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Effect of facial expressions on student’s comprehension recognition in virtual educational environments

Overview of attention for article published in SpringerPlus, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
twitter
5 X users
googleplus
1 Google+ user

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
124 Mendeley
Title
Effect of facial expressions on student’s comprehension recognition in virtual educational environments
Published in
SpringerPlus, September 2013
DOI 10.1186/2193-1801-2-455
Pubmed ID
Authors

Mohamed Sathik, Sofia G Jonathan

Abstract

The scope of this research is to examine whether facial expression of the students is a tool for the lecturer to interpret comprehension level of students in virtual classroom and also to identify the impact of facial expressions during lecture and the level of comprehension shown by these expressions. Our goal is to identify physical behaviours of the face that are linked to emotional states, and then to identify how these emotional states are linked to student's comprehension. In this work, the effectiveness of a student's facial expressions in non-verbal communication in a virtual pedagogical environment was investigated first. Next, the specific elements of learner's behaviour for the different emotional states and the relevant facial expressions signaled by the action units were interpreted. Finally, it focused on finding the impact of the relevant facial expression on the student's comprehension. Experimentation was done through survey, which involves quantitative observations of the lecturers in the classroom in which the behaviours of students were recorded and statistically analyzed. The result shows that facial expression is the most frequently used nonverbal communication mode by the students in the virtual classroom and facial expressions of the students are significantly correlated to their emotions which helps to recognize their comprehension towards the lecture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 123 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 12%
Student > Master 13 10%
Student > Bachelor 12 10%
Researcher 9 7%
Student > Postgraduate 7 6%
Other 17 14%
Unknown 51 41%
Readers by discipline Count As %
Computer Science 34 27%
Engineering 7 6%
Psychology 5 4%
Linguistics 4 3%
Chemistry 3 2%
Other 19 15%
Unknown 52 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2021.
All research outputs
#1,933,839
of 24,133,587 outputs
Outputs from SpringerPlus
#107
of 1,858 outputs
Outputs of similar age
#17,110
of 203,105 outputs
Outputs of similar age from SpringerPlus
#5
of 106 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 203,105 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.