The purpose of this study is to design a selfexplanation prompts or help element in iFractions educational game software. The self-explanation prompts was developed using the cartoon concept. In the previous research students who used the self-explanation prompts showed significantly better achievements. Students who used iFractions with selfexplanation prompts found that it has helped them make the fractions abstract concept concrete and facilitate the proper construction of fractions schema. Therefore, the design of any educational software must be constructive in parallel with the combination of scaffolding element which is the self- explanation prompts...

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The purpose of this study is to analyze the game elements based on Gagne Nine Events of Instruction and to develop instrument which will be use to analyze the game elements needed in the development of digital educational games. The study was conducted using qualitative design where the interview and observation involved. A total of 20 students from a school in Tanjong Malim Perak participated in this survey. The findings of the study show that eight game elements are analyzed based on Gagne Nine Events of Instruction that are mystery, action, challenge, being at risk, uncertainty of outcome, opportunity for mastery, visible signs of progress and emotional content. These elements will be aligned with Gagne Nine Events of Instruction to develop an instrument. In conclusion, this study will further enhance the digital educational games design process and further promote innovation in teaching and learning in line with the Malaysian Education Blueprint 2013-2025.   ..

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The evaluation of information systems (IS) models, which are employed to research the adoption or acceptance of metaverse systems, is thought to be a subject of major significance. Studying the adoption or acceptability of the metaverse system is not a recent study area, and many academics have taken on the task. We should be acquainted with the leading IS models used in this study trend to assess these models and give academics a comprehensive understanding of this study trend. The primary goal of this research, in contrast to previous reviews, is to systematically evaluate the metaverse research in education from the viewpoint of IS theories/models to offer a thorough pointer that might help the scholars to carry out additional research in metaverse acceptance. A total of 41 research that was published between 2011 and 2022 were examined in the present systematic review. The main study results showed that the Technology Acceptance Model (TAM) is recognized as the most widely used mod.....

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The metaverse is an envisioned realm offering immersive digital spaces, bolstering highly interactive environments within educational contexts. This digital dimension amplifies synchronous communication, uniting a vast number of users as they share their unique experiences. This research aims to scrutinize the perceptions of elementary students towards the metaverse system (MS). Our proposed model underwent validation through the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. Data, sourced from 287 students of Dubai National School, revealed that the primary predictor of students' intent to engage with the MS is personal innovativeness. This is followed closely by perceived usefulness and then perceived ease of use. The findings of this research provide deeper insights into the driving factors behind the adoption of MS among young learners. © 2024, Semarak Ilmu Publishing. All rights reserved...

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Sentiment analysis has become an indispensable tool in interpreting vast amounts of data generated from social media platforms, providing insights into public opinions on a variety of topics. This is particularly relevant in the context of emerging technologies like the Metaverse, which are frequently discussed across digital platforms. Traditional sentiment analysis tools struggle with the volume and complexity of data, particularly when dealing with nuanced discussions around new technologies such as the Metaverse. Convolutional Neural Networks (CNNs), known for their success in image processing, have not been extensively validated for their efficacy in analyzing sentiment from text-based social media data. This study introduces a novel approach by applying CNNs specifically to Metaverse-related tweets. This approach leverages CNNs’ ability to extract meaningful patterns from complex textual data, offering potentially superior performance over traditional models. We utilized a data.....

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