“…Following the rotation, five latent factors were extracted based on the criteria of an eigenvalue greater than 1.0 and factor loading greater than 0.50. These criteria are considered acceptable for establishing construct validity [ 54 ]. In the final version of the scale, students' online course learning state was assessed by five components: lack of learning motivation (5 items, with factor loadings ranging from 0.515 to 0.829, and all factor loadings were significant at p < .001; α = 0.879), separation from instructors (4 items, with factor loadings ranging from 0.599 to 0.768, and all factor loadings were significant at p < .001; α = 0.858), separation from peers (3 items, with the factor loadings ranging from 0.632 to 0.761, and all factor loadings were significant at p < .001; α = 0.852), technological challenges (6 items, with factor loadings ranging from 0.510 to 0.742, and all factor loadings were significant at p < .001; α = 0.866), lack of two-way communication (6 items, with factor loadings ranging from 0.579 to 0.819, and all factor loadings were significant at p < .001; α = 0.959) (see Table 5 , Table 6 ).…”