| Literature DB >> 24349257 |
Martin Boeker1, Peter Andel2, Werner Vach1, Alexander Frankenschmidt3.
Abstract
BACKGROUND: When compared with more traditional instructional methods, Game-based e-learning (GbEl) promises a higher motivation of learners by presenting contents in an interactive, rule-based and competitive way. Most recent systematic reviews and meta-analysis of studies on Game-based learning and GbEl in the medical professions have shown limited effects of these instructional methods.Entities:
Mesh:
Year: 2013 PMID: 24349257 PMCID: PMC3857775 DOI: 10.1371/journal.pone.0082328
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1CONSORT Diagram. A total of 145 students were randomized of which 144 students were analyzed.
Figure 2Scene from Uro-Island.
The character controlled by the player ("the doctor") exploring the island. He engages in dialogues with the non-player character ("Vesix).
Figure 3Scene from Uro-Island.
The players' character together with Vesix in a laboratory. Different things like cells, cristalls and tools have been collected into the inventory. Later the character can use them together with the correct devices in the laboratory, e.g. the microscope or the autoclave, to proceed in the unfolding story of the game.
Major cognitive learning objectives of the curriculum on "Phase contrast microscopic urinalysis on native urine".
|
| module |
|---|---|
| to describe the correct urine sampling method for enzymatic, microscopic and cultural urine diagnostics in urology | urine sampling |
| to describe the following methods of urine diagnostic: enzymatic urine test strip, preparation of a urine culture, and phase contrast microscopy of native urine | urine diagnostic methods |
| to describe the morphology of the pathological components in phase contrast microscopy of the native urine and name the pathological components | corpuscular elements, bacteria, crystals |
| to assign the common microscopic and enzymatic findings to urological diseases and interpret those findings bacte | corpuscular elements, ria, crystals |
All learning objectives were subject both in the script based approach and the GbEl. The module in which the particular learning objective is mainly trained is allocated.
Figure 4ITT analysis: distribution of the data in the script group and the GbEL group.
ITT-analysis and ITT-adjusted-for-treatment (AT) analysis of the cognitive learning performance.
| Parameter | Reference | Script | GbEl | difference |
|---|---|---|---|---|
| N | 117 | 63 | 81 | |
| gender ratio (M : F) | ND | 24 : 39 | 36 : 45 | |
| Median | 17 | 27 | 29 | 2 |
| mean (SD) [SE] | 18.3 (4.13) | 26.0 (3.99) | 28.6 (3.53) | 2.66^*^ [0.63] |
| CI mean | 17.5 - 19.0 | 25.0 - 27.0 | 27.9 - 29.4 | 1.42 - 3.909 |
| mean AT [SE] | 26.0 | 29.1 | 3.12^**^ [0.7] | |
| CI mean AT | 25.1 - 26.8 | 28.2 - 30.0 | 1.8 - 4.5 |
Data are shown for the reference group (without specific training) as a baseline measurement and the script group (control) vs. the GbEl group (intervention). Performance was measured with a 34-point single choice test.
The last column shows the performance differences between the GbEl group and the script group. The relevance of the differences should be interpreted considering the baseline value of untrained students from the first column. An increase of 2.66 points from script-based instruction to GbEl is about 35 % of the increase of 7.7 points from baseline to script.
The ITT-AT analysis pronounces the differences between the groups taking into account which students actually received the training. The differences between the groups are highly significant and relevant (7.8 % resp. 9.2 % increase). The Cohen's d effect size is 0.71 for the ITT analysis and 0.89 for the ITT-AT analysis.
^*^: t-test p < 0.001
^**^: Wald test p < 0.001
Figure 5Students' attitudes towards the learning experience, answers on the questionnaire on a 4-point Likert scale (1: no agreement to 4: full agreement).
Students in the GbEl group had significantly more fun, would like to learn more with GbEl and felt more confident in the content domain. The following questions were asked:
additional material: Would you like to have more learning material like this in your training?
fun: Did you enjoy working with the learning material?
confidence: Do you feel confident in the domain of laboratory urinalysis now?