| Literature DB >> 35386722 |
Evangelia Manou1, Evgenia-Charikleia Lazari1, Andreas C Lazaris1, George Agrogiannis1, Nikolaos G Kavantzas1, Georgia-Eleni Thomopoulou2.
Abstract
Purpose: Synchronous and asynchronous e-learning is a promising and effective educational method for the delivery of medical lessons. Due to the public health measures implemented during the COVID-19 pandemic, our Pathology Department faced the challenge of a total online transition of the lessons. Therefore, the aim is to evaluate the aspects of the applied e-learning method they received. Materials andEntities:
Keywords: e-learning evaluation; medical students; pathology course
Year: 2022 PMID: 35386722 PMCID: PMC8978362 DOI: 10.2147/AMEP.S353935
Source DB: PubMed Journal: Adv Med Educ Pract ISSN: 1179-7258
Demographics
| Freq. N | Freq. % | ||
|---|---|---|---|
| Gender | Female | 116 | 56.0% |
| Male | 91 | 44.0% | |
| Total | 207 | ||
| Region | Athens/suburbs | 115 | 59.0% |
| City outside Attica | 44 | 22.6% | |
| Rural area | 36 | 18.5% | |
| Other | 12 | ||
| Total | 207 | ||
| Working Status | Non-working students | 178 | 86.0% |
| Working students | 21 | 10.1% | |
| Freelancer working students | 8 | 3.9% | |
| Total | 207 | ||
Evaluation of the e-Learning Pathology (ePA) Items
| Pathology Items | Frequency | Frequency % | ||||
|---|---|---|---|---|---|---|
| Low (0–2) | Medium (4–7) | High (8–10) | Low (0–2) | Medium (4–7) | High (8–10) | |
| 4 | 54 | 149 | 1.9 | 26.1 | 72.0 | |
| 3 | 37 | 167 | 1.4 | 17.9 | 80.7 | |
| 58 | 32 | 124 | 28.0 | 15.4 | 59.9 | |
| 3 | 25 | 179 | 1.4 | 12.0 | 86.5 | |
| 1 | 35 | 171 | 0.5 | 16.8 | 82.6 | |
| 2 | 47 | 158 | 1.0 | 22.7 | 76.3 | |
| 7 | 51 | 149 | 3.3 | 24.6 | 71.9 | |
| 2 | 38 | 167 | 1.0 | 18.4 | 80.7 | |
| 0 | 15 | 192 | 0.0 | 7.2 | 92.7 | |
| 3 | 37 | 167 | 1.5 | 17.8 | 80.6 | |
| 8 | 76 | 123 | 3.9 | 36.6 | 59.4 | |
| 1 | 42 | 164 | 0.5 | 20.3 | 79.2 | |
| 4 | 20 | 183 | 1.9 | 9.6 | 88.4 | |
| 3 | 52 | 152 | 1.4 | 25.1 | 73.5 | |
| 1 | 42 | 164 | 0.5 | 20.3 | 79.3 | |
| 1 | 35 | 171 | 0.5 | 16.9 | 82.6 | |
| 4 | 30 | 173 | 1.9 | 14.5 | 83.6 | |
Figure 1Integration of e-learning pathology into real class.
