There is growing literature on computerized dynamic assessment (C-DA) wherein individual items are accompanied by mediating prompts, but its effectiveness at fine-grained levels across time has not been explored sufficiently. This study constructed a computerized listening dynamic assessment (CLDA) system, where mediation was informed by an…

Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…

Children's ability to learn words with multiple meanings may be hindered by their adherence to a one-to-one form-to-meaning mapping bias. Previous research on children's learning of a novel meaning for a familiar word (sometimes called a "pseudohomophone") has yielded mixed results, suggesting a range of factors that may impact when…

The present study investigated the effects of text-based and audio-based dynamic glosses on L2 vocabulary learning within a sociocultural approach. Dynamic glosses were operationalised as a set of incrementally ordered prompts, provided during text-based and audio-based interactions that guided the participants to identify the meaning of unknown…

Dyslexia is a Specific Learning Difficulty that impacts on reading and writing abilities. During the COVID-19 pandemic, medical schools have been forced to undertake distance learning and assessment. The wider literature suggested that e-learning might pose additional challenges for dyslexic students. Here we explore their overall experiences of…

The acquisition of a new morphological rule can be influenced by numerous factors, including the type of feedback provided during learning. The present study aimed to test the effect of different feedback types on children's ability to learn and generalize an artificial morphological rule (AMR). Two groups of eight-year-olds learned to judge and…

Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy. Both the educational measurement and language assessment communities have called for greater transparency in describing…

Research examining test taker fluency in simulated and face-to-face oral proficiency interview performances has primarily focused on quantitative spoken utterance fluency data alone, with further qualitative investigation of test taker processing fluency's effect being neglected. This study compared four test takers' spoken utterance and…

This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…

Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…

Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…

As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…

The purpose of this study was to compare traditional oral reading fluency (ORF) measures to a computerized oral reading evaluation (CORE) system that uses speech recognition software. We applied a mixed model approach with two within-subject variables to test the mean WCPM score differences and the error rates between: passage length (25, 50, 85,…

Recent evolutions, such as pervasive networking and other enabling technologies, have been increasingly changing human life, knowledge acquisition, and the way works are performed and students learn. In this societal change, educational institutions must maintain their leading role. They have therefore embraced digitally enhanced learning to…

The scoring of constructed responses may introduce construct-irrelevant factors to a test score and affect its validity and fairness. Fatigue is one of the factors that could negatively affect human performance in general, yet little is known about its effects on a human rater's scoring quality on constructed responses. In this study, we compared…