Next Article in Journal
Discourse on Entrepreneurial Orientation in Hidalgo State, Mexico
Previous Article in Journal
The Impacts of Fishermen’s Resilience towards Climate Change on Their Well-Being
Previous Article in Special Issue
Effects of Online Problem-Based Learning to Increase Global Competencies for First-Year Undergraduate Students Majoring in Science and Engineering in Japan
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of COVID-19 on the Perception of Virtual Education in University Students in Ecuador; Technical and Methodological Principles at the Universidad Técnica Particular de Loja

by
Juan Carlos Torres-Díaz
1,
Diana Rivera-Rogel
2,*,
Ana María Beltrán-Flandoli
2 and
Lucy Andrade-Vargas
2
1
Faculty of Engineering and Architecture, Universidad Técnica Particular de Loja, Loja 1101608, Ecuador
2
Faculty of Social Sciences, Education and Humanities, Universidad Técnica Particular de Loja, Loja 1101608, Ecuador
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(6), 3204; https://doi.org/10.3390/su14063204
Submission received: 31 January 2022 / Revised: 23 February 2022 / Accepted: 25 February 2022 / Published: 9 March 2022

Abstract

:
The confinement and migration from face-to-face to open access, online or blended/hybrid education modality caused because of the coronavirus crisis has forced a readaptation of education with enormous deficiencies at all levels. This work analyzes the viewpoint of a group of students from the Universidad Técnica Particular de Loja (Ecuador) regarding the current state of emergency from a descriptive and correlational quantitative methodological conception, based on the application of an instrument made up of six thematic blocks: socio-demographic situation, use of ICT, importance of ICT, methodology, didactic techniques, and study modality. The main results show that students are not yet convinced that a virtual modality is better than face-to-face. However, there are groups that value positively the use of ICTs mainly for recalling information, self-learning, and motivation. The techniques most valued by students are the traditional ones: teacher explanation and individual work. However, they give a low value to individualization as a methodological principle under which these techniques are based.

1. Introduction

The COVID-19 pandemic has caused an unprecedented crisis in all areas. Since its onset, more than 1.5 billion students worldwide have been affected by the closure of institutions and the educational changes they had to face [1] as they moved in a short transition period from face-to-face to online or blended/hybrid education. Academic institutions focused on face-to-face education models had to face several challenges in this transition, among others, adjusting a fully online model that responds to careers in the area of engineering that are traditionally developed in face-to-face environments [2].
Recent research shows some effects of this scenario. Abreu [3], Camacho et al. [4], and Rogero-García [5] highlight the digital divide, an unprepared teaching staff for this new normality, and the increase in inequalities in learning. To this must be added the differences in resources, materials, and technological infrastructure of families, which negatively affect the educational development of students [6,7], manifestations of inequity and social exclusion [8,9].
However, not everything is negative; virtuality has allowed innovation and the search for ways to reach students. The studies by Cleland et al. [10] and Zapatería [11] agree in stating that university education, faced with this crisis, has been able to put into practice and develop various alternatives for adapting to the new online training requirements. In addition, this modality offers a flexible teaching model [12].
Likewise, virtual education is not new. In the United States, almost all states offer some type of online training [13], distance and virtual education is growing exponentially in Latin America [14], and in the United Kingdom, there are fully virtual schools with fully defined organizational structures [15]. Since the 1990s, particular models and methods have been established to ensure the quality of virtual education [16].
However, despite the previous experience that certain countries had, the pandemic has brought great challenges to those who are part of this process. Both students and teachers must develop digital knowledge and skills, responsibilities, ethical practices, and a high level of criticality to take advantage of the potential of online learning [17] to, therefore, deepen the models, methodologies, strategies, resources, and tools that promote the management of teaching and learning.
With this background, this research seeks to know the effects of the COVID-19 pandemic on virtual university education in Ecuador, based on the perceptions of students in the areas of Engineering, Communication, and Education at the Universidad Técnica Particular de Loja. The starting hypothesis is to verify if there is a statistically significant relationship between the importance and valuation of ICT, methodology, and didactic techniques implemented in this modality of studies.

1.1. The Role of ICT in Today’s Educational Process

During the last decade, online education has become a viable model in higher education in all fields and areas, such as social, technical, biological, and administrative, at undergraduate and graduate levels [18]. However, the training in engineering careers in this modality is still a challenge, although some of the experiences show that a pedagogical proposal supported with an adequate use of technological platforms enabled a satisfactory trajectory of the virtual teaching–learning process in engineering career subjects in times of isolation [19].
Authors such as Van de Heyde and Siebrits [20] and Área Moreira et al. [21] describe some characteristics of the implementation of TEL (Technology-Enhanced Learning) in educational institutions as important, among them the ‘reusability’ that generates this type of transformation, the universality of the process, its capacity for expansion and openness, its aptitude for formalization, and the verified usefulness.
What is demonstrated in these contributions is the susceptibility to change in the educational methodological approach, with the use of the Internet and its digital tools and virtual connection, which as a vehicle for training and participation allows making technological knowledge visible, increasing this knowledge, providing the necessary infrastructure, and creating a specific culture [22].
From a holistic view, the proposal of an interdisciplinary approach in TEL research suggests several ad hoc benefits because it implies effective collaboration between interdisciplinary teams, education, pedagogy, computer science, design, and media technology [23,24], which consequently allow the application of methodological principles of participation, individualization, interrelation, motivation, and applicability in education in virtual classrooms.
In addition to sharing specific knowledge, there is the possibility that experts and professionals in training in the broad field of engineering, directly related to the operation of Information and Communication Technologies, can meet the training and educational production needs of other branches of knowledge such as education and communication, generating an option to incorporate TEL practices that are pedagogically sound.

