As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…

This study investigated the unique role of nonverbal reasoning in early English word decoding for native Chinese-speaking children across three studies. In Study 1, 80 Grade 1 and 2 participants completed assessments including nonverbal reasoning tests, English pseudoword reading, Chinese character reading, Chinese phonological awareness (CPA),…

Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…

Computer science can be included in Early Childhood Education (ECE) through the use of block-based coding and robots. But this requires adequate preparation of ECE teachers to work with coding and robots, and integrate such into high quality lesson plans. In this paper, we investigate predictors of lesson plan quality among preservice, early…

A country's research output depends primarily on the number of research graduates churned out from its higher education institutions. These institutions work with some exogenous phenomena to produce research graduates. This study investigated the relationship between exogenous inputs and graduation rate in graduate research degree programs in two…

This study investigates vocational students' blended learning from the perspective of the extended Community of Inquiry framework (incorporating learning presence as the fourth presence), and examine the mediating role of academic self-efficacy and self-regulated learning (two constructs that we label "learning presence?) in the effect of…

Effective teaching practices are essential for enhancing classroom instruction and student learning. However, a comprehensive understanding of the factors influencing teachers' instructional practices remains elusive. This study employs machine learning (ML) to identify the most significant predictors influencing the instructional practices of…

This longitudinal study examines the interconnectedness of foreign language enjoyment (FLE), foreign language anxiety (FLA), and willingness to communicate (WTC) among English major students, while also exploring the predictive role of L2 grit in the hypothesized model. Utilising a cross-lagged panel design and structural equation modeling (SEM),…

Research on racial disproportionality in special education has exploded, in part due to federal accountability related to over- or under representation of specific racial groups. Some recent research shifts the focus from the role of student characteristics in predicting special education classification to inquire whether school context moderates.…

Background: Choosing a major involves the interplay of personal characteristics and contextual variables, two key elements of academic selection. The relationships between major choice (MC) and academic expectations (AEs) can highlight the processes evolved in the transition to higher education. We examined, across genders, the relationships…

Purpose: The purpose of this paper is to empirically investigate the impact of the contextual antecedents on the individual entrepreneurial orientation (IEO) of university graduates, which, in turn, affects their entrepreneurial intentions (EIs). Design/methodology/approach: Primary data were collected in the form of 510 valid responses from…

Purpose: Although the speech intelligibility index (SII) has been widely applied in the field of audiology and other related areas, application of this metric to cochlear implants (CIs) has yet to be investigated. In this study, SIIs for CI users were calculated to investigate whether the SII could be an effective tool for predicting speech…

This longitudinal study examined the effectiveness of a progress monitoring method, namely the Multilayer Instruction Model-Progress Monitoring (MIM-PM), which is a word reading fluency measure. It was used from 1st grade onward to predict the overall reading achievement of students in elementary school by tracking their reading achievement over…

This study characterized the patterns and predictors of pre-post changes in knowledge, attitudes, beliefs, behaviors, and intentions (KABBIs) among 641 youth who completed evidence-based teen pregnancy prevention programs. At follow-up, 64.0% of youth showed changes knowledge, communication, and attitudes; 22.5% showed changes in knowledge,…

The present study explored how negative emotional orientations (i.e., anxiety, boredom, and demotivation) may contribute to English as a foreign language (EFL) learners' willingness to communicate (WTC) in in-person and online classes. In doing so, a total of 290 university students majoring in English were recruited to fill in a set of scales.…