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

• Liang Hu ^[1] ; Wenmin Xiao ^[1] ; Wenxi Zhu ^[1] ; Lihua Zhu ^[2] ; Yueting HU ^[2]
  1. [1] School of Foreign Studies, Hunan First Normal University
  2. [2] School of Foreign Languages Hunan University of Technology and Business
• Localización: Profesional de la información, ISSN-e 1699-2407, ISSN 1386-6710, Vol. 33, Nº 4, 2024
• Idioma: inglés
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• Resumen

  • 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.