The COVID-19 epidemic had caused one of the most significant disruptions to the global education system. Many educational institutions faced sudden pressure to switch from face-to-face to online delivery of courses. The conventional classes are no longer the primary means of delivery; instead, online education and resources have become the…

Adaptive collaborative learning support (ACLS) involves collaborative learning environments that adapt their characteristics, and sometimes provide intelligent hints and feedback, to improve individual students' collaborative interactions. ACLS often involves a system that can automatically assess student dialogue, model effective and…

This article proposes a computer-based approach to effectively enhance second language learners' willingness to communicate in the target language. To do so, we implemented a conversational agent embedding a dialogue management model based on two conversational strategies (i.e., communication strategies and affective backchannels), serving as…

There is an increasing interest in the ways pedagogical agents can provide cognitive, emotional, and metacognitive support to students. Moreover, several research studies have proposed various approaches for cultivating students' reflective learning. A variety of research has also been conducted into interrelations between metacognition and…

This research involved the design of a task-based dialogue system and evaluation of its learning effectiveness. Dialogue training still heavily depends on human communication with instant feedback or correction. However, it is not possible to provide a personal tutor for every English learner. With the rapid development of information technology,…

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…