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        <datestamp>2026-09-17T04:28:24Z</datestamp>
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          <dc:title>Supplementary file 2_From technology anxiety to technology symbiosis: a grounded theory study of mid-career foreign language teachers’ subjectivity evolution in the AI era.docx</dc:title>
          <dc:creator>Zhenhua Zhao (739747)</dc:creator>
          <dc:creator>Dengbin Xie (25001524)</dc:creator>
          <dc:subject>Applied Psychology</dc:subject>
          <dc:subject>foreign language teachers</dc:subject>
          <dc:subject>grounded theory</dc:subject>
          <dc:subject>mid-career teachers</dc:subject>
          <dc:subject>technology anxiety</dc:subject>
          <dc:subject>technology symbiosis</dc:subject>
          <dc:description>&lt;p&gt;The integration of generative AI into foreign language education has profoundly challenged teacher professional identity, particularly for mid-career educators navigating the dual burden of experiential wisdom and technological change. This study employed grounded theory to investigate how 10 mid-career foreign language teachers transition from technology anxiety to symbiosis. Through in-depth interviews and systematic coding, we developed a theoretical model comprising four anxiety types (substitution, autonomy, generational, ethical), three adaptive stages (exploration adjustment, strategy integration, autonomous symbiosis), and the double-edged effects of experiential wisdom as the core mediating mechanism. Findings reveal that experiential wisdom can function as either an evolutionary resource (critical scrutiny, pedagogical design, humanistic commitment) or a barrier (thinking set inertia) depending on its activation mode, with support systems moderating this process. The study reveals the existential dimensions of technology anxiety and offers stage-sensitive implications for supporting mid-career teachers’ professional growth in the AI era.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-17T04:28:24Z</dc:date>
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          <dc:identifier>10.3389/fpsyg.2026.1914637.s001</dc:identifier>
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