Kang Du

Dr. Kang Du

Xi'an University of Finance and Economics, Xi'an, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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KDKang Du
Kang Du
HWHuan Wang
Huan Wang
YMYue Ma
Yue Ma
HGHONGYU GUAN
HONGYU GUAN
Scott RozelleScott Rozelle
Scott Rozelle
Although eyeglasses have been considered a cost-effective way to combat myopia, the empirical evidence of its impacts on improving learning outcomes is inconsistent. This paper provides empirical evidence examining the effect of providing eyeglasses on academic performance between provinces with a different economic level in western China. Overall, we find a significant impact in Intention-to-Treat analysis and a large and significant local average treatment effect of providing free eyeglasses to students in the poor province but not in the other. The difference in impact between the two provinces is not a matter of experimental design, implementation, or partial compliance. Instead, we find that the lack of impact in the wealthier provinces is mainly due to less blackboard usage in class and wealthier households. Our study found that providing free eyeglasses to disadvantaged groups boosted their academic performance more than to their counterparts.

8 April 2024 in World Development
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Journal Article
Closed access
HGHONGYU GUAN
HONGYU GUAN
YZYunyun Zhang
Yunyun Zhang
KDKang Du
Kang Du
ZWZhijie Wang
Zhijie Wang
YSYaojiang Shi
Yaojiang Shi

7 January 2025 in BMC Public Health
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Journal Article
Open access
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YZYunyun Zhang
Yunyun Zhang
KDKang Du
Kang Du
Parental migration plays a significant role in shaping the health outcomes of left-behind children. However, limited research has been conducted on how parental migration impacts the dental health of these children in China. To address this gap, this study aims to investigate the effects of parental migration on the dental health of left-behind children and explore the underlying mechanisms that contribute to these outcomes. This study utilized data from the first wave of the China Education Panel Survey (CEPS), which included a representative sample of 9,175 junior high school students. Dental caries, the most common dental issue among school-aged children, were employed as the primary indicator of oral health, focusing on both the presence of caries and their treatment. The analysis incorporated multiple methodologies, including the Ordinary Least Squares (OLS) model, instrumental variables approach, and the Propensity Score Matching (PSM) method, to assess the impact of parental migration on the dental health of left-behind children. The findings indicated that parental migration did not increase the likelihood of left-behind children developing dental caries. However, it significantly reduced the probability of these children receiving treatment for dental caries. These results were consistent across various robustness tests. Mechanism analysis revealed no significant differences in the consumption of carbonated or sugary drinks between left-behind and non-left-behind children. However, left-behind children were less likely to identify their parents as their primary source of support and experienced lower levels of proactive communication from parents about their challenges compared to their peers. The study highlights that although parental migration does not increase the prevalence of dental caries among left-behind children, it contributes to inequities in their access to treatment. Given the serious implications of untreated dental caries, targeted efforts are needed to improve treatment rates among left-behind children.

1 January 2025 in Advances in Educational Technology and Psychology
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KDKang Du
Kang Du
This study investigates students' subjective evaluation and acceptance of AI-enabled smart classrooms at Xi'an University of Finance and Economics. Based on a cross-sectional survey of 166 undergraduate students, the study finds that although only around half of the students were aware of the concept of AI-assisted learning, more than three-quarters reported using AI tools in their studies and over 86% expressed high acceptance. Subjective evaluations indicated that students generally perceived AI tools as useful and believed they could enhance learning interest. However, many students remained cautious about the potential of AI to replace traditional teaching. The findings suggest that while students are willing to engage with AI-assisted learning, greater efforts are needed to improve awareness, critical understanding, and digital literacy. This study adds localized evidence to the growing body of research on educational AI and offers practical implications for improving smart classroom implementation in Chinese higher education.

1 August 2023 in Hong Kong Medical Journal
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Journal Article
Open access
LZL Zeng
L Zeng
WZW Zheng
W Zheng
QGQiufeng Gao
Qiufeng Gao
NQN Qiao
N Qiao
KDKang Du
Kang Du
AYAi Yue
Ai Yue
Hong Kong Med J 2023;29:Epub 1 Aug 2023 https://doi.org/10.12809/hkmj219899 © Hong Kong Academy of Medicine.