Kruskal–Wallis Differences in e-Learning Pathology Total Items on demographics and e-Learning‘s Integration
| Gender | Region | Working Status | E-Learning Integration | |||||
|---|---|---|---|---|---|---|---|---|
| DF = 1 | DF = 2 | DF = 1 | DF = 1 | |||||
| 0.30 | 0.584 | 0.76 | 0.685 | 1.49 | 0.222 | 4.41 | 0.036** | |
| 3.49 | 0.062* | 3.02 | 0.220 | 3.99 | 0.046** | 11.85 | 0.001** | |
| 0.02 | 0.895 | 0.21 | 0.898 | 2.07 | 0.151** | 11.53 | 0.001** | |
| 0.02 | 0.889 | 1.13 | 0.569 | 6.95 | 0.008** | 12.32 | 0.000** | |
| 2.56 | 0.109 | 0.89 | 0.640 | 0.74 | 0.389 | 9.44 | 0.002** | |
| 0.02 | 0.892 | 1.29 | 0.526 | 2.43 | 0.119 | 26.06 | 0.000** | |
| 2.18 | 0.140 | 0.17 | 0.917 | 5.17 | 0.023** | 10.70 | 0.001** | |
| 2.03 | 0.154 | 1.50 | 0.473 | 10.59 | 0.001** | 5.52 | 0.019** | |
| 1.27 | 0.260 | 1.99 | 0.370 | 4.58 | 0.032** | 5.91 | 0.015** | |
| 1.23 | 0.267 | 0.83 | 0.659 | 5.86 | 0.016** | 6.40 | 0.011** | |
| 0.53 | 0.468 | 0.30 | 0.860 | 1.09 | 0.296 | 0.54 | 0.464 | |
| 0.82 | 0.366 | 3.52 | 0.172 | 5.55 | 0.018** | 1.26 | 0.262 | |
| 0.81 | 0.367 | 7.92 | 0.019** | 8.21 | 0.004** | 4.14 | 0.042** | |
| 0.00 | 0.944 | 2.53 | 0.282 | 7.81 | 0.005** | 4.82 | 0.028** | |
| 0.00 | 0.956 | 1.94 | 0.379 | 7.13 | 0.008** | 15.62 | 0.000** | |
| 0.26 | 0.609 | 1.17 | 0.558 | 9.36 | 0.002** | 19.40 | 0.000** | |
| 0.73 | 0.393 | 6.91 | 0.032** | 6.53 | 0.011** | 24.58 | 0.000** | |
Note: **p ≤ 0.05, *p ≤ 0.10.
Abbreviatons: χ2, chi-square distributions; DF, Degree of Freedom.
Kruskal Wallis Differences in e-Learning Pathology e-Class Scales
| Gender | Region | Working Status | E-Learning Integration | |||||
|---|---|---|---|---|---|---|---|---|
| DF = 1 | DF = 2 | DF = 1 | DF = 1 | |||||
| 1.07 | 0.302 | 0.79 | 0.675 | 5.88 | 0.015** | 16.66 | 0.000** | |
| 0.27 | 0.601 | 1.99 | 0.370 | 6.19 | 0.013** | 13.73 | 0.000** | |
| 1.04 | 0.309 | 1.49 | 0.475 | 7.25 | 0.007** | 16.59 | 0.000** | |
Note: **p ≤ 0.05.
Abbreviatons: χ2, chi-square distributions; DF, Degree of Freedom.
Means of e-Learning Pathology’s (ePA) Items per All Demographics
| Gender | Region | Working Status | |||||
|---|---|---|---|---|---|---|---|
| Females (N = 116) | Males (N = 91) | Athens/Suburbs (N = 115) | Urban Area (N = 44) | Rural Area (N = 36) | Students Do Not Work (N = 178) | Students Work (N = 29) | |
| 8.16 | 8.14 | 8.12 | 8.39 | 8.00 | 8.08 | 8.59 | |
| 8.50 | 8.18 | 8.45 | 8.41 | 8.08 | 8.27 | 8.90 | |
| 7.91 | 8.01 | 7.91 | 8.05 | 7.97 | 7.88 | 8.41 | |
| 8.98 | 8.84 | 8.91 | 9.05 | 8.78 | 8.81 | 9.59 | |
