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A Methodological Framework for AI-Integrated Alternative Assessments in Engineering Education
This paper presents a methodological framework (2A2CAI) for integrating AI into alternative assessments for culminating courses in Malaysian engineering programs at the university level, focusing on automated grading and personalized feedback to evaluate both cognitive and non-cognitive skills.
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