Zobrazeno 1 - 10
of 81
pro vyhledávání: '"John Saint"'
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 3, Iss , Pp 100060- (2022)
We present a systematic literature review of data-driven self-regulated learning (SRL) that emphasises the methodological importance of temporality and sequence, as opposed to conventional statistical analysis. Researchers seem unanimous in their vie
Externí odkaz:
https://doaj.org/article/90e6da66cefc4266b7ce1524b4bc51f1
Autor:
Stoica, George, John, Saint
Publikováno v:
The American Mathematical Monthly, 2019 Jan 01. 126(1), 82-82.
Externí odkaz:
https://www.jstor.org/stable/48661367
Autor:
Stoica, George, John, Saint
Publikováno v:
The American Mathematical Monthly, 2018 Nov 01. 125(9), 852-852.
Externí odkaz:
https://www.jstor.org/stable/48662303
Publikováno v:
Journal of Qualitative Criminal Justice & Criminology.
Refereed/Peer-reviewed We present a systematic literature review of data-driven self-regulated learning (SRL) that emphasises the methodological importance of temporality and sequence, as opposed to conventional statistical analysis. Researchers seem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::866843abad7ac0140763363eb211f69a
https://hdl.handle.net/11541.2/31439
https://hdl.handle.net/11541.2/31439
Publikováno v:
LAK
LAK21: 11th International Learning Analytics and Knowledge Conference, 333-343. [S.l.] : Association for Computing Machinery (ACM)
STARTPAGE=333;ENDPAGE=343;TITLE=LAK21: 11th International Learning Analytics and Knowledge Conference
LAK21: 11th International Learning Analytics and Knowledge Conference, pp. 333-343
LAK21: 11th International Learning Analytics and Knowledge Conference, 333-343. [S.l.] : Association for Computing Machinery (ACM)
STARTPAGE=333;ENDPAGE=343;TITLE=LAK21: 11th International Learning Analytics and Knowledge Conference
LAK21: 11th International Learning Analytics and Knowledge Conference, pp. 333-343
Item does not contain fulltext The conceptualisation of self-regulated learning (SRL) as a process that unfolds over time has influenced the way in which researchers approach analysis. This gave rise to the use of process mining in contemporary SRL r
Publikováno v:
LAK21: 11th International Learning Analytics and Knowledge Conference, pp. 184-195
LAK
LAK21: 11th International Learning Analytics and Knowledge Conference, 184-195. [S.l.] : Association for Computing Machinery (ACM)
STARTPAGE=184;ENDPAGE=195;TITLE=LAK21: 11th International Learning Analytics and Knowledge Conference
LAK
LAK21: 11th International Learning Analytics and Knowledge Conference, 184-195. [S.l.] : Association for Computing Machinery (ACM)
STARTPAGE=184;ENDPAGE=195;TITLE=LAK21: 11th International Learning Analytics and Knowledge Conference
Item does not contain fulltext Investigation of learning tactics and strategies has received increasing attention by the Learning Analytics (LA) community. While previous research efforts have made notable contributions towards identifying and unders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4196694fa8587a195214f2e798e755fe
https://repository.ubn.ru.nl/handle/2066/240567
https://repository.ubn.ru.nl/handle/2066/240567
Publikováno v:
LAK
The temporal and sequential nature of learning is receiving increasing focus in Learning Analytics circles. The desire to embed studies in recognised theories of self-regulated learning (SRL) has led researchers to conceptualise learning as a process
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b865ebf5b86381539bce90818be80a8
https://hdl.handle.net/11541.2/145590
https://hdl.handle.net/11541.2/145590
Publikováno v:
Computers & Education. 178:104404