| Literature DB >> 35329099 |
Andreea Barbu1, Mirona Ana Maria Popescu1, Georgiana Moiceanu1.
Abstract
The COVID-19 pandemic has created important changes in all areas, highlighting many vulnerabilities, but also opportunities based on the use of technology. This paper aims to provide an overview of the online educational process from two perspectives-that of students and that of professors from Romanian universities. Data were collected from 844 students from Romanian universities disregarding the area of study. To achieve the main goal of this paper, both qualitative (in-depth interviews) and quantitative methods (surveys) were used, the data being processed using the SPSS Statistical software. The results of this paper highlight the discrepancy between the perspectives of the two parties directly involved in the university educational process. The study shows that the pandemic forced both stakeholders to work harder than before, which negatively affected the way the educational process unfolded, the pleasure of the teaching/learning process, the level of enthusiasm, and sometimes even the academic results. The final conclusions of this paper also highlight the need to make financial investments for the acquisition of licenses to create virtual animations or simulations, as well as for training teachers in their use. Research also indicates that to maintain students' attention in class, especially online, teachers should use new teaching strategies, such as the use of debates and brainstorming sessions.Entities:
Keywords: COVID-19 impact; digital transition; e-learning; educational platform; educational process; online teaching
Mesh:
Year: 2022 PMID: 35329099 PMCID: PMC8951472 DOI: 10.3390/ijerph19063409
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic data.
| Variables | Values | Students | Teachers | ||
|---|---|---|---|---|---|
| Frequency | Percentage | Frequency | Percentage | ||
| Gender | Male | 508 | 60.2 | 52 | 41.26 |
| Female | 336 | 39.8 | 74 | 58.74 | |
| Total | 844 | 100.0 | 126 | 100.0 | |
| University profile | Technical | 560 | 66.4 | 78 | 61.9 |
| Economic | 118 | 14.0 | 16 | 12.7 | |
| Construction | 18 | 2.1 | 8 | 6.3 | |
| Medicine | 10 | 1.2 | 10 | 7.9 | |
| Law | 0 | 0 | 10 | 7.9 | |
| Others | 138 | 16.4 | 4 | 3.2 | |
| Total | 844 | 100.0 | 126 | 100.0 | |
| Students’ age | 18–19 | 140 | 16.6 | - | - |
| 20–21 | 360 | 42.7 | - | - | |
| 22–23 | 156 | 18.5 | - | - | |
| 24–25 | 30 | 3.5 | - | - | |
| More than 26 | 158 | 18.7 | - | - | |
| Teaching degree | Assistant professor | - | - | 34 | 26.98 |
| Lecturer | - | - | 46 | 36.51 | |
| Associate professor | - | - | 24 | 19.05 | |
| Professor | - | - | 22 | 17.46 | |
The extent to which educational platforms were used before the pandemic to prepare/conduct teaching classes.
| Values | Frequency | Percent | Valid Percent | Cumulative Percent |
|---|---|---|---|---|
| To a very small extent | 52 | 41.3 | 41.3 | 41.3 |
| To a small extent | 30 | 23.8 | 23.8 | 65.1 |
| To a medium extent | 30 | 23.8 | 23.8 | 88.9 |
| To a large extent | 8 | 6.3 | 6.3 | 95.2 |
| To a very large extent | 6 | 4.8 | 4.8 | 100.0 |
| Total | 126 | 100.0 | 100.0 |
Participation in courses or trainings related to the use of online platforms depending on the level of English language proficiency.
| The Level of English Language Proficiency | Teachers | Students | ||||
|---|---|---|---|---|---|---|
| No | Yes | Total | No | Yes | Total | |
| A1 | 2 | 6 | 8 | 46 | 20 | 66 |
| A2 | 2 | 6 | 8 | 50 | 22 | 72 |
| B1 | 20 | 14 | 34 | 146 | 22 | 168 |
| B2 | 22 | 22 | 44 | 278 | 70 | 348 |
| C1 | 4 | 14 | 18 | 104 | 20 | 124 |
| C2 | 4 | 10 | 14 | 36 | 16 | 52 |
| Total | 54 | 72 | 126 | 660 | 170 | 830 |
Figure 1Participation in courses or training related to the platforms proposed by the faculty.
