Creating a Community of Artificial Intelligence (AI) Inquiry in Higher Education: Strategies for Building Bridges to Educate, Engage, and Empower Peers in High Education to Embrace Technological Change
Technology is a unique element of today’s business world and academic institutions, but two key facts exist. First, technology is ever changing. Second, some people embrace it or struggle to avoid technology. However, my purpose for tonight is to help every to “build bridges” for change to help improve our strategies to education, engage, and empower others in our profession, as well as our students. Let us imagine our educational environments where Artificial Intelligence (AI) is no longer property situated in STEM or computer departments – rather it has moved throughout the other departments, faculty lounges and other areas of the university setting. It is no longer when it happens, but it is here and now – so now is the time to decide. I am here to help create bridges, erode barriers, and help with a new story line to encourage each of you as my peers to “seize the moment” and reach out and share how AI can help change, create, build, and reshape the way we create knowledge, assessments, and our overall approach to pedagogy. While many faculty have been trying to bounce back from the Covid-19 Pandemic, some educators are still split on the acceptance of technology, but the Pandemic did change the minds of many instructors to rethink how technology can help them. Further, some educations still feel skeptical of AI or perhaps overwhelmed if they do not feel they have sufficient skills sets for embracing AI; thus, this opens the floodgates for a dialogue among educators to be addressed today. This discussion is not one for just one’s department or general body of knowledge, but it should engage in a cross-disciplinary culture of inquiry whereas we, as educators, can explore AI in an ethical, critical, and creative way. The core pillars of our AI Inquiry community surround 3 key strategies: 1) Educate; 2) Engagement; and 3) Empowerment. First, we need to develop a strong foundation for building AI literary, as well as enhancing our technology skill sets. Second, if we can engage other fellow educators in discussions, chat sessions, workshops, and/or beta testing new AI features and applications. Finally, we need to emphasize the need and power of AI technology among our ranks, the stronger we are in the use and application of AI applications, we can start creating better innovative and engaging learning moments for our students.
The Impact of Extended Model of Heuristic Bias on Cryptocurrency Investment Decision
In this industrial era 4.0, cryptocurrency has become a new emerging investment instrument. Due to its high volatility, it is categorized as high risk. For that, we try to examine cryptocurrency investment decisions using the heuristic bias theory approach. The research method is quantitative, using primary data collected from distributing questionnaires to respondents. The respondents of this study are investors who have and are still actively investing in cryptocurrency. Primary data analysis uses structural equation modeling partial least squares (SEM PLS) using SMART PLS software. The results of this study state that availability bias, overconfidence bias and anchoring and adjustment have a significant positive effect on cryptocurrency investment decisions, while Gambler's fallacy and representativeness bias do not have a significant effect