The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

Vocabulary researchers have started expanding their assessment toolbox by incorporating timed tasks and psycholinguistic instruments (e.g., priming tasks) to gain insights into lexical development (e.g., Elgort, 2011; Godfroid, 2020b; Nakata & Elgort, 2020; Vandenberghe et al., 2021). These timed sensitive and implicit word measures differ…

The current study compared the effectiveness of computer-delivered task-essential practice coupled with feedback consisting of (1) negative evidence with metalinguistic information (NE+MI) or (2) negative evidence without metalinguistic information (NE-MI) in promoting absolute beginners' (n = 58) initial learning of aspects of Latin…

The purpose of this study was to test a specific hypothesis with regard to how cloze retrieval takes place once semantic constraints are recognized. Results from human subjects and computer simulation suggested that increase in latency between the two- and three-semantic-constraint conditions was not artifactual. (JAZ)