Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…

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…

This paper describes the MAIS and presents the BASIC programming code for the heuristic employed in this expert tutor management system, which is based on the findings of investigations of the direct connections among such learning environment factors as individual differences, cognitive learning theory, instructional technology, subject matter…

The research project "Feedback Processes in Computer Managed Spelling Instruction" is aimed at developing and testing an instructional software program for teaching the orthography of Dutch verbs. The main focus of this paper is on how to design an optimal educational environment. The design of the man-computer interaction is highlighted…