{"id":2379,"date":"2024-09-30T09:00:00","date_gmt":"2024-09-30T09:00:00","guid":{"rendered":"https:\/\/atras-univ-saida.dz\/en\/?p=2379"},"modified":"2025-01-30T19:10:48","modified_gmt":"2025-01-30T19:10:48","slug":"artificial-intelligence-applications-in-higher-education-an-exploratory-study-of-professors-in-economic-sciences-at-the-university-of-medea","status":"publish","type":"post","link":"https:\/\/atras-univ-saida.dz\/en\/?p=2379","title":{"rendered":"Article 35 Issue 03 Vol 5 September 2024"},"content":{"rendered":"\n

Artificial Intelligence Applications in Higher Education: An Exploratory Study of Professors in Economic Sciences at the University of M\u00e9d\u00e9a<\/strong><\/h1><\/div><\/div>\n\n\n\n

Warda<\/strong> MOUSSAOUI<\/strong>
University of M\u00e9d\u00e9a, Algeria
moussaoui.warda@univ-medea.dz<\/a>
https:\/\/orcid.org\/0000-0001-5354-427X
Imane HAYOULA<\/strong>
University of M\u00e9d\u00e9a, Algeria.
hayoula.imane@univ-medea.dz<\/a>
https:\/\/orcid.org\/0009-0003-8460-2921<\/a><\/p><\/div><\/div>\n\n\n\n

Abstract<\/strong><\/p><\/div><\/div>\n\n\n\n

This study aims to measure the level of artificial intelligence technology usage in higher education among university professors at the Faculty of Economic Sciences, Commercial Sciences, and Management Sciences at the University of M\u00e9d\u00e9a. Using a descriptive-analytical approach, a survey was conducted with a sample of 71 professors, and the data was analyzed using SPSS statistical software. The findings revealed a moderate level of artificial intelligence usage, with an average score of 79.23. The main challenges identified were insufficient technical support and inadequate training. An independent samples t-test showed no significant differences in AI usage between male and female professors, nor across different levels of experience. The study recommends enhancing training programs, improving technical support, and fostering a culture of technological adoption.<\/p><\/div><\/div>\n\n\n\n

Keywords:<\/strong> Artificial intelligence applications, higher education, university professors, Faculty of Economic Sciences, University of M\u00e9d\u00e9a<\/p><\/div><\/div>\n\n\n

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DOI:<\/strong>
https:\/\/doi.org\/10.70091\/atras\/AI.35<\/strong><\/h1><\/div><\/div>\n\n\n\n

How to Cite this Paper :<\/strong><\/strong> <\/p><\/div><\/div>\n\n\n\n

Moussaoui, W., & Hayoula, I. (2024). Artificial Intelligence Applications in Higher Education: An Exploratory Study of Professors in Economic Sciences at the University of M\u00e9d\u00e9a. Atras Journal, 5<\/em>(Special Issue), 557-575<\/p><\/div><\/div>\n\n\n\n

