Claims

Self-efficacy, but not attitudes towards technology, predicted negative experiences, explaining 23% of variance; openness to change and school support predicted neither outcome.

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? For negative experiences, only self-efficacy remained in the final model (β = −0.420), explaining 23% of variance with controls, F(3, 213) = 22.001, p < .0001. → Sidi Yael 2023 q2 i? Openness to change and school support did not predict positive or negative experiences, despite their reported role in technology acceptance. → Sidi Yael 2023

Evidence

Sidi Yael 2023

Sidi Yael, Shamir-Inbal Tamar, Eshet-Alkalai Yoram. (2023). From face-to-face to online: Teachers' perceived experiences in online distance teaching during the Covid-19 pandemic. Computers & Education. https://doi.org/10.1016/j.compedu.2023.104831

q2 · i? · associational · r2

Hierarchical regression on negative experiences for the same 229 teachers. "only the variable self-efficacy remained in the final model which, together with the control variables, explained 23% of the variance in the negative experiences, F(3, 213) = 22.001, p < .0001"; Table 9 prints β = −0.420 for self-efficacy.

"only the variable self-efficacy remained in the final model which, together with the control variables, explained 23% of the variance in the negative experiences, F(3, 213) = 22.001, p < .0001"

Discussion

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