Status : Verified
| Personal Name | Sibayan, Jeffrey P. |
|---|---|
| Resource Title | Insights from private university leaders in Baguio City: a technology foresight study on Artificial Intelligence |
| Date Issued | 12 August 2024 |
| Abstract | Within the framework of technology foresight, this study has explored the insights and perspectives of Baguio City's big four universities toward the adoption of Artificial Intelligence (AI) in higher education. Through scenario building analysis, a technology foresight technique that captures future plausible scenarios through intuitive and logical linking of causal relationships of past and current key predictable variables (KPVs) and critical uncertainties (CUs), six plausible future scenarios have been developed. These scenarios provide a structured approach to analyzing the crucial role of higher education leaders vis-a-vis the impact of adopting AI in private higher education universities, specifically in Baguio City. A qualitative technology acceptance survey allowed the author to explore Baguio City university leaders’ perceptions toward AI’s ease of use, usefulness, and their behavioral intention to adopt AI. The internal environmental scan or Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis, in conjunction with the external environmental scan or Political, Economic, Social, Technological, Environmental, Legal (PESTEL) analysis, allowed the author to explore Baguio City universities’ internal strengths, weaknesses, opportunities, and threats vis-a-vis external environmental factors, namely: political, economic, social, technological, environmental, and legal aspects that have a profound effect in the adoption and implementation of AI; thus, the study has revealed that internal institutional strengths can be used to mitigate the impact of institutional weaknesses, as well as mitigate external threats, thereby, will lead to opportunities. Furthermore, this technology foresight study provides a comprehensive analysis that will guide the leadership of Baguio City universities prepare for a range of possible outcomes. |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Artificial Intelligence; Artificial Intelligence in Education; Technology foresight; Technology acceptance model |
| Material Type | Thesis/Dissertation |
Preliminary Pages
243.35 Kb
Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access