ASSESSING DISTANCE LEARNING IN A DIGITAL ENVIRONMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW.
Saved in:
| Title: | ASSESSING DISTANCE LEARNING IN A DIGITAL ENVIRONMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW. |
|---|---|
| Authors: | Ebrahim, Omar Oulad1 ouladebrahim.omar@etu.uae.ac.ma, El Mhouti, Abderrahim1, Allaoui, Mostafa2 |
| Source: | Journal of Educators Online. Jan2026, Vol. 23 Issue 1, p1-33. 33p. |
| Subject Terms: | *Artificial intelligence, *Educational evaluation, *Distance education, *Education ethics, Digital technology |
| Abstract: | Distance learning student assessment in a digital environment in the age of artificial intelligence offers significant opportunities but presents challenges, mainly related to the credibility and validity of the assessments, particularly in postsecondary education. The aim of this article is to examine studies on the assessment of learning in digital environments in the era of artificial intelligence conducted between 2020 and 2024, to provide an overview of the state of the field. The study identified five key themes reflecting the major concerns of researchers: 1) academic integrity, 2) integration and adaptability of digital technologies, 3) impact of artificial intelligence, 4) pedagogical alignment, and 5) interactions and feedback. The results indicate that academic integrity is linked to two distinct approaches: prevention and detection. Both strategies require the adaptability of integrated digital technologies. The study also shows that the rapid development of artificial intelligence and its increased use by students raises concerns about its potential impact on distance assessment. Furthermore, the studies reviewed highlight the importance of maintaining pedagogical alignment and encouraging immediate and meaningful feedback. This overall understanding of the major concerns of teachers and designers could be taken into account in any assessment strategy aimed at improving the quality of distance assessment. Finally, the results of the present study provide insights into the major concerns of researchers that can be used in future research concerning the issue of distance assessment in the AI era. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Educators Online is the property of Journal of Educators Online and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 191342978 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: ASSESSING DISTANCE LEARNING IN A DIGITAL ENVIRONMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ebrahim%2C+Omar+Oulad%22">Ebrahim, Omar Oulad</searchLink><relatesTo>1</relatesTo><i> ouladebrahim.omar@etu.uae.ac.ma</i><br /><searchLink fieldCode="AR" term="%22El+Mhouti%2C+Abderrahim%22">El Mhouti, Abderrahim</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Allaoui%2C+Mostafa%22">Allaoui, Mostafa</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Educators+Online%22">Journal of Educators Online</searchLink>. Jan2026, Vol. 23 Issue 1, p1-33. 33p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+evaluation%22">Educational evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Distance+education%22">Distance education</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+ethics%22">Education ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Distance learning student assessment in a digital environment in the age of artificial intelligence offers significant opportunities but presents challenges, mainly related to the credibility and validity of the assessments, particularly in postsecondary education. The aim of this article is to examine studies on the assessment of learning in digital environments in the era of artificial intelligence conducted between 2020 and 2024, to provide an overview of the state of the field. The study identified five key themes reflecting the major concerns of researchers: 1) academic integrity, 2) integration and adaptability of digital technologies, 3) impact of artificial intelligence, 4) pedagogical alignment, and 5) interactions and feedback. The results indicate that academic integrity is linked to two distinct approaches: prevention and detection. Both strategies require the adaptability of integrated digital technologies. The study also shows that the rapid development of artificial intelligence and its increased use by students raises concerns about its potential impact on distance assessment. Furthermore, the studies reviewed highlight the importance of maintaining pedagogical alignment and encouraging immediate and meaningful feedback. This overall understanding of the major concerns of teachers and designers could be taken into account in any assessment strategy aimed at improving the quality of distance assessment. Finally, the results of the present study provide insights into the major concerns of researchers that can be used in future research concerning the issue of distance assessment in the AI era. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Educators Online is the property of Journal of Educators Online and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191342978 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 1 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Educational evaluation Type: general – SubjectFull: Distance education Type: general – SubjectFull: Education ethics Type: general – SubjectFull: Digital technology Type: general Titles: – TitleFull: ASSESSING DISTANCE LEARNING IN A DIGITAL ENVIRONMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ebrahim, Omar Oulad – PersonEntity: Name: NameFull: El Mhouti, Abderrahim – PersonEntity: Name: NameFull: Allaoui, Mostafa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1547500X Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Journal of Educators Online Type: main |
| ResultId | 1 |
