Students’ Voices in the Digital Era: Expectations and Perceptions of Data Literacy Competence

As technology reshapes the educational landscape, students’ expectations regarding their teachers’ data literacy competence have become increasingly important in shaping the effectiveness of foreign language education. This study explores university students’ perceptions of the role of data literacy in foreign language teaching, investigating how students expect their instructors to integrate data-driven methodologies, AI tools, and digital resources into language learning. By using a combination of quantitative questionnaires and qualitative interviews, the study identifies key areas where students feel teachers’ data literacy should be enhanced, including personalized learning, digital assessment, and the use of artificial intelligence. The findings highlight a significant demand for teachers to develop not only technical data skills but also the ability to apply these skills in fostering engaging and efficient language learning environments. The paper concludes with recommendations for aligning teacher development programs with student expectations in the digital age.

Authors

Publication Details

Journal
Journal of Education Teaching and Social Studies
Published
2025-03-17
DOI
https://doi.org/10.22158/jetss.v7n2p1
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Students’ Voices in the Digital Era: Expectations and Perceptions of Data Literacy Competence

Lu Xiao
Journal of Education Teaching and Social Studies
Data Quality and Management
article

Students’ Voices in the Digital Era: Expectations and Perceptions of Data Literacy Competence

Lu Xiao
article en

Abstract

As technology reshapes the educational landscape, students’ expectations regarding their teachers’ data literacy competence have become increasingly important in shaping the effectiveness of foreign language education. This study explores university students’ perceptions of the role of data literacy in foreign language teaching, investigating how students expect their instructors to integrate data-driven methodologies, AI tools, and digital resources into language learning. By using a combination of quantitative questionnaires and qualitative interviews, the study identifies key areas where students feel teachers’ data literacy should be enhanced, including personalized learning, digital assessment, and the use of artificial intelligence. The findings highlight a significant demand for teachers to develop not only technical data skills but also the ability to apply these skills in fostering engaging and efficient language learning environments. The paper concludes with recommendations for aligning teacher development programs with student expectations in the digital age.

Journal of Education Teaching and Social StudiesVol. 7(2)
Openalex Percentile: Top 95%
Data Quality and Management
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