Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-
based methods being considered the gold standard for drug susceptibility testing, molecular …

Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

Despite the importance of artificial intelligence (AI) for university students to thrive in the
future workplace, few studies have been conducted to assess and foster their intentions to …

The use of digital learning technologies and platforms has skyrocketed over the past
decade. Although digital materials have many advantages, using them can be frustrating to …

Prior research highlights the critical role of AI in enhancing second language (L2) learning.
However, the factors that practically affect L2 learners to engage with AI resources are still …

The substantial upsurge in Web 2.0 deployment allows a large number of consumers to
share their opinions with potential consumers and producers through product and service …

The mix of native language with other languages (code-mixing) in social media has posed a
severe challenge for language identification (LID) systems. It has encouraged research on …

Sense of success and self-efficacy regarding technology integration in teaching are among
the most important factors that influence teachers' well-being and professional development …

Asynchronous video interviews (AVIs) are a form of one‐way, technology‐mediated
selection interview that can help streamline and increase flexibility in the hiring process and …

Purpose The purpose of the study is to identify drivers of mobile massive open online course
(MOOC) continuous intention (CI) through the lenses of customer perceived value (CPV) …