1.2. Virtuality. Different Perceptions of the Actors of the Higher Education System

Research on learning enhanced by the development of Information and Communication Technologies (ICT) suggests the handling of broad and diverse concepts: infrastructure, systematic processes, human–digital perspective, and the perceived usefulness or possibility of use and consumption of these enriched environments [25]. Their perceived benefit and performance are always described in the context in which they are implemented [26,27]. In terms of a sectional view, from the field of knowledge in which the experiences are recorded, especially since the imminent transformation of education to the virtual format, the changing technological adoption is also susceptible to comparisons rather than irreconcilable differences.
Downie et al. [28] point out that it is important to consider that models of technology application to support learning always suggest implicit improvement [29]. However, the ways of perceiving that ‘improvement’ in the educational dynamics are crucially different among the users of the educational system. The usefulness perceived by students is linked more to evaluative purposes. Teachers, on the other hand, visualize TEL in higher education linked to the development of their digital skills, specifically in didactic techniques that support classroom teaching [30]. In other words, teachers should be trained in alternative methods to overcome the loss of physical interaction [9] and respond to the demands of the current moment [31], strengthening teaching and learning strategies for the effectiveness of virtuality through forums, explanations, small group work, individual work, exhibitions, debates, tasks and projects, simulations, and action models, etc. [32].
In addition, several studies show that among the main positive points of the virtual modality, in times of pandemic, pointed out by students are having classes at home, a new way of distributing time to mix production, study or entertainment activities, use of mobile devices with access to multimedia teaching materials, information anywhere and anytime, interaction with peers and experts, learning from various sources, and incorporation of new technological tools that enable different modalities and dynamics of class [19]. Likewise, according to teachers, the forced migration to virtual learning environments had the access to classes as a positive aspect; however, they also express their distrust in relation to the effectiveness of student learning. Therefore, an online teaching and learning system in the long term requires training and confidence of teachers in the model for better performance [33].
On the other hand, the negative assessment of virtual teaching by some experts is explained by the inverse relationship perceived between dedication to study and academic performance, and mainly by the lack of adaptation of teachers to this new system [34,35].

1.3. Methodological Principles and Didactic Techniques to Complement Virtuality

It is important to highlight that the possibilities of ICT in education from the perspective of Díaz Barriga [36] are based on the following aspects: creation of learning environments for interaction and interrelation between students and teachers, for the development of cognitive and socio-affective skills in interaction with others through group work and in complex learning situations that facilitate the transfer of knowledge, to motivate learning, and modify new attitudes. In this same line, and from a constructivist approach, cognitive development with technological mediation occurs within a system of activities or strategies supported by digital and technological resources that constitute cultural tools for learning [37], favoring practices and facilitating the best presentation of contents, transfer of knowledge, access to information, and clarification of concepts, among others [38].
It is worth mentioning that the implementation of technology-mediated education and TEL is worth learning as it provides new opportunities for university students. In addition, the growing access to the Internet, mobile devices, and social networks has revolutionized communication processes and has democratized access to information and the creation of content for education [39]; however, the incorporation of new technological resources does not ensure the success of the educational process without didactic planning of the actions to be developed and the way in which these new resources are configured and used [40].
In this perspective, the new social, economic, and environmental scenarios brought by the pandemic demand paradigm shifts in terms of the education of people, requiring critical, creative, reflective entities with a high spirit of teamwork to be integrated into a society that is constantly changing and dynamic. In this context, educational trends in virtual education are moving toward new pedagogical models and methodological principles that seek to articulate participation, individualization, applicability, interrelation, previous knowledge, cooperation, motivation for reflection, and decision making oriented toward intellectual, social, personal, and human growth in relation to the society [41].
So far, innovations have been evidenced in the use and execution of visual multimedia and its platforms [42], the occupation of virtual reality spaces [43], and the adoption of immersive images and interactive support elements [44] to promote self-assessment tools and educational guidance. All this, from the conception of these elements as advanced spaces and tools, and with the vision of users of professionals in training in these areas [45], attached to the demanding learning environments of the 21st century.
Related to this perspective, works such as those of Martínez-Arias and Parra-Valcarce [46], Tomé-Fernández et al. [47], Expósito et al. [48], and Hodges et al. [49] show the role in e-learning teaching in higher education, to enrich the capacity and skills of use of different digital media systems, taking advantage of their multimedia, hypertext, and interactivity characteristics, which, as a further aim, should provide key notions to effectively solve complex problems in the field of ICT.
Regarding the incidence of gender in the use of technology, the differences between men and women tend to disappear; the lines that, with the appearance of technology in the educational process, were visible, tend to blur as shown by the research of Torres-Diaz et al. [50] in a study with 16,546 surveys of university students in Ecuador.
With the panorama of a constant and disruptive acceleration in technological educational models, Al-Ataby [51] recommends a critical approach when addressing the implications of virtual educational practices and their impact, marked by the dissimilarity caused by the demographic and access gap [52,53]. However, these distinctions are those that can offer strengths not only through the combination between online learning and face-to-face environments but from the amalgamation of other didactic techniques specific to the specialties in Engineering, Communication, and Education which can offer solutions consistent with the needs of current higher education.
Linked to this last point, not little has been achieved in terms of instructional design, which has been fostered by disruptive innovation in technology and the interdisciplinary approach [54], based on the connotation of fostering dialogue and communication among the users of these virtual systems [55,56]. Some examples of the usefulness of this scenario are cultural tools, adaptive intelligent tutoring systems, avatars, embodied interaction, augmented cognition, personal learning environments, virtual objects, online communities, adaptive support, simulation, and collaborative technology, which ultimately ensure learning in virtual platforms when applied as didactic techniques in the classroom [57].

