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The effect of digital literacy on student identity and inclusion: insights from the University of Western Macedonia

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Introduction

Digital literacy and online educational schemes are by definition inextricably linked to one another. This nexus became apparent when the overwhelming majority of universities worldwide opted for online educational programmes to facilitate the learning process (Ozdamar-Keskin et al., 2015, p. 80), and most recently due to the pandemic (Dulamă & Ilovan, 2020). This practice has been further established during the past years, bearing in mind that many educational institutions kept a part of their curriculum online after the pandemic eased. In this regard, the educational process has partially moved online, not because it is a requirement, but because it is considered as a feature that facilitates educational activities. However, during the pandemic universities had to adapt to a totally online scheme, and even exams took place without physical presence during the 3 years of the COVID-19 pandemic (Kasimoğlu et al., 2022).

From this perspective, it becomes evident that higher education is gradually becoming dependent on digital literacy, and more specifically it relies heavily on the digital literacy of both instructors and students (English, 2016). As regards instructors, universities provide them with certifications to confirm their ability to unfold their classroom teaching practices online for several years now (Al-Juboury, 2012). However, students’ lack of digital literacy or familiarisation with online working environments is usually an impediment to their own seamless progress (Maphosa & Bhebhe, 2019). This is particularly the case when it comes to conventional universities, which were not prepared for online educational schemes at first and had not prepared their staff and students to make such a complete turn (Perifanou et al., 2021).

The importance of digital literacy is pointed out by the European Policy Network on Literacy (ELINET). ELINET defines digital literacy as the ‘student’s ability to engage with digital behaviors, practices and identities, and develop their functional IT skills’ (2020–2021). Evidently, students’ capability to respond to online teaching methods is of utmost importance. In this regard, digital literacy develops in operational, cultural and critical dimensions. These three dimensions build upon one another. That is, operational digital literacy relates to students’ ability to function in a digital environment, while the cultural dimension relates to their ability to exchange information and enter into relations with other students or instructors; finally, the critical dimension is their ability to critically assess online information and proceed with their research (Martímez-Bravo et al., 2022).

In this context, it is apparent that digital literacy plays an important role in education in general. When it comes to higher education, online sessions in particular, it is an important skill. Digital competency has become the most significant aspect of distance education schemes, either those which have resulted from public health restrictions, or those which were originally designed this way. Therefore, this is an aspect of modern pedagogy which falls under the spectrum of digitalisation and information societies, as well as a necessary precondition for access to distance learning (Aviram & Eshet-Alkalai, 2006).

Overall, university education goes online to follow the current trends. Adaptation to current needs is expedited during the past years, obliging university institutions to invest in digital tools and enhance students’ literacy skills.

Student Perception Towards Digital Literacy and the Formation of Digital Identity

Although digital skills and competence have come almost naturally to students over the recent years, due to their increasing use of digital equipment in everyday life, when digital literacy enters a formal educational environment the requirements differ and change. The application of digital skills in the formal education environment is not so simple, given that it has become a part of the educational process (Maina et al., 2020).

In this regard, it is usually attested that higher education or university educated students develop a negative perception of online and distance education and the digitisation of the process (Galindo-Domínguez & Bezanilla, 2021). In most cases, students who are familiar with online programmes and have acquired digital skills through their daily activities encounter difficulties in incorporating these skills in the learning process. This can basically be attributed to two reasons: first, online and distance education requires that students self-organise their time and efforts, and coupling these efforts with the need to familiarise themselves with the technology and gain digital competence. Second, online and distance education is not only a matter of functional digital literacy, rather it also incorporates the cultural and critical aspects of digital literacy (Martzoukou et al., 2020).

These requirements often impede students from developing a positive perception of online education, due to their digital literacy incompetence. Higher education students in Greece did not enter this educational scheme as part of a conscious decision, as opposed to open education students (Tzifopoulos, 2020). Thus, they lack full knowledge of the prerequisites and requirements of online learning. In this respect, their struggle to cope with online education requirements is understandable. More specifically, students who enter conventional universities in Greece expect that teaching will take place face to face, and thus digital skills will be necessary only when it comes to assignments. On the contrary, open education students know from the very beginning that teaching takes place online and that the university replaces the lack of physical presence with a more sophisticated digital environment, with which they need to familiarise themselves from day one. It has been recorded that university students usually think negatively about digital literacy, except for students at open universities. In turn, handicaps in digital proficiency hold students back from developing their personal digital identity (Engeness, 2021).

The term ‘digital identity’ refers to ‘a blend of four areas of an individual’s belief system: beliefs about one’s technology skills, beliefs about opportunities and constraints to use technology, beliefs about the importance of technology, and beliefs about one’s own motivation to learn more about technology’ (Goode, 2010, p. 498). In this regard, development of a student’s digital identity is built upon their technological skills and competence and affects their participation in online classes, as well as their communication with other students and instructors, while it also plays an important role in their efficacy (Cochrane & Antonczak, 2015).

The formation of digital identity is not a linear process and differs according to every student’s personal background and profile. Although it depends on literacy and competence, digital identity focuses on the way individuals perceive themselves as students. This selfperception is based on previous technological access, technological familiarity. However, the preceding stages of digital identity formation are not the ones that matter the most. Digital identity affects the way university students address learning opportunities by seeking and receiving information online according to their learning experiences (Goode, 2010). The nexus between the two (digital literacy and identity) is not always manifest. However, a safe link may be drawn. The social ramifications of identity root back to literacy, and vice versa students’ social profile shapes to a great extent their cognitive skills.

Inclusive Online Education: The Formation of a Learning Experience

Compared with face-to-face classes, online and distance education is connected to lower student motivation rates. As a result, it is an uncontested observation that dropouts are frequent in online educational schemes. Therefore, inclusiveness is one of the most important success factors for such programmes. Inclusiveness is a term that has received multiple definitions till now. Accessibility is undeniably a necessary requirement of it; that is, inclusive education refers to students’ ability to reach higher education. The major shift witnessed during the past years towards online education clearly has a positive impact in terms of accessibility. Distance learning programmes are suitable for students from rural areas, while students with family and working commitments can schedule their daily programme more easily. In addition, online education is, on most occasions, helpful to students with health issues. However, it is this broad accessibility which is partly responsible for high dropout rates. Online accessibility is a double-edged sword in this regard, as its impact on inclusiveness is contested. Although it facilitates the participation of more students, many of them struggle with multiple needs.

Inclusiveness is not a matter of accessibility only; in online environments it also depends on students’ support. It is noticed that ‘there is not a single kind of online student’ (Veletsianos, 2020); thus, the needs of them all shall be visible by educational institutions. Supporting online students to find their place in the online educational process relies mostly on the creation of accessible and usable courses, both in terms of content and design. After all, it is accepted that online inclusiveness is a heavy burden on the shoulders of instructors (Li & Yu, 2022), since they shall design courses with multiple means of engagement, presentation and expression, anticipating the needs of each and every student (Lowenthal et al., 2020, p. 12). As a result, instructors shall create such a strong relationship with their students so as to compensate for the absence of face-to-face courses and thus better cope with their educational needs (Archambault et al., 2022). This is what Veletsianos and Houlden refer to as the ‘radical flexibility and relationality’ effect of COVID-19 in the educational process (Veletsianos & Houlden, 2020).

Digital Literacy: Good Practices in Undergraduate Education During COVID-19 as a Guarantee of Inclusiveness

Digital literacy became a central tenet of higher education during the past decades and concerned universities worldwide. However, the pandemic’s outbreak reflected its significance even more. Even universities which had shown loose reflexes in the past and did not pay attention to digital technologies and student literacy, like the Greek ones, witnessed the significance of digital literacy after the outbreak of the pandemic.

