We’re thrilled to shine the spotlight on a recent research work that stands at the confluence of technology, education, and content analysis. The recent publication, ‘Test takers’ attitudes of using exam‐oriented mobile application as a tool to adapt in a high‐stakes speaking test’,  has provided invaluable insights into evolving landscape of educational technology. The study delves into the perceptions, challenges, and benefits as seen through the eyes of the learners themselves, providing a comprehensive understanding of the impact such technologies have on the educational experience.

We extend our heartfelt congratulations to Qianru Li and Kan Kan Chan on their remarkable contributions to the field of Mobile-assisted Language Learning (MALL), a domain where research opportunities are vast yet underexplored. This article has been indexed in Education and Information Technologies, the official journal of the IFIP Technical Committee on Education, published by Springer. In this research, DiVoMiner was instrumental, leveraging its advanced capabilities to perform sentiment analysis from the open-ended survey responses. The use of DiVoMiner, underscores the growing importance of AI-powered analysis in educational research, providing a template for future studies to explore the vast potential of technology in enhancing learning outcomes.

Link to the article: https://link.springer.com/article/10.1007/s10639-023-12297-0

Citation: Li, Q., & Chan, K. K. (2024). Test takers’ attitudes of using exam-oriented mobile application as a tool to adapt in a high-stakes speaking test. Education and Information Technologies29(1), 219-237.