Chi-Square results for the associations between participation in courses or trainings related to the use of online platforms and the teachers’ and students’ level of English.
| Teachers | Students | |||||
|---|---|---|---|---|---|---|
| Observed Values | Value | df | Asymp. Sig. (2-Sided) | Value | df | Asymp. Sig. (2-Sided) |
| Pearson Chi-Square | 10.836 a | 5 | 0.055 | 18.873 b | 5 | 0.002 |
| Likelihood Ratio | 11.211 | 5 | 0.047 | 18.457 | 5 | 0.002 |
| Linear-by-Linear Association | 0.709 | 1 | 0.400 | 1.258 | 1 | 0.262 |
| N of Valid Cases | 126 | 830 | ||||
a. 4 cells (33.3%) have an expected count of less than 5. The minimum expected count is 3.43. b. 0 cells (0.0%) have an expected count of less than 5. The minimum expected count is 10.65.
Chi-Square results for the associations between participation in courses or trainings related to the use of online platforms and the students’ level of digital skills.
| Observed Values | Value | df | Asymp. Sig. (2-Sided) |
|---|---|---|---|
| Pearson Chi-Square | 10.115 a | 3 | 0.018 |
| Likelihood Ratio | 9.212 | 3 | 0.027 |
| Linear-by-Linear Association | 5.605 | 1 | 0.018 |
| N of Valid Cases | 830 |
a. 0 cells (0.0%) have an expected count of less than 5. The minimum expected count is 9.01.
Figure 2Computers owned by students and teachers to participate in online education.
Type of electronic devices used by students in online classes.
| Values | Frequency | Percent | Valid Percent | Cumulative Percent |
|---|---|---|---|---|
| Desktop | 110 | 13.0 | 13.0 | 13.0 |
| Laptop | 550 | 65.2 | 65.2 | 78.2 |
| Tablet | 8 | .9 | 0.9 | 79.1 |
| Smartphone | 176 | 20.9 | 20.9 | 100.0 |
| Total | 844 | 100.0 | 100.0 |
The most used educational platforms in online teaching.
| Educational platforms | Students% | Teachers% |
|---|---|---|
| Moodle | 43.4 | 28.23 |
| Microsoft Teams | 46.7 | 49.41 |
| Zoom | 8.8 | 8.23 |
| Google Classroom | 16.4 | 14.11 |
| Google Meet | 6.6 | 0 |
| Others | 0.7 | 0 |
Correlations between the average daily duration allocated before and after the pandemic to the preparation/teaching process, after the end of online classes, for students and teachers.
| Observed Values | Students | Teachers |
|---|---|---|
| Pearson Correlation | 0.439 ** | 0.338 ** |
| Sig. (2-tailed) | 0 | 0 |
| N | 824 | 126 |
Note: **. Correlation is significant at the 0.01 level (2-tailed).
Average daily duration allocated before the pandemic to the preparation/teaching process, after the end of online classes.
| Values | Teachers % | Students% | ||
|---|---|---|---|---|
| Before COVID-19 | After COVID-19 | Before COVID-19 | After COVID-19 | |
| Less than 2 h | 69.8 | 7.9 | 41.2 | 30.0 |
| Between 2 and 4 h | 23.8 | 50.8 | 49.9 | 44.8 |
| Between 4 and 6 h | 4.8 | 31.7 | 6.8 | 19.6 |
| More than 6 h | 1.6 | 9.5 | 2.2 | 5.6 |
| Total | 100 | 100 | 100 | 100 |
Using the faculty website before and during the COVID-19 pandemic.
| Observed Values | Teachers | Students |
|---|---|---|
| Pearson Correlation | 0.425 ** | 0.163 ** |
| Sig. (2-tailed) | 0.000 | 0.000 |
| N | 126 | 828 |
Note: **. Correlation is significant at the 0.01 level (2-tailed).
Figure 3The most efficient way students work.
Identifying the most difficult disciplines to be studied online from students’ and teachers’ perspective.
| Disciplines That Are Difficult to Be Studied Online | Teachers% | Students% |
|---|---|---|
| Disciplines involving exact mathematical and technical sciences | 60.9 | 52.9 |
| Disciplines involving practical activities and presence in laboratories | 17.4 | 25.4 |
| Disciplines related to the medical field | 10.9 | 0 |
| Disciplines that involve more the vocational part | 2.2 | 5.7 |
| Disciplines that previously did not involve technology at all | 2.2 | 0 |
| All disciplines | 6.5 | 9 |
| All disciplines can be easily studied in the online environment | 0 | 7 |
The most useful online teaching strategies.
