Papers
4
Total Citations
150
H-Index
3
About
Dr. Husni Mubarok is a pioneering researcher at the intersection of educational technology, artificial intelligence, and language learning. His work primarily focuses on leveraging AI and learning analytics to transform English as a Foreign Language (EFL) education and early childhood computational thinking. Dr. Mubarok’s most impactful contribution is his 2021 study on the "Mind Map-Guided AI Chatbot Approach in an EFL Flipped Speaking Classroom," which has garnered 125 citations. This work addresses a critical challenge in EFL education—the lack of immersive practice environments—by integrating AI chatbots with mind-mapping strategies to enhance speaking skills in flipped classrooms. He has also advanced the field of early childhood education by exploring how AI-based robots, guided by the ICAP (Interactive, Constructive, Active, Passive) model, can promote computational thinking in blended learning contexts. Beyond language and education, Dr. Mubarok’s research extends to agricultural technology, where he has developed cost-effective navigation systems using Canny-edge detection and Hough transforms. His systematic review of technology-enhanced strategies in speech-language pathology further underscores his commitment to inclusive, tech-driven learning solutions. With a growing citation record and a diverse portfolio, Dr. Mubarok is shaping the future of AI-integrated pedagogy.
Research Focus
Key Achievements
Top Papers
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