Shahliza Abd Halim

Papers

Total Citations

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About

Shahliza Abd Halim is a researcher at the forefront of integrating computational thinking (CT) with educational technology and advancing software engineering through systematic reuse. Her work primarily spans two key areas: adaptive learning frameworks for CT education and software product line (SPL) engineering. Her most cited paper, "Adaptive learning framework for learning computational thinking using educational robotics" (2024, 6 citations), introduces a novel approach that combines educational robotics with adaptive learning strategies to cultivate CT skills—a critical competency for modern technological citizens. This framework addresses a global educational need by providing a structured method for delivering CT through hands-on, interactive robotics. Additionally, her earlier work, "Multi attribute architecture design decision for core asset derivation" (2015, 3 citations), contributes to SPL by proposing a decision-making model for deriving core assets, enhancing software reuse efficiency. This research supports the development of scalable, maintainable software systems by enabling systematic variability management. Halim’s contributions are notable for bridging theoretical frameworks with practical educational and engineering applications, making her work valuable for educators, software engineers, and researchers seeking to foster computational literacy and improve software development practices.