This study investigates ChatGPT's perspectives on coding education for preschool children to provide a comprehensive understanding that is valuable for educators in early childhood education. An instrumental case study approach was employed, utilizing qualitative research design and case study methods. Data were gathered using a structured…

Educational and playful forms of media are both pervasive in children's media landscape. Children tend to see play and learning as distinct, whereas parents tend to recognize the overlap between these categories; however, little research investigates children's and parents' conceptions of media as learning or play. Children (N = 80, five- and…

Explanatory processes are at the core of scientific investigation, legal reasoning, and education. However, effectively explaining complex or large amounts of information, such as that contained in a textbook or library, in an intuitive, user-centered way is still an open challenge. Indeed, different people may search for and request different…

In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…

Although there is wide rhetoric that programming should be learnt by all as an element of computational thinking (CT), in practice, it is mostly implemented narrowly as an end in itself consisting of routine practice and traditional testing of the ability to code. This paper discusses a way in which programming could be seen through a wider…

Sensory differences are nearly universal in autism, but their genetic origins are poorly understood. Here, we tested how individuals with an autism-linked genotype, 16p.11.2 deletion ("16p"), attend to visual information in immersive, real-world photospheres. We monitored participants' (N = 44) gaze while they actively explored 360°…

The main purpose of this research was to do a confirmatory factor analysis of cyberbullying behaviors among undergraduate students in higher education institutions in northeastern Thailand. The sample included 1,062 1st-4th years bachelor's degree students in the academic year 2022 from five higher education institutions located in the Northeast…

Despite vast improvements in technology infrastructure and classroom technology implementation across Malaysia, there still remain teachers who fail to seamlessly integrate technology in their lessons. Potential explanations for this behaviour span from low self-efficacy and computer anxiety to personal attitudes and beliefs. Technology has been…

The paper has three major objectives. The first objective of the paper is to synthesize and define common categories of meta-analysis. The second objective is to propose a way to comprehend these common categories of meta-analysis through learning from their respective generic conceptual frameworks. The third objective is to point out which R…

Eye gaze tracking has recently become indispensable for domains like virtual reality, augmented reality, human-computer interaction and advertisement. The commercial eye gaze tracking equipment is too expensive to be used by the masses. In this manuscript, a non-invasive, low-resolution ordinary camera-based system has been proposed for tracking…

Entity Resolution (ER) has been one of the bedrocks in the creation of information systems by ensuring ambiguous entities are identified and resolved by linking. One common design approach of traditional ER systems is to run in single-threaded mode, which makes the system prone to out-of-memory error when processing larger datasets. The Data…

Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…

The study investigated the use of formalized cybersecurity apprenticeships as a means of workforce development to meet the needs of employers seeking to fill cybersecurity positions. The study employed a quantitative analysis using a constructivist grounded theory approach utilizing a survey with questions based on the findings of apprenticeships…

Design patterns for learning are about articulating, testing and sharing the principles of problem solving in the educational context. In this way, multiple patterns are developed to solve common problems, described in various pattern language formats. Therefore, this work is about characterizing and establishing functional relationships between…

With the latest advances in conversational agents like Siri and Alexa, and Large Language Models (LLMs) like ChatGPT and PaLM, Question Answering (QA) systems have become more important. Users submit millions of queries per day and it is up to the system to provide reliable, to-the-point answers. In this dissertation, we explore various aspects to…