STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
A Study on the Factors Influencing Learning Outcomes of English Majors in "Artificial Intelligence and Innovative Applications" Course
DOI: https://doi.org/10.62517/jhet.202515326
Author(s)
Yanhui Zhong, You Chen*
Affiliation(s)
College of Foreign Studies, Guangdong University of Science and Technology, Dongguan, Guangdong, China *Corresponding author.
Abstract
This study explores the factors influencing learning outcomes among English majors enrolled in the "Artificial Intelligence and Innovative Applications" course. Using a qualitative research approach, this study conducted semi-structured interviews with 10 English majors to examine their learning motivations, experiences, and outcomes. Key findings indicate that learning motivation, effective teaching design, foundational knowledge, and teacher guidance significantly impact student performance in AI course. Approximately 70% of students demonstrated a shift from initial resistance to proactive learning after recognizing the practical relevance of AI, while 80% emphasized the importance of hands-on practice and collaborative learning in enhancing their understanding. Additionally, the study highlights the unique strengths of English majors, such as strong reading comprehension and critical thinking skills, which facilitate their adaptation to AI technologies. However, the study also identifies several challenges, including limited technical support, small sample size, and a lack of longitudinal data. The findings underscore the need for targeted curriculum design that leverages the strengths of language students while addressing their unique challenges in AI education. This study provides valuable insights for educators and curriculum designers seeking to improve the effectiveness of AI courses for non-technical students.
Keywords
Artificial Intelligence (AI); English Majors; Learning Outcomes; Curriculum Design; Language Education
References
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