Effects of nonlinear dynamic online assessment model on language learners' learning outcomes and cognitive load

This study investigates the differential impacts of various online language assessment models-specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment-on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted language learning (CALL) environments. Utilizing a mixed-methods research design, this investigation engaged 83 EFL learners to provide a holistic understanding of how these distinct assessment approaches influence learner performance and psychological experience. Methodological triangulation, combining quantitative data analysis through one-way ANOVA with qualitative insights, revealed the NDICLA model's distinctive capacity to mitigate cognitive load while concurrently enhancing CALL learning outcomes. Central to the research objectives, the study underscores the importance of aligning assessment strategies with learners' individual psycho-socio-cultural backgrounds and linguistic proficiencies. By segmenting learners into subgroups, the research facilitated the creation of personalized instructional plans and assessments predicated on the NDICLA framework. This approach not only adheres to the principles of differentiated learning but also maximizes the pedagogical effectiveness of language assessments in CALL contexts. Theoretically, the findings offer robust support for the NDICLA model as a dynamic and learner-centered assessment tool. Unlike traditional static assessment methods, NDICLA's adaptability allows it to accurately reflect and respond to the evolving nature of learners' capabilities. The empirical evidence presented in this study highlights NDICLA's role in fostering significant improvements in both CALL learning outcomes and cognitive load management, thereby contributing valuable insights into the ongoing discourse on optimizing language assessment methodologies for EFL learners.