2. Materials and Methods

It is a quantitative, field, cross-sectional, exploratory, descriptive, and correlational study [58].
This research seeks to know the effects of the COVID-19 pandemic on virtual university education in Ecuador, based on the perceptions of students in the areas of Engineering, Communication, and Education at the Universidad Técnica Particular de Loja. The starting hypothesis is to verify if there is a significant statistical relationship between the importance and valuation of ICT, methodology, and didactic techniques used by university students.

2.1. Population and Sample

Information was collected from a group of 268 students of Communication, Education, and Engineering of the Universidad Técnica Particular de Loja during the study period October 2021 to February 2022. The students were randomly selected with a gender distribution of 48.5% women and 51.5% men. In this section, it is necessary to consider that the number of students sampled does not allow us to generalize the results; however, it presents an overview of the institutional reality and, on that basis, outline possible scenarios to expand the research.

2.2. Instrument and Procedure

In this case, the sample survey technique was used in the form of a self-administered questionnaire, which guaranteed the anonymity and confidentiality of the participants. The questionnaire of Fandos Garrido [59] was used, which consisted of 6 parts: identification data, classroom-virtual training, design of the course or training module, course development, attitude and skills developed in the course, and evaluation of the training received.
However, due to the objective and context of the study, the questionnaire was adapted by selecting 14 questions related to the sociodemographic situation, use and importance of ICT, methodology, didactic techniques, and study modality (Table 1). It was distributed to the participants through the Google Forms platform.
Question division.
Students were categorized according to the valuation assigned to variables: based on the valuation of subjects, based on the valuation of ICT, based on the importance of methodological principles, and based on the importance of didactic techniques. The k-means method was used for this purpose.
The classification of students based on the assessment of ICT was carried out in two stages. In stage one, the principal components method was applied to a set of 11 variables. This procedure generated three components as a result: advantages of ICT, ICT results, and ease of teamwork. These three components explain 90.8% of the variance of the data and were taken as variables to perform a subsequent cluster analysis. For the cluster analysis process, the k-means method was used.
Chi square was used to determine the relationships between age, sex, and perception of technology classification. A multinomial logistic regression was used for the relationship between the variables, the levels of the relationship between the methodological principles and the classification of the perceptions regarding technology. The independent variable was the classification of perceptions regarding the technology, which has three categories: positive results, low valuation, and high rating. The dependent variable was the classification based on the evaluation of the methodological principles which has three categories: low, medium, and high assessment.

3. Results

A total of 268 surveys were conducted among students of the Universidad Técnica Particular de Loja. A total of 48.5% were women and the remaining 51.5% were men. The age distribution of the students is as shown in Table 2.

3.1. Ranking Based on the Assessment of Subjects

Cluster analysis was applied to categorize the students according to their assessment of the subjects they received. The resulting groups are shown in Figure 1. A total of 9% gave a low rating, 32% a medium rating, and 59% a high rating, with respect to prior information, clarity of learning outcomes, student needs, interest, and whether the course was better organized compared to the face-to-face modality.

3.2. Classification Based on ICT Assessment

A categorization was made of the valuation that students give to ICT (Table 3); this valuation was subjected to a principal components analysis that allowed reducing the size of the construct while maintaining an explanation of variance of 90.83% with three components to which a description (name) was assigned according to the variables that comprise it. One aspect to highlight is the lower valuation given to the variable that measures whether online or virtual classes are better than face-to-face classes.
The three components were used as input variables to categorize students with the following results:
The 1.4% of students is called ‘the positive results’ group (group 1); these students are characterized by giving a markedly positive evaluation to the results of using ICTs. However, they give a markedly low evaluation to the remaining variables. A total of 78.3% belong to ‘the high valuation’ group, which has a uniformly positive valuation in all variables. Finally, the remaining 20.14% belong to ‘the low valuation’ group, which is characterized by having a higher rating in the advantages than in the rest of the variables (See Figure 2).

3.3. Classification Based on the Evaluation of Didactic Techniques

In this classification, students were categorized based on the importance they give to the different didactic techniques used in the subjects. These techniques are represented by the variables shown in Figure 3 below.
There are three resulting groups: low score—representing 5% of students, this group gives a low score to all the didactic techniques; average valuation—this group represents 29% of students and the valuations given are at an intermediate level in all the variables measured; high value—this group represents 66% and values positively all the didactic techniques.