While open universities or distance learning programmes have long-established practices to enhance students’ multidimensional digital literacy, the same does not apply to Greek state universities. Their attempt to ameliorate students’ self-efficacy in a digital working environment and encourage their participation in educational activities was initiated only after 2020 (Yustika & Iswati, 2020, p. 73). This set of practices was applied by undergraduate programmes as a means to avoid student dropouts and guarantee inclusiveness. In other words, such practices related to digital literacy serve as tools to ensure student equity, minimising potential gaps between different student groups.

The connection between digital literacy and inclusion has long been researched, not only in the field of educational methods but also since social media platforms have entered our lives. People’s access to digital networks is nowadays considered a valuable tool for societal inclusion. In the field of higher education it is more than that: digital literacy is broadly synonymous with access to knowledge. More specifically, digital literacy includes all ‘values, beliefs, knowledge, capacity and attitudes to use technology in an adequate way, including computer as well as different programmes and Internet, which allow for the possibility of research, access, organization and the use of information to produce knowledge’ (Spante et al., 2018, p. 1519151).

The list of such education practices is long, since universities have invested in them to guarantee their effectiveness as higher education institutions in undergraduate programmes. Among them, instructors’ enhanced communication with students, as well as their involvement in team educational activities, are at the top of the list. In this way, potential digital illiteracy will soon come to the surface and instructors will have a chance to propose ways that will improve students’ digital skills. High levels of digital competence and literacy will in turn transform into inclusion factors and equity features. This argument is circular and explains in a clear way how technology skills affect all these facets of the educational process (Sefton-Green et al., 2009).

These practices are not static following technological evolution. Digital literacy in higher education covers all its three dimensions. Functional literacy allows instructors and students to effectively communicate through a digital environment and effectively use particular software programs. Moreover, students have to access and search for information and critically use it in their research (Faris-Gaytan et al., 2022). At this point, it is upon instructors to safely guide students to obtain the necessary digital research skills to complete their educational tasks.

The above demonstrates how changeable and dynamic the environment of digital literacy is. Universities currently rely heavily on their instructors’ digital competencies and their students’ digital skills. Digital literacy and in particular the formation of digital identity has become a key factor of inclusiveness. COVID-19 expanded the role of digital literacy in higher education, although it is not the only factor towards this direction. By now, the acceleration of technological developments evinces the importance of digital literacy, and in turn the construction of digital identity. Put simply, during the past years technological literary and digital identity are becoming central aspects of higher education.

Purpose and Research Hypotheses

This research attempts to investigate how digital literacy affects student efficacy in undergraduate education and further investigates how the COVID-19 pandemic affected the educational process. It examines how digital skills and functional digital literacy guarantee access to the educational programme, while it analyses if the absence of such skills threatens inclusiveness and equity. Finally, it critically goes through pedagogical ways to improve cultural and critical digital literacy and considers how such skills may be incorporated into a university’s curriculum and support services. It explores whether undergraduate students are able to develop cultural and critical digital literacy, and it argues that the formation of digital identity is of growing importance, now that online education seems to be a permanent feature in the post-pandemic reality.

The research hypotheses were formulated as follows:

H1. Undergraduate students are concerned with operational digital literacy.

H2. Digital literacy is a prerequisite for the development of students’ digital identity.

H3. Good practices put forward by instructors enhance operational, cultural and critical digital literacy.

H4. Digital literacy positively affects inclusion.

Methodology
Sample and population

This annual survey was conducted among 135 undergraduate students from the University of Western Macedonia in the Department of Obstetrics. The study population consisted of people of both genders from the age of 18–22 years, who were undertaking the programme during the academic years 2021 and 2022. The department of obstetrics receives annually around 80 students, and it is estimated that around 300 students actively follow the undergraduate program. Questionnaires were delivered to students of all grades, while the questionnaire was also available online for students, connected with their e-class environment (see, Appendix 1). Questionnaires were anonymised and when 135 were collected (after 11 days of their first in-hand and online distribution) the electronic form was closed and no more questionnaires that students would turn in were selected.

This Department of Obstetrics is categorised among those where digital tools play a great role in the learning experience. Most classes are conducted with the use of digital tools, and they are not theoretical. Students need to be able to use elaborate digital tools in most of their classes. Although digital literacy is an important prerequisite of the department’s curriculum, this part is not well demonstrated to students at the first place.

Data collection procedure

The simple random methodology was followed for handing out questionnaires. Participants had been thoroughly informed of the research purpose, the optional and voluntary character of their participation, as well as the anonymous character of the research and confidentiality of their personal data. Questionnaires were handed out electronically and physically by both writers, with permission from the University.

In total, 150 questionnaires were distributed and 135 were returned sufficiently completed (response rate: 90%). The questionnaires were delivered electronically, either through email or student forums. This questionnaire was first prepared by the University of Western Macedonia’s Quality Assurance Unit and was distributed to undergraduate students (https://modip.uowm.gr/nfe/docs/egm/34DESQ.pdf) with a view to examine the satisfaction with online classes, but without focusing on digital identity.

Questions followed a five-scale Likert structure.

Research tool and data analysis

The statistical package SPSS Version 26 was used for data encoding, processing and statistical control. Analysis of all variables was carried out by descriptive statistics. For the positive or negative correlation between two variables we conducted the Pearson correlation test.

Before proceeding with data analysis we conducted internal consistency and validity tests and we also tested the sample’s normality, performing a skewness and kurtosis test.

Results

Overall, 135 undergraduate students of Obstetrics across Greece participated in the research. The questionnaire comprises 22 questions including demographics and is structured into four different categories.

Reliability statistics

Before the analysis of variables, we tested the efficiency of the internal consistency of the sample to verify how closely related the set of items are as a group (Cronbach’s a). This method is usual for testing the internal consistency of ordinal and hierarchical variables, suiting the Likert scale. In terms of internal consistency the result was 0.880, which verifies that the sample is credible as it is close to the maximum value of 1 (Table 1).

Cronbach’s α – internal consistent efficiency Reliability Statistics

Cronbach’s Alpha Cronbach’s Alpha Based on Standardized Items N of Items
,880 ,883 22

Moreover, the reliability statistics prove that excluding particular questions would not affect the internal consistency, according to the last column of Table 2.

Reliability statistics

Item-Total Statistics
Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach’s Alpha if Item Deleted
Q1 74.78 162.398 0.519 0.831 0.873
Q2 74.47 161.042 0.479 0.829 0.874
Q3 73.62 160.670 0.522 0.745 0.873
Q4 73.29 160.774 0.519 0.788 0.873
Q5 72.42 171.604 0.198 0.680 0.882
Q6 73.69 166.649 0.252 0.621 0.883
Q7 73.20 167.624 0.340 0.500 0.878
Q8 73.60 161.391 0.462 0.631 0.875
Q9 73.64 161.828 0.368 0.791 0.879
Q10 74.11 162.323 0.442 0.839 0.875
Q11 73.44 157.547 0.646 0.797 0.869
Q12 72.84 162.043 0.550 0.624 0.872
Q13 73.76 162.276 0.445 0.681 0.875
Q14 73.07 155.481 0.697 0.864 0.867
Q15 73.16 161.774 0.542 0.732 0.872
Q16 72.87 161.176 0.634 0.851 0.870
Q17 72.93 156.958 0.753 0.842 0.866
Q18 73.53 167.893 0.364 0.490 0.877
Q19 73.00 160.612 0.653 0.735 0.870
Q20 72.82 165.640 0.476 0.634 0.875
Q21 72.58 170.261 0.335 0.658 0.878
Q22 72.44 173.264 0.221 0.712 0.880

Furthermore, we tested the sample’s normality, and particularly if the data were normally distributed or skewed (skewness and kurtosis test). Table 3 shows that the sample is normally distributed (normal deviation), while the mean, median and mode of answers also come up.

