This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…

Over the last couple of decades, there have been a large variety of approaches towards modeling student knowledge within intelligent tutoring systems. With the booming development of deep learning and large-scale artificial neural networks, there have been empirical successes in a number of machine learning and data mining applications, including…

Teaching college faculty the principles and applications of computers for computer-based instruction (CBI) in workshops or classrooms is discussed, along with implications of establishing an ongoing program based on sequential levels of knowledge acquisition. Five hierarchical categories for the acquisition of knowledge, based on a model by Hubert…