{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:35:18Z","timestamp":1753886118917,"version":"3.41.2"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["eLearn"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:p>Student groups coexist on individual and team levels toward learning symmetry within two zones: the zone of proximal development (ZPD) for new knowledge co-construction and the zone of proximal flow (ZPF), which occurs once a balance between the learner's skill and challenge of the task emerges. Thus, each group functions within the ZPF, especially for K-12 students engaging in social behavior and collaborative learning activities. eLearning must support the dual persona of learners as users engage and remain within the ZPF via diverse pedagogical methodologies and tools, such as multimodal learning analytics, to support and enrich students' learning curves in self-organized as well as collaborative eLearning.<\/jats:p>","DOI":"10.1145\/3704960.3649317","type":"journal-article","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T23:21:21Z","timestamp":1732058481000},"update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Zone of Proximal Flow in K-12 Creative Collaborative eLearning: A synthesis of the zone of proximal development and creative flow"],"prefix":"10.1145","volume":"2024","author":[{"given":"Niki","family":"Lambropoulos","sequence":"first","affiliation":[{"name":"University of Patras"}]}],"member":"320","published-online":{"date-parts":[[2024,11,19]]},"container-title":["eLearn"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3704960.3649317","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:01Z","timestamp":1750295881000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3704960.3649317"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":0,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["10.1145\/3704960.3649317"],"URL":"https:\/\/doi.org\/10.1145\/3704960.3649317","relation":{},"ISSN":["1535-394X"],"issn-type":[{"type":"electronic","value":"1535-394X"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"2024-11-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3704960.3649317"}}