Strategies for Utilising Artificial Intelligence (AI) to Personalise Islamic Education Materials in Schools

Abstract

Study This aim formulate an adaptive and ethical strategy model utilization intelligence artificial (AI) for personalization Islamic Religious Education (PAI) material in schools . Background urgency arise from ineffectiveness method traditional ( one-size-fits-all ) in reach holistic PAI goals ( cognitive , affective , and psychomotor ), especially in internalization values and practices . Findings main is that AI has the potential transformative for comprehensive diagnosis . The method used is approach qualitative descriptive through Systematic Literature Review ( study library ). Data were collected and analyzed in a way systematic from primary and secondary literature For formulate a strategy model, non- cognitive diagnostic mechanism ( Academic Self-Concept) or ASC ), and the framework Islamic ethics ( Maqāṣid al- Sharī'ah ).  AI findings are very effective in non- cognitive diagnoses , such as detect Academic Self-Concept Islamic Education students through Sentiment Analysis and Natural Language Processing (NLP). The optimal strategy is adoption of the Hybrid Model ( Augmented Pedagogy ), where AI functions as tool efficiency ( personalization and evaluation) automatic ), while the teacher maintains role central as moral authority and guidance emotional . Implementation must bound by a frame Maqāṣid al- Sharī'ah For mitigate risk ethics theological ( erosion authority of scholars) and algorithmic bias . Limitations study This nature conceptual Because use studies library , so that the resulting strategic model need validation empirical more further in the field . Implications practical demand policy strengthening data literacy and infrastructure inclusive for Islamic Education teachers.   Authenticity study This lies in the formulation of a conceptual model that integrates Islamic philosophy ( Maqāṣid al- Sharī'ah ) with Educational Technology strategies , especially in fill in emptiness methodology evaluation in the affective domain PAI .