Previous studies examined the association between motivational characteristics and language learning achievement, but considerably less is known about young language learners' task-specific motivation in assessment contexts. Our study investigated the task motivation of young learners of English when completing computer-administered integrated…

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…

We investigated how young language learners process their responses on and perceive a computer-mediated, timed speaking test. Twenty 8-, 9-, and 10-year-old non-native English-speaking children (NNSs) and eight same-aged, native English-speaking children (NSs) completed seven computerized sample TOEFL® Primary™ speaking test tasks. We investigated…

Despite calls for engaging assessments targeting young language learners (YLLs) between 8 and 13 years old, what makes assessment tasks engaging and how such task characteristics affect measurement quality have not been well studied empirically. Furthermore, there has been a dearth of validity research about technology-enhanced speaking tests for…