{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T23:48:27Z","timestamp":1774914507220,"version":"3.50.1"},"reference-count":0,"publisher":"Society for Learning Analytics Research","issue":"1","license":[{"start":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T00:00:00Z","timestamp":1774137600000},"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>This study analyzed data from prototyping sessions to support learners\u2019 engagement in collaborative problem-solving through design-mode thinking. Knowledge creation (KC) is essential for addressing 21st-century complex problems, yet learners struggle to share incomplete ideas due to unfamiliarity with design-mode thinking. Although prototyping is known to be effective for sharing and improving incomplete ideas in the business sector, few studies analyze design activities during prototyping from a KC perspective across different design disciplines. This study examined three teams (engineering, product design, service design) during 30-minute prototyping sessions. Using a novel combination of techniques\u2014temporal socio-semantic network analysis (tSSNA) and ordered network analysis (ONA)\u2014we analyzed teams\u2019 shared epistemic agency, segmenting activities into three phases based on idea improvement patterns. Engineers focused on generative collaborative actions, product designers emphasized creating shared understanding, and service designers concentrated on alleviating lack of knowledge. Statistical tests revealed significant differences between teams and phases. The findings suggest three design principles for KC practice: attending to disciplinary differences in interdisciplinary teams, providing timely educator support for concept creation, and using short task durations to encourage sharing incomplete ideas. Furthermore, this work demonstrates the potential of combining tSSNA and ONA for analyzing collaborative KC processes.<\/jats:p>","DOI":"10.18608\/jla.2026.8959","type":"journal-article","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T06:07:05Z","timestamp":1774246025000},"page":"190-207","source":"Crossref","is-referenced-by-count":0,"title":["Temporal Network Analysis of Collaborative Prototyping from a Knowledge Creation Perspective"],"prefix":"10.18608","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5072-0135","authenticated-orcid":false,"given":"Ayano","family":"Ohsaki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5154-9667","authenticated-orcid":false,"given":"Yuanru","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9189-1747","authenticated-orcid":false,"given":"Brendan","family":"Eagan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9613-5740","authenticated-orcid":false,"given":"David Williamson","family":"Shaffer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7414-5507","authenticated-orcid":false,"given":"Zachari","family":"Swiecki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7859","published-online":{"date-parts":[[2026,3,22]]},"container-title":["Journal of Learning Analytics"],"original-title":[],"link":[{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/download\/8959\/7967","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/download\/8959\/7967","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T23:07:17Z","timestamp":1774912037000},"score":1,"resource":{"primary":{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/view\/8959"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,22]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,3,30]]}},"URL":"https:\/\/doi.org\/10.18608\/jla.2026.8959","relation":{},"ISSN":["1929-7750"],"issn-type":[{"value":"1929-7750","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,22]]}}}