Blended learning is one of the leading trends in education. Blended learning combines computer-assisted learning with traditional classroom learning. The literature shows that the blended learning often helps the students to achieve better learning outcome. However, a majority of the existing learning platforms do not focus on the problems of weak…

Differences in contextual norms between the U.S. military and institutions of higher education mean that student veterans may experience difficulty integrating into the wider campus community, leading to educational inequity. However, this situation may be mitigated by the presence of a strong student veteran peer community. Previous studies of…

"Sensor-free" detectors of student affect that use only student activity data and no physical or physiological sensors are cost-effective and have potential to be applied at large scale in real classrooms. These detectors are trained using student affect labels collected from human observers as they observe students learn within…

After analyzing and reflecting upon the errors students made when facing English writing activities, it was proposed to implement problematizing tutoring sessions as a strategy to assist them in overcoming their hurdles when writing. The participants of the study were 37 third-semester Law students from Universidad Santo Tomás…

A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…

While a growing body of research shows the prevalence of private tutoring in India, the ways in which these informal educational setups gain social legitimacy remains largely unclear. To redress this gap in the scholarship, this article investigates institutional and affective tutoring practices, in relation to formal schooling. It draws on the…

How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…

Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students' intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students'…

Second language acquisition (SLA) is complex and multidimensional. Using the framework of the unified competition model (UCM), the current study explores how robust learning and testing of Chinese Pinyin are fostered by optimal integration of different kinds of feedback in an intelligent computer-assisted language learning (CALL) environment…

Cignition delivers virtual tutoring in math and ELA, led by experienced educators. Their approach focuses on data-informed instruction and collaborative learning that encourages student-to-student interaction to build students' conceptual understanding. After a 2020 efficacy study of its 1:1 math tutoring offering, Cignition developed a group…

The aim of this report is threefold. Its first section provides an overall sketch of the situation across Europe and the underlying mechanisms for the differences in European countries. The second section focuses on the heterogeneities within each country. It examines the disparities among students in order to understand which of those correlate…

Despite substantial cross-national interest in remedial programming as a way to support low-achieving students, evidence of its effectiveness is rare, particularly in low-income and/or crisis-affected contexts. In this article, we present experimental evidence of the impact of a remedial tutoring program on academic outcomes from a two-level…

Despite widespread enthusiasm for remedial education programming with refugee populations, there is little rigorous evidence on how to design and implement such programs. We employ a cluster-randomized design of non-equivalent treatment groups to test the impact of access to two types of program enhancement: longer program duration and the…

The U.S. Army is interested in extending the application of intelligent tutoring systems (ITS) beyond cognitive problem spaces and into psychomotor skill domains. In this paper, we present a methodology and validation procedure for creating expert model representations in the domain of rifle marksmanship. GIFT (Generalized Intelligent Framework…

Based on the sharable content object concept of advanced distributed learning, an ontology-based intelligent content object (ICO) that can automatically reason and be reused is proposed. Then, by extending the advanced distributed learning or sharable content object reference model (SCORM) specification, an interoperable model for the ICO is…