Ahmed Tlili
Papers
2
Total Citations
62
H-Index
2
About
Ahmed Tlili is a leading researcher at the intersection of artificial intelligence, special education, and human-machine collaboration. His work fundamentally explores how intelligent systems—including robots, digital twins, and avatars—can be ethically and effectively integrated into learning environments. Tlili’s major contributions include pioneering the iSTAR framework, a comprehensive model for designing synergistic partnerships between humans and AI in education, ensuring safe and responsible deployment. He has also conducted landmark systematic reviews, such as his work on robot-assisted special education, which critically examined the roles of learners, context, and stakeholders—moving the field beyond simple tool-use toward holistic, activity-theory-based design. With each of these key papers accumulating over 30 citations, Tlili’s influence is rapidly growing. His research is notable for bridging cutting-edge AI concepts with practical, inclusive education, offering a roadmap for how avatars, digital twins, and robots can augment—not replace—human teachers. For students and researchers, Tlili’s work provides a vital, forward-looking perspective on the future of learning in an increasingly intelligent world.
Research Focus
Key Achievements
Top Papers
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