
students from different Hispanic speaking countries 
have had with the implementation of face-based 
authentication in the Open University of Madrid 
(UDIMA) within the Moodle platform. A 
questionnaire was produced for the development of 
the project in order to know the perceptions of the 
students.  
2 RELATED WORKS 
Lately, new information and communication 
technologies have merged with e-learning through 
the Moodle platform. The focus of our attention will 
be on the best renowned articles about the 
acceptance that facial authentication could have in 
different geographic regions on the platform 
Moodle
. 
Domínguez (2010) ran an article about Moodle 
platform in the world; regarding our territory, Spain 
is placed at second position throughout the world, 
before the United Kingdom and behind the USA. 
This analysis concludes that countries like Colombia 
or Dominican Republic are not amongst the top 10 
countries with registered Moodle sites. 
Rama (2010) analyzed the percentage of e-
learning enrollments compared to the other kinds of 
education. As it can be perceived in the article, e-
learning in higher education hardly reaches 10 
percent of the whole Colombia enrollment. With 
respect to the Dominican Republic, the e-learning 
modality represents 11 percent of the country 
institutions and 6.26% of the total amount of 
students in the country. Comparing these data to 
Spain’s, 15 percent of Spanish students study at the 
National Distance Education University (UNED), 
hence the fact that it is possible to assure that at least 
15 percent of students are distance learning students. 
Moreover, the real percentage will be higher due to 
there are new private universities having distance 
education programs in Spain (UDIMA, UOC, 
Universidad de Cantabria, etc.) but there are not 
enough data to estimate the percentage of population 
that study at these Spanish universities 
Besides et al., (2008) completed the investigation 
about the implementation of facial verification into 
Spanish education with a successful positive result. 
The goal they pursued was to guarantee that the 
students in line are who they say they are, and to 
know exactly the amount of time that they spend in 
front of the computer reading or realizing their 
virtual activities. In the same way of face-based 
authentication, Ullah et al., (2012) posed a facial 
authentication mechanism in order to ensure that the 
students are not impersonated to improve their 
marks in virtual tests. Lastly et al., (2011) presented 
a system to check that the students are really 
attending virtual classes through physical biometric 
characteristic (face features).
 
On the other side, there are numerous 
researchers that use the webcam of computers or 
laptops of the students in their methods to extract 
images of them, to subsequently proceed with using 
facial authentication as of those pictures. Along 
these lines, there are works as Pattanasethanon, 
Savithi (2012) or for instance, those from the 
researchers Grafsgaard et al., (2013) from the North 
Carolina State University. They developed an 
investigation about the software of recognition of 
facial expressions where the emotions of on-line 
students can be evaluated with accuracy and predict 
the effectiveness of the tutorial sessions through the 
video camera of their webcam. 
When comparing these analyses to ours, the main 
difference is that our research is focused on knowing 
the percentage rates that the development and the 
implementation of facial recognition in different 
Hispanic speaking countries. 
3 MOTIVATION 
Until now, the way of working of the students in 
distance education was not controlled considering 
that there were not any way to monitor in which 
situation they developed their activity. The use of 
this technology within education raises the 
possibility to verify that there are not frauds while 
students do their activities on the platform. 
The purpose of this investigation is focused on 
knowing the degree of valuation and usability that 
the implementation of face-based authentication in 
e-learning through the Moodle platform in different 
Hispanic speaking countries, like Spain, the 
Dominican Republic and Colombia has in university 
students. To put it in another way, it is expected to 
know the students opinions and attitudes from each 
country, comparing with the remaining ones and a 
scale with the degree of acceptance about which 
kind of activity (continuous assessment, learning 
activities, tests) is more valued for the 
implementation of the tool in distance education. 
The SMOLW tool was implemented as facial 
recognition software for the research development. It 
consisted of capturing photos of the student for his 
subsequent webcam verification. SMOWL was 
inserted when the student used to insert contents in 
glossaries and to do tests of the different lessons of 
the subject. 
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