{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T13:58:52Z","timestamp":1780581532903,"version":"3.54.1"},"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>It is widely recognized that higher education (HE) graduates require a broad range of professional skills and abilities to succeed in their future careers. However, despite this acknowledgement, assessment practices in HE remain focused on content-based knowledge. This narrow emphasis limits the capacity to effectively and holistically evaluate a student\u2019s professional competency and readiness for employment. This issue is particularly acute for HE degrees that require graduates to demonstrate attainment of externally regulated professional standards. While the curricula are mapped to professional standards for accreditation purposes, demonstrating a student\u2019s attainment of these standards is not straightforward and has mostly been done through self-reported surveys. This study offers a novel curriculum analytics method for mapping assessment grades to the attainment of professional standards across a Teacher Education program. Specifically, we present an approach that uses psychometric modelling and learning analytics to identify distinct patterns in learners\u2019 acquisition of professional standards. This method does not alter current assessment practices in HE. Instead, the approach offers a scalable, automated means to infer a learner\u2019s attainment of documented professional standards, complementing current measures of academic success, such as GPA. The study underscores the advantages of complementing the current HE assessment practises with an outlined curriculum analytics approach, providing a holistic representation of a student\u2019s learning progress.<\/jats:p>","DOI":"10.18608\/jla.2026.9035","type":"journal-article","created":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T23:27:03Z","timestamp":1773617223000},"page":"42-56","source":"Crossref","is-referenced-by-count":1,"title":["Assessing Patterns of Students\u2019 Attainment of Professional Standards in Higher Education"],"prefix":"10.18608","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2437-6892","authenticated-orcid":false,"given":"Abhinava","family":"Barthakur","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1904-0446","authenticated-orcid":false,"given":"Jelena","family":"Jovanovi\u0107","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3051-3232","authenticated-orcid":false,"given":"Ryan","family":"Baker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9694-6033","authenticated-orcid":false,"given":"Vitomir","family":"Kovanovi\u0107","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2860-2073","authenticated-orcid":false,"given":"Christopher C.","family":"Deneen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2435-2193","authenticated-orcid":false,"given":"Shane","family":"Dawson","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\/9035\/7961","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/download\/9035\/7961","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T22:51:32Z","timestamp":1774911092000},"score":1,"resource":{"primary":{"URL":"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/view\/9035"}},"subtitle":[],"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.2026.9035","relation":{},"ISSN":["1929-7750"],"issn-type":[{"value":"1929-7750","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,15]]}}}