| 8.74 | 8.49 | 8.62 | 8.80 | 8.44 | 8.60 | 8.83 | |
| 8.42 | 8.34 | 8.43 | 8.57 | 8.08 | 8.31 | 8.83 | |
| 8.29 | 7.96 | 8.17 | 8.18 | 8.08 | 8.02 | 8.9 | |
| 8.83 | 8.33 | 8.76 | 8.43 | 8.56 | 8.47 | 9.40 | |
| 9.58 | 9.34 | 9.52 | 9.39 | 9.39 | 9.41 | 9.86 | |
| 8.66 | 8.34 | 8.47 | 8.61 | 8.72 | 8.41 | 9.17 | |
| 7.59 | 7.49 | 7.60 | 7.30 | 7.53 | 7.49 | 7.93 | |
| 8.60 | 8.44 | 8.7 | 8.32 | 8.33 | 8.44 | 9.07 | |
| 9.19 | 8.91 | 9.28 | 9.07 | 8.56 | 8.96 | 9.72 | |
| 8.28 | 8.37 | 8.47 | 8.23 | 8.11 | 8.21 | 9.00 | |
| 8.48 | 8.52 | 8.63 | 8.52 | 8.19 | 8.40 | 9.07 | |
| 8.80 | 8.86 | 8.90 | 8.75 | 8.67 | 8.73 | 9.41 | |
| 8.86 | 8.58 | 8.91 | 8.66 | 8.31 | 8.64 | 9.34 | |
Means of e-Learning Pathology’s Total Items
| Items | Ν = 207 | |
|---|---|---|
| Mean | SD | |
| 8.15 | 1.67 | |
| 8.36 | 1.62 | |
| 7.96 | 2.00 | |
| 8.92 | 1.60 | |
| 8.63 | 1.64 | |
| 8.39 | 1.69 | |
| 8.14 | 1.88 | |
| 8.61 | 1.70 | |
| 9.47 | 1.14 | |
| 8.52 | 1.64 | |
| 7.55 | 2.06 | |
| 8.53 | 1.62 | |
| 9.07 | 1.57 | |
| 8.32 | 1.83 | |
| 8.50 | 1.55 | |
| 8.83 | 1.57 | |
| 8.74 | 1.61 | |
Figure 2Means of e-learning pathology’s total items.
Means of e-Learning Pathology Items per e-Learning Integration
| E-Learning ‘s Low Integration into Real Class | E-Learning ‘s High Integration into Real Class | Significant test | ||||||
|---|---|---|---|---|---|---|---|---|
| Mean | N | SD | Mean | N | SD | DF=1 | ||
| 7.76 | 67 | 1.94 | 8.34 | 140 | 1.50 | 4.41 | 0.036** | |
| 7.69 | 67 | 2.10 | 8.68 | 140 | 1.22 | 11.85 | 0.001** | |
| 7.27 | 67 | 2.30 | 8.29 | 140 | 1.76 | 11.53 | 0.001** | |
| 8.25 | 67 | 2.17 | 9.24 | 140 | 1.12 | 12.32 | 0.000** | |
| 8.04 | 67 | 2.04 | 8.91 | 140 | 1.33 | 9.44 | 0.002** | |
| 7.48 | 67 | 2.05 | 8.82 | 140 | 1.29 | 26.06 | 0.000** | |
| 7.43 | 67 | 2.32 | 8.49 | 140 | 1.53 | 10.70 | 0.001** | |
| 8.15 | 67 | 2.09 | 8.83 | 140 | 1.44 | 5.52 | 0.019** | |
| 9.33 | 67 | 1.06 | 9.54 | 140 | 1.18 | 5.91 | 0.015** | |
| 7.93 | 67 | 2.22 | 8.80 | 140 | 1.18 | 6.40 | 0.011** | |
| 7.21 | 67 | 2.56 | 7.71 | 140 | 1.76 | 0.54 | 0.464 | |
| 8.31 | 67 | 1.83 | 8.64 | 140 | 1.51 | 1.26 | 0.262 | |
| 8.67 | 67 | 2.07 | 9.26 | 140 | 1.23 | 4.14 | 0.042** | |
| 7.84 | 67 | 2.22 | 8.55 | 140 | 1.56 | 4.82 | 0.028** | |
| 7.87 | 67 | 1.81 | 8.80 | 140 | 1.32 | 15.62 | 0.000** | |
| 8.13 | 67 | 1.80 | 9.16 | 140 | 1.33 | 19.40 | 0.000** | |
| 7.85 | 67 | 2.11 | 9.16 | 140 | 1.08 | 24.58 | 0.000** | |
Note: **p ≤ 0.05.
Abbreviatons: χ2, chi-square distributions; DF, Degree of Freedom.
Figure 3Means of e-learning pathology items per e-learning integration.