3.4. Classification Based on the Assessment of Methodological Principles

A final classification relates to the methodological principles that students rated on a scale of 0 to 9. These principles can be seen as variables in Figure 4.
The assessments divide students into three groups:
  • Low rating, 4% of the students assign a low rating to all variables.
  • Average valuation, 18% of students assign an average valuation to all the variables analyzed.
  • High rating, 78% of the students assign the highest ratings to the different methodological principles.

3.5. Relations

3.5.1. Age and Sex

A significant relationship was found between the value given to ICT and age (x2 = 32.3; p < 0.05), in which the value given to technology has a direct relationship with age, that is, as the student advances in age, they tend to give greater importance to technology. The classification based on the importance of ICT does not depend on the student’s sex.
No significant relationship was found between sex and age with the evaluation of the subjects, methodological principles, or the evaluation of didactic techniques.

3.5.2. Importance of ICT and Methodological Principles

A multinomial logistic regression was applied in which the dependent variable is the valuation (low, medium, high) given to the methodological principles and the independent variable is the importance students give to ICT. A significant incidence was found in this relationship. The model explains 17.8% of the variance (Table 4).
The probability of belonging to the group that gives low importance to the methodological principles with respect to the group that gives high importance is 11.4 times greater when the student belongs to the ‘positive results’ group with respect to the ‘high valuation’ group; this can be interpreted as a greater probability (11.4 times) of belonging to the group that gives low value to the methodological principles when belonging to the group that gives higher value only to the results presented by the ICT.
The probability of belonging to the group that gives low importance to methodological principles with respect to the group that gives high importance is 3.36 times greater when the student belongs to the ‘low value’ group with respect to the ‘high value’ group. Likewise, this can be interpreted as the greater probability (3.36 times) of belonging to the group that gives low importance to methodological principles when the student belongs to the group that gives low importance to ICT.
The probability of belonging to the group that gives medium importance to the methodological principles with respect to the group that gives high importance is 178 times greater when the student belongs to the ‘positive results’ group with respect to the ‘high valuation’ group; this can be interpreted as a greater probability (178 times) of belonging to the group that gives medium value to the methodological principles when belonging to the group that gives higher value only to the results presented by the ICT.
The probability of belonging to the group that gives medium importance to methodological principles with respect to the group that gives high importance is 49 times higher when the student belongs to the ‘low value’ group with respect to the ‘high value’ group. The interpretation given indicates that there is a greater probability (3.36 times) of belonging to the group that gives medium importance to methodological principles when the student belongs to the group that gives low importance to ICT.
Regarding the students’ perception of studying in a virtual versus face-to-face modality, they prefer the latter, despite positively valuing the use of ICTs mainly for recalling information, self-learning, and motivation. This may be because the teaching techniques used by professors are still traditional.

4. Discussion

A classification was developed based on the valuation given to the subjects. This classification divided the students into three groups: advantages of ICT, ICT results, and facilitate teamwork. In these groups a marked difference between them can be highlighted. Something that calls attention is that, as a common factor in all groups, the valuation given to the variable that measures ‘a virtual modality is better than a face-to-face one’ is found to be lower. This variable has the lowest valuation, which clearly indicates that students are not convinced that a technology-mediated modality is better than a face-to-face one, and this is corroborated with what the researchers Pérez-López and Cambero Rivero [34] state. In other words, the university must move toward more collaborative and student-centered models.
Technology will always be a way or a bridge that facilitates processes. In this work, the valuation that students give to technology is evaluated, these valuations divide students into three groups, and two of them present uniform behavior, high valuation and low valuation; however, there is a group that mainly values the facilities provided by technology to remember information, for self-learning, and for motivation.
The qualification of the didactic techniques divides the students into three groups. The evaluation of each of the techniques within each group is uniform; however, it stands out that the directed debates and the spontaneous debates are the ones that have a lower importance according to the students’ criteria. Small group work is in the same situation. The techniques with the best valuation are the teacher’s explanation and individual work; regarding the teacher’s work and, more specifically, the explanation given by the teacher to the contents, the students’ preference reinforces the idea of necessary training of teachers for long-term teaching events as pointed out by Andrade et al. [33].
To answer why the teacher’s explanation and individual work have a higher grade, it is necessary to delve into the analysis, starting from the question: are these techniques not the most traditional ones? If the answer is yes, and if technologies provide advantages that improve both teaching and learning, then we are faced with a contradiction that may have many causes. Initially, these results would be in contradiction with those reported by Trigueros et al. [19] who highlight several positive aspects of a technology-mediated modality that do not reflect the results of this work.
A classification was developed based on the importance that the student gives to the methodological principles. In this classification, the most important group, due to the number of students counted in it, has a low valuation of individualization as a characteristic. The group of medium valuation has the characteristic of giving a lower valuation to previous knowledge. The valuation of the methodological principles allows highlighting that there are principles that receive less importance, individualization and previous knowledge, and those that receive greater valuation, motivating learning and cooperation. Here, we find a coincidence with the approaches of Chen-Quesada et al. [39] who point out both motivation and cooperation among the principles that articulate technology-mediated learning.
Of the four classifications developed, only age, and not gender, has an impact on the classification based on the valuation given to ICT; the remaining classifications do not show any dependence on these variables. This coincides with previous studies by Torres-Diaz et al. [47] where gender tends to present less incidence on the way in which technology is used by university students in Ecuador.
Regarding the dependence of methodological principles on the importance of ICT, it should be noted that the more important a student considers technology, the higher the value they give to methodological principles, which supports what Nichol [52] pointed out regarding the promotion of methodological principles such as dialogue and communication as the basis of the educational process.

