Multilevel IRT models for the analysis of satisfaction for distance learning during the Covid-19 pandemic

Silvia Bacci, Rosa Fabbricatore and Maria Iannario

Socio-Economic Planning Sciences, 2023, vol. 86, issue C

Abstract: The Covid-19 pandemic played a relevant role in the diffusion of distance learning alternatives to “traditional” learning based on classroom activities, to allow university students to continue attending lessons during the most severe phases of the pandemic. In such a context, investigating the students' perspective on distance learning provides useful information to stakeholders to improve effective educational strategies, which could be useful also after the end of the emergency to favor the digital transformation in the higher educational setting.

Keywords: Digital innovation; Item response theory; Latent variable model; Random effects model; Remote learning (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122002683

DOI: 10.1016/j.seps.2022.101467

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