Узбекистон республикаси соғЛИҚни сақлаш вазирлиги тошкент тиббиёт академияси
Find a site that advertises a real work in a hospital
- Bu sahifa navigatsiya:
- Survey Study II
- Methodology
- Data Analysis
- Figure 12: Data Analysis (Khan, 20)
- Test analysis results
- Benefits from AR Technology
- Long-time Memory Retention
- Better Clinical Decision Making
| S.no
|
Feature | |
|
Average Rating out of 5 | ||
|
1 |
Teaching Material |
3.997 |
|
2 |
Design of the user interface |
3.983 |
|
3 |
Multimedia features |
4.097 |
|
4 |
Interactive function |
4.163 |
|
5 |
Practicability |
4.05 |
|
|
Mean |
4.058 |
Figure 9: Feature Wise Ratings of Respondents (Kurniawan, 2018)
Inference
The above-average value indicates that every student in the experiment rated the application more than three (3), which implies this helped them in understanding Human Anatomy. Moreover, comparatively, the interactive feature in the application was most liked by the user, which helped them in accomplish learning. (Irawati, 2006)
Figure 10: Figure 10: Ratings Comparison of Application Features (Kurniawan, 2018)
Survey Study II
Similarly, using ARCS model, impact of AR in student’s motivation was determined through a survey. For each aspect of ARCS model, a research questionnaire was developed to evaluate the impact of AR on each of the factors of health education. Below are the prominent questions reflecting problem statement whose answer is derived from the respective questionnaire.
|
S.no ARCS factors Objective Question | ||
|
1. |
Attention |
How AR aspect affected the Attention aspect of UCT undergraduate health science students. |
|
2. |
Relevance |
How AR aspect affected the Relevance aspect of UCT undergraduate health science students. |
|
3. |
Confidence |
How AR aspect affected the Confidence aspect of UCT undergraduate health science students. |
|
4. |
Satisfaction |
How AR aspect affected the Satisfaction aspect of UCT undergraduate health science students. |
Figure 11: ARCS survey
Methodology
ARCS model was used in whichthe target sample group were the studentspersuingBachelor of Medicine and Bachelor of Surgery (MBChB) at UCT.
The sample size of this survey was 78 who filled both pre usage and post usage questionnaire. The type of the research is quantitative. The instruments used were in the form of Pre-usage and Post usage questionnaires. The questionnaires used Likert Scale to respond in the form of rating. The questions were about the motivation to read Anatomy with and without the use of AR Application.
Difference in mean value of both the studies show the impact of AR on Healthcare education on the basis of the 4 factors. (Khan, 20)
Data Analysis
Microsoft Excel was used to find the mean. The survey result analysis is done below:
|
S.no |
Aspects |
Pre-usage |
Post-Usage |
Percentage difference |
|
1 |
Attention |
2.93 |
3.83 |
30.72 |
|
2 |
Relevance |
3.37 |
3.26 |
-3.26 |
|
3 |
Confidence |
2.98 |
3.30 |
10.74 |
|
4 |
Satisfaction |
2.96 |
3.33 |
10.50 |
|
|
Overall |
3.05 |
3.49 |
14.43 |
Figure 12: Data Analysis (Khan, 20)
The comparison of mean values were performed graphically.
Figure 13: Comparison of different means graphically (Khan, 20)
In the analysis, Cronbach Alpha Test was performed using SPSS. The aim of this test was to evaluate how well questions for the survey fit together. When Alpha score is greater than 0.7, it is acceptable, greater than 0.8 it is good and greater than 0.9 it is excellent. It measures the internal consistency.
Test analysis results
|
Aspects |
Cronbach Alpha Values |
|
Attention |
0.845 |
|
Relevance |
0.836 |
|
Confidence |
0.840 |
|
Satisfaction |
0.744 |
|
Overall |
0.833 |
Figure 14: Cronbach Alpha Values (Khan, 20)
Inference
Figure 13 represents the difference in means. The increase in mean for Attention, Confidence and Satisfaction was high whereas decrease in mean for Relevance was relatively lower. This means that behaviour of students towards AR Application is positive and they see overall improvement in their motivation.
The overall Cronbach Alpha value is 0.833, using mean technique, which implies that the questions in the questionnaire are well fitted and acceptable.
This inference address two objectives of the paper, understanding the impact of AR on Healthcare education and also behaviour of users towards the AR application.
Depending on the various analysis, the following benefits can be inferred:
Benefits from AR Technology
According to Radu in his paper “Augmented reality in education: a meta-review and cross-media analysis”, the various benefits of Augmented Reality in Healthcare includes
Better Understanding of Concepts
According to surveyed papers, it is evident that the subjects which involve high visualisations like Anatomy; Geography etc is better understood in interactive 3D technology like Augmented Reality.
Using the observation method, learners were subjected to two different conditions to learn anatomy. One with web-based interaction and other with full-body interaction, bothmediums in AR. It was observed that-
Users who were subjected to web-based learning focused more on microanatomy. There learnt minute details while focusing on Regional Anatomy.
Users subjected to whole-body interaction focused more on surface movements and spatial relations.
Long-time Memory Retention
It has been observed that content studied via AR is retained longer than the ones studied from traditional methods.
Vincenzi and Valimontexperimented on two sets of people. One side were the candidates taught through AR medium against printed media on the other hand. The retention of the same content was tested after a week.
It was observed that people with technology had longer retention of the subject. On the other hand, no significant difference was seen in short-time memory. (Radu, 2014)
Better Clinical Decision Making
These days many AR applications are helping in Clinical Decision Making. This is of more importance in evidence-based medicine. While practising, the nurses and doctors can have already loaded database of possible circumstances. AR interactive 3D models portray various circumstances. With the help of this technology, they can now have access to many drugs and medical references to be applied in respective circumstances.
With the experiment conducted, the result reflects that there was much increase in the appropriateness of treating diseases and diagnosis when CDSS application was taken use. In the experiment, the drug knowledge was significantly increased (P = 0.005), and incorrect or unsafe drug prescribing was reduced by (P = 0.001)(Ventola, 2016)
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