5. Conclusions

What ultimately underlies, according to the results of the research, is the roots of a traditional paradigm based on the teacher’s explanation and individual work, which must give way to other more collaborative and student-centered models. The closure of face-to-face classrooms serves as an opportunity for this change once the technological barrier that hindered the use of digital technologies by teachers and students has been overcome. This is a more flexible model [44]. However, the transition to comprehensive digitization will only be possible if it is accompanied by an institutional strategy that produces a transformation in the model involving students and teachers.
The digital gaps based on gender or age tend to disappear. In this work, no incidence of gender was found on the valuation of technology; with respect to age, it persists with significant but low values. This is far from the findings on the digital divide that, at the time, defined this concept.
Regarding the importance that students give to the methodological aspects of the training process, this importance tends to increase as the importance they give to technology.
For future research, it is recommended to delve deeper into the topic of virtual versus face-to-face, to break down and expand the variables that can explain more clearly the preferences of students and especially the advantages of this mode of study. The objective of this article is none other than to present, by means of empirical evidence, a diagnosis with lights and shadows on the virtual teaching performed during the confinement and that may serve other universities to face the challenges of COVID-19.

Author Contributions

Conceptualization, J.C.T.-D. and D.R.-R.; methodology, J.C.T.-D. and D.R.-R.; validation, L.A.-V., D.R.-R. and A.M.B.-F.; formal analysis, J.C.T.-D.; investigation, A.M.B.-F., L.A.-V. and D.R.-R.; writing—original draft preparation, L.A.-V., D.R.-R., A.M.B.-F. and J.C.T.-D.; writing—review and editing, D.R.-R. and L.A.-V.; supervision, J.C.T.-D.; funding acquisition, D.R.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. United Nations Educational, Scientific and Cultural Organization [UNESCO]. Available online: https://es.unesco.org/covid19/globaleducationcoalition (accessed on 21 December 2021).
  2. Dhawan, S. Online learning: A panacea in times of COVID-19 crisis. J. Educ. Technol. Syst. 2020, 49, 5–22. [Google Scholar] [CrossRef]
  3. Abreu, J.L. Coronavirus times: Online education as a response to crisis. Daena Int. J. Good Conscienc. 2020, 15, 1–15. Available online: http://www.spentamexico.org/v15-n1/A1.15(1)1-15.pdf (accessed on 3 January 2022).
  4. Camacho, A.C.; Joaquim, F.L.; Menezes, H.F.; Sant’ Anna, R.M. A tutoria na educação à distância em tempos de COVID-19: Orientações relevantes. Res. Soc. Dev. 2020, 9, e30953151. [Google Scholar] [CrossRef] [Green Version]
  5. Rogero-García, J. The fiction of educating at distance. Rev. Sociol. Educ. RASE 2020, 13, 174–182. [Google Scholar] [CrossRef]
  6. Cabrera, L. Effects of the coronavirus on the education system: Increasing inequality of educational opportunities in Spain. J. Sociol. Educ. 2020, 13, 114–139. [Google Scholar] [CrossRef]
  7. United Nations Educational, Scientific and Cultural Organization [UNESCO]. Available online: https://en.unesco.org/covid19/educationresponse/consequences (accessed on 22 December 2021).
  8. Ahmady, S.; Shahbazi, S.; Heidari, M. Transition to virtual learning during the coronavirus disease-2019 crisis in Iran: Opportunity or challenge? Disaster Med. Public Health Prep. 2020, 14, 11–12. [Google Scholar] [CrossRef] [PubMed]
  9. Huanca-Arohuanca, J.W.; Supo-Condori, F.; Sucari Leon, R.; Supo Quispe, L.A. The social problem of university virtual education in times of pandemic. Educ. Innov. 2020, 22, 115–128. [Google Scholar] [CrossRef]
  10. Cleland, J.; McKimm, J.; Fuller, R.; Taylor, D.; Janczukowicz, J.; Gibbs, T. Adapting to the impact of COVID-19: Sharing stories, sharing practice. Med. Teach. 2020, 42, 772–775. [Google Scholar] [CrossRef]
  11. Zapatería, M. Virtual environments in times of coronavirus. Question 2020, 1, e290. [Google Scholar] [CrossRef]
  12. Martínez-Arias, S.M.; Parra-Valcarce, E. E-innovation Platforms in Journalism Teaching: Cybermedia as a professional educational tool. Commun. Soc. 2020, 33, 123–136. [Google Scholar] [CrossRef]
  13. Barbour, M.K. Virtual Education: Not yet ready for prime time? In Test-Based Education Reforms: Lessons from a Failed Agenda, 1st ed.; Information Age Publishing: Charlotte, NC, USA, 2016; pp. 407–429. [Google Scholar]
