Automated Academic Advisory System Based on Students’ Emotional Intelligence: A Study of University of Nizwa, Sultanate of Oman

Yaqoob khamis Al-anbari, K. K. Luhana, Imran khan Keerio, Madihah Sheikh Abdul Aziz, Asadullah Shah
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Abstract

The COVID-19 pandemic has brought outward unparalleled difficulties in the field of education, emphasizing the need for unique solutions.   This study aimed to evaluate the determinants that affect the effective implementation of the automated student academic advisory system at the University of Nizwa of the Sultanate of Oman, with a particular emphasis on its influence on students' emotional intelligence during the pandemic   The research utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) model to investigate how factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions influence students' behavioral intentions.   In addition, the study examined the behavioral intention effects on the use of the automated system, emotional intelligence effects and the experience of COVID-19 specifically influences the actual use of the system.   The study employed a case study methodology in combination with a quantitative survey method to gather data from 272 students and advisors at the University of Nizwa.   The collected data was analyzed using SmartPLS, a technique known as structural equation modeling.   The research provides useful information on the adoption of technology in an educational environment and its impact on student well-being and emotional intelligence.   The study found that only performance expectancy and facilitating condition factors had a substantial impact on behavioral intention, whereas effort expectancy and social influence did not.   Behavioral intention showed a positive correlation with actual usage, but performance expectancy, effort expectancy, and social influence did not directly influence the actual utilization.   Moreover, behavioral intention served as a mediator for the indirect impact of performance expectancy and facilitating conditions on actual usage. However, it did not mediate the indirect impact of social influence and effort expectancy on actual utilization.   Furthermore, the impact of COVID-19 and emotional intelligence did not influence the relationship between facilitating conditions and actual use.   These findings offer valuable information into understanding educational technology, particularly in situations of global crises, and offer practical recommendations for educators, legislators, and academic institutions seeking to enhance student participation, support, and general well-being.
基于学生情商的自动化学术咨询系统:阿曼苏丹国尼兹瓦大学研究
COVID-19 大流行给教育领域带来了前所未有的困难,强调需要独特的解决方案。 本研究旨在评估影响阿曼苏丹国尼兹瓦大学有效实施自动化学生学业咨询系统的决定因素,尤其侧重于大流行病期间该系统对学生情商的影响。研究利用技术接受和使用统一理论(UTAUT)模型,调查了绩效预期、努力预期、社会影响和便利条件等因素如何影响学生的行为意向。 此外,研究还考察了使用自动化系统的行为意向效应、情商效应以及 COVID-19 的体验对系统实际使用的具体影响。 研究采用了案例研究法与定量调查法相结合的方法,收集了尼兹瓦大学 272 名学生和辅导员的数据。 收集到的数据使用 SmartPLS(一种称为结构方程建模的技术)进行分析。 研究提供了有关在教育环境中采用技术及其对学生福祉和情商影响的有用信息。 研究发现,只有绩效预期和便利条件因素对行为意向有实质性影响,而努力预期和社会影响则没有。 行为意向与实际使用情况呈正相关,但绩效预期、努力预期和社会影响并不直接影响实际使用情况。 此外,行为意向是绩效预期和便利条件对实际使用的间接影响的中介。然而,行为意向并没有调节社会影响和努力期望对实际使用的间接影响。 此外,COVID-19 和情商的影响也没有影响便利条件与实际使用之间的关系。 这些发现为理解教育技术(尤其是在全球危机情况下)提供了有价值的信息,并为教育工作者、立法者和学术机构提供了实用的建议,以提高学生的参与度、支持度和总体幸福感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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