Call for papers: educational leadership, management, and policy for preparing the future workforce
Call for papers: educational leadership, management, and policy for preparing the future workforce
Call for papers: educational leadership, management, and policy for preparing the future workforce
Introduction
The rise of artificial intelligence and digital technologies in the academic research field has really changed the way scholarly works are developed, peer-reviewed, and then published. The academic world not only expects to get the best research done but also in a well-organised, ethical, and ready-for-publication way, and the researchers have to do all that. The PhD Assistance Research Lab provide support in the process of research paper development and submission for researchers.
We are here to help scholars who respond to calls for papers, not only in the traditional fields but also in emerging ones like educational leadership, artificial intelligence in higher education, and academic governance and doctoral supervision. Academic support offered systematically will help the researchers to sharpen their ideas, power up their arguments, and get their work aligned with the journals’ expectations.
Scope
The main focus of this issue is the shifting educational leadership role in the ethical, strategic, and efficient execution of artificial intelligence in doctoral education. It examines the various potential roles AI can take in student supervision, research design and evaluation, and policy making and institution governance. The discussion centres on the different types of leadership that can bring about a win-win situation where innovation and academic values coexist, thus ensuring the integrity of the scholarly community. The editors invite submissions that demonstrate AI applications at various levels, including disciplinary, institutional, and cultural, and that explore the multifaceted aspects of digital transformation in higher education, encompassing both opportunities and challenges.
Know More About This Issue
The adoption of AI technologies is growing, and the integration of such technologies—like generative language models, intelligent feedback systems, and data-driven analytics—has started to transform the traditional models of supervising PhD candidates. Although these tools have the capability to enhance the supervision process significantly by providing higher-quality feedback, greater efficiency, and better accessibility to academic support, they also come with the negative side of authorship, academic integrity, bias, and the changing nature of the supervisor’s role, among others. The reason behind the publication of this special issue is the critical inquiry into how AI can be integrated ethically in doctoral education systems. Introducing both prospects and threats, the issue seeks to guide institutions in their strategies, policy-making, and teaching innovations that will lead to research training with AI’s engagement in a manner that is ethical, transparent, and effective.
Key Themes
Journal Guidelines:
Authors are expected to respond to all editorial communications at once and to be responsible for the correctness, integrity, and reliability of their work. Correspondence with the journal is to be treated as confidential until the final editorial decision has been made.
The authorship will consist of all who have greatly contributed to the research, while the rest will be acknowledged in the manner appropriate to their contribution. Those who did not take part should stay out of the list. AI tools are not allowed to be authors. When AI tools are used in the manuscript, their use must be explicitly stated, giving the name and version of the tool; routine spelling or grammar checks do not have to be disclosed. The editor and the publisher will have the right to decide whether this use is permissible or not.
In the case of research with human participants, the authors have to state whether ethical approval was needed and granted, and they should also communicate informed consent procedures if applicable.
Important Dates
Submission Deadline: 01 June 2026
To ensure successful and timely submission to the special issue “Educational Leadership, Management, and Policy for Preparing the Future Workforce,” researchers are encouraged to leverage the expert services of the PhD Assistance Research Lab, offering comprehensive support from conceptualisation to final manuscript submission within the specified deadline.
Reference
Sawalhi, R., Grollmann, P. C., Campbel, P., & Klien, D. (n.d.). Educational leadership, management, and policy for preparing the future workforce: Global perspectives and local realities. Education Innovations: Systems and Future Learning. Educational Leadership, Management, and Policy for Preparing the Future Workforce: Global Perspectives and Local Realities | Emerald Publishing
We offer our Greatness in Various Parts of Research, and we help you with any phase of your Process. Make a Smart Decision and get your Paper Published.