Presentation on an Innovative 'Social Transcript' Model at the 2024 YÖKAK International Quality Assurance and Accreditation Conference

The 2024 International Quality Assurance and Accreditation Conference, organized by the Higher Education Quality Board (YÖKAK), was held as a significant platform aimed at enhancing the quality assurance and accreditation processes of higher education institutions. During the conference, the paper titled "A Proposed Model of  an Innovative 'Social Transcript' at Higher Education Level," presented with contributions from the Coordinatorship of Innovative Learning and Teaching-Artificial Intelligence, garnered great interest.

The presentation introduced an innovative social transcript model aiming to evaluate student development and success from a broader perspective in higher education. This model goes beyond traditional academic transcripts by aiming to document students' social, cultural, and personal development. The social transcript records students' participation in activities, certificates obtained, volunteer work, internship experiences, and other personal development activities, providing a more comprehensive evaluation for the post-graduation job market and academic fields.

The presentation detailed how the model could be implemented by higher education institutions, how the data obtained would be evaluated, and how this data would contribute to students' careers. It also emphasized that the social transcript model supports students' multifaceted development, promoting an educational approach that focuses not only on academic achievements but also on personal and social competencies.

The 2024 YÖKAK International Quality Assurance and Accreditation Conference continues to be a productive platform where many innovative ideas aimed at raising quality and accreditation standards in higher education are shared and discussed. In this context, the "Social Transcript" model is considered an important step towards developing new approaches in education and ensuring that students are evaluated in all aspects.

You can access the content of the paper prepared with contributions from the Coordinatorship of Innovative Learning and Teaching-Artificial Intelligence through the following link. We hope you enjoy reading it.