Abstract

In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. Despite its growing importance, there is a scarcity of research investigating the connections among needs satisfaction, teacher support, L2 learning experience, willingness to communicate, and academic motivation—factors that play a crucial role in students’ academic performance in this context. This study addressed the lack of knowledge by examining the impact of needs satisfaction and teacher support among Omani students enrolled in English as a foreign language (EFL) classes. The structural equation modeling data via SMART PLS revealed a positive correlation between needs satisfaction, L2 learning experience, increased willingness to communicate, and academic motivation in ICALA. Furthermore, teacher support positively impacted willingness to communicate, academic motivation, and L2 learning experience. The results facilitate fostering needs satisfaction and teacher support in ICALA and contribute to our understanding of the connections between these variables. A more in-depth discussion is held regarding the significance of the study for educational practices.

Details

Title
The importance of needs satisfaction, teacher support, and L2 learning experience in Intelligent Computer-Assisted Language Assessment (ICALA): a probe into the state of willingness to communicate as well as academic motivation in EFL settings
Author
Aladini, Alaa 1   VIAFID ORCID Logo  ; Mahmud, Rashed 2   VIAFID ORCID Logo  ; Ali, Abeer Ahmed Hammad 3   VIAFID ORCID Logo 

 Dhofar University, Department of Education, College of Arts and Applied Sciences, Salalah, Oman (GRID:grid.444761.4) (ISNI:0000 0004 0368 3820) 
 Dhaka International University, Department of English, Dhaka, Bangladesh (GRID:grid.442993.1) 
 Taibah University, Madinah, Saudi Arabia and Sohag University, Sohag, Egypt (GRID:grid.412659.d) (ISNI:0000 0004 0621 726X) 
Pages
58
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
e-ISSN
22290443
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3134415806
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.