The selective portfolio: Merging authentic and digital assessments in the age of generative Artificial Intelligence
Abstract
This article explores the selective portfolio as a pedagogical tool that bridges the gap between authentic and computer-based assessments. Authentic assessment, which emphasizes the development of skills through real-world tasks and both formative and summative feedback, requires flexible tools that capture students’ learning processes and outcomes. Digital assessment provides immediate feedback and analysis of learning, supporting transparent, dynamic, and student-centered practices. The selective portfolio combines the strengths of both, capturing the learning journey and encouraging critical thinking and self-assessment. With the advent of Artificial Intelligence, the integration of AI-based analytics into the portfolio enhances its role by providing real-time feedback and personalized insights, further supporting skill development. This paper provides a conceptual and methodological analysis of the bridge between authentic and digital assessments, focusing on the impact of the selective portfolio on skill development. The analysis reveals that the selective portfolio in the form of AI-powered selective portfolio facilitates continuous, personalized assessment, promotes deep engagement, and strengthens critical thinking throughout the learning process. In conclusion, the selective portfolio emerges as a key pedagogical tool that integrates authentic and digital assessments, enhancing digital literacy and learning in the age of artificial intelligence. The paper also reports exploratory empirical findings from a survey conducted among teachers, examining perceptions and practices related to AI-supported selective portfolios.