Date
6-19-2024
Department
School of Education
Degree
Doctor of Philosophy in Education (PhD)
Chair
Traci Eshelman
Keywords
Educational Leadership, Artificial Intelligence (AI) and Critical Thinking
Disciplines
Education | Educational Leadership
Recommended Citation
Abduljaber, Mousa Fayiz, "Perceived Influence of Artificial Intelligence on Educational Leadership's Decision-Making, Teaching, and Learning Outcomes: A Transcendental Phenomenological Study" (2024). Doctoral Dissertations and Projects. 5714.
https://digitalcommons.liberty.edu/doctoral/5714
Abstract
The purpose of this transcendental phenomenological study was to understand and describe the perceived influence of Artificial Intelligence (AI) on educational leadership's decision-making, teaching, and learning outcomes as revealed by educational leaders at a group of secondary public schools in the Middle East. The theory guiding this study was the distributed cognition theory, as it shows the dynamics of human cognition and AI cognition, making it possible to understand the perceived influence of AI. As the study reflected on AI’s past, present and, future, the central question that focused on this study is: How do educational leaders perceive the influence of AI on educational leadership decision-making, teaching, and learning outcomes? To establish how educational leaders perceive the influence of AI on educational leadership decision-making, teaching, and learning outcomes, a transcendental phenomenological approach was used to study the perceptions of educational leaders at a group of schools located in the Middle East. Transcribed individual interviews, focus group interviews, and a survey comprising 15 participants was conducted to collect data describing the perceptions of educational leaders. As the study reflected on AI's past, present, and future, it used a descriptive analysis underpinned by reduction, imaginative variation, and textual descriptions to show the perceptions of educational leaders about AI's on educational leadership's decision-making, teaching, and learning outcomes. There were four themes that emerged during data analysis: Critical thinking, decision-making, ethical concenrs, and grading and feedback. Emerging themes were analyzed using NVivo data analysis software. Overall, educational leaders perceived that AI would play a crucial role in the educational environment, impacting both themselves and the students.