  14. Yong, E.; Nagles, N.; Mejía, C.; Chaparro, C.E. Evolution of distance higher education: Challenges and opportunities for its management. Rev. Virtual Univ. Católica Norte 2017, 50, 81–105. [Google Scholar]
  15. Drew, H.; Banerjee, R. Supporting the education and well-being of children who are looked-after: What is the role of the virtual school? Eur. J. Psychol. Educ. 2019, 34, 101–121. [Google Scholar] [CrossRef] [Green Version]
  16. Marciniak, R.; Gairín, J. Dimensions of virtual education quality assessment: Review of referent models. Rev. Iberoam. Educ. Distancia 2018, 21, 217–231. [Google Scholar] [CrossRef] [Green Version]
  17. Avendaño, W.R.; Luna, H.O.; Rueda, G. Virtual education in times of COVID-19: Perceptions of university students. Form. Univ. 2021, 14, 119–128. [Google Scholar] [CrossRef]
  18. Martínez, P.J.; Aguilar, F.J.; Ortiz, M. Transitioning master’s degree in engineering from face-to-face to blended and online learning. IEEE Trans. Educ. 2020, 63, 2–9. [Google Scholar] [CrossRef]
  19. Trigueros, A.; Compagnoni, M.; Toro, L. Virtual Education with First Year Engineering Students in Times of Mandatory Social Isolation. Rev. Iberoam. Tecnol. Educ. Educ. Tecnol. 2021, 28, 310–317. [Google Scholar] [CrossRef]
  20. Van de Heyde, V.; Siebrits, A. The ecosystem of e-learning model for higher education. S. Afr. J. Sci. 2019, 115, 5808. [Google Scholar] [CrossRef] [Green Version]
  21. Área-Moreira, M.; Bethencourt-Aguilar, A.; Martín-Gómez, S. From blended learning to online learning in times of COVID-19. Student visions. Campus Virtuales 2020, 9, 35–50. [Google Scholar]
  22. Latip, M.S.A.; Noh, I.; Tamrin, M.; Latip, S.N. Students’ acceptance for e-learning and the effects of self-efficacy in Malaysia. Int. J. Acad. Res. Bus. Soc. Sci. 2020, 10, 658–674. [Google Scholar] [CrossRef]
  23. Balter, O. Moving technology-enhanced-learning forward: Bridging divides through leadership. Int. Rev. Res. Open Distrib. Learn. 2017, 18, 167–177. [Google Scholar] [CrossRef] [Green Version]
  24. Donnelly, R. Blended problem-based learning in higher education: The intersection of social learning and technology. Psychosociolog. Issues Hum. Resour. Manag. 2017, 5, 25–50. [Google Scholar] [CrossRef]
  25. Dewi, P.; Elihami, E.; Usman, M.I.; Asbar, A.; Saindang, S. Technology-Enhanced Learning Research in Higher Education: A recommendation System for creating courses using the Management Systems in the E-Learning 5.0. J. Phys. Conf. Ser. 2021, 1933, 012125. [Google Scholar] [CrossRef]
  26. Flavin, M.; Bhandari, A. What We Talk About When We Talk About Virtual Learning Environments. Int. Rev. Res. Open Distrib. Learn. 2021, 22, 164–193. [Google Scholar] [CrossRef]
  27. Price, L.A. Technology-enhanced learning and teaching in higher education: What is ‘enhanced’ and how do we know? A critical literature review. Learn. Media Technol. 2013, 39, 6–36. [Google Scholar] [CrossRef]
  28. Downie, S.; Gao, X.; Bedford, S.; Bell, K.; Kuit, T. Technology enhanced learning environments in higher education: A cross-discipline study on teacher and student perceptions. J. Univ. Teach. Learn. Pract. 2021, 18, 12:1–12:25. [Google Scholar] [CrossRef]
  29. Selwyn, N. Digital downsides: Exploring university students’ negative engagements with digital technology. Teach. High. Educ. 2016, 21, 1006–1021. [Google Scholar] [CrossRef]
  30. Flavell, H.; Harris, C.; Price, C.; Logan, E.; Peterson, S. Empowering academics to be adaptive with eLearning technologies: An exploratory case study. Australas. J. Educ. Technol. 2019, 35, 1–15. [Google Scholar] [CrossRef]
  31. Velásquez, R. Virtual education in times of COVID-19. Int. Sci. J. 2020, 3, 19–25. [Google Scholar] [CrossRef]
  32. Gordillo, A.; Barra, E.; López-Pernas, S.; Quemada, J. Development of Teacher Digital Competence in the Area of E-Safety through Educational Video Games. Sustainability 2021, 13, 8485. [Google Scholar] [CrossRef]
  33. Andrade-Vargas, L.; Estevao-Romeiro, A.; Iriarte-Solano, M.; Riofrio-Leiva, V.; Yunga-Godoy, D. Teacher’s perceptions, institutional challenges, and educational sustainability during COVID-19 in Ecuador. Heliyon 2021, 7, e08596. [Google Scholar] [CrossRef]
  34. Pérez-López, E.; Vázquez Atochero, A.; Cambero Rivero, S. Distance education in times of COVID-19: Analysis from the perspective of university students. RIED-Rev. Iberoam. Educ. Distancia 2021, 24, 331–350. [Google Scholar] [CrossRef]
