45 |
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
|
|
|
|
BASE
|
|
Show details
|
|
46 |
How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review ...
|
|
|
|
BASE
|
|
Show details
|
|
47 |
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
|
|
|
|
BASE
|
|
Show details
|
|
48 |
How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review ...
|
|
|
|
BASE
|
|
Show details
|
|
49 |
How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review ...
|
|
|
|
BASE
|
|
Show details
|
|
51 |
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
|
|
|
|
BASE
|
|
Show details
|
|
52 |
How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review ...
|
|
|
|
BASE
|
|
Show details
|
|
54 |
Detecting Geospatial Location Descriptions in Natural Language Text ...
|
|
|
|
BASE
|
|
Show details
|
|
55 |
Detecting Geospatial Location Descriptions in Natural Language Text ...
|
|
|
|
BASE
|
|
Show details
|
|
56 |
Mechanisms Underlying Values Affirmation Interventions: Data and Analysis Files ...
|
|
|
|
Abstract:
These files contain the anonymized data and analysis files used to create the tables found in the manuscript entitled “It’s not That you said it, it’s How you said it: Exploring the Linguistic Mechanisms Underlying Values Affirmation Interventions at Scale”. The abstract for the paper is found below: Over the last decade, psychological interventions, such as the values affirmation intervention, have been shown to alleviate the male-female performance difference when delivered in the classroom, however, attempts to scale the intervention are less successful. This study provides unique evidence on this issue by reporting the observed differences between two randomized controlled implementations of the values affirmation intervention, i) successful in-class and, ii) unsuccessful online implementation at scale. Specifically, we use natural language processing to explore the discourse features that characterize successful female students’ values affirmation essays to gain insight on the underlying mechanisms that ...
|
|
Keyword:
Educational Data Science; Gender Differences in STEM; Natural Language Processing; Values Affirmation Intervention
|
|
URL: https://dx.doi.org/10.3886/e135921 https://www.openicpsr.org/openicpsr/project/135921/view
|
|
BASE
|
|
Hide details
|
|
57 |
Text Semantics Capture Political and Economic Narratives ...
|
|
|
|
BASE
|
|
Show details
|
|
58 |
Mechanisms Underlying Values Affirmation Interventions: Data and Analysis Files ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|