Motivating Students to Talk: TED Conference in University-Based Chinese Language Classrooms

This paper presents an innovative teaching method that uses TED conference to stimulate and support learners of Chinese in improving their speaking skills. In non-target language countries, students are often reluctant to use Chinese in real life. This study overviews a case where TED conferences were integrated into a university-based Chinese language course in New Zealand. It also discusses the major findings emerging from implementing this innovative pedagogy as well as the recommendations for future research. While motivating students to use Chinese in public setting, the approach has also enhanced critical thinking skills and co-learning in language classrooms. This paper ends by providing food for thought on designing engaging pedagogy in building and sustaining a knowledge-sharing culture in advanced Chinese courses in universities

Conformity and Digression: Change of Narrative in a Chinese Peasant\u27s Personal Writing

Rural China has gone through dramatic transformation from the Mao era to the post-Mao era. China scholars have been studying the institutional changes closely in the past few decades. However, Chinese peasants’ living experience and their memory and understanding of the past have not yet received enough attention and discussion. By examining personal writings of a peasant named Luo Xuechang in Jiande, Zhejiang province, this paper discusses the complex interactions between the state and the individual. This paper attempts to unfold the juxtaposition of state narratives and personal narratives embedded in Luo’s unpublished memoir, almanacs from 1972 to 1980, notebooks and other personal writings. By focusing on Luo’s writings on his family life, education, work and political perspectives, this paper reveals how Luo altered his personal narratives over time and how Luo carefully conformed with and digressed from state-produced national narratives to make sense of his own history

Motivating Students to Talk: TED Conference in University-Based Chinese Language Classrooms

This paper presents an innovative teaching method that uses TED conference to stimulate and support learners of Chinese in improving their speaking skills. In non-target language countries, students are often reluctant to use Chinese in real life. This study overviews a case where TED conferences were integrated into a university-based Chinese language course in New Zealand. It also discusses the major findings emerging from implementing this innovative pedagogy as well as the recommendations for future research. While motivating students to use Chinese in public setting, the approach has also enhanced critical thinking skills and co-learning in language classrooms. This paper ends by providing food for thought on designing engaging pedagogy in building and sustaining a knowledge-sharing culture in advanced Chinese courses in universities

Development of Self-assembly Templating Methods for Architecture of Porous Core-shell Nanocomposites

Ph.DDOCTOR OF PHILOSOPH

Towards Internationalising the Curriculum: A Case Study of Chinese Language Teacher Education Programs in China and Australia

This paper presents a comparative curricular inquiry of teacher education programs of Chinese as a foreign language in China and Australia. While there is an increasing demand for qualified Chinese language teachers both within China and Western countries, pre-service teacher training is regarded as one of the major factors in impeding success in effective student learning. Using an interpretative approach, this paper captures voices from teacher educators and pre-service teachers through in-depth interviews to supplement curriculum document reviews. The results identify curriculum differences in educational aims and objectives, learning content, methods of delivery and assessment. The study suggests aspects of curriculum which must be negotiated, in moving towards the internationalisation of the curriculum, to facilitate the mobility and adaptation required in overseas teaching contexts. The study ends with a discussion for urgent development of an internationalised curriculum of Chinese language teacher education and situated teacher education programs

Vestibule et cadre de référence

International audienc

Super-resolution of Ray-tracing Channel Simulation via Attention Mechanism based Deep Learning Model

As an emerging approach, deep learning plays an increasingly influential role in channel modeling. Traditional ray tracing (RT) methods of channel modeling tend to be inefficient and expensive. In this paper, we present a super-resolution (SR) model for channel characteristics. Residual connection and attention mechanism are applied to this convolutional neural network (CNN) model. Experiments prove that the proposed model can reduce the noise interference generated in the SR process and solve the problem of low efficiency of RT. The mean absolute error of our channel SR model on the PL achieves the effect of 2.82 dB with scale factor 2, the same accuracy as RT took only 52\% of the time in theory. Compared with vision transformer (ViT), the proposed model also demonstrates less running time and computing cost in SR of channel characteristics

Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History

A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. Previous search history memorized into the Binary Space Partitioning fitness tree can effectively restrain the individuals’ revisit phenomenon. The whole population is partitioned into several subspecies and cooperative coevolution is realized by an information communication mechanism between subspecies, which can enhance the global search ability of particles and avoid premature convergence to local optimum. To demonstrate the power of the method, comparisons between the proposed algorithm and state-of-the-art algorithms are grouped into two categories: 10 basic benchmark functions (10-dimensional and 30-dimensional), 10 CEC2005 benchmark functions (30-dimensional), and a real-world problem (multilevel image segmentation problems). Experimental results show that MCPSO-PSH displays a competitive performance compared to the other swarm-based or evolutionary algorithms in terms of solution accuracy and statistical tests

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network

We introduce a lightweight network to improve descriptors of keypoints within the same image. The network takes the original descriptors and the geometric properties of keypoints as the input, and uses an MLP-based self-boosting stage and a Transformer-based cross-boosting stage to enhance the descriptors. The enhanced descriptors can be either real-valued or binary ones. We use the proposed network to boost both hand-crafted (ORB, SIFT) and the state-of-the-art learning-based descriptors (SuperPoint, ALIKE) and evaluate them on image matching, visual localization, and structure-from-motion tasks. The results show that our method significantly improves the performance of each task, particularly in challenging cases such as large illumination changes or repetitive patterns. Our method requires only 3.2ms on desktop GPU and 27ms on embedded GPU to process 2000 features, which is fast enough to be applied to a practical system.Comment: 14 pages, 8 figures, 5 table