{"title":"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","authors":"Sara Samy Abbas Mohamed El-kholy","doi":"10.1007/s10639-024-12810-z","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":51494,"journal":{"name":"Education and Information Technologies","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\",\"authors\":\"Sara Samy Abbas Mohamed El-kholy\",\"doi\":\"10.1007/s10639-024-12810-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":51494,\"journal\":{\"name\":\"Education and Information Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Education and Information Technologies\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1007/s10639-024-12810-z\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Education and Information Technologies","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1007/s10639-024-12810-z","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
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
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.
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.