This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…

Although robots' social behaviors are known for their capacity to facilitate learner-robot interaction for language learning, their application and effect have not been adequately explored. This study reviewed 59 empirical articles to examine the contexts and application of various social behaviors of robots for language learning, and conducted a…

In the digital age, online learning platforms utilizing advanced technologies such as artificial intelligence can provide more diverse and abundant educational resources compared to offline learning environments. However, online learners still face emotional expression and inertia trap problems. Knowledge co-creation virtual teachers (KCVTs) can…

This study aimed at examining the issue of digital plagiarism within EFL education across Korea, Mongolia, and China in the era of Artificial Intelligence, focusing on how AI technologies affect academic integrity. It investigated both learners' and instructors' perceptions of digital plagiarism, shedding light on the impact of cultural and…

This study discusses the value of applying the practical strategy of top-level design of artificial intelligence (AI) in the ideological and political theory courses (IPC) in China universities, aiming at improving the ideological and political literacy (PA) of college students. The research first implements IPC through AI network media, then…

The study presented investigated the relations between personal factors and teachers' attitudes towards AI in order to deduce implications for professional learning and test a "post-teaching" theoretical hypothesis. A survey was conducted on the opinions of 177 teachers involved in the secondary school qualification course. The teachers…

Artificial Intelligence (AI) can transform all sectors and daily life, but its integration into Public Relations (PR) education and adoption by PR professors is underexplored. This study examines these factors using the Technology Acceptance Model (TAM), focusing on seven variables: social influence, perceived AI knowledge, trust, emotion, AI…

Purpose: Many child-, hearing-, and device-related factors contribute to spoken language outcomes in children who are deaf and hard of hearing (DHH). Recently, the family environment has been implicated as another contributing factor in language development. However, most studies on the role of families in language outcomes of children who are DHH…

Large Language Models (LLMs) present a radically new paradigm for the study of "information foraging behavior." We study how LLM technology is used for pedagogical content creation by a sample of 25 participants in a doctoral-level Artificial Intelligence (AI) in Education course, and the role of computational-thinking skills in shaping…

Background/purpose: This study aims to examine the impact of prospective mathematics teachers' metacognitive awareness on their perceptions and applications of ChatGPT in problem-solving processes. The research investigates how these prospective mathematics teachers perceive and utilize ChatGPT, focusing on the relationship between their…

This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…

Generative artificial intelligence (AI) has become a major research trend in the fields of education and psychology. However, several risks posed by this technology concerning the cognitive and socio-emotional development of children and adolescents have been identified. While it would be highly useful to have a clear understanding of these…

The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…

The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…

With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…