| Strategies | Teachers% | Students% |
|---|---|---|
| Video animations, virtual simulations | 32 | 21.3 |
| Debates, brainstorming | 20 | 11.3 |
| Contests and attention to detail tests | 16 | 12.5 |
| Platforms for real-time use of student progress | 16 | 8 |
| Returning to classical education | 8 | 12.5 |
| Team projects | 8 | 9.4 |
| Graphic diagrams, summaries | 0 | 9.4 |
| Providing more practical examples | 0 | 8.1 |
| Using graphics tablets so that teachers could draw diagrams at the same time with students | 0 | 7.5 |
The way online classes are perceived.
| The Way Online Classes Are Perceived | Students% | Teachers% |
|---|---|---|
| Impersonal classes | 18.2 | 38.1 |
| Pleasant classes | 28 | 14.3 |
| Engaging classes | 14 | 6.3 |
| Boring classes | 28.4 | 3.2 |
| Tiresome classes | 49.8 | 25.4 |
| Ingenious classes | 10.9 | 7.9 |
| Inefficient classes | 0 | 3.2 |
| Useful classes | 0 | 1.6 |
Correlations between teachers’ and students’ level of online teaching enthusiasm and other variables.
| Variables | Info.Time | Response.Time | E.Cont.Tr | E.Solve | E.Active | E.Verify | E.Grading | E.Int.Stud | E.Int.Col | E.Work.Dclasses | E.Work.Aclasses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TLE | 0.425 ** | 0.422 ** | 0.522 ** | 0.476 ** | 0.467 ** | 0.398 ** | 0.437 ** | 0.381 ** | 0.192 * | −0.195 * | −0.326 ** |
| SLE | 0.259 ** | 0.271 ** | 0.440 ** | 0.393 ** | 0.388 ** | 0.363 ** | 0.315 ** | 0.323 ** | 0.289 ** | 0.078 * | 0.017 |
Note: **. Correlation is significant at the 0.01 level (2-tailed); *. Correlation is significant at the 0.05 level (2-tailed); r- Pearson Coefficient; TLE—teachers’ level of online teaching enthusiasm online; SLE—students’ level of online teaching enthusiasm; Info.Time—transmitting the information related to the teaching hours in the allocated time, without exceeding their period; Response.Time—students’ response time to the proposed questions during the time allocated to the teaching hours, without exceeding their period; E.cont.tr—ease of content transmission; E.solv—ease in solving examples; E.active—ease in being able to actively participate in class; E.verify—ease in verifying the knowledge gained by students; E.grading—ease of grading during classes; E.int.stud—ease of interaction with the students; E.int.col—ease of interaction with colleagues; E.work.dclasses—ease in the workload submitted during classes; E.work.aclasses—ease in the workload submitted after classes.
Correlations between teachers’ age, English language proficiency level, educational transition note to the digital environment, and other variables.
| Variables | Age | English Language Proficiency Level | Educational Transition Notes to the Digital Environment |
|---|---|---|---|
| English language proficiency level | −0.349 ** | 1 | |
| Note related to the educational transition to the digital environment | −0.237 ** | 0.088 | 1 |
| Volume of information of the prepared theoretical support | 0.071 | 0.046 | −0.157 |
| Volume of student requirements | −0.088 | 0.344 ** | 0.104 |
| Number of exercises performed | −0.068 | 0.129 | −0.197 * |
| Number of topics developed | −0.049 | −0.063 | −0.153 |
| Transmission of information related to online classes in the allocated time, without exceeding their period | −0.179 * | 0.098 | 0.417 ** |
| Time in which the students answer the proposed questions in the time allocated to the online classes, without exceeding their period | −0.216 * | 0.003 | 0.529 ** |
| Ease in transmitting content | −0.090 | 0.331 ** | 0.172 |
| Ease in solving examples | −0.109 | 0.336 ** | 0.172 |
| Ease in being able to actively participate in class | −0.026 | 0.113 | 0.157 |
| Ease in verifying the knowledge gained by students | 0.007 | 0.107 | 0.350 ** |
| Ease of grading during classes | 0.030 | 0.101 | 0.374 ** |
| Ease of interaction with the students | −0.016 | 0.030 | 0.278 ** |
| Ease of interaction with colleagues | 0.072 | −0.084 | 0.118 |
| Ease in the workload submitted during online classes | 0.064 | 0.067 | −0.139 |
| Ease in the workload submitted after online classes | 0.205 * | −0.076 | −0.177 * |
| Level of enthusiasm regarding online teaching | −0.260 ** | 0.177 * | 0.476 ** |
| Level of impairment of information transmission/reception due to technical problems | 0.050 | −0.297 ** | −0.082 |