Finally, we ran normality tests (Kolmogorov–Smirnov and Shapiro–Wilk). In both tests, the result <0.001 shows that the sample is normally distributed (Table 4).

Skewness and kurtosis tests

Statistics
N Valid Missing Mean Median Mode Std. Deviation Skewness Std. Error of Kurtosis Skewness Std. Error of Kurtosis Sum
Q1 135 0 2.04 2.00 1 1.099 0.631 0.209 -0.580 0.414 276
Q2 135 0 2.36 2.00 1 1.272 0.362 0.209 -1.141 0.414 318
Q3 135 0 3.20 3.00 3a 1.208 -0.393 0.209 -0.655 0.414 432
Q4 135 0 3.53 4.00 4 1.208 -0.736 0.209 -0.156 0.414 477
Q5 135 0 4.40 5.00 5 1.045 -1.820 0.209 2.783 0.414 594
Q6 135 0 3.13 3.00 4 1.444 -0.191 0.209 -1.317 0.414 423
Q7 135 0 3.62 4.00 3 1.064 -0.439 0.209 -0.190 0.414 489
Q8 135 0 3.22 3.00 3a 1.285 -0.168 0.209 -1.043 0.414 435
Q9 135 0 3.18 4.00 4 1.501 -0.349 0.209 -1.352 0.414 429
Q10 135 0 2.71 3.00 4 1.263 0.088 0.209 -1.190 0.414 366
Q11 135 0 3.38 3.00 4 1.184 -0.279 0.209 -0.811 0.414 456
Q12 135 0 3.98 4.00 5 1.068 -1.074 0.209 0.773 0.414 537
Q13 135 0 3.07 3.00 3 1.259 -0.127 0.209 -0.831 0.414 414
Q14 135 0 3.76 4.00 5 1.218 -0.876 0.209 0.001 0.414 507
Q15 135 0 3.67 4.00 3a 1.000 -0.331 0.209 -0.815 0.414 495
Q16 135 0 3.96 4.00 4 0.992 -1.029 0.209 1.283 0.414 534
Q17 135 0 3.89 4.00 5 1.063 -0.798 0.209 0.319 0.414 525
Q18 135 0 3.29 3.00 3 0.984 -0.180 0.209 -0.127 0.414 444
Q19 135 0 3.82 4.00 3 0.999 -0.455 0.209 -0.264 0.414 516
Q20 135 0 4.00 4.00 4a 0.946 -0.804 0.209 0.552 0.414 540
Q21 135 0 4.24 4.00 5 0.824 -0.483 0.209 -1.360 0.414 573
Q22 135 0 4.38 5.00 5 0.742 -0.739 0.209 -0.818 0.414 591

Normality tests

Tests of Normality
Kolmogorov-Smirnov Shapiro-Wilk
Statistic df Sig. Statistic Df Sig.
Q1 0.274 135 <0.001 0.817 135 <0.001
Q2 0.234 135 <0.001 0.851 135 <0.001
Q3 0.191 135 <0.001 0.896 135 <0.001
Q4 0.228 135 <0.001 0.861 135 <0.001
Q5 0.406 135 <0.001 0.622 135 <0.001
Q6 0.192 135 <0.001 0.877 135 <0.001
Q7 0.187 135 <0.001 0.880 135 <0.001
Q8 0.172 135 <0.001 0.904 135 <0.001
Q9 0.241 135 <0.001 0.843 135 <0.001
Q10 0.180 135 <0.001 0.892 135 <0.001
Q11 0.189 135 <0.001 0.905 135 <0.001
Q12 0.242 135 <0.001 0.819 135 <0.001
Q13 0.190 135 <0.001 0.903 135 <0.001
Q14 0.224 135 <0.001 0.839 135 <0.001
Q15 0.176 135 <0.001 0.882 135 <0.001
Q16 0.229 135 <0.001 0.817 135 <0.001
Q17 0.208 135 <0.001 0.836 135 <0.001
Q18 0.215 135 <0.001 0.900 135 <0.001
Q19 0.195 135 <0.001 0.859 135 <0.001
Q20 0.211 135 <0.001 0.835 135 <0.001
Q21 0.309 135 <0.001 0.754 135 <0.001
Q22 0.333 135 <0.001 0.741 135 <0.001

