Angxuan Chen

Mr. Angxuan Chen


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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12 November 2024 in Journal of Computer Assisted Learning
Verified
Journal Article
Closed access
ACAngxuan Chen
Angxuan Chen
YZYuyue Zhang
Yuyue Zhang
JJJiyou Jia
Jiyou Jia
MLMin Liang
Min Liang
YCYingying Cha
Yingying Cha
CLCher Ping Lim
Cher Ping Lim

8 November 2024 in Journal of Educational Computing Research
Verified
Journal Article
Closed access
ACAngxuan Chen
Angxuan Chen
JJJiyou Jia
Jiyou Jia
YLYuzhen Li
Yuzhen Li
LFLingyu Fu
Lingyu Fu
Role-play activities are considered a useful instructional design in enhancing the speaking performance of foreign language learners. However, in the traditional classroom context, learners may not readily have access to interlocutors for role-play activities. In this study, we proposed a designed method that integrated the GenAI agent into role-play activities and conducted a quasi-experiment at a Chinese university. A total of 53 Chinese students in an English course were assigned to an experimental group ( n = 29) that engaged in role-playing with a GenAI agent and a control group ( n = 24) that engaged in role-playing with their class peers. The results showed role-play activities with GenAI could facilitate students’ speaking performance, and one-way ANCOVA showed there was no significant difference in speaking performance improvement when compared with traditional role-play activities with peers. Moreover, the paired-sample Wilcoxon test showed that the treatment students had significant intrinsic motivation and self-efficacy improvement, which were higher than the control group. The findings provide important implications for the design and implementation of GenAI-integrated role-play activities for foreign language speaking learning.

11 February 2025 in Interactive Learning Environments
Verified
Journal Article
Closed access
Daner SunDaner Sun
Daner Sun
Gary ChengGary Cheng
Gary Cheng
PYPhilip Leung Ho Yu
Philip Leung Ho Yu
Jiyou JiaJiyou Jia
Jiyou Jia
ZZZhizi Zheng
Zhizi Zheng
ACAngxuan Chen
Angxuan Chen

10 October 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
ACAngxuan Chen
Angxuan Chen
HLHuaiya Liu
Huaiya Liu
Kam Cheong LiKam Cheong Li
Kam Cheong Li
Jiyou JiaJiyou Jia
Jiyou Jia
Student-athletes frequently struggle to strike a balance between their academic and athletic responsibilities. Various factors, such as age and competitive level, contribute to differences in their academic motivation and identity, showcasing the multifaceted needs they possess. While self-determination theory (SDT) has been proven effective for explaining student-athletes academic needs, its integration into learning design for this group remains limited. The developing AI technology, especially the Intelligent Tutoring System (ITS), offers the potential for creating personalized learning environments that can cater to the varying levels of motivation among student-athletes within the framework of SDT. Therefore, our paper explored how to build an SDT-based ITS for student-athletes to enhance their academic engagement and motivation. A two-stage experiment was conducted for: (a) identifying academic challenges faced by student-athletes in an online ITS; (b) evaluating the effectiveness of an SDT-based ITS design; and (c) exploring how autonomy, competence, and relatedness design affect their motivation. Results revealed that student-athletes face three challenges in learning in ITS: inflexible technology, identity missing, and mismatched learning difficulty. However, a significant improvement in academic engagement and motivation was shown when student-athletes faced an SDT-based ITS. In the meantime, the athletic motivation, which leads them to higher athletic performance, remains preserved and unaffected, showing a favorable outcome for student-athletes. This paper can provide practical implications for building a more inclusive and diverse learning environment for student-athletes.


30 October 2026 in Journal of Computer Assisted Learning
Verified
Journal Article
Closed access
ACAngxuan Chen
Angxuan Chen
HLHuaiya Liu
Huaiya Liu
CRChunlei Ren
Chunlei Ren
JLJingjing Lian
Jingjing Lian
Jiyou JiaJiyou Jia
Jiyou Jia