Private tuition or shadow education is a self-contained activity. It is a system that exists parallel to the national education system. The scale of private tuition has witnessed a worldwide skyrocketing increase. The present research sheds light on the determinants that lead to the demand/ supply of private tuition. It examines the issue from the…

This study investigated how an embedded peer support model that integrates non-cognitive principles, academic support, and peer mentoring affected students' success in completing gateway first-year courses as well as key measures such as retention at a Hispanic- and Minority-Serving Institution. The results show that the program had a…

Many studies have shown that visual representations can enhance student understanding of STEM concepts. However, prior research suggests that visual representations alone are not necessarily effective across a broad range of students. To address this problem, we created a novel, scaffolded form of diagrammatic self-explanation in which students…

A challenge that community colleges continue to face is how to strengthen the education they provide in ways that lead to increased college completion and equity in student outcomes. Information gleaned from the Center's survey research and student focus groups over nearly two decades has produced the awareness that substantial improvement in…

This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which includes a comprehensive analysis of behavioral and linguistic data and provides data-driven evidence for designing personalized…

Intelligent Tutoring Systems (ITS) have a long history, almost as long as the Structural Learning Theory (initially in Scandura, 1971). Although well-funded for many years, neither ITS nor contemporary successors based on BIG DATA (e.g., Knewton) come close to modeling the processes used by good human tutors. AuthorIT & TutorIT rest on a…

As international student migration and comparative education research have increased worldwide, greater interdependency between national Higher Education (HE) systems has developed with policy and practice frequently being shared internationally. As a key player in the international student market the United States of America is especially…

This paper is a commentary on "Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation", by Cristina Conati and Kurt Vanlehn, published in the "IJAED" in 2000 (Conati and VanLehn 2010). This work was one of the first examples of Intelligent Learning Environments (ILE) that…

Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's request. The Help Tutor was a tutor agent that gave in-context, real-time feedback on students' help-seeking behavior, as they were learning with an ITS.…

This study introduces the Constructed Response Analysis Tool (CRAT), a freely available tool to automatically assess student responses in online tutoring systems. The study tests CRAT on a dataset of chemistry responses collected in the ChemVLab+. The findings indicate that CRAT can differentiate and classify student responses based on semantic…

We have been incrementally adding data-driven methods into the Deep Thought logic tutor for the purpose of creating a fully data-driven intelligent tutoring system. Our previous research has shown that the addition of data-driven hints, worked examples, and problem assignment can improve student performance and retention in the tutor. In this…

Intelligent Tutoring Systems (ITSs) have shown success in the domain of programming, in part by providing customized hints and feedback to students. However, many popular novice programming environments still lack these intelligent features. This is due in part to their use of open-ended programming assignments, which are difficult to support with…

The role of teacher educators as researcher-practitioner is viewed in this narrative reflection from the perspective of the author, the professor of record for a course in which an early field experience tutoring opportunity was embedded. The manuscript reports on the tutoring experiences through the lens of the author with instigations and…

If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…

Researchers have found that summer reading loss contributes to the reading achievement gap between low and high socioeconomic (SES) children. This study aimed to examine the effectiveness of a 3-week summer intervention in addressing this slide for 36 low SES children compared with another 36 children in a matched control group from one New…