Integrating AI in Formative Assessment Under UDL Principles in Diverse Learning Environments

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Author(s): Rui Oliva Teles (Polytechnic Institute of Porto, Portugal)and Filipe T. Moreira (Instituto Politécnico da Guarda, Portugal)
Copyright: 2025
Pages: 28
Source title: Improving Student Assessment With Emerging AI Tools
Source Author(s)/Editor(s): Filipe T. Moreira (Polytechnic University of Guarda, Portugal)and Rui Oliva Teles (Polytechnic University of Porto, Portugal)
DOI: 10.4018/979-8-3693-6170-2.ch004

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Learning Assessment and Measurement

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Abstract

The integration of artificial intelligence (AI) in formative assessments within the universal design for learning (UDL) framework presents promising opportunities to enhance educational inclusivity and effectiveness. UDL emphasizes flexible teaching strategies to accommodate the diverse needs of learners. AI also offers the potential to personalize learning by providing real-time adaptive feedback, aligning with UDL's core principles of multiple means of engagement, representation, and expression. However, challenges remain, such as addressing ethical concerns, preventing algorithmic bias, and ensuring the equitable use of student data. The integration of AI-driven formative assessments in UDL-based learning environments requires thoughtful consideration of its implications to foster inclusive and equitable education for all students. This chapter takes a reflective look at this issue and presents alternative perspectives.

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Integrating AI in Formative Assessment Under UDL Principles in Diverse Learning Environments

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