| Level of impairment of attention to classes due to household activities | 0.133 | −0.192 * | −0.183 * |
| Level of use of the faculty’s website before the pandemic | −0.055 | 0 | 0.234 ** |
| Level of use of the faculty website during the pandemic | 0.020 | −0.313 ** | 0.104 |
| Note for class interaction with students | −0.140 | 0.140 | 0.258 ** |
| Level of use of technology in daily activities | −0.542 ** | 0.357 ** | 0.262 ** |
| Level of interaction with the educational platform | −0.254 ** | 0.162 | 0.445 ** |
| The extent to which educational platforms were used before the pandemic to prepare/conduct teaching classes | −0.324 ** | 0.306 ** | 0.355 ** |
| The extent to which educational platforms are used to prepare/conduct teaching hours after the onset of the pandemic | −0.221 * | 0.099 | 0.031 |
| Average daily duration allocated before the pandemic to the preparation/teaching process, after the end of teaching classes | −0.122 | 0.273 ** | 0.131 |
| Average daily duration allocated in the context of the pandemic of the preparation/teaching process, after the end of the online classes | 0.151 | 0.113 | 0.103 |
| The extent to which online education will be introduced into the traditional education system | −0.243 ** | −0.170 | 0.423 ** |
Note: * Correlation is significant at the 0.05 level (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed).
Correlations between students’ age, English language proficiency level, educational transition note to the digital environment, and other variables.
| Variables | Age | English Language Proficiency Level | Educational Transition Notes to the Digital Environment |
|---|---|---|---|
| English language proficiency level | −0.281 ** | 1 | |
| Note related to the educational transition to the digital environment | 0.218 ** | −0.130 ** | 1 |
| Volume of information of the prepared theoretical support | 0.024 | 0.034 | 0.292 ** |
| Volume of student requirements | −0.149 ** | 0.163 ** | −0.104 ** |
| Number of exercises performed | 0.055 | 0.084 * | 0.115 ** |
| Number of homework required by teachers | −0.030 | 0.121 ** | −0.098 ** |
| Transmission of information related to online classes in the allocated time, without exceeding their period | 0.254 ** | −0.245 ** | 0.400 ** |
| Time in which the students answer the proposed questions in the time allocated to the online classes, without exceeding their period | 0.314 ** | −0.252 ** | 0.374 ** |
| Ease in transmitting content | 0.208 ** | −0.010 | 0.491 ** |
| Ease in solving problems | 0.119 ** | 0.014 | 0.403 ** |
| Ease in being able to actively participate in class | 0.069 * | 0.053 | 0.369 ** |
| Ease in verifying the knowledge gained | 0.114 ** | −0.066 | 0.372 ** |
| Ease of grading during classes | 0.053 | −0.031 | 0.361 ** |
| Ease of interaction with the teachers | 0.148 ** | −0.021 | 0.383 ** |
| Ease of interaction with colleagues | 0.117 ** | −0.173 ** | 0.325 ** |
| Ease in the workload submitted during online classes | −0.093 ** | 0.052 | 0.044 |
| Ease in the workload submitted after online classes | −0.068 | 0.080 * | 0.01 |
| Level of enthusiasm regarding online teaching | 0.267 ** | −0.062 | 0.557 ** |
| Level of impairment of information transmission / reception due to technical problems | −0.225 ** | 0.102 ** | −0.256 ** |
| Level of impairment of attention to classes due to household activities | −0.318 ** | 0.130 ** | −0.305 ** |
| Level of temptation to use various applications that are not related to teaching classes during their development | −0.407 ** | 0.261 ** | −0.373 ** |
| Level of use of the faculty’s website before the pandemic | 0.028 | 0.067 | 0.085 * |
| Level of use of the faculty website during the pandemic | −0.112 ** | 0.043 | −0.008 |
| Note for class interaction with teachers | 0.354 ** | −0.110 ** | 0.357 ** |
| Level of use of technology in daily activities | −0.175 ** | 0.200 ** | 0.057 |
| Level of interaction with the educational platform | 0.040 | 0.062 | 0.234 ** |
| The extent to which online education will be introduced into the traditional education system | 0.151 ** | 0.007 | 0.299 ** |
Note: * Correlation is significant at the 0.05 level (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed).