Articles

Approaching the ASSURE Model and Proposing a Teaching Process for Mathematics Using AI Chatbots Combined with Gamification in a Self-Regulated Learning Framework

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The ASSURE model is a method for designing and implementing lessons developed to optimize the teaching and learning process, particularly in integrating educational technologies. This model assists teachers in creating highly flexible lessons, enabling students to acquire knowledge more effectively through the use of technology and modern teaching methods. AI Chatbots facilitate the automation of responses and support personalized learning for students, while gamification provides an engaging learning environment that helps students develop critical thinking and problem-solving skills in mathematics through the incorporation of game elements. Research findings indicate that the combination of AI Chatbots and gamification in teaching can enhance students’ learning of mathematics, while also increasing engagement and motivation. This paper approaches the ASSURE model and proposes a teaching process utilizing AI Chatbots combined with gamification in a self-regulated learning framework, aiming to guide teachers in organizing mathematics instruction in a scientific and effective manner.

AI Chatbot: A Teaching Tool to Support the Development of Self-learning capacity in Chemistry for High School Students

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In the context of digital transformation and the rapid development of artificial intelligence (AI), the use of AI technology in general and AI Chatbot in particular in education has become a significant trend. There is an increasing number of studies and practical applications of AI Chatbot in teaching and learning. Research indicates that AI Chatbot bring numerous benefits to the teaching process of subjects such as foreign languages, mathematics, science, chemistry, and more. This paper analyzes the potential of AI Chatbot in supporting the self-learning process of high school students in Chemistry. By integrating artificial intelligence technology, AI Chatbot not only provide instant information but also personalize the learning process, helping students enhance their self-learning capacity more effectively. Specifically, the study focuses on identifying the relationship between AI Chatbot and the self-learning process in Chemistry, while also proposing methods to implement AI Chatbot in Chemistry education to improve self-learning capacity for high school students in particular and for other subjects and levels of education in general.

The Future of E-Waste Recycling: Emerging Technologies and Practices Evaluating the Social and Economic Benefits of Advanced E-Waste Recycling Technologies

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The exponential development in electronic waste (e-waste) has become an urgent global concern, necessitating new and sustainable recycling solutions. Emerging technologies, including bioleaching, robots, and artificial intelligence (AI)-driven material recovery, present prospects to transform e-waste management by enhancing resource recovery, minimizing environmental impact, and boosting social and economic growth. This study assesses the effectiveness of these sophisticated recycling technologies, concentrating on their economic viability, environmental sustainability, and societal advantages. A mixed-methods approach, integrating quantitative data analysis and qualitative insights, gives a full appraisal of the revolutionary potential of these technologies in the context of a circular economy.

А Model for School Subject “AI Proficiency” for Advanced students in Secondary TVET School: Conceptual Framework and Content with Practical Exеmplary Curriculum

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The article proposes a subject model for special preparation for professional education and training for classes in the professional field Computer Science and Technology, as a continuation of the subject „Introduction to AI: General education“ for TVET secondary schools in Bulgaria, proposed by the author in a previous published article. The model is balanced, with an emphasis on active learning with a synergistic and holistic creative approach, where over 80% of the time the student is involved in an active (individual or collective) activity: researching materials, drawing up models, discussions and debates, SWOT analyses, as well as project-based tasks of greater or lesser volume, problem cases. The topics are considered not only in their strict technical context, but also holistically-synergistically: ethics in the matter of AI, strategies for regulations, future perspectives and benefits, personal interests. The curriculum aims to provide vocational high school students with a comprehensive understanding of AI, covering fundamental concepts, practical applications, advanced technologies, ethical considerations and future trends in the field, through a combination of theoretical learning, practical projects, creative activity and discussions, develop critical thinking skills and will prepare for further study or careers in AI-related fields.

