This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…

To address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second language (L2) learning, and the roles of related technological, social, and motivational factors. An eight-factor survey was constructed using a 5-point Likert…

Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…

This systematic literature review examines the impact of generative artificial intelligence (AI) applications on student learning outcomes in middle school science education. Twelve studies that met the inclusion and exclusion criteria were included in the study. The studies were accessed from the WOS, SCOPUS, ERIC, and TrDizin indexes and…

This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…

The paper applies language management theory to study the interactions of international with local workers (simple management) and language policies (organised management) in 10 Czech video game studios. By longitudinally interviewing foreign game developers from Central-Eastern and Western Europe, as well as North and South America, I identified…

This study explores the transformative potential of artificial intelligence (AI) in education, focusing on its integration into teaching practices in Qatar. Surveys and interviews with educators revealed that AI tools significantly reduce teacher workloads, enhance lesson quality, and increase student engagement. Teachers reported spending less…

There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…

Concordancer tools have been used to help students learn aspects of written English by engaging them to access, examine, and analyze language examples in a corpus. Nonetheless, their efficacy remains uncertain when compared to other tools. This study compared a concordancer tool to Grammarly, QuillBot, Google search, online dictionaries, and…

Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…

Artificial intelligence (AI) rapidly transforms education, offering adaptive and personalized learning experiences. In English as a Foreign Language (EFL) education, AI-powered tools such as chatbots, writing assistants, and translation software reshape teaching and learning. This study explores how 67 prospective EFL teachers envision the future…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings. Typically, a large number of replications are required to obtain the desired precision. However, many standard software packages in IRT, such as MULTILOG and BILOG, are not well suited for a simulation study requiring…

This paper examines the Torricelli law for the flow of liquid from a small drain hole in a container. It shows how the system can be modelled using either a traditional calculus-based approach or a non-calculus step-wise computer method appropriate to the background of the student group. An experiment to measure the head of out-flowing liquid as a…

Many researches show that students have difficulties in understanding graphics in kinematics. Some authors argue that we can use different instructional strategies to reduce these difficulties. Based on these studies, we developed and applied a didactic sequence using educational robotics to teach graphic analysis in movements in a dimension with…