The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…

This study compares the grammatical errors (GEs) made by non-English major undergraduate students from China and Pakistan, aiming to identify common and distinct types of error and to explore potential reasons behind them. By focusing on these two linguistically and culturally distinct groups, this research seeks to enhance understanding of…

Vocabulary acquisition is crucial for language learning, yet learners face substantial challenges in memorizing extensive vocabulary. Numerous studies suggest Artificial Intelligence (AI)-based technologies could significantly improve vocabulary acquisition among K-12 learners. Therefore, instructors or teachers must be fully informed of the…

In the digital age, technology-assisted language learning (TALL) has emerged as a pivotal approach to enhancing English linguistic skills among college students. This study explores the effectiveness of TALL innovations in enhancing English linguistic skills among college students. Employing a mixed-methods approach, data were collected through…