A Methodological Framework for AI-Integrated Alternative Assessments in Engineering Education

This paper proposes a methodological framework (2A2CAI) for integrating AI into alternative assessments in Malaysian engineering university programs, focusing on culminating courses and alignment with Industry 4.0 competencies. The framework development includes literature review, focus groups, pilot studies, and expert validation to assess both cognitive and non-cognitive skills in higher education engineering contexts.

Recent trends indicate a significant rise in artificial intelligence (AI) usage in engineering education, highlighting the need for alignment with the Fourth Industrial Revolution (IR4.0) and 21st-century skills. Traditional assessment methods often fail to promote higher-order thinking skills needed to solve complex real-world problems. This paper presents the 2A2CAI framework, a methodological approach for alternative assessment in culminating courses (2C) within Malaysian engineering programs

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