Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…

STyLE-OLM (Dimitrova 2003 "International Journal of Artificial Intelligence in Education," 13, 35-78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can "inspect," "discuss" and "alter" the learner model that has been jointly…

The ideas behind the constraint-based modeling (CBM) approach to the design of intelligent tutoring systems (ITSs) grew out of attempts in the 1980's to clarify how declarative and procedural knowledge interact during skill acquisition. The learning theory that underpins CBM was based on two conceptual innovations. The first innovation was to…

Light and spectroscopy are among the most important and frequently taught topics in introductory college-level general education astronomy courses (hereafter Astro 101). This is due to the fact that the vast majority of observational data studied by astronomers arrives at Earth in the form of light. While there are many processes by which matter…

The efficacy of tutoring as an instructional strategy mainly lies on the moment-by-moment correspondence between the help provided by a tutor and the tutee's learning needs. The model presented in this paper emphasizes the pivotal role of monitoring and regulation, both by the tutor and the tutee, in attaining and maintaining affective and…

AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…

This study investigates how and whether information about students' writing can be recovered from basic behavioral data extracted during their sessions in an intelligent tutoring system for writing. We calculate basic and time-sensitive keystroke indices based on log files of keys pressed during students' writing sessions. A corpus of prompt-based…

In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…

Online planning of good teaching sequences has the potential to provide a truly personalized teaching experience with a huge impact on the motivation and learning of students. In this work we compare two main approaches to achieve such a goal, POMDPs that can find an optimal long-term path, and Multi-armed bandits that optimize policies locally…

We explore the effectiveness of a simple algorithm for adaptively deciding whether to further decompose a step in a line of reasoning during tutorial dialogue. We compare two versions of a tutorial dialogue system, Rimac: one that always decomposes a step to its simplest sub-steps and one that adaptively decides to decompose a step based on a…

Are parental inputs complements or substitutes to education quality? Using variation induced by identification into a gifted and talented (GT) program, I find no aggregate effects on parental behavior as a result of their child's access to a higher quality education. However, there are heterogeneous effects. Non-minority parents decrease…

In this report, we update our ongoing research on five school systems to reveal the academic, social, and political challenges posed by the pandemic and what system leaders and their staff are doing to address student learning loss. The report is part of the American School District Panel, a research partnership between the RAND Corporation and…

This article is intended as a companion document to the more focused report provided by the author at the 2017 American Education Research Association (AERA) Conference as part of the Technology, Instruction, Cognition & Learning Special Interest Group's Symposium on Intelligent Tutoring Systems (ITSs). Both the AERA talk and this article…

In this digital era, a fundamental challenge is to design digital reading materials in such a way that they improve children's reading skills. Since reading books is challenging for many fifth graders--particularly for those genetically susceptible to attention problems--the researchers hypothesized that guidance from a digital Pedagogical Agent…

A growing number of colleges and universities in the United States offer Spanish classes intended to meet specific needs of heritage speakers. In predominantly White institutions, beyond the language focus, these classes can also provide Latino students with a unique place on campus to strengthen their sense of belonging in ways that might not be…