Automatized visualization methods for the qualitative analysis of teachers' collegial discussions
In this paper, we discuss a set of procedures for the visualization of conversation data, based on machine learning and text mining algorithms. The methodological function of these visualization methods is to support (rather than substitute) humanistic and interpretive qualitative data analysis. Th...
Main Authors: | Corrado Matta, Odd Tore Kaufmann, Andreas Ryve |
---|---|
Format: | Article |
Language: | English |
Published: |
Ludomedia
2022-09-01
|
Series: | New Trends in Qualitative Research |
Subjects: | |
Online Access: | https://publi.ludomedia.org/index.php/ntqr/article/view/530 |
Similar Items
-
Kvalitativa skillnader i lärares samtal om bedömning och elevers kunnande i naturvetenskap <br> Qualitative differences in teachers’ discussions about assessment and students’ science knowledge
by: Marlene Sjöberg, et al.
Published: (2018-01-01) -
Prologue
by: Mary-Ellen Freeley, et al.
Published: (2014-09-01) -
On collegial deliberation as a tool to counteract racism in education
by: Andreas Bergh, et al.
Published: (2022-11-01) -
LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators
by: Whanhee Cho, et al.
Published: (2022-11-01) -
Assembly Quality Detection Based on Class-Imbalanced Semi-Supervised Learning
by: Zichen Lu, et al.
Published: (2021-11-01)