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. 2021 Mar 10;26(6):6675–6697. doi: 10.1007/s10639-021-10486-3

Table 5.

Moderation effects of adaptability and burnout on the changes in two subdomains of TSE

Variable β SE t p 95%CI
TSE for online instruction
  Constant .758 .745 1.017 .310 [−.708, 2.223]
  Online instruction1a .495 .175 2.825 .005 [.15, .839]
  Adaptability .33 .138 2.386 .018 [.058, .602]
  Online insturction1*Adaptability .004 .030 .141 .888 [−.0548, .0633]
  Constant 3.319 .544 6.106 .000 [2.250, 4.388]
  Online instruction1 .424 .105 4.019 .001 [.216, .631]
  Passion −.437 .152 −2.878 .004 [−.735, .138]
  Online instruction1*Passion .071 .03 2.365 .019 [.012, .13]
  Constant 2.534 .552 4.593 .000 [1.449, 3.619]
  Online instruction1 .618 .108 5.719 .000 [.405, .831]
  Effectiveness −.198 .177 −1.121 .263 [−.546, .15]
  Online instruction1*Effectiveness .006 .036 .171 .864 [−.065, .077]
TSE for technology application
  Constant .528 .860 .614 .540 [−1.163, 2.219]
  Technology1b .419 .188 2.231 .026 [.050, .789]
  Adaptability .536 .165 3.250 .001 [.211, .860]
  Technology1*Adaptability −.019 .033 −.567 .571 [−.085, .047]
  Constant 3.30 .645 5.117 .000 [2.032, 4.568]
  Technology1 .389 .121 3.228 .001 [.152, .627]
  Passion −.266 .183 −1.455 .147 [−.626, .094]
  Technology1*Passion .038 .035 1.10 .272 [−.03, .106]
  Constant 3.395 .644 5.271 .000 [2.128, 4.662]
  Technology1 .448 .121 3.711 .000 [.211, .685]
  Effectiveness −.271 .203 −1.335 .183 [−.670, .128]
  Technology1*Effectiveness .0086 .040 .216 .829 [−.070, .087]

a Online instruction1 indicates self-efficacy for online instruction at Time one; b Technology1 indicates self-efficacy for technology application at Time two