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…

Although there is a growing body of knowledge on dispositions towards ridicule and being laughed at, there is still scarce research on how they relate to other relevant constructs and phenomena, such as emotional intelligence or (cyber)bullying. This study explores the associations between those dispositions and emotional intelligence and analyses…

This study examines how DALL-E 3 interprets English descriptions written by Indonesian university students. Sixteen descriptive texts were submitted to the artificial intelligence (AI) tool, and the resulting images were compared to original photos. Most outputs showed clear mismatches. The analysis found that misinterpretations originated from…

This paper explores the potential of large language models to accurately extract and translate equations from typed student responses into a standard format. This is a useful task as standardized equations can be graded reliably using a computer algebra system or a satisfiability modulo theories solver. Therefore physics instructors interested in…

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…