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Navigating the Digital Era: AI's Influence on Educational Quality Management Adeoye, Moses Adeleke; Obi, Sabina Nwakaego; Sulaimon, Jamiu Temitope; Yusuf, Jamilla
JERIT: Journal of Educational Research and Innovation Technology Vol. 2 No. 1 (2025): June
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jerit.v2i1.18

Abstract

Artificial Intelligence (AI) has a major impact on the world of education, both positively and negatively. Positively, AI can increase the efficiency and personalization of learning. This technology enables adaptive learning systems that adjust materials and learning speeds according to student needs. Teachers are also helped by the existence of automatic evaluation systems, analysis of student learning data, and virtual assistants to answer student questions in real-time. In addition, AI can expand access to education through intelligent and interactive online platforms, reaching even remote areas. However, there are also challenges and negative impacts. Reliance on technology can reduce social interaction and the role of teachers as primary educators. Not all students or schools have access to adequate devices and internet connections, which can widen the educational gap. On the ethical side, AI raises concerns about data privacy and the potential for algorithmic bias in assessments or recommendations. This study explores the impact of Artificial Intelligence (AI) on education quality management. It highlights the challenges faced by traditional systems in a rapidly digitizing world and explores key AI technologies such as data analytics, personalized learning platforms, and administrative efficiency tools. The paper also discusses how AI can enhance existing quality management frameworks by encouraging continuous improvement models and promoting stakeholder engagement. It critically examines ethical considerations of AI integration, acknowledging potential bias and privacy concerns. It also discusses barriers to implementation such as resource constraints and resistance to change. It proposes recommendations for future policy development and responsible implementation of AI, including establishing guidelines for the ethical use of AI, prioritizing data privacy, and fostering a culture of continuous learning and adaptation. It emphasizes the need for a proactive approach to integrating AI into educational quality management.
Breaking Barriers in Higher Education Leadership: Empowering Educational Personnel with the 3M Management Model Adeoye, Moses Adeleke; Oladimeji, Rasheedat Modupe; Yusuf, Jamilla
International Journal of Research in Education Vol. 4 No. 2 (2024): Issued in July 2024
Publisher : LPPM Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/ijre.v4i2.458

Abstract

This study aims to explore the potential of the 3M Management Model in empowering educational personnel to break barriers in higher education leadership. The objectives of the study seek to bridge the gap between theory and practice in higher education leadership by exploring the potential of the 3M Management Model and providing evidence-based insights that can inform decision-making and improve leadership development programs. The method used in this research is a Systematic Literature Review. The result found that educational leaders can develop their leadership abilities and encourage constructive change within their institutions by implementing this paradigm. The advantages of using the 3M Management Model are examined on how it can promote an innovative culture, enhance decision-making procedures and boost output. It also emphasizes how critical it is to cultivate a growth mentality, put successful procedures into place and use pertinent metrics to gauge performance. Higher education institutions can overcome obstacles and achieve sustainable growth and success by equipping their staff with this strategy