Mohammad Faisal

Papers

Total Citations

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About

Mohammad Faisal is a researcher whose work has centered on the intersection of artificial intelligence and educational technology, with a particular focus on music pedagogy and multi-criteria decision-making. His most-cited paper, "An evaluation of AI-based college music teaching using AHP and MOORA," published in 2023, has garnered 9 citations, reflecting an early interest in applying analytical hierarchy processes and multi-objective optimization to assess AI-driven teaching methods. This work aimed to provide a structured framework for evaluating the effectiveness of AI tools in music education, a niche but growing field. However, it is important to note that this paper has been retracted, which may affect its long-term scholarly impact. Despite this, Faisal’s research contributes to the broader discourse on integrating AI into curriculum design and assessment. His work highlights the potential of computational methods to enhance creative disciplines, though the retraction underscores the importance of rigorous validation in academic publishing. For students and researchers exploring AI in education, Faisal’s study offers a case study in both the promise and pitfalls of interdisciplinary research.