Konstantinos Dimopoulos
Papers
1
Total Citations
2
H-Index
1
About
Konstantinos Dimopoulos is a computer science educator and researcher whose work centers on the integration of artificial intelligence, agents, and robotics into higher education curricula. His most-cited paper, "Teaching, Learning and Assessment of Agents and Robotics in a Computer Science Curriculum" (2017), with 2 citations, provides a foundational framework for designing pedagogical approaches that bridge theoretical AI concepts with practical, hands-on robotics experiences. Dimopoulos’s major contribution lies in his systematic exploration of how agent-based systems and robotics can be effectively taught and assessed, addressing the critical gap between abstract computational theories and tangible student learning outcomes. His work emphasizes active learning strategies, project-based assessments, and the development of transferable skills in autonomous systems. While his citation count is modest, Dimopoulos’s research is notable for its direct impact on curriculum development, offering educators a replicable model for embedding complex AI topics into computer science programs. His achievements include advancing the discourse on educational robotics and agent-oriented learning, making him a valuable voice for instructors seeking to prepare students for careers in intelligent systems and automation.
Research Focus
Key Achievements
Top Papers
- 1