Introduction: Over 1 billion people worldwide have disabilities, necessitating their inclusion in health systems and workplaces. Artificial intelligence (AI) is revolutionizing accessibility and digital inclusion for these individuals, improving everyday tasks and enabling autonomous mobility. AI can be applied to visually impaired, reduced…

Mobile learning (M-learning), ChatGPT and social media are integral to university education, improving accessibility, personalization and interactive engagement in the learning process. This paper aimed to investigate the role of M-learning, ChatGPT and social media in university students' academic performance. It was a cross-sectional…

What does it mean to write, learn to write, and teach writing in an age when students can use the latest artificial intelligence (AI) co-authoring tools to produce entire essays without even adding an original idea or composing a single sentence? This article addresses questions of authorship and academic integrity concerning the use of AI writing…

This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…

Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…

Notwithstanding the increase in research on artificial intelligence-infused English language learning, several issues remain inadequately addressed. Thus, this paper provides a systematic review and analyzes previous studies to pinpoint fruitful knowledge gaps and outline approaches for future research directions. Two approaches, bibliometric and…

Technology-mediated interactions and datafication are increasingly central in contemporary social dynamics and institutions, including teaching and learning processes. In order to fully understand the complex entanglements of human and non-human actants that emerge in postdigital education, it is essential to imagine new methodological approaches…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

The use of technologies in the classroom has become one of the main allies for university teachers in pedagogical innovation, especially during, and after the pandemic. Therefore, the main objective of this article is to investigate how different types of innovative technologies are most effective in increasing motivation among university…

Today's students are surrounded by machine learning (ML)-powered tools. Yet, few understand how they work. While there are numerous opportunities for students to learn about ML in informal settings (e.g., Alvarez et al., 2022; Druga et al., 2022) and online (e.g., code.org, Scratch), there are far fewer opportunities in the United States for…

Revolutionary technological advancements have introduced the integration of Conversational AI into a multitude of different settings. This widespread implementation has raised questions about the impact of AI on learning, its benefits are and its potential costs. This study aims to explore the perspectives of parents, investigating their…

There has been a massive shift in teaching quantitative political research since the "Journal of Political Science Education" was launched in 2004. Smartphones were an anomaly, and it was uncommon to have laptops in the classroom. Statistical calculations were sometimes done by "statisticians", i.e., professional staff who did…

This study examines learners' experiences and the use of language learning applications ("apps") as a primary source of "second or additional language learning" ("L2") instruction and assessment in higher education. It purviews the integration of artificial intelligence (AI)-powered features that support…

In this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have…

Amid globalization, the demand for English oral proficiency continues to grow. This study employs a quasi-experimental design to investigate the integration of an AI chatbot into the mobile-assisted blended learning (MABL) framework. It examines the impact of this approach on the spoken English abilities of Chinese non-English major university…