The Blue Sky of AI-Assisted Language Assessment: Autonomy, Academic Buoyancy, Psychological Well-Being, and Academic Success Are Involved
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| Title: | The Blue Sky of AI-Assisted Language Assessment: Autonomy, Academic Buoyancy, Psychological Well-Being, and Academic Success Are Involved |
|---|---|
| Language: | English |
| Authors: | Mohamad Ahmad Saleem Khasawneh (ORCID |
| Source: | Language Testing in Asia. 2024 14. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 20 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health, Computer Assisted Instruction, Private Education, Second Language Learning, Second Language Instruction, Student Attitudes, Rating Scales, Factor Analysis, Correlation, Foreign Countries, Educational Change, Teaching Methods, Well Being, Academic Achievement, English (Second Language) |
| Geographic Terms: | Saudi Arabia |
| DOI: | 10.1186/s40468-024-00318-9 |
| ISSN: | 2229-0443 |
| Abstract: | Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental well-being as the fundamental components of education. The key goal of this investigation was to investigate the relationships between learner autonomy (LA), academic buoyancy (AB), psychological well-being (PW), and academic success (AS) in Intelligent Computer-Assisted Language Assessment (ICALA). The current study was conducted on a cohort of 391 students registered in courses at private language institutions in Al-Kharj, Saudi Arabia, who were at the intermediate proficiency level. The following instruments were administered: the Academic Buoyancy Scale, the learner autonomy instrument, the learner psychological well-being, and the academic assessment. Then, to evaluate data and quantify the interaction between LA, AB, PW, and AS, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were applied. The findings underscored the significance of LA and AB in achieving a balance in the PW of EFL pupils, particularly when utilizing ICALA for language acquisition. Additionally, the instructional implications of this study and potential avenues for future research are extensively investigated. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1444799 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1444799 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Blue Sky of AI-Assisted Language Assessment: Autonomy, Academic Buoyancy, Psychological Well-Being, and Academic Success Are Involved – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mohamad+Ahmad+Saleem+Khasawneh%22">Mohamad Ahmad Saleem Khasawneh</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-1390-3765">0000-0002-1390-3765</externalLink>)<br /><searchLink fieldCode="AR" term="%22Sayed+M%2E+Ismail%22">Sayed M. Ismail</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-6698-006X">0000-0002-6698-006X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Negash+Hussen%22">Negash Hussen</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-6076-0808">0000-0002-6076-0808</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Language+Testing+in+Asia%22"><i>Language Testing in Asia</i></searchLink>. 2024 14. – Name: Avail Label: Availability Group: Avail Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 20 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+Autonomy%22">Personal Autonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+Health%22">Mental Health</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Private+Education%22">Private Education</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Rating+Scales%22">Rating Scales</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+Analysis%22">Factor Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Change%22">Educational Change</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Saudi+Arabia%22">Saudi Arabia</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1186/s40468-024-00318-9 – Name: ISSN Label: ISSN Group: ISSN Data: 2229-0443 – Name: Abstract Label: Abstract Group: Ab Data: Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental well-being as the fundamental components of education. The key goal of this investigation was to investigate the relationships between learner autonomy (LA), academic buoyancy (AB), psychological well-being (PW), and academic success (AS) in Intelligent Computer-Assisted Language Assessment (ICALA). The current study was conducted on a cohort of 391 students registered in courses at private language institutions in Al-Kharj, Saudi Arabia, who were at the intermediate proficiency level. The following instruments were administered: the Academic Buoyancy Scale, the learner autonomy instrument, the learner psychological well-being, and the academic assessment. Then, to evaluate data and quantify the interaction between LA, AB, PW, and AS, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were applied. The findings underscored the significance of LA and AB in achieving a balance in the PW of EFL pupils, particularly when utilizing ICALA for language acquisition. Additionally, the instructional implications of this study and potential avenues for future research are extensively investigated. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1444799 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1444799 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s40468-024-00318-9 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 20 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Personal Autonomy Type: general – SubjectFull: Mental Health Type: general – SubjectFull: Computer Assisted Instruction Type: general – SubjectFull: Private Education Type: general – SubjectFull: Second Language Learning Type: general – SubjectFull: Second Language Instruction Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Rating Scales Type: general – SubjectFull: Factor Analysis Type: general – SubjectFull: Correlation Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Educational Change Type: general – SubjectFull: Teaching Methods Type: general – SubjectFull: Well Being Type: general – SubjectFull: Academic Achievement Type: general – SubjectFull: English (Second Language) Type: general – SubjectFull: Saudi Arabia Type: general Titles: – TitleFull: The Blue Sky of AI-Assisted Language Assessment: Autonomy, Academic Buoyancy, Psychological Well-Being, and Academic Success Are Involved Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohamad Ahmad Saleem Khasawneh – PersonEntity: Name: NameFull: Sayed M. Ismail – PersonEntity: Name: NameFull: Negash Hussen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2229-0443 Numbering: – Type: volume Value: 14 Titles: – TitleFull: Language Testing in Asia Type: main |
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