"Generative AI Technologies, Multiliteracies, and Language Education" is a comprehensive edited volume that examines the integration of Generative AI (GenAI) technologies within the framework of multiliteracies pedagogies to enhance language teaching and learning. This collection of chapters offers an in-depth understanding of how GenAI…

The precise relation between implicit learning and reading abilities has not been determined yet, given the limited research on implicit learning between typically developing (TD) students and those with reading difficulties (RD). Additionally, the influence of modality-related implicit learning performance in children remains largely unknown. To…

The recent development of Large Language Models (LLMs) such as Claude, Gemini, and GPT has led to widespread attention on potential applications of these models. Marking exams is a domain which requires the ability to interpret and evaluate student responses (often consisting of written text), and the potential for artificial intelligence (AI)…

Young children now spend most their screen time watching online videos, with platforms like YouTube dominating digital media use among those ages 0-8. Many of these videos are fast-paced--featuring rapid scene changes, frequent motion, and quick-cut editing. Prior research has linked fast-paced media to diminished attention and executive function…

Utilising a mixed-research method, this preliminary study explored the use of ChatGPT for seeking effective assignment feedback among a total of 11 adult learners in a graduate-level asynchronous online course in the Spring 2024 semester. Through analysing these learners' experiences on the activity of using ChatGPT to seek effective assignment…

Research on the use of artificial intelligence (AI) in case management activities and within the forensic vocational rehabilitation (VR) and life care planning (LCP) arena is limited. This white paper aims to illuminate the potential benefits of AI in these fields. The paper delves into the application of AI in case management and forensic VR and…

Background/purpose: Kindergarten teacher competence in Indonesia continues to face significant disparities and structural challenges. To address this issue, multidimensional approaches to professional development are urgently required. This study aims to examine the effects of Management Development (MD), Emotional-Spiritual Quotient (ESQ), and…

In language learning, learners engage with their environment, incorporating cues from different sources. However, in lab-based experiments, using artificial languages, many of the cues and features that are part of real-world language learning are stripped away. In three experiments, we investigated the role of positive, negative, and mixed…

Students are the future of a nation. Personalizing student interests in higher education courses is one of the biggest challenges in higher education. Various AI and ML approaches have been used to study student behaviour. Existing AI and ML algorithms are used to identify features for various fields, such as behavioural analysis, economic…

Student question generation (SQG) is an effective strategy for improving reading comprehension. It helps students improve their understanding of reading materials, metacognitively monitor their comprehension, and self-correct comprehension gaps. Internet technologies have been used to facilitate SQG process through intensive peer support. However,…

Artificial intelligence (AI) and natural language processing technologies have fuelled the growth of Pedagogical Conversational Agents (PCAs) with empathic conversational capabilities. However, no systematic literature review has explored the intersection between conversational agents, education and emotion. Therefore, this study aimed to outline…

Online education has been expected to be the future of learning; it will never replace the value of traditional classroom experiences fully. Technical problems have less impact on offline education, which gives students more freedom to plan their time and stick to it. In addition, teachers cannot observe their students' behavior and activities…

Complex Machine Learning (ML) models used to support decision-making in peer-to-peer (P2P) lending often lack clear, accurate, and interpretable explanations. While the game-theoretic concept of Shapley values and its computationally efficient variant Kernel SHAP may be employed for this aim, similarly to other existing methods, the latter makes…

The study used a thematic analysis to examine student and faculty responses to two qualitative questions focused on their perceptions of the consequence of incivility and solutions that would embed civility expectations as a key element to professional role socialization in higher education. Participants included students and faculty across…

Understanding the nature of science is an essential component of scientific literacy. In a technology and media-oriented environment, text-processing algorithms and various artificial learning approaches are crucial and continue to develop. Latent Dirichlet Allocation is a topic modeling algorithm that has been used frequently for many years to…