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406 results on '"Li, Yanzhi"'

5. A Study on Peer Mediation in Dynamic Assessment of Translation Revision Competence

Author

Liang, Yaqing, Li, Yanzhi, and Sang, Zhonggang

Abstract

This study investigated how peer-mediated Dynamic Assessment (DA) unfolded in translation revision competence (TRC) of students of Master's degree of Translation and Interpreting (MTI) in China. Thirty subjects first completed three revision tasks and were then rated as high- or low-level performers according to their average scores across the first two tasks. Students were subsequently assigned to either the role of learner or peer mediator. Peer mediators received training in a graduated prompts approach to DA to learn how to provide their peers with mediation. Peer mediation sessions were conducted with the mediators and the learners paired at random and directed to jointly review their third revision. After that, all participants re-revised their last texts with their justifications and were interviewed about their attitudes towards peer interaction and their progress in TRC. Diagnosis of TRC comprised scores of the first two revisions as well as the third revision following peer mediation, with this latter score indicating responsiveness to mediation and interpreted as the Zone of Proximal Development. The findings indicated that peer mediation may help improve both mediators' and learners' TRC, yet other potential factors at work should not be ignored. The peer engagement process allowed participants to improve their TRC in terms of justification and interpersonal skills. This research explored the application of DA in translation training and provided a process-oriented evaluation for translation studies.

Published
2023
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27. Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs

Author

Wu, Tongwen, Zhang, Zizhen, Li, Yanzhi, and Wang, Jiahai

Subjects
Computer Science - Data Structures and Algorithms, Computer Science - Artificial Intelligence
Abstract

Mobile sequential recommendation was originally designed to find a promising route for a single taxicab. Directly applying it for multiple taxicabs may cause an excessive overlap of recommended routes. The multi-taxicab recommendation problem is challenging and has been less studied. In this paper, we first formalize a collective mobile sequential recommendation problem based on a classic mathematical model, which characterizes time-varying influence among competing taxicabs. Next, we propose a new evaluation metric for a collection of taxicab routes aimed to minimize the sum of potential travel time. We then develop an efficient algorithm to calculate the metric and design a greedy recommendation method to approximate the solution. Finally, numerical experiments show the superiority of our methods. In trace-driven simulation, the set of routes recommended by our method significantly outperforms those obtained by conventional methods.

Published
2019

48. Two-Stage Submodular Maximization Under Curvature

Author

Li, Yanzhi, Liu, Zhicheng, Xu, Chuchu, Li, Ping, Chang, Hong, Zhang, Xiaoyan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Du, Ding-Zhu, editor, Du, Donglei, editor, Wu, Chenchen, editor, and Xu, Dachuan, editor

Published
2021
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