Impact of Artificial Intelligence, Smart Learning and Belief About Future on Academic Performance & Moderating Effect of Desire for Knowledge

In the modern education system, using artificial intelligence and smart learning techniques has become vital for students' academic success. This research examines the direct impact of smart learning, artificial intelligence, and beliefs about the future on academic performance. It further investigates whether the desire for knowledge mediates the relationships between these variables. A structural questionnaire was designed using the existing literature, and data was collected through face-to-face distribution. The respondents have diversified demographic dimensions for which a sample of 317 was empirically tested with the help of MS-Excel and Smart PLS version 4. The results signify the following output: (1) artificial intelligence, desire for knowledge, and smart learning promote the academic performance of the study. (2) Desire for knowledge fully mediates the relationship between smart learning and academic performance and between beliefs about the future and academic performance, respectively. A comprehensive list of policy recommendations is also provided

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Publication Details

Journal
El Profesional de la Informacion
Published
2024-11-10
DOI
https://doi.org/10.3145/epi.2024.ene.0418
Primary Topic
Organizational and Employee Performance
Type
article
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article

Impact of Artificial Intelligence, Smart Learning and Belief About Future on Academic Performance & Moderating Effect of Desire for Knowledge

Liang Hu, Wenxi Zhu, Wei Xiao, Lihua Zhu et al.
El Profesional de la Informacion
Organizational and Employee Performance
article

Impact of Artificial Intelligence, Smart Learning and Belief About Future on Academic Performance & Moderating Effect of Desire for Knowledge

Liang Hu, Wenxi Zhu, Wei Xiao, Lihua Zhu, Y. Hu
article en

Abstract

In the modern education system, using artificial intelligence and smart learning techniques has become vital for students' academic success. This research examines the direct impact of smart learning, artificial intelligence, and beliefs about the future on academic performance. It further investigates whether the desire for knowledge mediates the relationships between these variables. A structural questionnaire was designed using the existing literature, and data was collected through face-to-face distribution. The respondents have diversified demographic dimensions for which a sample of 317 was empirically tested with the help of MS-Excel and Smart PLS version 4. The results signify the following output: (1) artificial intelligence, desire for knowledge, and smart learning promote the academic performance of the study. (2) Desire for knowledge fully mediates the relationship between smart learning and academic performance and between beliefs about the future and academic performance, respectively. A comprehensive list of policy recommendations is also provided

El Profesional de la InformacionVol. 33(4)
Hunan University of Technology (CN), Hunan First Normal University (CN)
Quality Education
Openalex Percentile: Top 81%
Organizational and Employee Performance
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Impact of Artificial Intelligence, Smart Learning and Belief About Future on Academic Performance & Moderating Effect of Desire for Knowledge — Liang Hu, Wenxi Zhu, et al. · El Profesional de la Informacion (2024) | TGRS Research Map | TGRS