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 0000-0002-1390-3765), Sayed M. Ismail (ORCID 0000-0002-6698-006X), Negash Hussen (ORCID 0000-0002-6076-0808)
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
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  Data: The Blue Sky of AI-Assisted Language Assessment: Autonomy, Academic Buoyancy, Psychological Well-Being, and Academic Success Are Involved
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  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>)
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  Data: <searchLink fieldCode="SO" term="%22Language+Testing+in+Asia%22"><i>Language Testing in Asia</i></searchLink>. 2024 14.
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  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/
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  Data: <searchLink fieldCode="DE" term="%22Saudi+Arabia%22">Saudi Arabia</searchLink>
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  Data: 10.1186/s40468-024-00318-9
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  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.
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      – SubjectFull: Artificial Intelligence
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      – TitleFull: The Blue Sky of AI-Assisted Language Assessment: Autonomy, Academic Buoyancy, Psychological Well-Being, and Academic Success Are Involved
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