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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