Table
|
Composite
|
Average Mean
|
Std. Deviatio n
|
Table 4.9
|
Digital Technology Acceptance (DTA)
|
3.19
|
1.090
|
Table 4.10
|
Perceived Ease of Use (PEU) of technology
|
2.84
|
1.118
|
Table 4.11
|
User Acceptance (UA)
|
2.67
|
1.108
|
Table 4.12
|
Quality Assurance Practices (QAP)
|
3.62
|
0.895
|
The summary of Table 4.22 indicates that Quality Assurance Practices (QAP) shows the highest average mean and standard deviation of 3.62 and 1.090, respectively. However, User Acceptance (UA) has the lowest average mean and standard deviation of 2.67 and 0.895, respectively.
Based on the findings from the responses provided the students and lecturers in section 4.3, 4.4 and 4.5, three path models are examined using PLS-SEM. The models focus on predicting attitude of students towards technology (Table 4.22), predicting mode of teaching (Table 4.23) and the effects of user acceptance, quality assurance practices and perceived ease of use on digital technology acceptance (Table 4.23).
Prior to the examination of the three structural models, the constructs reliabilities (Table 4.23), convergent validities (Table 4.24) and discriminant validities (Table 4.21) were assessed (G. W. Cheung et al., 2023; Y. Lin et al., 2020)
Table 4.23 Construct reliability and convergent validity
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