https://docs.google.com/forms/d/e/1FAIpQLSewmE-6j2N_eopf4lZGf7YeX3VPJlpSjnlWQZ0LQ8R4KJG9Bg/viewform?usp=sf_link
Dear academic community,
I would like to invite you to participate in a survey that focuses on artificial intelligence, technostress, and their impact on productivity. Artificial intelligence (AI) is a field of technology that focuses on simulating human intelligence and automating tasks. AI can have a significant impact on academic productivity in a number of ways, such as automating tasks, helping with data analysis, and providing personalized learning experiences. However, AI can also lead to technostress among academic workers. Technostress is an emotional state that is caused by the use of technology and is characterized by feelings of stress, anxiety, and frustration. Technostress can be caused by a number of factors, such as overload, technological problems, and uncertainty about how to use technology.
Technostress can have a negative impact on academic productivity. Those who experience technostress may be less productive, more likely to make mistakes, and more likely to feel burned out. Technostress can also have a negative impact on the learning experience. Those who experience technostress are less likely to be interested in learning, less likely to participate actively in class, and more likely to feel overwhelmed.
It is important to research the relationship between AI, technostress, and academic productivity in order to understand how to use AI safely and effectively in the academic environment.
The survey is anonymous and voluntary; we will analyze the responses once the survey is concluded.
Note: If you have any insights or suggestions regarding the topic, please don't hesitate to contact me via e-mail. After the research is concluded, we would be pleased to send you a summary of the study.
Best regards,
Author:
PhDr. Alžbeta Simon
Department of Management,
J. Selye University, Slovakia
E-mail address: [email protected]
Keywords: Artificial Intelligence, Productivity, technostress, academic workers,
human intelligence, the academic community
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