作者: Tiffany Barnes
DOI:
关键词: Open research 、 Q-matrix 、 Data science 、 Scalability 、 Subject (documents) 、 Multimedia 、 Computer science
摘要: Although many talented researchers have created excellent tools for computer-assisted instruction and intelligent tutoring systems, creating high-quality, effective, scalable but individualized learning at a low cost is still an open research challenge. Many create complex models of student behavior that require extensive time on the part subject experts, as well cognitive science researchers, to effective help feedback strategies. In this research, we propose different approach, called q-matrix method, where data from “mined” concept material being taught. These are then used both understand direct paths future students. We describe method present preliminary results imply can effectively predict which concepts need further review.