Enterprise AI Analysis: Higher Education
A Critical Hermeneutic Phenomenology of AI Fears in Retiring ELT Professors
Article: A critical hermeneutic phenomenology of the fears of artificial intelligence (Al) as experienced by retiring university english language teaching (ELT) professors
Author: Ferdinand Bulusan, PhD, EdD (Isabela State University, The Philippines)
Publication: Discover Artificial Intelligence (2026). DOI: 10.1007/s44163-026-01124-3
Key Findings: This study explores the complex fears of AI among retiring English Language Teaching professors in the Philippines, revealing anxieties deeply tied to professional identity, pedagogical values, and the future of humanistic education. It introduces Bulusan's Iceberg of AI-induced Fears.
Executive Impact & Strategic Implications
This research provides crucial insights for higher education leaders navigating AI integration, particularly in understanding the human and cultural dimensions of technological change among experienced faculty.
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Senior Faculty Engaged
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Core Fear Themes Revealed
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Validity Index for Protocol
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Years of Collective Experience
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Existential Obsolescence
Vicarious Pedagogical Fear
The Corrupted Inheritance
Existential Obsolescence: The Fear of Becoming a Pedagogical Ghost
This theme captures the deep dread among retiring professors of becoming irrelevant, invisible, and ultimately obsolete in a profession that has defined their life's work. It reflects a condition where they feel functionally bypassed by AI, threatening their self-worth and professional identity.
Case Study: The "Useless" Educator
Participant P6: "With the use of AI among my students, I feel kind of [being] 'left out'. I feel like I am useless in class." This sentiment, echoed by others, highlights a profound sense of marginalization when AI tools enable students to bypass traditional pedagogical processes.
An observation during a brainstorming session for an essay revealed students quietly using AI on their phones, producing outlines while the professor (P3) attempted to facilitate a group discussion, leading to distracted engagement. This practical bypass of the teacher's role in real-time reinforces the fear of being rendered invisible.
| Aspect | Traditional Professor Identity (Pre-AI) | AI-Challenged Professor Identity (Post-AI) |
|---|---|---|
| Core Role |
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| Sense of Self-Worth |
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Vicarious Pedagogical Fear: Apprehension for the Deskilled Student
This ethical dimension of fear is not for themselves but for their students, manifesting as apprehension about the long-term cognitive and characterological consequences of over-reliance on AI, threatening students' fundamental intellectual skills and resilience.
"Erosion"
of Basic Skills & Critical Thinking
Insight: The Value of Productive Struggle
Participant P9: "Learning a language is hard; it involves making mistakes, feeling frustrated, and pushing through. This struggle builds character. If AI makes the process too easy... I fear we may be robbing our students of the opportunity to develop that intellectual and emotional fortitude."
This highlights a deep concern that AI's "frictionless efficiency" undermines the critical role of "productive struggle" in developing cognitive resilience and character, a value deeply embedded in Filipino culture (pagtitiis).
The Corrupted Inheritance: Fearing a Future of Devalued Humanity
This systemic fear encompasses a dread that the humanistic values, process-oriented learning, and cultural integrity that have been the bedrock of their careers will be systematically eroded by the logic of AI-driven automation, leaving a "corrupted inheritance" for future generations.
"Devaluation"
of Process and Academic Integrity
Insight: Preserving Cultural and Linguistic Diversity
Participant P10: "My greatest fear is the erosion of linguistic diversity. The English taught by many AI models is a standardized, often Americanized, English. I fear it will devalue our own vibrant Philippine English."
This specific postcolonial anxiety underscores how global, Western-centric AI models threaten to homogenize language, potentially erasing unique cultural and linguistic identities nurtured by ELT professors for decades. It's a fear that AI could become a subtle form of linguistic colonization.
Bulusan's Iceberg of AI-Induced Fears Model
Retiring ELT Professors' Professional Identity (Contextual Source)
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Fear of Artificial Intelligence (Initiating Force)
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Corrupted Inheritance
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Vicarious Pedagogical Fear
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Existential Obsolescence
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The Fear of Becoming A Pedagogical Ghost
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Your Phased AI Implementation Roadmap
A successful AI strategy requires careful planning, empathetic faculty development, and robust policy frameworks. Here's a typical roadmap adapted for higher education.
Phase 01: Discovery & Needs Assessment
Conduct a comprehensive audit of existing pedagogical practices, identify areas most impacted by AI (positive & negative), and gather faculty perceptions across all career stages. Prioritize qualitative insights from senior faculty.
Phase 02: Policy & Ethical Framework Development
Establish clear, human-centered AI policies addressing academic integrity, data privacy, and responsible use. Co-create these guidelines with faculty and student input, especially considering cultural nuances.
Phase 03: Empathetic Faculty Development
Design multi-tiered training programs that go beyond technical skills. Offer "reverse mentoring" where senior faculty can share pedagogical wisdom and ethical concerns, positioning them as guides, not just learners. Focus on AI as augmentation, not replacement.
Phase 04: Piloting & Iteration
Implement AI tools in controlled pilot programs, gathering feedback on effectiveness, ethical implications, and impact on learning outcomes. Continuously refine strategies based on real-world experiences and emergent fears.
Phase 05: Sustained Integration & Cultural Preservation
Scale successful AI integrations while actively safeguarding humanistic values, promoting critical thinking, and ensuring the preservation of cultural and linguistic diversity in curricula. Foster ongoing dialogue and research into AI's long-term societal effects.
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