Moving into the Future
Silent-Office : A Framework for Self Reliant and Self Sufficient People View Digital Media
Paper Presentation in a Themed Session Bala Subramanian
A silent-office might be a solution for everyone to interact with the rest of the humanity considering how extensive humanity in scope and duration. Currently humans interact with one another using natural language, signs, art, music and other forms of speech. However, these may not be two-way and easily misunderstood and lost due to lack of uniformity, and consistency across cultures and times. To overcome these problems and to ensure outcomes it is proposed that we standardize all relationships using a single “self and all the rest framework. Silent-Office is a digital framework to ensure that with the help of AI and automation we can address all the needs of an individual as well as the society in all cultural, religious and political settings and bring prosperity and peace to humanity not just for the present day but in perpetuity. Without violating the natural laws a societal spacetime framework can enable multiverses to be explored to augment human capabilities. With AI and robotics human values of sentient consciousness can facilitate equality, inclusion, wellness, peace and tranquility can all be achieved.”Self and all the rest” might be enough to describe and account for all the diversities felt and shared from the beginning of time to eternity.
Advancing Global Citizenship Education through AI: Balancing Neoliberal, Liberal, and Critical Approaches in Knowledge-Based Economies View Digital Media
Paper Presentation in a Themed Session Nancy Xu, Yihang Li
Global Citizenship Education (GCE) is crucial for addressing global challenges like inequality, poverty, and social violence. In a rapidly advancing technological society, knowledge-based economies (KBEs) require individuals to possess new skills to thrive. This study explores how to prepare students as global citizens with the skills needed for the digitalized world, particularly in KBEs. It highlights the importance of transforming education to prioritize diversity, equity, and inclusion (DEI) through personalized learning models enabled by artificial intelligence (AI). While existing research has explored AI's role in supporting GCE, there is limited analysis of various organizations—public, private, and nonprofit—implementing AI in GCE. This study examines how these organizations apply AI to support personalized learning and GCE, identifying their practices within neoliberal, liberal, and critical educational frameworks. Using typologies that categorize AI-driven education initiatives as industry-driven, social-driven, and mixed industry-social-driven, the study analyzes different approaches to GCE. Findings suggest that neoliberal AI education emphasizes standardized, market-oriented outcomes, potentially perpetuating disparities. In contrast, critical GCE, driven by social initiatives, focuses on ethical practices that promote DEI and empower marginalized communities. A mixed liberal approach balances economic goals with humanitarian values, fostering both human capital and educational equity. This study underscores the potential of mixed industry-social-driven AI in education to enhance personalized and equitable learning, address global challenges, and promote ethical AI use. It provides insights for educators, policymakers, and technology developers on fostering GCE in a knowledge-based economy, emphasizing the need for a more inclusive and globally sensitive approach to AI-driven education.
Dimension Structure of the Energy Manager Training Reaction Questionnaire in Indonesia: Exploratory and Confirmatory Factory Analysis
Paper Presentation in a Themed Session Todo H Simarmata
The majority of training evaluation research focuses on trainee responses, while there is little research that examines the construct validity and usefulness of participant responses to training and their substance. The purpose of this research is to determine whether Morgan and Casper's training reactions questionnaire (TRQ) can be utilized effectively in Indonesia. The responses of people who had participated in Energy Manager training were also analyzed in the study to investigate which facets of training programs influenced the overall level of participants’ contentment. Exploratory factor analysis identified comparable structures between earlier research and the current investigation. The Confirmatory factor analysis confirmed that the questionnaire of training reaction was suitable for the context of Indonesian energy manager training evaluation. The findings support the construct validity and reliability of the TRQ and can be used effectively in Indonesia. We were successful in describing 85.469% of the overall variation in the data, and based on the findings of regression analysis, it was found results indicated that the usefulness of training had the highest explained variance, followed by satisfaction with the instructor. An Implication to the training evaluator is to explore more understanding of the factors that contribute to the usefulness of training and satisfaction with the instructor.
The Impact of the Digital World: How Generation Z's Use of Technology Affects Their Mental and Physical Well-being View Digital Media
Paper Presentation in a Themed Session Anna Marija Nikitina
The study analyzes the digital behavior patterns of Generation Z and their impact on mental and physical health. Using stratified random sampling, 250 participants aged 12 to 27 were surveyed. The study identified four main user clusters: moderately active, intensive, specialized, and minimal engagement groups. The results indicate that the interaction between digital behavior patterns and health indicators is complex, with intensive digital activity often associated with higher anxiety and negative habits, while a balanced approach improves mental and physical well-being. Gender analysis revealed that women frequently use social networks and online educational resources, while men are more involved in video games. The study's results can serve as a basis for strategies that promote healthy digital habits and balanced technology use.
