Key research themes
1. How can technology and digital tools improve the development and delivery of sign language assessments?
This theme investigates the integration of Information and Communication Technologies (ICT), computer-assisted language testing, and open-source software in creating, delivering, and managing sign language assessments. Given the visual-spatial nature of sign languages and challenges such as limited corpus data, lexical variation, and the need for interaction, this research explores how digital platforms and technologies can address methodological challenges, facilitate reliable delivery formats, enable multimedia presentation, and support automated or semi-automated assessment procedures.
2. What psychometric and methodological approaches ensure the reliability, validity, and cultural appropriateness of sign language assessments?
This theme addresses the challenges of establishing valid and reliable sign language assessments given the limited documentation, small and heterogeneous populations, modality-specific linguistic features, and cross-linguistic and cultural differences across sign languages. Research centers on test adaptation, including translation versus adaptation tensions, evaluation of psychometric properties, and distinguishing clinical assessment needs from educational or research purposes. It also considers the importance of baseline norms, age of acquisition impacts, and specific challenges in rating sign production and comprehension.
3. How do linguistic and acquisition factors shape sign language learning and assessment outcomes?
This research theme explores the linguistic structure of sign languages, age and modality of acquisition effects, and cross-linguistic influences on second language sign acquisition. It investigates how sign language lexicons are organized, the influence of iconicity and phonology, and learner typologies (e.g., L2M1 vs. L2M2). The impact of age of first exposure is critically examined in assessment contexts, acknowledging the implications for educational and clinical evaluation. This knowledge informs test design, normative baselines, and instructional practices.






