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1,691 results on '"Tang, Chun"'

1. A bifurcation-type result for Kirchhoff equations

Author

Liu, Jiu, Liao, Jia-Feng, Pan, Hui-Lan, and Tang, Chun-Lei

Subjects
Mathematics, QA1-939
Abstract

This paper deals with a class of Kirchhoff type elliptic Dirichlet boundary value problems where the combined effects of Kirchhoff term and nonlinear term allow us to establish a bifurcation-type result as the positive parameter varies.

Published
2022
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4. Learner Characteristics and Learners' Inclination towards Particular Learning Environments

Author

Chaw, Lee Yen and Tang, Chun Meng

Abstract

In addition to a face-to-face classroom learning environment, today's learners in higher education are likely to have also experienced a blended learning or an online learning environment. These learning environments not only differ in their delivery modes, but also learning activities, class interactions, assessment approaches, etc. Learners tend to have differing perceptions about the effectiveness of different learning environments. This study therefore investigates whether the reasons learners like or dislike a learning environment reveal learner characteristics that may explain why some learners are more inclined towards a particular learning environment. This study also examines whether learner demographics influence learner characteristics and their preference for a particular learning environment. Using an exploratory sequential mixed methods research design, this study first conducted several focus group discussions and then administered an online questionnaire survey to collect input from students at a local university. Analyses derived four learner characteristics (i.e. desire for direct support, digital readiness, learning independence, and online hesitancy) based on the reasons why the students liked or disliked face-to-face classroom learning, blended learning, or online learning environments. A cluster analysis further distinguished the students into three groups (i.e. classroom learners, insecure learners, and online learners) based on the four learner characteristics. Analyses also found that learners' demographics largely had no effect on learners' characteristics and their preference for a particular learning environment. The findings suggest that learner characteristics may provide a clue to why certain learners have a preference for a face-to-face classroom learning, a blended learning, or an online learning environment. A better understanding of the relationship between learner characteristics and learners' inclination towards a particular learning environment can be helpful to educational institutions and academics to design a range of engaging learning activities for learners with different characteristics.

Published
2023

5. Mirror-image cyclodextrins

Author

Wu, Yong, Aslani, Saba, Han, Han, Tang, Chun, Wu, Guangcheng, Li, Xuesong, Wu, Huang, Stern, Charlotte L., Guo, Qing-Hui, Qiu, Yunyan, Chen, Aspen X.-Y., Jiao, Yang, Zhang, Ruihua, David, Arthur H. G., Armstrong, Daniel W., and Fraser Stoddart, J.

Published
2024
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17. Exploring the Role of Learner Characteristics in Learners' Learning Environment Preferences

Author

Chaw, Lee Yen and Tang, Chun Meng

Abstract

Purpose: This study intends to examine whether the reasons learners like or dislike a learning environment can help explain the differences in the characteristics of the learner and whether learner characteristics can influence a learner's preference for a learning environment. Design/methodology/approach: This study adopted an exploratory sequential mixed methods research design. The study first conducted focus groups with university students to uncover their learner characteristics by examining the reasons they liked or disliked a learning environment. This was followed by a questionnaire survey to explore how these learner characteristics influenced learner inclination for a learning environment. The survey data were analysed using exploratory and confirmatory factor analysis (partial least squares structural equation modelling). Findings: The findings showed that two types of learner characteristics, i.e. online learner characteristics and classroom learner characteristics, significantly affected learner inclination for a learning environment. Analyses also indicated that learner demographics had no major moderating effect between learner characteristics and learner inclination for a learning environment. Practical implications: The findings can be useful for education institutions, learning designers and academics to design engaging learning activities to better support different learning needs. Originality/value: This study makes a novel attempt to distinguish learner characteristics based on the reasons learners like or dislike a learning environment and establishes that individual learners' characteristics play a role in influencing their preference for a specific learning environment.

Published
2023
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37. Minimal-access video-assisted retroperitoneal and/or transperitoneal debridement (VARTD) in the management of infected walled-off pancreatic necrosis with deep extension: initial experience from a prospective single-arm study

Author

Wei, Wanjie, Tang, Yongliang, Peng, Zuxiang, Xie, Jun, Deng, Zhaoxia, Yuan, Tao, Tang, Chun, Pi, Ruxian, Wang, Shunan, Zhao, Siqi, Wang, Lu, Li, Chunxue, Wang, Yaoli, Zhang, Peng, Wu, Zhengbin, Wan, Yafeng, Ma, Yan, Tang, Wen, Liang, Xianchun, Liu, Kun, Wang, Wei, Liang, Xianyi, Zeng, Dongmei, Li, Shan, and Liu, Hongming

Published
2023
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41. Recent progress in hydrogen: From solar to solar cell

Author

Li, Yanlin, Ma, Zhu, Hou, Shanyue, Liu, Qianyu, Yan, Guangyuan, Li, Xiaoshan, Yu, Tangjie, Du, Zhuowei, Yang, Junbo, Chen, Yi, You, Wei, Yang, Qiang, Xiang, Yan, Tang, Shufang, Yue, Xuelin, Zhang, Meng, Zhang, Wenfeng, Yu, Jian, Huang, Yuelong, Xie, Jiale, Tang, Chun, Mai, Yaohua, and Sun, Kuan

Published
2024
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