Developing prospective teachers’ language assessment literacy through courses: a comparative case study in Chinese as a second language teaching environment

Abstract Language assessment literacy (LAL) ensures the appropriate design, implementation, and utilization of various language assessments (Taylor 2009). Taking language assessment courses (LACs) is a common approach to foster LAL, particularly among prospective language teachers, as previous research has explored. However, limited studies have compared LACs with different focuses. This study addresses this question by examining two cases of LACs for post-graduate students in a Chinese university preparing to become Chinese as a second language (CSL) teachers. These two courses, differing in purpose and target audience (teaching-oriented and research-oriented), are both introductory courses for beginners learning about language assessment. Drawing on Taylor’s (2013) model and Kremmel and Harding’s (2020) questionnaire, we investigated graduate students’ perceptions regarding their development of LAL in the respective courses, combining observation, questionnaires, and interviews. The findings reveal that students perceived a comprehensive improvement in their LAL levels, with the item-writing session regarded as particularly beneficial and applicable. Despite the challenges posed by theoretical concepts and the involvement of statistics, the students considered that a general LAC was insufficient and further learning opportunities were needed. The study emphasizes updating the need analysis and practice-based design of LACs.

Authors

Institutions

Publication Details

Journal
Chinese as a Second Language Research
Published
2025-05-01
DOI
https://doi.org/10.1515/caslar-2025-0001
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing prospective teachers’ language assessment literacy through courses: a comparative case study in Chinese as a second language teaching environment

Xiaozhu Wang, Jimin Wang
2 links
Chinese as a Second Language Research
Student Assessment and Feedback
article

Developing prospective teachers’ language assessment literacy through courses: a comparative case study in Chinese as a second language teaching environment

Xiaozhu Wang, Jimin Wang
article en

Abstract

Abstract Language assessment literacy (LAL) ensures the appropriate design, implementation, and utilization of various language assessments (Taylor 2009). Taking language assessment courses (LACs) is a common approach to foster LAL, particularly among prospective language teachers, as previous research has explored. However, limited studies have compared LACs with different focuses. This study addresses this question by examining two cases of LACs for post-graduate students in a Chinese university preparing to become Chinese as a second language (CSL) teachers. These two courses, differing in purpose and target audience (teaching-oriented and research-oriented), are both introductory courses for beginners learning about language assessment. Drawing on Taylor’s (2013) model and Kremmel and Harding’s (2020) questionnaire, we investigated graduate students’ perceptions regarding their development of LAL in the respective courses, combining observation, questionnaires, and interviews. The findings reveal that students perceived a comprehensive improvement in their LAL levels, with the item-writing session regarded as particularly beneficial and applicable. Despite the challenges posed by theoretical concepts and the involvement of statistics, the students considered that a general LAC was insufficient and further learning opportunities were needed. The study emphasizes updating the need analysis and practice-based design of LACs.

Chinese as a Second Language ResearchVol. 14(1)
Beijing Language and Culture University (CN)
Openalex Percentile: Top 88%
Student Assessment and Feedback
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.