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Architectural planning and design

Learning utility of smart school learning space: the impact of spatial factors via visual stated preference method

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Pages 1234-1249 | Received 25 May 2023, Accepted 14 Sep 2023, Published online: 05 Oct 2023

Figures & data

Table 1. Statistics of primary and secondary schools in Harbin city.

Figure 1. Research framework.

Figure 1. Research framework.

Table 2. Learning space factors and level settings of smart primary and secondary schools.

Table 3. Virtual learning space selection scenario model.

Table 4. Sample characteristic statistics. (n = 200).

Table 5. Statistics of the number of classroom models selected. (n = 3600).

Table 6. Descriptive statistics of classroom preference variables. (n = 200).

Table 7. Results of estimation of logit. (n = 200).

Figure 2. The comparison of variables’ coefficients.

Figure 2. The comparison of variables’ coefficients.

Table 8. Adjusted associations between gender and learning space preferences.

Table 9. Adjusted associations between sociodemographic characteristics and learning space preferences.