Marco Temperini
Papers
1
Total Citations
15
H-Index
1
About
Marco Temperini is a leading researcher in technology-enhanced learning, with a focus on adaptive systems and remote laboratories. His work bridges artificial intelligence and education, particularly through the development of personalized e-learning environments. His most cited paper, "Adaptive access to robotic learning experiences in a remote laboratory setting" (2017, 15 citations), introduces the Mindlab2 architecture—a web-based adaptive system enabling hands-on robotics and automation experiments via the internet. This contribution allows learners to solve problems remotely, making complex engineering education more accessible and tailored to individual needs. Temperini’s research has significantly advanced adaptive educational systems, integrating intelligent tutoring with real-world laboratory experiences. His work is foundational for researchers exploring personalized learning pathways and remote experimentation, with ongoing influence in the fields of computer-supported collaborative learning and intelligent tutoring systems.
Research Focus
Key Achievements
Top Papers
- 1