Critical Review of Computational Thinking in Islamic Studies

Abstract

Computational Thinking (CT) is transforming problem-solving methodologies across disciplines, including Islamic Studies. This critical review examines CT's applications in Quranic textual analysis, Hadith verification, and Islamic jurisprudence, while addressing significant epistemological and ethical challenges. While Computational Thinking (CT) enhances research efficiency through natural language processing (NLP) and data-driven approaches, its implementation risks algorithmic reductionism and loss of interpretive depth in sacred texts. Key challenges include Arabic-language processing limitations, resistance from traditional scholarship, and the need for AI ethics grounded in Islamic principles. The study proposes a balanced integration framework emphasizing: (1) interdisciplinary collaboration between computer scientists and Islamic scholars, (2) development of culturally sensitive computational tools, and (3) curriculum reforms to bridge traditional and digital methodologies. We conclude that Computational Thinking (CT) should serve as a complementary tool rather than a replacement for classical Islamic scholarship, preserving the field's hermeneutic richness while embracing technological advancement.