Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Brendan R. Eagan"'
Publikováno v:
Ergonomics. 65(10)
Studying interactions faces methodological challenges and existing methods, such as configural diagramming, have limitations. This work demonstrates Epistemic Network Analysis (ENA) as an analytical method to construct configural diagrams. We demonst
Autor:
Kaleb Germinaro, Kristina L. McDonald, Brendan R. Eagan, Karin S. Frey, Adaurennaya C. Onyewuenyi
Publikováno v:
Journal of Youth and Adolescence. 50:521-535
Bystander intervention on behalf of victims of peer aggression is credited with reducing victimization, yet little is known about how bystanders evaluate their intervention efforts. African-, European-, Mexican-, and Native-American adolescents (N =
Autor:
Zoe Higheagle Strong, Karin S. Frey, Brendan R. Eagan, Cynthia R. Pearson, Adaurennaya C. Onyewuenyi
Publikováno v:
Journal of Research on Adolescence. 30:633-650
African American, European American, Mexican American, and Native American adolescents (N = 270) described how they felt and appraised their own actions in response to a peer's victimization. Analyses compared times they had calmed victim emotions, a
Publikováno v:
Journal of Science Education and Technology. 28:553-566
According to the National Research Council, the ability to collaboratively solve problems is of the utmost importance in scientific careers, yet students are not exposed to learning experiences that promote such expertise. Recent studies have found t
Publikováno v:
Computers in Human Behavior. 92:562-577
In this paper, we propose a novel approach to the analysis of collaborative learning. The approach posits that different dimensions of collaborative learning emerging from social ties and content analysis of discourse can be modeled as networks. As s
Publikováno v:
iLRN
Simulations are widely adopted in undergraduate nursing education because they offer low-risk, experiential ways to expose pre-licensure students to clinical environments, and to situate the development of requisite knowledge and skills for patient c
Autor:
Zhiqiang Cai, David Williamson Shaffer, Jeff Linderoth, Dale Bowman, Yeyu Wang, Brendan R. Eagan, Zachari Swiecki
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030677879
ICQE
ICQE
Epistemic network analysis (ENA) has been used in more than 300 published studies to date. However, there is no work in publication that describes the transformations that constitute ENA in formal mathematical terms. This paper provides such a descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aca32f5c6145dcf8b8f503e663c9309f
https://doi.org/10.1007/978-3-030-67788-6_7
https://doi.org/10.1007/978-3-030-67788-6_7
Autor:
Amanda Siebert-Evenstone, Jais Brohinsky, A. R. Ruis, Brendan R. Eagan, Ariel Fogel, Cody L Marquart, David Williamson Shaffer, Zhiqiang Cai, Zachari Swiecki, Yeyu Wang
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030677879
ICQE
ICQE
Quantitative ethnographers across a range of domains study complex collaborative thinking (CCT): the processes by which members of a group or team develop shared understanding by making cognitive connections from the statements and actions of the gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db47bb15226f5ed6f6b15b6ce8a490b
https://doi.org/10.1007/978-3-030-67788-6_9
https://doi.org/10.1007/978-3-030-67788-6_9
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030677879
ICQE
ICQE
Certain educational contexts like lifelong learning have been comparatively understudied, due to the uniqueness of such learning processes, which make it difficult to ascertain generalizable models or average intervention effects. The ability to coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f606a3e8bdd515e439a884ca4965556
https://doi.org/10.1007/978-3-030-67788-6_14
https://doi.org/10.1007/978-3-030-67788-6_14
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030677879
ICQE
ICQE
When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::568f3025417fdf028c71672466a47c81
https://doi.org/10.1007/978-3-030-67788-6_2
https://doi.org/10.1007/978-3-030-67788-6_2