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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">IEF</journal-id><journal-title-group><journal-title>International Education Forum</journal-title></journal-title-group><issn>3083-4902</issn><eissn>2981-8605</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/IEF.v4i9.15732</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>AI-Generated Feedback and English Majors’ Self-Efficacy: A Qualitative Study Based on Semi-Structured Interviews</title><url>https://artdesignp.com/journal/IEF/4/9/10.26689/IEF.v4i9.15732</url><author>ZhangQiyu,ChenYou</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>9</issue><history><date date-type="pub"><published-time>2026-10-20</published-time></date></history><abstract>This study aims to explore how AI-generated feedback influences English majors&amp;rsquo; self-efficacy and to identify the psychological mechanisms through which such feedback shapes learners&amp;rsquo; confidence, learning behaviors, and emotional experiences. A qualitative research method was employed to investigate English majors&amp;rsquo; experiences and perceptions of AI-generated feedback. Semi-structured interviews were conducted with 12 English-major undergraduates, and the interview data were analyzed through thematic analysis. The results show that AI-generated feedback influences learners&amp;rsquo; self-efficacy through four interconnected pathways: cognitive, behavioral, emotional, and social. Cognitively, AI feedback enhances learners&amp;rsquo; perceptions of competence by confirming their abilities and helping them recognize learning progress. Behaviorally, immediate feedback strengthens learners&amp;rsquo; control over the learning process and promotes independent problem-solving. Emotionally, supportive and non-judgmental feedback can enhance confidence and motivation, whereas excessive or impersonal corrections may negatively affect self-efficacy. Socially, learners view AI-generated feedback and teacher feedback as complementary rather than competitive. The study suggests that a human-AI collaborative feedback model can better support English learning by combining the efficiency and immediacy of AI with teachers&amp;rsquo; emotional support, professional judgment, and personalized guidance. These findings provide practical implications for the effective integration of generative AI into English education and for promoting learners&amp;rsquo; self-efficacy and self-regulated learning.</abstract><keywords>Generative artificial intelligence (AI), AI-generated feedback, English majors, Self-efficacy, Human-AI collaboration</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Bandura A, 1977, Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2): 191&amp;ndash;215.
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