An intelligent system for providing academic advising and its impact on satisfaction and stress relief in the light of crises (COVID-19) among postgraduate students

IF 4.8 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Education and Information Technologies Pub Date : 2024-07-05 DOI:10.1007/s10639-024-12810-z
Sara Samy Abbas Mohamed El-kholy
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Abstract

This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine interpretation and data analysis can be used to deliver advising services anytime, anywhere. This system would eliminate the need for students to physically meet with advisors and could answer their academic-related inquiries throughout their studies. Additionally, the system could alleviate the burden on faculty advisors by automating the process of the follow-up with individual students, especially during times of crisis. The research employed a sample of 17 female students enrolled in the pre-master’s program at the Faculty of Women, Ain Shams University, during the academic year 2022. The researcher developed several measurement tools, namely, a satisfaction scale to gauge student satisfaction with the intelligent system and advising services, a stress-relief scale to assess student stress levels after using the system, and an experimental treatment material - the design of the intelligent system itself. The results demonstrated the effectiveness of the intelligent system in both increasing student satisfaction and reducing stress levels, particularly during times of crisis. Research limitations/implication: The limited sample size of this study may restrict the generalizability of the findings. Future research could explore the impact of intelligent academic advisors on students from diverse backgrounds to gain a more comprehensive understanding of their broader implications.

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提供学术指导的智能系统及其对研究生危机(COVID-19)的满意度和压力缓解的影响
本文探讨了人工智能(AI)在学术指导方面的潜力。具体来说,它探讨了如何利用人工智能驱动的机器解读和数据分析来随时随地提供指导服务。该系统将使学生无需亲自与顾问见面,并能在整个学习过程中回答他们与学业相关的问题。此外,该系统还能自动跟进个别学生的情况,尤其是在危机时刻,从而减轻教师顾问的负担。研究以艾因夏姆斯大学女子学院 2022 学年硕士预科班的 17 名女生为样本。研究人员开发了几种测量工具,分别是衡量学生对智能系统和咨询服务满意度的满意度量表、评估学生使用系统后压力水平的压力缓解量表,以及实验处理材料--智能系统本身的设计。结果表明,智能系统在提高学生满意度和降低压力水平方面都很有效,尤其是在危机时期。研究的局限性/意义:本研究的样本量有限,可能会限制研究结果的推广性。未来的研究可以探讨智能学业顾问对不同背景学生的影响,以更全面地了解其更广泛的意义。
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来源期刊
Education and Information Technologies
Education and Information Technologies EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
10.00
自引率
12.70%
发文量
610
期刊介绍: The Journal of Education and Information Technologies (EAIT) is a platform for the range of debates and issues in the field of Computing Education as well as the many uses of information and communication technology (ICT) across many educational subjects and sectors. It probes the use of computing to improve education and learning in a variety of settings, platforms and environments. The journal aims to provide perspectives at all levels, from the micro level of specific pedagogical approaches in Computing Education and applications or instances of use in classrooms, to macro concerns of national policies and major projects; from pre-school classes to adults in tertiary institutions; from teachers and administrators to researchers and designers; from institutions to online and lifelong learning. The journal is embedded in the research and practice of professionals within the contemporary global context and its breadth and scope encourage debate on fundamental issues at all levels and from different research paradigms and learning theories. The journal does not proselytize on behalf of the technologies (whether they be mobile, desktop, interactive, virtual, games-based or learning management systems) but rather provokes debate on all the complex relationships within and between computing and education, whether they are in informal or formal settings. It probes state of the art technologies in Computing Education and it also considers the design and evaluation of digital educational artefacts.  The journal aims to maintain and expand its international standing by careful selection on merit of the papers submitted, thus providing a credible ongoing forum for debate and scholarly discourse. Special Issues are occasionally published to cover particular issues in depth. EAIT invites readers to submit papers that draw inferences, probe theory and create new knowledge that informs practice, policy and scholarship. Readers are also invited to comment and reflect upon the argument and opinions published. EAIT is the official journal of the Technical Committee on Education of the International Federation for Information Processing (IFIP) in partnership with UNESCO.
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