Key points are not available for this paper at this time.
The present study investigates the effectiveness of a GenAI-based chatbot, "Reading Bot," in reducing foreign language reading anxiety (FLRA) and improving foreign language reading performance (FLRP) among Chinese secondary school students learning English as a foreign language (EFL). To do so, a mixed-methods quasi-experimental pre-test/post-test design with qualitative interviews was employed. After ensuring homogeneity between the two groups, one class was designated as the experimental group (n = 42), utilizing a chatbot as a treatment, while the other class served as the comparison group (n = 42), receiving traditional teacher support. Both groups participated in five 45-min reading practice sessions. The results indicated that the chatbot intervention significantly reduced the participants' FLRA within the experimental group when comparing pre- and post-test scores. However, no significant differences were found between the two groups after the treatment, either in FLRA or FLRP. The qualitative analysis of semi-structured interviews suggested that the chatbot provided technological, pedagogical, linguistic, and affective affordances to assist reading. Nevertheless, the analysis also revealed some potential drawbacks and challenges to a GenAI-enhanced approach to reading instruction that may have influenced FLRA and FLRP. The theoretical and pedagogical implications of these findings are discussed, along with potential directions for future research.
Building similarity graph...
Analyzing shared references across papers
Loading...
Shuyan Zheng
Computers and Education Artificial Intelligence
Hong Kong Polytechnic University
Shenzhen Baoan High School Group
Building similarity graph...
Analyzing shared references across papers
Loading...
Shuyan Zheng (Tue,) studied this question.
www.synapsesocial.com/papers/68e5f50bb6db6435875898b3 — DOI: https://doi.org/10.1016/j.caeai.2024.100271