a Lilliefors Significance Correction

Self-evaluation questions on digital literacy

The first set of opinion questions relates mostly to students’ self-evaluation of their digital skills and competence. Given that higher education is characterised by inclusion and there is no particular pattern of homogeneity between students, not much attention was given to demographics. Instead, only two questions relate to participants’ gender and age. The first set of five questions relate to (1) participants’ self-evaluation of their digital skills, (2) if their university attendance has developed their digital skills, (3) how satisfied they are by their digital competence, (4) if they acknowledge the term digital literacy and (5) if they believe they have developed their digital identity (Table 5).

Self-evaluation opinion questions

Likert scale How would you evaluate your digital skills (%) Have university studies developed your digital skills (%) How satisfied are you with your digital skills (%) How do you value digital literacy (%) Have you developed your digital identity (%)
1. Not at all satisfied 11 4 20 4 24
2. Little satisfaction 4 18 9 22
3. Neutral 27 16 18 36 18
4. Satisfied 36 11 22 29 29
5. Very satisfied 22 69 22 22 7

Answers to the first question, regarding selfevaluation of digital skills and competence, show a variety of responses, which further reflects students’ different backgrounds. However, the results for the second question are illuminating, given that participants perceive their studies at the university as a catalyst for the development of their digital skills, and an overwhelming majority of 69% answered that they developed their digital literacy very much (Figure 1).

Figure 1:

Question 2: Development of digital skills during university studies.

As far as self-satisfaction with digital skills regarding their studies is concerned, answers are equally distributed, reflecting students’ varying perceptions and standards of their efficacy (Figure 2).

Figure 2:

Question 3: Self-satisfaction with digital skills.

- Finally, the most interesting part of the first set of opinion questions is that although students believe that digital literacy is extremely important for the accomplishment of their studies, they do not feel they have fully developed their digital identity. In turn, this further signifies low efficacy levels in terms of critical digital literacy skills, while it emphasises the potential deficits in their knowledge during research and written assignments.

Digital literacy responses

The second set of opinion questions relates particularly to the dimensions of digital literacy. More specifically, students were asked whether they feel comfortable about (1) using the necessary software to accomplish their tasks, which directly refers to operational digital literacy, (2) if they are familiar with the term cultural digital literacy, (3) if they are satisfied with their skills when it comes to online research, (4) if they feel they can critically assess the information they find on the web for their educational activities and (5) if they are familiar with the term critical digital literacy.

The findings from this set of questions reveal that students are familiar with the software used to complete their tasks, according to the chart in Figure 3. In this regard, their functional digital literacy is verified.

Figure 3:

Question 7: Familiarisation with the necessary software.

However, they are not familiar with the terms cultural and critical digital literacy (Questions 6 and 9, respectively) according to the distributions of their answers (Figures 4 and 5).

Figure 4:

Question 6: Familiarity with cultural digital literacy.

Figure 5:

Question 9: Familiarity with critical digital literacy.

In this regard, students seem to use the sources unconsciously and exchange information with their costudents, without particular knowledge of the importance of these functions.

Institutional practices on digital literacy

The third set of opinion questions refers only to good educational practices related to students’ digital literacy. More specifically, students were asked which practices followed by the university supported their digital competence: (1) if introductory courses and digital environment presentations are helpful, (2) how the close instructor–student relation has affected their operational digital literacy, (3) if mail and phone contact with instructors has resolved digital skills questions, (4) if they have received assistance from their fellow students and finally (5) if they have engaged in team educational activities (Table 6).

