Dissertation
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- Statements Mean Std. Deviation
| Table
|
Composite |
Average Mean | |
|
Std. Deviation | |||
|
Table 4.10 |
Availability of Digital Infrastructure in Education (ADIE) |
2.81 |
1.325 |
|
Table 4.4 |
Technology for Classroom Training (TCT) |
2.91 |
1.246 |
|
Table 4.5 |
Computer Technology Application (CTA) |
3.00 |
1.298 |
|
Table 2.6 |
Attitude Towards Technology (ATT) |
3.86 |
1.028 |
|
Table 4.7 |
Laboratory Equipment for Teaching (LET) |
2.73 |
1.230 |
|
Table 4.8 |
Workshop Equipment for Training (WDE) |
2.86 |
1.280 |
The summary of Table 4.17 indicates that Attitude Towards Technology (ATT) shows the highest average mean and standard deviation of 3.86 and 1.028, respectively. However, Laboratory Equipment for Teaching (LET) has the lowest average mean and standard deviation of 2.73 and 1.230, respectively.
Lecturers Perceived Acceptance and Usage of Technology for Mechanical Engineering Training
This section focused on lecturers perceived acceptance and usage of technology for mechanical engineering training. The analysis covered four key areas: digital technology acceptance (DTA), perceived ease of use (PEU) of technology, user acceptance (UA), and quality assurance practices (QAP) in training institutions. The results offer a comprehensive understanding of the current state of digital technology adoption and provide a foundation for further discussion on how to address the challenges and leverage the opportunities presented by these emerging technologies in engineering education and training. The results are presented in Tables 4.18 to 4.20.
Table 4.18 Results on digital technology acceptance (DTA)
|
Statements |
Mean |
Std. Deviation |
|
1. Using digital technology (artificial intelligence, virtual reality, etc.) in my work helps me to accomplish tasks easily. |
3.33
|
1.013
|
|
2. Using digital technology (artificial intelligence, virtual reality, etc.) improves students’ performance. |
3.29
|
1.101
|
|
3. Using (artificial intelligence, robotics, virtual reality, etc.) enhances my effectiveness in online teaching. |
3.02
|
1.104
|
|
4. Using disruptive technology such as (artificial intelligence, virtual reality, etc.), makes engineering training easier and better than traditional methods. |
2.96
|
1.038
|
|
5. I find CAD/CAM useful for practical training. |
3.31 |
1.208 |
|
6. Using digital technology (artificial intelligence, virtual reality, etc.) in my work helps me to accomplish tasks easily. |
3.20
|
1.077
|
|
|
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