Towards Understanding Online Question & Answer Interactions and their effects on student performance in large-scale STEM classes
Abstract Online question & answer (Q & A) is a distinctive type of online interaction that is impactful on student learning. Prior studies on online interaction in large-scale classes mainly focused on online discussion and were conducted mainly in non-STEM fields. This research aims to quan...
Main Authors: | David H Smith IV, Qiang Hao, Vanessa Dennen, Michail Tsikerdekis, Bradly Barnes, Lilu Martin, Nathan Tresham |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-06-01
|
Series: | International Journal of Educational Technology in Higher Education |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s41239-020-00200-7 |
Similar Items
-
Analyzing User Participation Across Different Answering Ranges in an Online Learning Community
Published: (2015) -
Arabic Question Answering Systems: Gap Analysis
by: Mariam M. Biltawi, et al.
Published: (2021-01-01) -
Answer Category-Aware Answer Selection for Question Answering
by: Weijing Wu, et al.
Published: (2021-01-01) -
Automated question answering : template-based approach
by: Sneiders, Eriks
Published: (2002) -
Yahoo! Answers as a Space for Informal Language Learning
by: Giuliana Dettori, et al.
Published: (2014-10-01)