{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T14:36:49Z","timestamp":1784731009102,"version":"3.55.0"},"reference-count":0,"publisher":"Society for Learning Analytics Research","issue":"1","license":[{"start":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T00:00:00Z","timestamp":1773532800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Learning Analytics"],"abstract":"<jats:p>Generative AI (GAI) is increasingly integrated into education, particularly through chatbots that support students without direct human intervention. While these tools show promise as personalized learning companions, concerns persist about their potential to foster overreliance, limit creativity, and hinder the development of critical thinking. These risks highlight the need to strengthen students\u2019 metacognitive skills and promote structured self-reflection. This paper presents the design and iterative development of a GAI-based chatbot aimed at scaffolding self-regulated learning. Through three design cycles involving 276 students in 10 courses, the chatbot evolved from a static assistant into a dynamic, course-integrated tool capable of supporting personalized, Socratic-style dialogue. Thematic analysis of diverse qualitative data sources revealed that students seek scaffolded support, such as human tutoring, and require explicit guidance to engage meaningfully with AI. Findings emphasize the importance of dialogic competence, personalization, and educator involvement in shaping effective AI-mediated reflection. This study underscores the need for pedagogically grounded AI tools that position chatbots as collaborative agents, complementing rather than replacing the roles of teachers and learners. It advocates for reflective teaching practices that clearly define the responsibilities of students, educators, and AI systems to ensure that GAI enhances deep learning and independent thought.<\/jats:p>","DOI":"10.18608\/jla.2026.9143","type":"journal-article","created":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T21:28:19Z","timestamp":1773610099000},"page":"74-88","source":"Crossref","is-referenced-by-count":1,"title":["A GAI-Based Chatbot for Scaffolding Self-Regulated Learning"],"prefix":"10.18608","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5270-7655","authenticated-orcid":false,"given":"Isabel","family":"Hilliger","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9854-9963","authenticated-orcid":false,"given":"Mar","family":"P\u00e9rez-Sanagust\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3154-0777","authenticated-orcid":false,"given":"Carlos","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6026-3756","authenticated-orcid":false,"given":"Esteban","family":"Villalobos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0502-5608","authenticated-orcid":false,"given":"Sergio","family":"Celis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7859","published-online":{"date-parts":[[2026,3,15]]},"container-title":["Journal of Learning Analytics"],"original-title":[],"link":[{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/download\/9143\/7959","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/download\/9143\/7959","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T22:51:29Z","timestamp":1774911089000},"score":1,"resource":{"primary":{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/view\/9143"}},"subtitle":["Insights from a Design-Based Research Approach"],"short-title":[],"issued":{"date-parts":[[2026,3,15]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,3,30]]}},"URL":"https:\/\/doi.org\/10.18608\/jla.2026.9143","relation":{},"ISSN":["1929-7750"],"issn-type":[{"value":"1929-7750","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,15]]}}}