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Started 2 January 2025

What is the "Life & Expectation, Of The Barely Invited But In Reality Uninvited Guest's Philosophy" ?

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The Perpetual Emptiness of Academic Philosophy, and its strange inability to address the one issue that matters
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  • Lord Jerome WhitcroftLord Jerome Whitcroft
PLEASE NOTE:  I AM NOT THE AUTHOR OR A CO-AUTHOR OF THIS WORK    However, I commend to you this brilliant paper by Peter Eastman, written in 2014. What's wrong with Philosophy? Nothing, but it is the post-moderne philosophers that have lost touch with the legacy of ancient wisdom, in which lies the key to the locked Self. The abandonment of the principles of epistemology, most notably Critical Thinking in modern scholarship and education, has rendered philosophers impotent to affect real metaphysical inquiry and a meaningful understanding of one's existence; one's ontological dilemma. Of course, no-one wants to discuss the bull in the China shop: the stampede to concept and fallacy reification in 21st-century academia. Or, do we? The Humanities are under attack from without, probably due to the expensive drivel and meaningless, self-serving output that Ivory Towers churn. Perhaps the answer is in the deceptive methodology (a posteriori logic), the vacuous speculations, overt manipulation and dissent ping-pong which have provided fruitful pickings for scholarly enterprise; Ivory Towers must be maintained and defended, at any cost, it seems. Perhaps pay-rolled philosophy professionals portray pointlessness purposely? You are invited to join the discussion group as one looks forward to your comments and contributions. In Xenia. JW
A call fort participants: Exploring the Role of Artificial Intelligence in Enhancing Emotional Leadership in Higher Education - Dissertation ID: 29277
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  • Heath ArmbrusterHeath Armbruster
INTRODUCTION
The purpose of this research is to find out how effective artificial intelligence (AI) tools are in enhancing the emotional intelligence (EI) of leaders of higher education institutions. The study aims to find out how AI can help leaders understand and manage emotions within organizations.
RESEARCH AIM
This study aims to establish whether EI for academic leaders can be developed by AI software, thus improving leadership outcomes within higher education.
RESEARCH OBJECTIVES
Identify and Evaluate AI Tools:
Review existing AI tools that are designed to analyze emotions to help communication and support leadership.
Check if these tools are applicable in higher education settings with a focus on EI aspects such as sentiment analysis, emotion recognition, and optimizing communication through various features.
Do a Primary Research Study:
Design and carry out a study where education administrators will employ a chosen AI tool within simulated conditions as well as real-world circumstances.
These changes will then be measured against their EI levels as well as effectiveness in leadership using survey approaches, behavioural observations, and feedback analysis techniques involving both qualitative and quantitative elements.
Analyze the role of AI In leadership scenarios:
Explain how AI tools offer actionable insights to support decision-making among leaders under different emotional circumstances focusing on EI aspects like empathy, conflict resolution, and effective communication.
RESEARCH QUESTIONS
What does the identified AI tool justify regarding sentiment or emotion analysis about managing higher education?
How does the AI-assisted tool change EI as well as the leadership effectiveness of educational leaders across real-life situations?
What are the benefits of having AI software in providing direction and recommendations for improving important aspects such as empathy, conflict resolution and effective communication in leadership scenarios?
What do educational leaders think are the advantages and disadvantages when it comes to using AI for leadership purposes in higher education?
LITERATURE REVIEW
Emotional Intelligence in Leadership:
A leader should have high emotional intelligence, especially when it comes to higher education. Daniel Goleman divided EI into five areas: self-awareness, self-regulation, motivation, empathy, and social skills. EI models like Salovey and Mayer’s among others provide a comprehensive view of its components and how it relates to leadership (Goleman, 2020; Brackett et al., 2011).
AI in Emotional Analysis and Sentiment Analysis:
AI tools for emotion and sentiment analysis employ natural language processing along with deep learning to interpret human emotions. IBM Watson, Google Cloud Natural Language API, and Affectiva are some examples of such tools. The use of these tools presents great potential in several domains e.g. in the educational sector where they reveal the emotions behind data and assist in decision-making (Ferrucci et al., 2010; Picard, 2010; Liu, 2010).
Integration of AI and EI:
Combining AI with EI can improve management practices. Through continuous unbiased emotional analysis, AI tools may be used to assist leaders in managing their emotions better. However, there are issues such as data privacy concerns regarding ethical considerations or possible biases within AI algorithms (McDuff et al., 2014; Grefenstette et al., 2015; Turkle, 2011).
Methodology:
Mixed-Methods Design:
The research employs a mixed-methods design that combines qualitative and quantitative methods to give a holistic understanding of the effects of AI on EI among educational leaders.
Participants:
Participants in this study are faculty members, Program Heads, Academic Chairs, Associate Deans, and Deans at higher education institutions. This choice will be guided by their leadership positions as well as their willingness to participate in the research process.
Data Collection Methods:
Scenario-Based Analyses:
Participants will go through various leadership scenarios where they consider what it would have been like with AI tools and what it is like without them which will enable a comparison of results about AI’s impact on decision-making, emotional control, and effective leadership.
Follow-Up Questionnaires:
Detailed feedback on the experiences of participants during the scenarios and how they perceived the effectiveness of AI tools will be gathered through questionnaires.
Surveys:
Surveying quantifies EI parameters before using AI tools and after using them. Significant differences and correlations between AI tool use and improvements in EI can be revealed by statistical analyses.
Data Analysis Techniques:
Thematic Analysis:
Thematic analysis will be used to analyze qualitative data from scenario-based analyses as well as follow-up questionnaires to find patterns or themes.
Statistical Analysis:
Quantitative data from surveys are analyzed statistically using techniques such as paired t-tests, regression analysis and ANOVA to determine the impact made by AI tools on EI levels.
Ethical Considerations:
Confidentiality:
All participant data will be coded under unidentified names and stored securely away from unauthorized persons and only accessed by authorized personnel. Informed consent will be sought ensuring voluntary participation with confidentiality guaranteed.
Ethical Research Practices:
Ethical approval shall be requested from the relevant Institutional Review Board, full disclosure of the study purpose, procedures and potential benefits will be made available to participants and a debriefing document explaining the findings of the study will be issued.
Limitations:
Sample Size and Generalizability:
The sample size may affect the generalization of the findings, so efforts aimed at ensuring that a wide range of samples are included in this study.
Response Bias:
To reduce bias during participant response, anonymity and privacy of participants will be observed.
Technological Limitations:
Clear instructions together with technical support shall cover technology-related issues.
Subjectivity in Qualitative Analysis:
To enhance reliability, multiple coders will independently analyze qualitative data.
Limited Longitudinal Data:
Short-term impacts are examined in this research with recommendations for future research focusing on long-term consequences.
This is limited to educators within Canada. Should anyone be interested, please reach out.

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