medium to large in magnitude. My second study first adds novel evidence about a national policy initiative in China: assigning a formal advisor role to a core-content teacher. I find that students taught in their content area by their advisor had better relationships with their teacher, and students’ self-concept in language subjects (Chinese, and English as the nationally mandated second language) and their math and English test scores were higher. In Chinese and English, the enhanced relationship between teachers and students caused by being taught by advisor consistently improved students’ performance and the effect sizes were large in magnitude (although the estimates on Chinese score were imprecise). Together, these two articles contribute to the limited teacher effects literature in Chinese education context and importantly, provide implications for what teacher-level factors do or do not contribute to student performance to educators and policymakers worldwide
On the reverse Orlicz Busemann–Petty centroid inequality
AbstractIn this paper, the Orlicz centroid body, defined by E. Lutwak, D. Yang and G. Zhang, and the extrema of some affine invariant functionals involving the volume of the Orlicz centroid body are investigated. The reverse form of the Orlicz Busemann–Petty centroid inequalities is obtained in the two-dimensional case
Making Virtue Visible: Moral Exemplars and Narrative Governance in Xinwen Lianbo (2025)
This study examines how China,s flagship evening newscast constructs a politically meaning- ful “good person” (moral exemplar) through character-centered reports in 2025. Conceptually, we propose moral agenda-setting as a production-side process that links (a) governance-relevant issue salience, (b) virtue-attribute salience (second-level agenda setting), and (c) narrative and institutional devices that render virtue both imitable and legible as system capacity. Empir- ically, we compile a full-year corpus of Xinwen Lianbo character reports drawn from CCTV, s verbatim transcripts (2025-01-01 to 2025-12-31) and identify 38 reports that meet explicit inclusion criteria. We conduct a systematic textual analysis—combining structured coding with interpretive close reading—to examine issue domains, virtue attributes, authority-endorsement cues (genre labels, organizational positioning, and institutional “proof devices” such as proce- dures and metrics), and recurring narrative templates. The findings show that moral exemplars are constructed less as individualized morality and more as role-based virtue packages embed- ded in organizational arrangements, where quantified performance and standardized procedures function as legitimacy cues. We discuss how this genre translates abstract values into actionable scripts while aligning everyday virtue with governance rationales, ofering a replicable frame- work for studying moral communication in authoritative news systems. We position moral agenda-setting as a genre-based mechanism of production-side agenda-building
Large scale satellite imagery simulations with physically based ray tracing on tianhe-1A supercomputer
Developing highly scalable algorithms for satellite imagery simulations is becoming increasingly important as scientists inquire to understand the mechanism of satellite imagery before satellites are launched into orbit. Although physically based ray tracing technique for image rendering has produced some of the most realistic images to date, studies on satellite imagery simulations using this technique are still very less to be seen, due in large part to both the complex physical processes and the computational difficulties of the mathematical models. In this paper, we present a highly scalable physically based ray tracer for satellite imagery simulations. Our ray tracer is based on a Master-Worker-Receiver framework which can overcome the performance bottleneck of Master node. Besides, a novel sample distribution strategy is presented by the authors, aiming at removing high additional computation overhead which is introduced by the currently available pixel distribution strategy. Compared to the pixel distribution strategy, our sample distribution strategy drops the computation overhead by 0.25 to 4 times. We also discuss the issue with granularity of assignment partitioning for Inter-Nodes and Intra-Nodes, then a hybrid scheduling strategy combining static and dynamic scheduling strategies is presented. Experiments show that our physically based ray tracer almost reaches to a linear speedup by using 16,800 CPU cores on Tianhe-1A Supercomputer. Our ray tracer is more efficient and highly scalable. © 2013 IEEE.Developing highly scalable algorithms for satellite imagery simulations is becoming increasingly important as scientists inquire to understand the mechanism of satellite imagery before satellites are launched into orbit. Although physically based ray tracing technique for image rendering has produced some of the most realistic images to date, studies on satellite imagery simulations using this technique are still very less to be seen, due in large part to both the complex physical processes and the computational difficulties of the mathematical models. In this paper, we present a highly scalable physically based ray tracer for satellite imagery simulations. Our ray tracer is based on a Master-Worker-Receiver framework which can overcome the performance bottleneck of Master node. Besides, a novel sample distribution strategy is presented by the authors, aiming at removing high additional computation overhead which is introduced by the currently available pixel distribution strategy. Compared to the pixel distribution strategy, our sample distribution strategy drops the computation overhead by 0.25 to 4 times. We also discuss the issue with granularity of assignment partitioning for Inter-Nodes and Intra-Nodes, then a hybrid scheduling strategy combining static and dynamic scheduling strategies is presented. Experiments show that our physically based ray tracer almost reaches to a linear speedup by using 16,800 CPU cores on Tianhe-1A Supercomputer. Our ray tracer is more efficient and highly scalable. © 2013 IEEE
Particle Swarm Optimization Based on Uncertain Knowledge for Dynamic Data Reconciliation
The Signaling Paradox: Revisiting the Impacts of Overeducation in the Chinese Labor Market
With the widespread popularization of higher education, the increased supply of knowledge laborers has heightened the risk of overeducation, posing a significant threat to employment quality. Utilizing data from the CGSS2015 survey, this study controls for selection bias by matching employed and self-employed individuals using Propensity Score Matching (PSM) to distinguish and estimate the signaling and productivity effects of overeducation in China. The findings indicate that the signaling effects of overeducation are not significant, challenging the Weak Screening Hypothesis (WSH) and suggesting that overeducation in China is not genuine overeducation. It is also acknowledged that overeducation has dual productivity effects, including the loss of personal productivity and the promotion of job productivity. This implies that overeducation has contributed to the increase of social productivity at the cost of personal sacrifice
- …
