Online-Journals.org (International Association of Online Engineering)
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Enhancing Teachers’ AI Competencies through Artificial Intelligence of Things Professional Development Training
Get PDFThe rapid increase in new challenges of the combination of the Internet of Things (IoT) and artificial intelligence (AI), which are emerging technologies, can play a compelling role in prompting the development of artificial intelligence Internet of Things (AIoT). Therefore, the demand for AI competencies for everyone will increase. Educational institutes focus on encouraging AI education because the demand for AI-literate workers will increase in the industrial sector. However, teachers’ lack of AI knowledge is a significant barrier to AI education. Thus, developing the teacher’s AI competencies and educating them about how to use and teach students is critical. In this study, we proposed artificial intelligence of things professional development (AIoT-PD) training to prepare the AI competencies of teachers ready to teach. A quasi-experimental design with a two-day training workshop was conducted among 13 teachers to examine its impact on AI competencies, including AI knowledge, AI skill, and AI attitude. The quantitative data were collected via a pretest and posttest after the training activity, while qualitative data were collected via interviews. This study showed that teachers’ AI knowledge significantly improved. These findings revealed the AIoT training workshop’s effectiveness in enhancing teachers’ AI competencies, which can help them effectively teach students in AI education
Exploring Common Game Elements in Serious Game Interventions for Health and Obesity Awareness in Children: A Systematic Review
Get PDFObesity is a growing health challenge. Serious game interventions can increase awareness of health and obesity, especially among children, and the effectiveness of these interventions depends on specific game elements. This review aimed to identify the most common game elements in serious game interventions for raising awareness about obesity in children. We conducted a literature search in the ACM digital library, IEEE Xplore, and Scopus databases for serious games designed and developed for obesity or health awareness. The extracted game elements are based on a pyramid with three categories: components, mechanics, and dynamics, according to Werbach and Hunter (2012). Each dimension, or category, consisted of various game elements. 1349 articles were identified. We found 27 game elements distributed across the 17 selected studies. The most common game elements were ‘Points,’ ‘Quests,’ ‘Challenges,’ ‘Feedbacks,’ ‘Constraints,’ ‘Progression,’ ‘Avatar,’ ‘Win States,’ ‘Achievement,’ and ‘Rewards.’ Serious game interventions for health promotion in children include multiple game elements that are crucial in designing and developing a game. The inclusion of these game elements depends on the learning outcomes and the purpose of the game
A Virtual Reality Game to Promote the Role of a Healthy Diet in Male Reproduction
Get PDFThis paper presents gaming as an alternative way of transmitting information compared to traditional academic methods. New technologies provide an opportunity, and in particular, virtual reality gaming allows users to have an immersive, personifying, intuitive, and engaging experience useful in visualizing complex concepts. Questionnaires were administered to secondary school students to extrapolate relevant information regarding the role of diet on sperm quality following the experience of the virtual reality game “Oxistress.” This game allows participants to understand in a playful and recreational way how the presence of reactive oxygen species can damage spermatozoa and how adequate diet choices provide ammunition in the form of antioxidants and omega-3 fatty acids to protect and repair spermatozoa. The results suggest that virtual reality (VR) may represent an important way to improve knowledge of scientific topics. Further studies will be necessary, involving larger populations with different basic knowledge as well as checks on whether the information acquired remains in memory after months
Exploring the Impacts of Implementing Block Mode of Teaching in Higher Education
Get PDFThe tertiary sector is one of the most competitive industries that makes significant contributions to countries’ economies. Due to rapid changes in society, universities are urged to make suitable changes to attract students. One of the innovations some universities have adopted is changing their teaching mode to facilitate the learning process and attract students who find it more suitable for their learning style. The block model of teaching (BMT), a relatively new teaching mode in the higher education industry, has demonstrated great potential for increasing students’ performance. This study employs a case study method and collects data from five institutes that have implemented BMT, namely: Salford University, Colorado College, Heriot-Watt University, Victoria University, and Quest University. The thematic analysis of the collected data has led to the proposal of a taxonomy comprising 14 positive impacts and seven negative impacts of implementing BMT, grouped into eight categories. Implications of the findings for studies and practitioners are also provided herein
Developing a Mobile Game Application to Enhance Learning Experience in Programmable Logic Controller (PLC) Wiring beyond the Laboratory
Get PDFIn the field of automation technology education, the primary emphasis is on instructing students in the use of programmable logic controllers (PLCs). Practical training for beginners includes sessions on wiring and programming. However, the training on wiring lacks resources for additional practice outside the laboratory. Recognizing the potential of mobile devices and digital game-based learning, this study aims to create a mobile game app for practicing basic PLC wiring at any time and in any location. The study also seeks to examine the impact of using the game app on student performance and user satisfaction. The game app underwent expert assessment and received a high suitability rating, garnering an overall score of 4.43. Subsequently, it was employed in an experiment involving an experimental group comprising 18 students and a control group consisting of 22 students. To address non-normal data, we utilized both parametric and non-parametric methods to ensure more robust data analysis. The study found that both the independent sample t-test and the Mann-Whitney U test yielded consistent results, with p-values of 0.009 and 0.01, both below 0.05. This led to the conclusion that additional practice with the game app improved students’ performance in wiring. The user experience received positive feedback, with an overall score of 4.25. Based on the results, we consider this game app to be an effective learning tool that can enhance student performance and the learning experience in basic PLC wiring
From Micro-benchmarks to Machine Learning: Unveiling the Efficiency and Scalability of Hadoop and Spark