Good educational practices

Likert scale Introductory courses & digital environment presentation (%) Studentinstructor relations & digital literacy (%) Email conduct with instructors (%) Assistance from fellow students (%) Team educational activities (%)
1. Not at all satisfied 16 9 2 4 4
2. Little satisfaction 13 4 13 2
3. Neutral 36 22 29 24 29
4. Satisfied 20 31 27 38 29
5. Very satisfied 16 33 29 33 36

The findings from this set of questions are extremely interesting. The majority of participants (36%) pointed out that introductory courses and the presentation of the university’s digital environment were insufficient and did not make much difference in their operational digital literacy, which further makes room for discussion as far as the content and manner of execution of this educational practice is concerned.

Participants show confidence in communication with their instructors and this communication covers digital literacy as well, since a total sum of 64% have responded that they are satisfied, or very satisfied.

Finally, the last two questions refer to the university’s practices which engage students in teamwork. Participants develop their cultural digital literacy in such ways and feel free to exchange their views with their fellow students. Moreover, these team educational activities are very important for the shaping of their digital identity. More specifically, team educational activities are valued very highly by participants, as shown in Figure 6.

Figure 6:

Question 15: Evaluation of team educational activities.

COVID-19 effects on the educational process

The fourth and final set of questions relates to the influence of COVID-19 on digital literacy. More specifically, students were asked whether COVID-19 (1) has disrupted educational activities, (2) how satisfied they are with the digital conduct of exams, (3) how confident they feel about sitting for digital exams, (4) how COVID-19 has affected their digital competence and (5) how COVID-19 affects online education (Table 7).

COVID-19 and digital literacy

Likert scale COVID-19 disruption of education (%) Digital conduct of exams satisfaction (%) Confidence in digital exams (%) COVID-19 digital competence (%) COVID-19 online education (%)
1. Not at all satisfied 4.40 2.20 2.20
2. Little satisfaction 13.30 4.40 2.20
3. Neutral 42.20 33.30 24.40 24.40 15.60
4. Satisfied 28.90 28.90 35.60 26.70 31.10
5. Very satisfied 11.10 31.10 35.60 48.90 53.30

This set of answers verifies the overall sentiment that COVID-19 has not affected much online and distance education and that students are highly receptive to this online educational scheme. This is due to the fact that the majority of participants did not physically attend university facilities during their first year of undergraduate studies, and thus online higher education was how they first entered university. In this regard, they perceived online higher education as a logical scheme which made sense during the pandemic, as they had no other previous experience in university studies.

The chart in Figure 7 shows that COVID-19 has not significantly disrupted the usual processes of digital education, since 42.20% stayed neutral.

Figure 7:

Question 16: How COVID-19 disrupted the higher education process.

Moreover, students seem to have digital confidence when it comes to exams and their percentage of satisfaction is relatively large, even though it was a new process imposed by the needs of COVID-19 (Figure 8).

Figure 8:

Question 17: Digital conduct of exams.

- The same pattern follows the last two questions, where students found little effect of COVID-19 on digital literacy and online education, since the majority of answers show satisfaction or great satisfaction.

Discussion

This paper aptly demonstrates how Greek state universities attempted to adapt to the new scenario and cope with the technological transformational needs. Universities seem well equipped as far as the student–instructor relation is concerned (Zagkos et al., 2022). Most answers demonstrate that instructors managed to create strong bonds with their students during the COVID-19 period and cope with the absence of face-to-face classes. This is maybe the most tangible result drawn from this research. This is a global trend that has been recorded in many universities worldwide, and not an originality of the University of Western Macedonia (Tice et al., 2021). Thus, H3 is verified by this research.

