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Impact of AI ethics on school administrators’ decision-making: the role of sustainable leadership behaviors and diversity management skills - Current Psychology

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This study is grounded in decision-making theory, which explains how various cognitive and external factors shape leaders’ decision-making styles. Introducing new Artificial Intelligence (AI) technologies into schools has transformed leadership practices. By relying on their perspectives and understanding of ethics in AI, educational leaders incorporate it into their managerial tasks, including decision-making. The decision-making styles (DMS) of educational managers, representing the response pattern demonstrated by a manager in a decision-making situation, may be influenced by various factors, including attitudes toward the ethics of artificial intelligence (AT-EAI). However, the question arises of whether sustainable leadership behaviors (SLB) and diversity management skills (DMS) can mediate this relationship. Due to the gap in scholarly discussions, this study aimed to determine the mediating role of SLB and DMS in the relationship between AT-EAI and the decision-making styles of middle and high school managers. We used confirmatory factor analysis, structural equation modeling, and model fit indexes to address the study’s aims. Of 447 participants, 191 were female (42.8%) and participated in the current study. The results indicated that AT-EAI had a significant positive effect on Rational decision-making style (RDMS), Intuitive decision-making style (IDMS), and Dependent decision-making style (DDMS) (p < .001) and a significant negative effect on Avoidant decision-making style (ADMS) and Spontaneous decision-making style (SDMS) (p < .001). Furthermore, AT-EAI indirectly influenced RDMS, IDMS, and SDMS through SLB and DMS. These findings suggested that training educational leaders to improve their attitudes toward AI ethics while enhancing their sustainable leadership and diversity management skills can lead to more effective and ethical decision-making in schools.

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Chat GPT response:

8 key words-

Social media and attention span

Mental health effects of social media

Social media anxiety and depression

Cognitive neuroscience of digital addiction

Teenagers' self-esteem and social media

Digital wellness policies and youth

Neuroscience of online behavior

Social media impact on brain development

5 sub topics to explore-

Impact of Social Media on Adolescent Brain Development: Exploring how excessive social media use may affect neural structures responsible for attention, emotion regulation, and impulse control during crucial developmental periods in adolescence.

Neuroscience Behind Digital Addiction: Investigating how the brain becomes conditioned to seek out and engage with digital content, possibly leading to addiction-like behaviors and its connection to mental health disorders like anxiety and depression.

The Role of Social Media in Shaping Body Image and Self-Esteem in Teenagers: Understanding how platforms like Instagram and TikTok influence teenagers’ perceptions of themselves, contributing to heightened body image concerns and self-esteem issues.

Long-Term Effects of Social Media Use on Adult Cognitive Function: Studying how social media habits carry into adulthood and whether they have a lasting impact on attention, memory, and emotional regulation over time.

Policy and Education on Digital Wellness: Analyzing the effectiveness of current digital wellness policies and creating guidelines or interventions to help improve mental health, particularly for younger users, in a digital age.

One Academic Research Article Relevant to Hypothetical Person-

“The Impact of Social Media Use on Adolescent Mental Health: A Cognitive Neuroscience Perspective”

Abstract:
This article examines the neurological and psychological effects of social media usage in adolescents, with a particular focus on attention, emotional regulation, and self-esteem. The paper explores the mechanisms by which social media may induce anxiety, alter self-perception, and contribute to addictive behavior patterns. Using neuroimaging studies and longitudinal data, it sheds light on how prolonged social media exposure might impact cognitive function and mental health, especially in vulnerable populations like teenagers and young adults.

This research article would align with Dr. Brooks’ focus on the intersection of neuroscience, mental health, and social media.

Prompt to Imitate Your Person for Practice You are Dr. Elijah Brooks, a cognitive neuroscientist specializing in studying how social media affects mental health, particularly in teenagers and young adults. Your research focuses on the neurological impacts of digital behavior, including how social media use affects attention, anxiety, and self-esteem. You've worked closely with policymakers, advocating for digital wellness initiatives to mitigate the harmful effects of social media on mental health. In this interview, your goal is to inform the public and policymakers about the urgent need for healthier digital habits and the neuropsychological effects of excessive screen time on vulnerable populations.

Example Interview Questions You Could Practice:

1. “Dr. Brooks, can you describe the most significant findings from your research on the impact of social media on adolescent brain development?”

2. “You’ve testified before Congress about the need for better digital wellness policies. Can you explain what kind of policies you’re advocating for and why they’re essential for mental health?”

3. “What are some of the key cognitive functions that are most affected by excessive social media use in teenagers and young adults?”

4. “How do you see the relationship between social media use and anxiety disorders evolving, especially as digital platforms continue to grow in popularity?”

5. “As a neuroscientist, how do you approach the challenge of researching a constantly changing digital landscape, and what future directions do you think your field will take in understanding these effects?”

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1. Eight Keywords/Phrases for Database Search:

1. Space Habitat Design

2. Sustainable Space Habitats

3. Mars Colonization Engineering

4. Life Support Systems in Space

5. Aerospace Engineering for Long-Term Space Missions

6. Extreme Environment Materials

7. NASA Mars Mission Collaboration

8. Private Space Companies Habitat Development

2. Five Subtopics to Explore:

1. Materials for Space Habitats:

Exploring innovative materials like regolith-based structures or inflatable modules that can withstand extreme conditions on Mars or the Moon.

2. Life Support Systems:

Understanding how engineers design closed-loop life support systems that recycle air, water, and food for long-duration missions.

3. Challenges in Mars Colonization:

Examining the physical, psychological, and environmental hurdles of creating a sustainable human presence on Mars.

4. Collaboration between NASA and Private Sector:

Analyzing how partnerships between governmental and private aerospace entities are reshaping space exploration and habitat development.

5. Space Habitat Sustainability:

Researching sustainable energy sources, waste recycling, and growing food in space as part of a long-term strategy for supporting life beyond Earth.

4. Prompt

Imagine you're Amina Hassan, a Space Habitat Engineer collaborating with NASA and private space companies on designing sustainable habitats for Mars colonization. Your focus is on developing advanced life support systems, durable materials, and self-sustaining environments that can support human life during long-term missions. You’re currently working on a prototype for a Mars habitat that addresses both the physical and psychological needs of astronauts.

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AI ethics expert hiring

AI fairness in industry

Responsible AI leadership

AI governance in corporate settings

Ethical AI frameworks in business

AI transparency and compliance

Industry applications of AI ethics

AI risk management in enterprises

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Bias and Fairness in AI Algorithms

AI Transparency and Explain-ability

Accountability in AI Decision-Making

Ethical Frameworks for AI Deployment

Impact of AI on Socioeconomic Inequalities

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AI ethics in hiring

Ethical AI in policing

AI bias mitigation strategies

Responsible AI development

AI transparency and accountability

Fairness in AI systems

Ethical implications of AI in education

AI decision-making ethics

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The Effect of a Slowly Rocking Bed on Sleep - PubMed

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Rocking movements appear to affect human sleep. Recent research suggested a facilitated transition from wake to sleep and a boosting of slow oscillations and sleep spindles due to lateral rocking movements during an afternoon nap. This study aimed at investigating the effect of vestibular stimulatio …

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