Utilizing learning styles for interactive tutorials

Developing successful Web-based learning environments has shown to be a challenging and difficult endeavour that requires knowledge from multiple domains like pedagogy, psychology, knowledge engineering, software engineering, and Web technologies. Their lack of individual preferred ways of instruction is a challenge we address in this paper. We introduce a Web-based learning environment that teaches concepts from artificial intelligence to college students. This environment is intended to be used as a complementary tool for the standard lectures. By adapting the instruction and learning material to the individual student's learning style the tutorial gives the student a personal learning experience and it was our expectation that the tutorial would increase the user's knowledge and interest about the topic. Results and feedback were gathered from the students.