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About

Felipe I. Anfurrutia is an educational technology researcher whose work centers on improving the teaching and learning of introductory programming, a domain widely recognized as one of the most challenging areas in computing education. His research explores innovative pedagogical strategies, particularly the integration of educational robots and visual programming environments into beginner programming courses, with the aim of reducing cognitive barriers and making abstract concepts more tangible for novice learners. Anfurrutia's most-cited work, "Incorporating Educational Robots and Visual Programming Environments in Introductory Programming Courses" (2016, 5 citations), presents multiple classroom experiences grounded in structured pedagogical frameworks, demonstrating practical pathways for engaging students who might otherwise struggle with traditional instructional methods. Building on these foundations, his 2017 Spanish-language publication extended these insights, capturing lessons learned across iterative implementations. By 2018, his research evolved to address formative feedback, proposing enriched learning processes that provide students with timely, actionable guidance throughout their programming education journey. Though his citation counts remain modest, Anfurrutia's contributions reflect a consistent and thoughtful commitment to evidence-based educational innovation. His work is particularly valuable for educators seeking research-informed approaches to one of computing education's most persistent challenges.