Integrating Artificial Intelligence in Teacher Education: A Systematic Analysis

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The current work is a systematic review paper that examines the function and significance of artificial intelligence (AI) in teacher education. The researcher gathered almost fifty articles from various platforms, including Google Scholar, Science Direct, Research Gate, and others, on AI and teacher education. Additionally, those publications’ analysis reveals a few key areas and their significance for teacher preparation. By delivering tailored learning experiences, improving instructional strategies, and providing data-driven insights etc. After collecting the article from the above sources, the investigator analyzed all the article on four major points e.g. AI and digital learning, AI and Teacher Education, AI and pedagogical leaning, AI and challenges in teaching learning process systematically, where the investigator found few points and analyzed vividly, at the end the view concern to the Artificial intelligence (AI) has the potential to completely transform Teacher Education. But in order to fully enjoy these advantages, the ethical, equitable, and preparedness issues around AI must be resolved.

The Importance of Creating Artificial Intelligence Supported Future Scenarios in Decision Making Processes

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Artificial intelligence technologies are rapidly developing and having a major impact on the business world. Decision-making processes play an important role for the success of an organization. However, in today’s business world with its complexity and uncertainty, it becomes difficult to manage decision-making processes. At this point, creating future scenarios supported by artificial intelligence and working on different scenarios helps businesses to be more prepared for uncertainty.

Artificial intelligence-supported scenarios can be utilized across various sectors and fields of work. AI enables businesses to analyze past data, predict trends, and consequently work on future scenarios to make more informed decisions. The significance of future scenarios lies in identifying risks and opportunities in advance, adapting to future changes, and being proactive in competition. By evaluating potential developments, shaping your business strategy, you can gain a competitive advantage and make more reliable decisions.

Qualitative methods were employed in the research. Interviews were conducted with managers from 6 different professional groups (software, biomedical, public, construction, university, e-commerce). Data was collected and analyzed using semi-structured interview forms consisting of 4 questions. When the findings were evaluated, no concerns or negative expressions regarding the use of artificial intelligence were expressed. Except for public institutions, everyone has AI in their planning. Each sector believes it is important. No negative concerns were expressed. The prominent concepts in the findings are: Speed, big data, gaining competitive advantage, personalized customer experience, risk analysis, cost advantage, technology adaptation, optimization, accurate and fast situation detection, efficiency, etc.

It is thought that the research will create significant awareness for businesses in the turbulent period of the 21st century, where uncertainties are greater than ever. Despite all the positive aspects, AI-supported decision-making processes also carry some risks. The most prominent risks include the applicability of AI-supported scenarios, security concerns, the existence of ill-trained AI models, ethical issues and data privacy.

The Role of Artificial Intelligence in Enhancing Employee Performance through SHRM and Organizational Creativity at ABC Bank Yogyakarta Area Office

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This study explores the role of Artificial Intelligence (AI) in mediating the effects of Sustainability Human Resource Management (SHRM) and Organizational Creativity on employee performance. Conducted at ABC Bank’s Yogyakarta Area Office, the research employs a quantitative survey method and Structural Equation Modeling (SEM) to analyze data. SHRM practices, including HR development, diversity, and occupational safety, directly contribute to employee engagement and productivity. Similarly, Organizational Creativity, encompassing individual creativity, team collaboration, and knowledge creation, enhances innovation and adaptability within the workplace.

The findings demonstrate that SHRM and Organizational Creativity have a significant positive impact on employee performance. SHRM fosters a sustainable work environment, while Organizational Creativity drives the generation of new ideas and solutions to meet organizational goals. However, AI’s role as a mediator between these variables and employee performance was found to be statistically insignificant. This suggests that while AI facilitates HR processes and supports strategic decisions, its integration as a mediator depends on factors such as technological readiness and employee adaptability.

This study underscores the importance of aligning SHRM and Organizational Creativity with technological advancements to enhance employee performance. While the mediating effect of AI requires further exploration, its potential to transform HR and creativity processes remains promising. These findings provide valuable insights for organizations seeking to optimize employee performance by leveraging sustainable practices, fostering innovation, and integrating advanced technologies.

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.