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      <dc:title>Spanish language learning in the AI era: AI as a scaffolding tool</dc:title>
      <dc:creator>Huang, Shanshan</dc:creator>
      <dc:creator>Cassany, Daniel</dc:creator>
      <dc:subject>AI-assisted language learning</dc:subject>
      <dc:subject>Spanish as a second language (L2)</dc:subject>
      <dc:subject>AI-learner interaction</dc:subject>
      <dc:subject>ChatGPT</dc:subject>
      <dc:description>Data de publicació electrònica: 08-04-2025</dc:description>
      <dc:description>This study investigated how ten Chinese university students interacted with ChatGPT to facilitate their acquisition of Spanish as a second language. In a semi-informal educational setting, 370 ChatGPT prompts authored by the students and the AI-generated responses they yielded were collected over the course of one week. Secondary data sources included questionnaires and learning diaries. Findings revealed that students primarily sought assistance from ChatGPT with vocabulary acquisition, reading comprehension, and written expression, with fewer prompts focused on grammar or oral communication. The prompts showed significant variation in length, language preference, and pattern, though only a small portion involved more than a single prompt-response interaction. This trend suggests a largely task-oriented use of ChatGPT, with limited reflective engagement. This study points to the teacher ↔ AI ↔ learner relationship as a new dimension of interaction and offers practical recommendations for educators in AI-assisted language learning. Key suggestions include fostering students’ self-directed learning abilities and encouraging more reflective and systematic learning approaches.</dc:description>
      <dc:description>This research was funded by the doctoral scholarship from the first co-author (2024 FI-1-00688, Government of Catalonia), the competitive research project coordinated by the second co-author (OralGrab. Recording videos and audios for teaching-learning, PID2022-141511NB-100, Spanish Ministry of Science and Innovation), and the funds from GRAEL (Group for Language Learning and Teaching Research) (2021 SGR 471, AGAUR, Government of Catalonia, Spain).</dc:description>
      <dc:date>2025-09-09T21:41:54Z</dc:date>
      <dc:date>2025-09-09T21:41:54Z</dc:date>
      <dc:date>2025-09-08T07:12:49Z</dc:date>
      <dc:date>2025-09-08T07:12:49Z</dc:date>
      <dc:date>2025</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
      <dc:identifier>http://hdl.handle.net/10230/71134</dc:identifier>
      <dc:relation>Journal of China Computer-Assisted Language Learning. 2025 Apr 8</dc:relation>
      <dc:relation>info:eu-repo/grantAgreement/ES/3PE/PID2022-141511NB-100</dc:relation>
      <dc:rights>© 2025 the author(s), published by De Gruyter and FLTRP on behalf of BFSU. This work is licensed under the Creative Commons Attribution 4.0 International License.</dc:rights>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:publisher>De Gruyter</dc:publisher>
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