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

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.

Authors

Institutions

Publication Details

Journal
Language Testing in Asia
Published
2024-12-01
DOI
https://doi.org/10.1186/s40468-024-00334-9
Citations
4
Primary Topic
Educational and Psychological Assessments
Type
article
Field-Weighted Citation Impact
3.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Alaa Aladini, Abeer Ahmed Hammad Ali, Rashed Mahmud
4 citations
Language Testing in Asia
Educational and Psychological Assessments
3.16
article

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

Alaa Aladini, Abeer Ahmed Hammad Ali, Rashed Mahmud
article en
4 citations

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.

Language Testing in AsiaVol. 14(1)
Taibah University (SA), Dhaka International University (BD), Dhofar University (OM), Sohag University (EG)
Quality Education
Openalex Percentile: Top 8%
Educational and Psychological Assessments
3.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.