VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

The article investigated how the inclusion of loanwords in vocabulary size tests affected the test scores of two L1 groups of EFL learners: Hebrew and Japanese. New BNC- and COCA-based vocabulary size tests were constructed in three modalities: word form recall, word form recognition, and word meaning recall. Depending on the test modality, the…

The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…

The aim of this study was to find ways to improve online reading and vocabulary learning. Various new types of online reading comprehension and vocabulary development programs and tests were compared in this study to consider how useful they may be for guiding individual or classroom L2 vocabulary instruction. It explored how these programs seek…

Investigates the performance of students from different language backgrounds, using data from a computer-adaptive Japanese grammar test developed as a placement tool. Findings indicate item difficulties to be quite different for each group of candidates and imply that when candidates are from a different background from that of the trial…