REIMAGINING RESPONSIBLE GENERATIVE AI ASSESSMENT IN INFORMATICS EDUCATION: INTEGRATING HUMAN AI COLLABORATION LEARNING ANALYTICS AND ISLAMIC ETHICAL INTELLIGENCE
Keywords:
Generative Artificial Intelligence, Human Ai Collaboration, Learning Analytics, Informatics Education, Islamic Ethical IntelligenceAbstract
The rapid adoption of Generative Artificial Intelligence (GenAI) is transforming assessment practices in informatics education, creating new opportunities for personalized learning, automated feedback, and data-driven decision making. However, current assessment models often prioritize technological efficiency while overlooking human collaboration, ethical responsibility, and the moral dimensions of AI use. This conceptual study aims to develop a Responsible Generative AI Assessment Framework by integrating Human AI Collaboration, Learning Analytics, and Islamic Ethical Intelligence for informatics education in Islamic higher education. Using a qualitative library research approach, the study synthesizes contemporary literature on generative AI, responsible AI, learning analytics, educational assessment, informatics education, and Islamic educational philosophy. The proposed framework consists of five interconnected dimensions: responsible GenAI utilization, human AI collaborative assessment, learning analytics, informatics competency assessment, and Islamic ethical intelligence. These dimensions promote transparent, accountable, and human-centered assessment while fostering digital competence, critical thinking, academic integrity, and ethical decision making. The framework contributes to contemporary educational assessment by aligning technological innovation with Islamic ethical values and sustainable human-centered learning in the era of Generative AI.
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Copyright (c) 2026 Achmad Firdaus, Ainur Rofiq Sofa, Muhammad Ichsan (Author)
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