Students have shown confidence in the new digital environment and there have been positive outcomes of this transformation. These measures have affected primarily the conduct of exams (Kharbat & Abu Daabes, 2021). Students’ overall satisfaction with regard to online learnina environments introduced after the pandemic and their feeling of competence during each semester was conjoined by the security they felt to take online exams (Abrosimova, 2020; Spante et al., 2018). However, answers to the questionnaire demonstrated concern or even anxiety about their operational literacy, particularly when it comes to presentation of their research, or other assignments. This verifies H1, although it shows that these concerns do not cover the part of exams. However, results are not the same as far as introductory courses are concerned, which do not have the same impact on students’ digital competence. This study has most certainly demonstrated that students do not seem satisfied with the university’s digital environment, or that they do not receive sufficient support regarding transformation to online courses. Although instructors managed to create a sense of security, the same does not apply to institutional university services (Alqabbani et al., 2021). This finding is a novelty of this study as it differentiates between University services and instructors’ support and demonstrates that there is more to be done by university institutions. In other words, there is a certain deficit in institutional readiness (Badiozaman, 2021; Budur et al., 2021; Cutri et al., 2020). That is, although H3 is verified it is not the only means to bring in good results for H1.

Moreover, although students communicate with their classmates with regard to the exchange of information and receive strong guidance from their instructors on their research and studies, they are not familiar with the importance of cultural and critical digital literacy and have low rates of confidence in searching for and critically assessing information. From this perspective, we may positively come to the conclusion that functional digital literacy is very well developed among undergraduates, while the same does not apply to cultural and critical digital literacy. Thereat, H1 is not proven in its entirety. What is more, students do not feel they are in a position to have shaped their digital identity as researchers and young scholars (Camacho et al., 2012), a fair outcome, bearing in mind that they are at an undergraduate level (Mcclurken et al., 2013). This finding proves that there is a gap in higher education between digital literacy and competence and the formation of digital identity. This finding runs contrary to H2 according to which digital literacy is a prerequisite for digital identity. The two are related: the former is first accomplished by students, however, there are stages in between which are not easily discernible. Although there is confidence with skills, undergraduates are not yet in a condition to perceive themselves as young scholars and researchers.

Finally, it can be generally said that Greek state universities have adapted to the new technological requirements (Kamarianos et al., 2020). This adaptation has been quick and not predesigned. Adaptation did not come as a result of careful planning, therefore conventional state universities, like the University of Western Macedonia, did not benefit from the already existing knowledge of open universities which are familiar with open distance learning. In this sense, the high level of students’ and instructors’ digital competency was the decisive factor in the successful outcome of this transition. In this sense, further design and overall planning of digital tools in higher education shall be made to enhance students’ literacy and guarantee that their digital identity is constructed based on positive learning experiences. This planning will further enhance all students’ inclusion in the digital University environment and avoid inclusion gaps or divides. Findings do not manifest issues of inclusion, however, there is no hint that no steps are taken towards inclusion through digital literacy (H4).

Research Implications: Online University Education Nowadays

Online university education is deemed as a convenient educational scheme, particularly for postgraduate courses. However, the same does necessarily apply to undergraduate curricula, where face-to-face classes are considered to be of utmost importance for the educational process. Nevertheless, many states have introduced legislation allowing public universities to proceed with online or face-to-face courses according to their policy and needs. In this sense, digital skills and digital literacy are central to university and higher education.

Universities are at the crossroads of a broader transformation and move steadily toward the expansion of online courses. Therefore, institutional support and friendly digital environments shall be further elaborated. Student support has most usually been considered a part of instructors’ duties in the educational process. However, digital university support is a distinct service that institutions need to provide.

As far as the educational process is concerned, undergraduate students struggle over time to develop their critical and cultural digital literacy. Taking into account that online courses have become permanent to a great or lesser extent, it is a matter of pedagogy to create courses that allow students to develop their critical and cultural digital literacy. That is, allow students to engage in teamwork and to critically explore and assess online sources.

Finally, online university educational schemes shall also consider how student inclusion will be secured and accomplished. Inclusiveness is prima facie facilitated with online courses, but the problem of potential dropouts is a reality that needs to be addressed. If university education is to turn online, at least partly, digital inclusiveness is a parameter of its success.

eISSN:
1027-5207
Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Social Sciences, Education, Curriculum and Pedagogy, other