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Investigating the role of psychological needs in predicting the educational sustainability of Metaverse using a deep learning-based hybrid SEM-ANN technique

Arpaci, Ibrahim and Bahari, Mahadi (2023) Investigating the role of psychological needs in predicting the educational sustainability of Metaverse using a deep learning-based hybrid SEM-ANN technique. Interactive Learning Environments, 32 (6). pp. 2957-2969. ISSN 1049-4820

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Official URL: https://doi.org/10.1080/10494820.2022.2164313

Abstract

Metaverse is an immersive three-dimensional (3D) virtual world inhabited by avatars beyond the physical realm. The COVID-19 pandemic has disrupted the education system and the need to accelerate the digitalization of education has received a lot of attention. Metaverse can be an alternative solution for sociocultural interaction and to continue education. Accordingly, this study aimed to identify key factors in predicting the educational sustainability of Metaverse. The study empirically tested the role of psychological needs (i.e. hedonic motivation, affiliation, dominance, achievement, and autonomy) in predicting educational sustainability. The study employed a hybrid method integrating covariance-based structural-equation-modeling (CB-SEM) and deep artificial neural network (ANN) model. The CB-SEM results indicated that the need for autonomy and hedonic motivation significantly predicted the educational sustainability of Metaverse. Further, deep ANN models indicated that hedonic motivation was the most important input factor, followed by autonomy, affiliation, dominance, and achievement. Findings have practical implications for developers of the Metaverse environments and theoretical contributions for educators who manage and implement such environments.

Item Type:Article
Uncontrolled Keywords:autonomy; Educational sustainability; hedonic motivation; Metaverse; psychological needs
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:Management
ID Code:109023
Deposited By: Muhamad Idham Sulong
Deposited On:28 Jan 2025 00:54
Last Modified:28 Jan 2025 00:54

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