STA630 GDB 1 SOLUTION FALL 2023 | RESEARCH METHODS | VuTech
Visit Website For More Solutions
www.vutechofficial.blogspot.com
KINDLY, DON’T COPY PASTE
STA630
GDB NO. 01
RESEARCH METHODS
FALL 2023
DUE DATE: 01-12-2023
GDB Question:
In the coming decades, artificial intelligence will almost certainly be deployed in every workplace. It will automate routine tasks while advancing the human skills and capabilities. A substantial possibility exists that it may result in the elimination or restructuring of conventional jobs. On the other hand, it will also create new employment opportunities, particularly in the fields of data analytics, human-AI collaboration, and the development of artificial intelligence software and apps. However, it's also necessary to comprehend the risks associated with the use of AI since it will reduce the use of the human intellect. Hence, it may have both positive and negative impacts at the same time. The rapid advancement of Artificial Intelligence (AI) has challenged researchers to test the underlying theories to investigate the relationship between AI and human efficiency.
Requirement:
a) After carefully analyzing the above scenario, you are required to identify which type of research (descriptive, exploratory, or explanatory) is most appropriate to be used for data analysis.
Answer:
Exploratory research involves investigating a topic when there is limited information available, aiming to gain a deeper understanding, identify variables, and generate hypotheses for further study. In the case of AI's impact on the workplace and human efficiency, an exploratory approach allows researchers to delve into the multifaceted aspects, dynamics, and potential consequences without predefined boundaries.
b) Provide sound justifications to support your choice.
Answer:
Complexity and Uncertainty:
The scenario highlights a complex interplay between AI integration, job dynamics, and the evolution of human roles. An exploratory approach allows for flexibility in examining these intricate relationships without presupposing outcomes.
Lack of Predefined Structure:
The rapid evolution of AI means there might not be established theories or frameworks to fully comprehend its effects on human efficiency. Exploratory research is apt for situations where the structure is not well-defined.
Generating Hypotheses:
Since there are potential positive and negative impacts of AI on the workforce, an exploratory approach allows researchers to generate hypotheses that can be further tested or refined through other research methods.
Identifying Variables:
With numerous variables at play such as job restructuring, skill development, AI application areas, and associated risks an exploratory approach aids in identifying and understanding these factors.
Adaptability and Flexibility:
Exploratory research permits adaptability to new findings and evolving trends in AI, ensuring that the study remains relevant and dynamic.