Opportunities and Challenges of AI to Support Student Assessment in Computing Education: A Systematic Literature Review

Investigating how Artificial Intelligence can support student assessment in computing education through a systematic literature review of twenty studies from the past decade demonstrates AI's effectiveness in classifying students' learning profiles, predicting employability, providing real-time assessments, facilitating targeted interventions, and improving learning outcomes through personalization.

: This study investigates how Artificial Intelligence (AI) can support student assessment in computing education through a systematic literature review of twenty studies from the past decade. AI's evolution has significantly impacted various fields, including education, offering advanced capabilities for personalized teaching, continuous evaluation, and performance prediction. Analysing these studies, evidence showed a focus on undergraduate students and the employment primarily face-to-face tea

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