Fernando A. Mikic-Fonte
Papers
3
Total Citations
54
H-Index
3
About
Fernando A. Mikic-Fonte is a leading researcher in the field of intelligent tutoring systems, with a particular focus on conversational agents and chatterbots for education. His work centers on leveraging AIML (Artificial Intelligence Markup Language) to create interactive, dialogue-based tutors that can simulate natural language conversations with students. Mikic-Fonte’s major contributions include the development of TQ-Bot, an AIML-based tutor and evaluator bot that provides personalized instruction and assessment, as detailed in his most-cited paper (32 citations). Earlier, he introduced T-Bot and Q-Bot, a pair of bots designed for tutoring and evaluation, which have collectively garnered significant attention (18 citations). His research also explores innovative methods to enhance chatterbot knowledge through the use of tags, as seen in his 2012 paper (4 citations). By integrating conversational AI with pedagogical goals, Mikic-Fonte has advanced the accessibility and effectiveness of automated tutoring systems. His work is particularly notable for its practical application of ALICE-based technologies, making personalized learning more scalable and engaging for students worldwide.
Research Focus
Key Achievements
Top Papers
- 1TQ-Bot: An AIML-based Tutor and Evaluator Bot32 citations · 2020
- 2
- 3USING TAGS IN AN AIML-BASED CHATTERBOT TO IMPROVE ITS KNOWLEDGE4 citations · 2012