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Journal : La Ogi : English Language Journal

A QUALITATIVE STUDY ON MACHINE–HUMAN CO-CREATION: A SECONDARY DATA ANALYSIS OF RESEARCH TRENDS Mohamed, Sheik; Nirmala, Dr.; Hermansyah, Sam; Wahyuddin, Nur Rahmah
La Ogi : English Language Journal Vol 11 No 2 (2025): JULY 2025
Publisher : Prodi Pendidikan Bahasa Inggris, FKIP, LP3M Universitas Muhammadiyah Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/loj.v11i2.2255

Abstract

The intersection of artificial intelligence (AI) and human creativity has emerged as a dynamic area of exploration, particularly with the development of generative AI models like GPT-4, DALL·E, and MidJourney. These tools not only automate tasks but also actively contribute to creative processes, resulting in collaborative co-creation between humans and machines. This study investigates the evolving role of AI in creative industries, analyzing secondary data from literature published between 2022 and 2025. By examining key theoretical frameworks, methodologies, and trends, the study identifies the methodological shift from experimental design to reflective frameworks, highlights a lack of unified definitions for co-creation, and emphasizes the growing need to engage with the cultural and ethical implications of AI in creativity. The research contributes to a deeper understanding of machine–human co-creation, its implications for authorship, and the future trajectory of creative partnerships between humans and AI.
The Sheik Leadership Model: An AI-Informed, Patience-Centered Framework for Sustainable Leadership in Higher Education Mohamed, Sheik; Nirmala.M, Dr.; Premnivas, Dr.G.C.
La Ogi : English Language Journal Vol 12 No 1 (2026): JANUARI 2026
Publisher : Prodi Pendidikan Bahasa Inggris, FKIP, LP3M Universitas Muhammadiyah Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/loj.v12i1.2671

Abstract

Leadership in higher education increasingly operates within complex governance structures marked by ethical accountability, emotional pressures, and long-term institutional responsibility. While prevailing leadership theories emphasize vision, service orientation, and moral conduct, patience remains underdeveloped as a core leadership construct. This study proposes the Sheik Leadership Model (SLM), an AI-informed, patience-centered leadership framework designed to explain sustainable leadership practices in higher education. Drawing on secondary literature and AI-assisted conceptual synthesis, the model reconceptualizes patience as an active regulatory mechanism that stabilizes ethical governance, emotional intelligence, mentorship effectiveness, and long-term institutional vision. Adopting a qualitative, conceptual research design, the study further enhances theoretical rigor through simple mathematical representation, illustrating patience as both a stabilizing multiplier and a threshold condition distinguishing reactive from sustainable leadership. The study contributes to leadership theory by positioning patience as a foundational mediator that supports decision-making consistency, institutional trust, and long-term sustainability in higher education leadership