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respondents over 40 years old (30.8%) and under 30 years old (20.1%). In terms of
                  educational attainment, 60.4% held a master’s degree and 39.6% held a doctoral degree.
                  Regarding teaching experience, 44.7% had 5–10 years of experience, while 27.7% had fewer
                  than 5 years and 27.7% had more than 10 years. In terms of digital technology experience in
                  teaching, 41.5% had 3–5 years of experience, 29.6% had more than 5 years, and 28.9% had
                  less than 3 years.
                        These characteristics indicate that the sample is relatively diverse in terms of age,
                  qualification, teaching experience, and digital exposure, which provides a useful basis for
                  examining the proposed relationships.
                        3.2. Measurement model assessment
                        The measurement model shows acceptable reliability and validity. According to the
                  original results, Cronbach’s alpha values for the constructs were above the acceptable
                  threshold, with most constructs exceeding 0.70. Composite reliability values were also above
                  0.80, indicating good internal consistency. In addition, the average variance extracted values
                  were above 0.50 for all constructs, supporting convergent validity (Hair et al., 2019). (Table
                  1).
                        Discriminant validity was assessed using the Fornell-Larcker criterion and HTMT ratios.
                  The results indicate that the square root of AVE for each construct exceeded its correlations
                  with other constructs, and all HTMT values were below the recommended threshold,
                  indicating satisfactory discriminant validity (Fornell & Larcker, 1981; Henseler et al., 2015).
                        Overall, the measurement results suggest that the constructs used in this study are
                  reliable and suitable for structural model testing.
                                              Table 1. Scale, validity, and reliability
                                                                         Outer
                                  Observed variables                                α      CR      AVE
                                                                        loading
                  Attitude toward Technology (ATU)
                  ATU1: I have a positive view of using digital          0.840
                  technology in teaching.
                  ATU2: I believe that digital technology brings many    0.847    0.798   0.882   0.713
                  benefits to teaching.
                  ATU3: I am interested in using digital technology in
                  teaching.                                              0.846
                  Experience in Technology Use (EXP)
                  EXP1: I have used digital technology in teaching for   0.829
                  many years.
                  EXP2: I have experience in applying digital            0.832    0.792   0.877   0.703
                  technology proficiently in teaching.
                  EXP3: I am confident in solving problems that arise    0.854
                  when using digital technology in teaching.
                  Perceived Digital Innovation (PDI)
                  PDI1: I perceive that the adoption of digital          0.882
                  technology promotes innovation in teaching.                     0.690   0.866   0.763
                  PDI2: Digital technology brings innovative and         0.865
                  effective teaching methods.
                  Perceived Ease of Use (PEOU)




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