Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…

As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…

A new kind of reading platform supported by ChatGPT has quickly become a popular research assistant among students due to its instant natural language interaction and question-answering capabilities. This study explored the effects of ChatGPT-based reading platform on student's foreign language paper reading. A total of 64 undergraduate students…

This study leverages the Stimulus-Organism-Response (S-O-R) framework to investigate the effects of teacher and technical support (TCHS) on learners' willingness to communicate (WTC) in artificial intelligence (AI)-enhanced English as a foreign language (EFL) contexts, considering the mediating effects of learners' artificial intelligence literacy…

This paper delves into the theoretical dimensions of metacognition, exploring how learners' awareness of their learning strategies and thought processes impacts language acquisition. Metacognition, or the awareness and regulation of one's own cognitive processes, plays a pivotal role in language learning by empowering learners to navigate the…

The study investigates the effects of AI-enhanced multi-display language teaching systems on English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest random assignment experimental design, the research involved 302 EFL students aged 19 to 28 in a higher education setting. The study examines the effects of AI-powered virtual…

The effectiveness of generative AI tools in education depends largely on prompt engineering--the practice of designing inputs and interactions that guide AI systems to produce relevant, high-quality outputs. This systematic literature review examines empirical studies published since the release of ChatGPT in late 2022, identifying two broad…

Immersive learning plays a crucial role in effective second language (L2) acquisition, but many learners face limited opportunities to interact with native speakers. While existing research highlights the importance of immersion in L2 learning, there is still a gap in understanding how Generative AI (GenAI) can provide greater access to such…

Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…

Construct validity and building validity arguments are some of the main challenges facing the language assessment community. The notion of construct validity and validity arguments arose from research in psychological assessment and developed into the gold standard of validation/validity research in language assessment. At a theoretical level,…

Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…

Our research investigated the integration of artificial intelligence in education (AIEd), focusing on Indonesian university students' perspectives. A quantitative survey design was based on the Technology Acceptance Model (TAM), a framework focused on perceived usefulness, modified by adding items related to affective aspects: interest, needs,…

The landscape of English Language Teaching (ELT) has evolved significantly over the past 75 years, marked by major shifts in theoretical, technological, and sociocultural approaches to language teaching and learning. From the dominance of behaviorist methods in the mid-20th century to today's innovations in digital, tech-mediated language…

Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…

Rapid Automatic Naming (RAN) has been widely recognized as a reliable predictor of reading proficiency. Although RAN represents the speed of cognitive processing, there are few studies that have addressed RAN as a cognitive process in its own right Furthermore, RAN performance of ELL (English Language Learners) has been less frequently…