References<\/strong>:<\/p><\/div><\/div>\n\n\n\n

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Copyright for all articles published in ATRAS <\/strong>belongs to the author. The authors also grant permission to the publisher to publish, reproduce, distribute, and transmit the articles. ATRAS <\/strong>publishes accepted papers under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. Authors submitting papers for publication in ATRAS <\/strong>agree to apply the CC BY-NC 4.0 license to their work. For non-commercial purposes, anyone may copy, redistribute material, remix, transform, and construct material in any media or format, provided that the terms of the license are observed and the original source is properly cited.<\/p><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence applications, higher education, university professors, Faculty of Economic Sciences, University of M\u00e9d\u00e9a<\/p>\n","protected":false},"author":2,"featured_media":2246,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[408],"tags":[528,529,119,531,530],"class_list":["post-2379","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-vol-05-n03-2024","tag-artificial-intelligence-applications","tag-faculty-of-economic-sciences","tag-higher-education","tag-university-of-medea","tag-university-professors"],"gutentor_comment":0,"yoast_head":"\nArticle 35 Issue 03 Vol 5 September 2024 - ATRAS journal<\/title>\n<meta name=\"description\" content=\"Artificial intelligence applications, higher education, university professors, Faculty of Economic Sciences, University of M\u00e9d\u00e9a This study aims to measure the level of artificial intelligence technology usage in higher education among university professors at the Faculty of Economic Sciences, Commercial Sciences, and Management Sciences at the University of M\u00e9d\u00e9a. Using a descriptive-analytical approach, a survey was conducted with a sample of 71 professors, and the data was analyzed using SPSS statistical software. The findings revealed a moderate level of artificial intelligence usage, with an average score of 79.23. The main challenges identified were insufficient technical support and inadequate training. An independent samples t-test showed no significant differences in AI usage between male and female professors, nor across different levels of experience. 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The study recommends enhancing training programs, improving technical support, and fostering a culture of technological adoption.","og_url":"https:\/\/atras-univ-saida.dz\/en\/?p=2379","og_site_name":"ATRAS journal","article_publisher":"https:\/\/www.facebook.com\/p\/ATRAS-journal-100083161450894\/","article_published_time":"2024-09-30T09:00:00+00:00","article_modified_time":"2025-01-30T19:10:48+00:00","og_image":[{"width":437,"height":565,"url":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","type":"image\/png"}],"author":"atras","twitter_card":"summary_large_image","twitter_title":"Artificial Intelligence Applications in Higher Education: An Exploratory Study of Professors in Economic Sciences at the University of M\u00e9d\u00e9a","twitter_description":"This study aims to measure the level of artificial intelligence technology usage in higher education among university professors at the Faculty of Economic Sciences, Commercial Sciences, and Management Sciences at the University of M\u00e9d\u00e9a. Using a descriptive-analytical approach, a survey was conducted with a sample of 71 professors, and the data was analyzed using SPSS statistical software. The findings revealed a moderate level of artificial intelligence usage, with an average score of 79.23. The main challenges identified were insufficient technical support and inadequate training. An independent samples t-test showed no significant differences in AI usage between male and female professors, nor across different levels of experience. The study recommends enhancing training programs, improving technical support, and fostering a culture of technological adoption.","twitter_image":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","twitter_misc":{"Written by":"atras","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#article","isPartOf":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379"},"author":{"name":"atras","@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/person\/ad5e6fcff0b37638480b00e92868cd64"},"headline":"Article 35 Issue 03 Vol 5 September 2024","datePublished":"2024-09-30T09:00:00+00:00","dateModified":"2025-01-30T19:10:48+00:00","mainEntityOfPage":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379"},"wordCount":1281,"publisher":{"@id":"https:\/\/atras-univ-saida.dz\/en\/#organization"},"image":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#primaryimage"},"thumbnailUrl":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","keywords":["Artificial intelligence applications","Faculty of Economic Sciences","Higher education","University of M\u00e9d\u00e9a","university professors"],"articleSection":["Vol 05 N03 2024"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379","url":"https:\/\/atras-univ-saida.dz\/en\/?p=2379","name":"Article 35 Issue 03 Vol 5 September 2024 - ATRAS journal","isPartOf":{"@id":"https:\/\/atras-univ-saida.dz\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#primaryimage"},"image":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#primaryimage"},"thumbnailUrl":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","datePublished":"2024-09-30T09:00:00+00:00","dateModified":"2025-01-30T19:10:48+00:00","description":"Artificial intelligence applications, higher education, university professors, Faculty of Economic Sciences, University of M\u00e9d\u00e9a This study aims to measure the level of artificial intelligence technology usage in higher education among university professors at the Faculty of Economic Sciences, Commercial Sciences, and Management Sciences at the University of M\u00e9d\u00e9a. Using a descriptive-analytical approach, a survey was conducted with a sample of 71 professors, and the data was analyzed using SPSS statistical software. The findings revealed a moderate level of artificial intelligence usage, with an average score of 79.23. The main challenges identified were insufficient technical support and inadequate training. An independent samples t-test showed no significant differences in AI usage between male and female professors, nor across different levels of experience. The study recommends enhancing training programs, improving technical support, and fostering a culture of technological adoption.","breadcrumb":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atras-univ-saida.dz\/en\/?p=2379"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#primaryimage","url":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","contentUrl":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","width":437,"height":565},{"@type":"BreadcrumbList","@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2379#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/atras-univ-saida.dz\/en\/"},{"@type":"ListItem","position":2,"name":"Article 35 Issue 03 Vol 5 September 2024"}]},{"@type":"WebSite","@id":"https:\/\/atras-univ-saida.dz\/en\/#website","url":"https:\/\/atras-univ-saida.dz\/en\/","name":"ATRAS journal","description":"ATRAS is a double-blind, peer-reviewed, and multidisciplinary journal issued by the Faculty of Letters, Languages, and Arts, Saida University","publisher":{"@id":"https:\/\/atras-univ-saida.dz\/en\/#organization"},"alternateName":"ATRAS journal","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atras-univ-saida.dz\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/atras-univ-saida.dz\/en\/#organization","name":"ATRAS journal","alternateName":"ATRAS is a double-blind, peer-reviewed, and multidisciplinary journal issued by the Faculty of Letters, Languages, and Arts, Saida University","url":"https:\/\/atras-univ-saida.dz\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/logo\/image\/","url":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/05\/logo-512x512-1.png","contentUrl":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/05\/logo-512x512-1.png","width":512,"height":512,"caption":"ATRAS journal"},"image":{"@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/p\/ATRAS-journal-100083161450894\/"]},{"@type":"Person","@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/person\/ad5e6fcff0b37638480b00e92868cd64","name":"atras","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/607d3e9ced6ad1403645c0d9854f1d33abaeefbd7fecc154ab8216f3dd005418?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/607d3e9ced6ad1403645c0d9854f1d33abaeefbd7fecc154ab8216f3dd005418?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/607d3e9ced6ad1403645c0d9854f1d33abaeefbd7fecc154ab8216f3dd005418?s=96&d=mm&r=g","caption":"atras"},"url":"https:\/\/atras-univ-saida.dz\/en\/?author=2"}]}},"_links":{"self":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts\/2379","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2379"}],"version-history":[{"count":2,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts\/2379\/revisions"}],"predecessor-version":[{"id":2574,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts\/2379\/revisions\/2574"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/media\/2246"}],"wp:attachment":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2379"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2379"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}