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Adapting the Future VET Curriculum in Response to Emerging Challenges: A Model for Evaluating the Impact of AI Integration in VET for Armed Conflicts and Warfare

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This article examines the profound implications and the transformative impact of artificial intelligence (AI) on vocational education and training (VET) within military contexts, underscoring the imperative for curriculum reform to address the evolving demands of contemporary warfare. As AI technologies progress, they present both significant opportunities and challenges, reshaping defense strategies and operational frameworks, fundamentally altering defense strategies and operational paradigms. The integration of AI into military applications necessitates a workforce proficient in specialized competencies, including technical expertise in AI ethics, system design, and human-centered methodologies. This paper delineates the essential competencies required for future VET professionals, emphasizing the necessity for ongoing upskilling and reskilling to effectively navigate the ethical and legal complexities associated with AI in military operations. By incorporating and embedding AI education into VET curricula, stakeholders can cultivate a new generation of defense professionals equipped to utilize AI technologies in a responsible and effective manner, ensuring adherence to and compliance with international humanitarian standards while enhancing operational efficacy. The findings highlight the critical role of VET in developing a skilled workforce prepared to confront the dynamic landscape of military technologies driven by AI.

The Role of Artificial Intelligence ChatGPT in Learning Planning in the Era of Industrial Revolution 4.0

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Artificial intelligence allows computers to process vast amounts of information and data, providing computer-based conclusions in a relatively short and fast time. The use of artificial intelligence in education is one of the hallmarks of the Industrial Revolution 4.0 era, characterized by automation and data exchange, where people seek, cite, analyze data and information, and access cloud services via the internet. This journal article will review various aspects of the utilization of Chat GPT in academia and education. Through an analytical and evaluative approach, we will investigate important issues that need to be understood and addressed in the use of this technology. Additionally, we will provide recommendations and guidelines to ensure the ethical and responsible use of Chat GPT within academic and educational settings. This research was conducted using a qualitative approach and a literature review method. ChatGPT has become an artificial intelligence tool capable of attracting over 100 million active users per month in a relatively short time. The use of ChatGPT in education offers numerous benefits for students, including increased engagement, motivation, and 21st-century skills. ChatGPT positively impacts the anxiety experienced by students, helping them develop confidence and skills necessary for success in academic life. For teachers, the use of ChatGPT brings significant changes to teaching practices, enhancing teaching skills, providing support in student assessment, and reducing administrative workload. Additionally, projections for the hardware and AI services market indicate substantial growth potential in the future. Overall, the development of ChatGPT and the utilization of AI technology promise various benefits that can enhance the efficiency and quality of education in the era of Education 4.0.

Strategic Decision-Making: Implementing Artificial Intelligence for Customer Experience in XYZ Electricity

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This case study outlines the challenges in resolving customer complaints at XYZ electricity provider, where the industry achieves only 89.16% against a 100% service level agreement, leading to poor customer experience (CX). The objective of this paper is not only to identify the root causes of poor CX and validate artificial intelligence (AI)’s potential role as a solution, but also to pioneer the identification of critical success factors (CSFs) and strategic areas for AI implementation, leveraging computational ratings to enhance decision-making processes. This research employs comprehensive data collection methods, including primary data from interviews and workshops involving 300 participants and secondary data from observation and literature studies. It utilizes an integrative strategy framework (ISF) to strategically synthesize internal and external analyses. Additionally, it ranks critical areas for AI implementation using the analytic hierarchy process (AHP) based on pairwise judgment and Likert scale surveys from ten experts. The most significant findings reveal that direct impact on customers, at 28.54%, is the strongest CSF, while customer service, 14,63%, is the most impactful implementation of AI in the XYZ to fix poor CX. A pilot project on customer service can improve CX, revenue, and cost savings. The authors suggests that another researcher implement and evaluate AI in various businesses and specific client categories.

Discerning Digital from Canvas: Investigating Visual Distinction between AI-Generated Art and Actual Art among Far Eastern University’s Institute of Architecture and Fine Arts (IARFA) and Non-IARFA Students

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Artificial Intelligence is one of the current generation’s inventions that has been widely used. It has helped make lives easier, especially regarding appliances and business, and it has also altered various industries, including the arts. However, this development has sparked different perspectives among artists and non-artists. This study aims to evaluate how students, both artists, and non-artists, perceive the differences between real art and artificial intelligence-generated art. For this study, a total of fifty (50) students will be gathered, consisting of twenty-five (25) non-artist students from different courses and twenty-five (25) artist students from the IARFA Institute of Far Eastern University. The participants will receive the questionnaire via Messenger. The results of this study showed that the participants could differentiate actual art from AI-generated art based on their knowledge when evaluating artworks. Additionally, it demonstrates that artist students showed more confidence in determining actual artworks from AI-generated artworks due to their knowledge. While non-artists remain skeptical in determining artworks as they base their perception on how they see art.