  35. Oikarinen, R.M.; Oikarinen, J.K.; Havu-Nuutinen, S.; Pöntinen, S. Students’ collaboration in technology-enhanced reciprocal peer tutoring as an approach towards learning mathematics. Educ. Inf. Technol. 2022. [Google Scholar] [CrossRef]
  36. Díaz Barriga, F.; Hernández, G.; Bustos Sánchez, B.; Romero, V. A b-learning experience focused on the collaborative construction of WebQuests with graduate students in psychology and pedagogy. In Educational Experiences with Digital Resources: Practices of Use and Technopedagogical Design; Universidad Nacional Autónoma de México: Coyoacán, México, 2011; pp. 121–140. [Google Scholar]
  37. Mortazavi, F.; Salehabadi, R.; Sharifzadeh, M.; Ghardashi, F. Students’ perspectives on the virtual teaching challenges in the COVID-19 pandemic: A qualitative study. J. Educ. Health Promot. 2021, 10, 59. [Google Scholar] [CrossRef] [PubMed]
  38. Daniels, H. Vygotsky and Pedagogy; Paidós: Barcelona, España, 2003; ISBN 84-493-1400-3. [Google Scholar]
  39. Andrade-Vargas, L.; Iriarte-Solano, M.; Rivera-Rogel, D.; Yunga-Godoy, D. Young people and social networks: Between the democratization of knowledge and digital inequality. Comunicar 2021, 69, 85–95. [Google Scholar] [CrossRef]
  40. Filippi, J.L.; Lafuente, G.; Ballesteros, C.; Bertone, B. Virtualization experience at UNLPam. Rev. Iberoam. Tecnol. Educ. Educ. Tecnol. 2020, 20–26. [Google Scholar] [CrossRef]
  41. Chen-Quesada, E.; Caerdas-Montano, V.; Rosabal-Victoria, S. Pedagogical management models: Factors of participation, change and innovation in Costa Rican educational centers. Educ. Electron. J. 2020, 24, 1–29. [Google Scholar] [CrossRef]
  42. Barona, C.B.; Ramirez, M.R. Effects of COVID-19 lockdown on the use of LMS platforms for virtual education. In Proceedings of the 16th Iberian Conference on Information Systems and Technologies (CISTI), Chaves, Portugal, 26 June 2021. [Google Scholar]
  43. García Martín, J.; García Martín, S. Use of digital tools for teaching in Spain during the COVID-19 pandemic. Rev. Española Educ. Comp. 2021, 38, 151–173. [Google Scholar] [CrossRef]
  44. Yánez Corrales, A.C.; Moreano Barragan, E.P. Use of Audiovisual Tools to Enhance Teaching of Curricular Content, Pedagogy and Technology. Rev. Educ. 2021, 45, 242–255. [Google Scholar] [CrossRef]
  45. Sugihartati, R.; Suyanto, B.; Sirry, M. The shift from consumers to prosumers: Susceptibility of young adults to radicalization. Soc. Sci. 2020, 9, 40. [Google Scholar] [CrossRef] [Green Version]
  46. Martínez, G.A.; Jiménez, N. Analysis of the use of virtual classrooms at the University of Cundinamarca, Colombia. Form. Univ. 2020, 13, 81–92. [Google Scholar] [CrossRef]
  47. Tomé-Fernández, M.; Curiel-Marín, E.; Caraballo, E. Use of Mobile Technologies in Personal Learning Environments of Intercultural Contexts: Individual and Group Tasks. Electronics 2020, 9, 876. [Google Scholar] [CrossRef]
  48. Expósito, A.; Sánchez-Rivas, J.; Gómez-Calero, M.P.; Pablo-Romero, M.P. Examining the use of instructional video clips for teaching macroeconomics. Comput. Educ. 2020, 144, 103709. [Google Scholar] [CrossRef]
  49. Hodges, C.; Moore, S.; Lockee, B.; Trust, T.; Bond, A. The Difference between Emergency Remote Teaching and Online Learning. Educ. Rev. 2020. Available online: https://er.educause.edu/articles/2020/3/the-differencebetween-emergency-remote-teaching-and-online-learning (accessed on 5 January 2022).
  50. Torres Diaz, J.C.; Duart, J.M.; Torres Carrión, P.V.; Marín Gutierrez, I. Plagiarism and use of technology by high school students. Campus Virtuales 2021, 10, 175–184. [Google Scholar]
  51. Al-Ataby, A. Technology-Enhanced Learning and Teaching in COVID-19 Era: Challenges and Recommendations. Int. J. Innov. Educ. Res. 2021, 8, 317–331. [Google Scholar] [CrossRef]
  52. Castañeda, L.; Selwyn, N. More than tools? Making sense of the ongoing digitizations of higher education. Int. J. Educ. Technol. High. Educ. 2018, 15, 22. [Google Scholar] [CrossRef] [Green Version]
  53. Trust, T. The 3 biggest remote teaching concerns we need to solve now. Edsurge 2020. Available online: https://www.ed-surge.com/news/2020-04-02-the-3-biggest-remote-teaching-concerns-we-need-to-solve-now (accessed on 5 January 2022).
  54. McKnight, K.; O’Malley, K.; Ruzic, R.; Horsley, M.K.; Franey, J.J.; Bassett, K. Teaching in a Digital Age: How Educators Use Technology to Improve Student Learning. J. Res. Technol. Educ. 2016, 48, 194–211. [Google Scholar] [CrossRef]
  55. Flavin, M. Disruptive Innovation and Technology Enhanced Learning. Psychol. Educ. Rev. 2021, 45, 17–25. [Google Scholar]