Get PDFWith the exponential growth of data, the demand for efficient and scalable data processing solutions has become paramount. Hadoop and Spark, pivotal components of the open-source Big Data landscape, have been put to the test in this study. We conducted a comprehensive performance analysis of Hadoop and Spark in virtualized environments, evaluating their prowess across a suite of benchmarks. The benchmarks encompassed a spectrum of workloads, from micro-benchmarks such as Sort, WordCount, and TeraSort to web search tasks such as PageRank and machine learning endeavors including Naive Bayes and K-means. The central focus was to gauge their performance, efficiency, and resource utilization. The findings of this study underscore the benefits of Spark’s in-memory processing, demonstrating its superiority over Hadoop in various scenarios. Spark excels in machine learning and web search applications, particularly when handling smaller inputs. Its efficient memory management and support for multiple iterations make it a strong choice. In resource-constrained environments or when dealing with large input files and limited memory, Hadoop may still hold an edge. The design and implementation of data processing solutions in virtualized environments should carefully consider the specific demands of each framework. This study not only presents a performance comparison of Hadoop and Spark across different benchmarks but also emphasizes the vital implications for designing and deploying data processing solutions in virtualized settings. It serves as a cornerstone for informed decision-making, paving the way for optimized algorithms and techniques in the dynamic landscape of big data processing
The Effectiveness of Laboratory Digitalization for 21st Century Learning
Get PDFLearning resources are crucial and strategic elements that impact the accessibility of easy, fast, accurate, and affordable information in the era of Society 5.0. Learning resources must be adaptable to technological advancements. The history laboratory is a learning resource that must be transformed and adapted to address the aforementioned needs and problems as a solution. The extensive collection of owned items has the potential to support this. This paper describes the creation of a digital laboratory by utilizing collections from the UM History Department. The research employed the Research and Development (R&D) method, utilizing the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. The study presents findings on the importance of digitizing laboratories as educational resources and digital laboratory products for the UM History Department. This digital laboratory product consists of several features, including an e-book (book catalog), an e-repository (final project catalog), an e-museum (museology collection catalog), tool lending, and graduate assessment. The results of the validation and implementation tests demonstrate that the criteria are highly valid and extremely effective. These results demonstrate that the digital laboratory serves as a more effective and efficient learning resource that is easily accessible and usable for civil society 5.0
Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning
Get PDFIn light of the increasing sophistication and frequency of mobile attacks, there is a growing demand for advanced intelligent techniques capable of offering comprehensive mobile attack detection and prevention. This paper aims to critically evaluate the landscape of mobile security, outlining the evolution of mobile attack vectors and pinpointing the deficiencies in traditional security methods. The text embarks on a journey to understand the connection between machine learning (ML) and its promising applications in enhancing mobile security. First, we outline the current state of mobile attacks and the traditional methods used for their detection, emphasizing the clear limitations and the necessity for an innovative approach. Following this, we will elucidate the fundamentals of ML and its implications in cybersecurity, exploring the benefits it can provide to mobile attack detection frameworks. We delve into discussing various ML algorithms, such as decision trees, random forests, and support vector machines, highlighting their effectiveness and the metrics used to evaluate ML models in security tasks. Moreover, the paper sheds light on novel approaches such as semi-supervised and unsupervised learning in anomaly detection, as well as the applications of transfer learning in security. Addressing the pressing challenges faced in artificial intelligence (AI)-driven mobile attack detection, we delve deep into the intricacies of data collection, labeling, and the prevailing issues of imbalance and overfitting. Furthermore, we explore contemporary adversarial attacks and defenses, scrutinizing the real-world adaptability of AI models and the pivotal role of human-AI collaboration in enhancing attack detection mechanisms
Influence of E-Scaffolding in Problem-Based Learning on Students’ HOTS in Standing Wave
Get PDFIn the 21st century, students’ higher-order thinking skills (HOTS) are crucial, as they focus on students’ capacity to identify problems and think analytically to solve them. Therefore, students were required to have higher-order thinking skills. The purpose of this research was to assess the impact of e-scaffolding in problem-based learning (PBL) on students’ HOTS in the context of standing waves. This study utilized a quasi-experimental approach employing a non-equivalent control group design. The experimental group, which was taught with e-scaffolding in PBL, consisted of 31 students, while the control group, taught only with the PBL model, had 29 students. A total of eight multiple-choice questions that had been proven valid with a reliability of 0.752 were used to assess students’ HOTS. The data were then analyzed using ANCOVA, with pretest scores as covariates. The results showed statistically significant differences among students with increased higher-order thinking skills in favor of using e-scaffolding in PBL: 0.000 (α < 0.005). The eta squared statistic (0.785) indicates a large effect size. By employing PBL with electronic scaffolding, students actively participate in collaborative activities focused on successful problem-solving, resulting in a high success rate. Consequently, it is recommended to consider e-scaffolding as a primary method for developing higher-order thinking skills
A PHP Framework-Based Web-Based Instruction Platform
Get PDFThis paper combines the emerging Internet with actual student classrooms to design a PHP-framework-based web-based instruction platform, aiming to improve students’ learning efficiency after class. This system uses the PHP language and integrates MVC-based ThinkPHP, Bootstrap, jQuery’s $, ajax asynchronous request, art-template rendering, and other technologies. The interface of the system is simple and easy to operate, with various layout styles and display effects. Students can increase their interest in learning and improve their learning efficiency by watching the teaching videos on the website. The system summarizes a large amount of teaching resources and information to promote the structure and mode of reform in education and teaching. Such an intelligent platform with permanent knowledge preservation and instant sharing features effectively motivates students’ learning efficiency, interest, and initiative