Shampa Chakraverty

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About

Shampa Chakraverty is a leading researcher in computer science education and software engineering, with a particular focus on innovative pedagogical techniques for teaching programming. Her most-cited work, the 2020 review "Tools and Techniques for Teaching Computer Programming" (91 citations), systematically surveys instructional methods across engineering curricula, demonstrating that visual programming and game-based learning significantly enhance student engagement and comprehension. This seminal paper has become a foundational reference for educators seeking evidence-based approaches to programming instruction. Beyond this, Chakraverty has contributed to the development of intelligent tutoring systems and adaptive learning environments, exploring how artificial intelligence can personalize the educational experience. Her research bridges the gap between theoretical computer science and practical pedagogy, offering actionable insights for instructors worldwide. With a career marked by interdisciplinary collaboration, she has also published on software testing and requirement engineering, further cementing her reputation as a versatile scholar. Chakraverty’s work continues to shape how programming is taught, making complex concepts accessible to diverse learners and influencing curriculum design across institutions.