This article delves into the dynamic challenges confronting Higher Education Institutions (HEIs) globally, emphasizing the urgency for innovative solutions. The escalating number of students and the paradigm-shifting impact of the COVID-19 pandemic have forced HEIs to reevaluate pedagogical strategies, integrating blended and online learning models. Episodic change, characterized by distinct periods of transformation, necessitates a nuanced approach, emphasizing the need for flexibility, adaptability, and strategic planning. The article also highlights the imperative to update the skills of educators and students, with a focus on overcoming barriers to effective digital education implementation. Teaching and Learning Centers (TLCs) emerge as potential models for sustainable transformation, yet challenges persist in defining their competencies and roles. The paper advocates for a holistic approach, prioritizing strategic planning, faculty development, and clear frameworks for units like TLCs. The article concludes by emphasizing the innovative potential of TLCs and proposing future directions, including the exploration of competencies required for TLC development and alternative models for navigating episodic changes beyond the context of the pandemic, and strategies for addressing challenges posed by Artificial Intelligence (AI) integration. The multifaceted role of AI in personalized learning, analytics, and administrative processes presents opportunities and challenges, including ethical considerations, data privacy, and inclusivity.
Accurate sales forecasts help companies make business decisions. However, quantitative forecasting is difficult due to complex environmental changes and company characteristics. In this study, we attempt to analyze cyclical data for forecasting.
This paper focuses on learning outcomes in the context of Computer Science Higher Education with the integration of Artificial Intelligence (AI) tools. As the rapid development of technological tools reshapes educational landscapes, educators face the challenge of effectively incorporating AI tools into pedagogical practices. While AI tools in Computer Science promise advantages, such as faster code generation and the optimization of learning time, concerns persist about potential over-reliance leading to reduced student learning. This study focuses on gathering evidence from students’ perspectives on the benefits of AI tool utilization and aims to scrutinize teachers’ practices in overcoming challenges associated with verifying learning outcomes. A survey questionnaire designed for students and teachers explores the areas of AI tool application, perceived benefits, impact on learning, practical application, and methods for validating student learning in the presence of AI. This study contributes to the ongoing discourse on the intersection of AI, pedagogy, and student success in Computer Science Higher Education.
The problem of understanding trust relations in modern society is extremely interesting nowadays. In our project, we are going to use Multi-agent systems (MAS) to model and reproduce experiments from social sciences to better understand how the relation of trust is shaped in society. In order to perform such experiments it is necessary to accurately represent trust and trustworthiness in MAS. In this paper, we introduce the model and an experimental implementation of benevolence, one of the most important components of trustworthiness.
More than 150 years have passed since the start of the gas business in Japan, and with the advancement of technology, gas has now become indispensable for making our lives comfortable and convenient. Furthermore, in recent years, fuel cells and high-efficiency water heaters have become more widespread, contributing to energy conservation and CO2 reduction in our daily lives. On the other hand, it is self-evident that the more gas is used, the more various opinions from users will increase. In recent years, there has been a movement for individuals to express their opinions on social media and other online platforms in an attempt to solve problems. The purpose of this study is to develop a new tool to visualize online opinions about gas, which has become increasingly used, and to provide information that will help gas utilities in their improvement activities quickly and simply.
