Search results

The purpose of this paper is twofold: first, to generate insight into the experiences of Syrian academics in exile in Turkey; and second, to explore approaches to collaboration and community building among academics in exile and with counterparts in the international academic community.

The study employs a hybrid visual-autobiographical narrative methodology, embedded within a large group process (LGP) design.

Findings are presented in two phases: the first phase presents a thematic analysis of narrative data, revealing the common and divergent experiences of 12 exiled academics. The second phase presents a reflective evaluation of undertaking the LGP and its implications for community building and sustaining Syrian academia in exile.

While this is a qualitative study with a small participant group, and therefore does not provide a basis for statistical generalisation, it offers rich insight into Syrian academics’ lived experiences of exile, and into strategies implemented to support the Syrian academic community in exile.

The study has practical implications for academic development in the contexts of conflict and exile; community building among dispersed academic communities; educational interventions by international NGOs and the international academic community; and group process design.

The study makes an original contribution to the limited literature on post-2011 Syrian higher education by giving voice to a community of exiled academics, and by critically evaluating a strategic initiative for supporting and sustaining Syrian academia. This represents significant, transferable insight for comparable contexts.

This chapter critically explores the transformative role of Artificial Intelligence (AI) in higher education, highlighting both the opportunities it presents and the challenges it imposes. Focused on pedagogical enhancement, it details how AI-driven adaptive learning systems, tutors, and curriculum adjustments contribute to personalized education. It further examines AI's efficiency in streamlining administrative tasks, like enrollment and support services, while addressing significant ethical concerns, including data privacy and algorithmic bias. Moreover, the impact of AI on research and development is discussed, showcasing its potential to revolutionize scientific discovery through advanced data analysis. A strategic framework is proposed for stakeholders to effectively navigate AI integration and digital transformation, emphasizing a balanced approach that prioritizes innovation, ethical considerations, and quality in the digital era of higher education.