Envisioning the Future: A Quantitative Analysis of Architecture Students’ Perspectives on Artificial Intelligence Integration in Architectural Design across Region III, IV-A, and NCR, Philippines

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In an era characterized by modernization and technological advancements, the emergence of artificial intelligence (AI) has brought changes to the different processes of various industries, including the field of architecture. To address concerns and present the views of those in the industry, this research aims to identify and describe the perceptions of Architecture students from various universities/colleges towards adopting AI in Architectural Design through descriptive-correlational research. As well as to discover the students’ acceptance level in adopting artificial intelligence in academic curriculum. Forty-five (45) university/college students enrolled in an Architecture program across diverse institutions drawn from a purposive sampling method answered a survey questionnaire containing Twenty (20) questions answerable by a 5-point Likert Scale. The results revealed that the students’ perceptions were neutral regarding adopting artificial intelligence in academic curriculum and future employment and careers. The correlational analysis suggested that the relationship between the perception of AI in architecture and its impact on career and employment was weak as they saw the potential threat of AI in future employment opportunities. The researchers recommended the results of this study for future research when gathering data related to artificial intelligence, the perception of the students, and the development of AI on how to improve and recognize the limitations of its use.

Machine Learning as Managerial Tool: A Case Study in ADNOC

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In the current business environment, managers are facing challenges in managing different kinds of people. They find it difficult to track, evaluate, and manage employees in a fast-paced work setting. Machine learning is an emerging concept that deals with unsupervised and supervised learning of a machine to provide a usable system. In this matter, this paper aims to investigate how companies can leverage the use of machine learning in people management and in improving the performance, productivity, and motivation of employees and managers. Thus, the research used both qualitative and quantitative research approaches to examine the impact of machine learning in an organizational setting.

Circular Economy Transformation in Chemical Industry: Integrating CRM and AI for Sustainable Growth

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This white paper explores the pivotal role of Customer Relationship Management (CRM) in the digital transformation journey of the chemical industry. As customer expectations continue to evolve and competition intensifies, chemical companies are turning to CRM solutions to enhance customer interactions, streamline operations, and drive business growth. The abstract provides an overview of CRM’s significance in the chemical sector, highlighting its role in customer segmentation, sales automation, marketing optimization, and customer service enhancement. By centralizing and optimizing customer-related processes, CRM enables chemical companies to deliver personalized experiences, improve sales productivity, and foster stronger customer relationships. Through a comprehensive examination of CRM implementations and potential applications in the chemical industry, this white paper aims to provide valuable insights for industry professionals seeking to leverage CRM to navigate the challenges and opportunities of the digital age.

Developing Self-Learning Competence for Students Based on Learning Theories Combined With the Support of AI Chatbot in Teaching

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To ensure the educational goals of the 21st century, creating a “learning society” and “lifelong learning,” the development of self-learning competence in the teaching process is crucial. Constructivism and Metacognition theories have shown that teachers need to create a learning environment that helps learners build and create knowledge for themselves based on thinking, exploration, and practice. This approach aids in the development of students’ self-learning competence. AI Chatbot serves as an effective tool in building a virtual assistant, a virtual practice medium that allows students to interact, inquire, and experience 24/7 from anywhere. With AI Chatbot, students will receive support according to their needs, desires, and self-awareness levels. Moreover, AI Chatbot provides a suitable environment for developing self-learning competence for students.

The Importance of Artificial Intelligence in Modern Media Education Technologies in Institutions of Higher Education

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This scientific work provides information about the importance of artificial intelligence in modern media education technologies in institutions of higher education. Artificial intelligence in media education in Uzbekistan offers unique opportunities for students and educators. Initially, artificial intelligence (AI) is employed for personalizing the educational process by adapting learning materials to the individual needs of each student. This contributes to more effective comprehension of the material and improved academic performance.

Developing a Business Model Canvas for Online Classified Ads Platform: A Startup Case Study

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A growing culture of using the internet, aims to provide products and services that are modern and safe in the online advertising market. This study proposes a business model canvas for new startups classified online ads to gain a competitive advantage in the Indonesian market. Utilizing qualitative research, this study explores the development of an online classifieds business, with a focus on the integration of AI technology and in app payment systems. The proposed model includes product development, marketing and gathering user feedback. Likewise, the company can implement the proposed business model by developing its platform features and customer service.