  56. Nichol, D. Promoting Dialogue in Technology-enhanced Learning. In Early Careers in Education: Perspectives for Students and NQTs Gillespie; Gillespie, A., Ed.; Emerald Publishing Limited, Northumbria University: New Casttle, UK, 2021; ISBN 978-1-83982-584-2. [Google Scholar]
  57. Gordillo, A.; Barra, E.; Garaizar, P.; López-Pernas, S. Use of a Simulated Social Network as an Educational Tool to Enhance Teacher Digital Competence. IEEE Rev. Iberoam. Tecnol. Aprendiz. 2021, 16, 107–114. [Google Scholar] [CrossRef]
  58. Hernández, R.; Fernández, P.; Baptista, P. Metodología de la Investigación, 6th ed.; Mc. Graw Hill: México D.F., México, 2014; ISBN 978-1-4562-2396-0. [Google Scholar]
  59. Fandos Garrido, M. Training Based on Information and Communication Technologies: Didactic Analysis of the Teaching-Learning Process. Ph.D. Thesis, Rovira i Virgili University, Tarragona, España, 2003. [Google Scholar]
Figure 1. Assessment of the subjects.
Figure 1. Assessment of the subjects.
Sustainability 14 03204 g001
Figure 2. Classification based on ICT-related components.
Figure 2. Classification based on ICT-related components.
Sustainability 14 03204 g002
Figure 3. Assessment of didactic techniques.
Figure 3. Assessment of didactic techniques.
Sustainability 14 03204 g003
Figure 4. Assessment of methodological principles.
Figure 4. Assessment of methodological principles.
Sustainability 14 03204 g004
Table 1. Questionnaire structure.
Table 1. Questionnaire structure.
Questionnaire QuestionsNumber of Items
Identification data4
Use of ICT11
Assessment of subjects5
Evaluate activities13
Training activities7
Materials for the development of the subjects6
Weight of the activities in the subject7
Methodological principles7
Teaching techniques9
Development of the subject30
Developing the course in virtual, hybrid, or distance mode7
Importance of the subjects6
Overall assessment of the subjects6
Table 2. Age distribution of students.
Table 2. Age distribution of students.
RangePercentage
17–2010.8%
21–2419.4%
25–2815.7%
29–3113.4%
32–3516.4%
36–399.0%
40–437.8%
44–474.5%
48–511.5%
44–471.5%
Table 3. ICT assessment.
Table 3. ICT assessment.
Components
VariablesAdvantages of ICTICT ResultsFacilitate Teamwork
Create Modify New Attitudes0.7730.460.288
Facilitate Transfer Knowledge0.7230.3710.514
Best Presentation Contents0.7090.4620.441
Propitiate Relationships Student–Professor0.7090.3760.49
Clarify Abstract Concepts0.7020.5550.302
Demonstrate Simulated Experiences0.6410.5710.375
Access More Information0.6090.4660.544
Easier To Remember Information0.4780.7740.351
Facilitates Self-study Individualizes Teaching0.4440.6860.494
Motivate Learning0.4750.6830.478
Facilitate Teamwork0.3680.3850.813
Table 4. Parameter estimates.
Table 4. Parameter estimates.
BTypical ErrorWaldglSig.Exp (B)95% Interval for Exp (B)
Lower
Limit
Upper
Limit
Intersection1.7480.19580.65210.000
[ICTRating = 1]
[ICTR Rating = 1
2.4411.2403.87410.04911.4841.010130.519
Under[ICTRating = 2]
[ICTR Rating = 2
1.2140.36211.22910.0013.3661.6556.846
[ICTRating = 3]
[ICTR Rating = 3
0 b 0
Intersection5.1821.00326.70110.000
Medium[ICTRating = 1]
[ICTR Rating = 1]
5.1821.7348.93410.003178.0005.9535322.604
[ICTRating = 2]
[ICTR Rating = 2
3.8941.07913.01410.00049.1035.920407.284
[ICTRating = 3]
[ICTR Rating = 3
0 b 0
b This parameter has been set to zero because it is redundant.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Torres-Díaz, J.C.; Rivera-Rogel, D.; Beltrán-Flandoli, A.M.; Andrade-Vargas, L. Effects of COVID-19 on the Perception of Virtual Education in University Students in Ecuador; Technical and Methodological Principles at the Universidad Técnica Particular de Loja. Sustainability 2022, 14, 3204. https://doi.org/10.3390/su14063204

AMA Style

Torres-Díaz JC, Rivera-Rogel D, Beltrán-Flandoli AM, Andrade-Vargas L. Effects of COVID-19 on the Perception of Virtual Education in University Students in Ecuador; Technical and Methodological Principles at the Universidad Técnica Particular de Loja. Sustainability. 2022; 14(6):3204. https://doi.org/10.3390/su14063204

Chicago/Turabian Style

Torres-Díaz, Juan Carlos, Diana Rivera-Rogel, Ana María Beltrán-Flandoli, and Lucy Andrade-Vargas. 2022. "Effects of COVID-19 on the Perception of Virtual Education in University Students in Ecuador; Technical and Methodological Principles at the Universidad Técnica Particular de Loja" Sustainability 14, no. 6: 3204. https://doi.org/10.3390/su14063204

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop