This study explored the effectiveness of an adaptive web-based learning tutorial designed to teach three modules of a college level introductory statistics course. Specifically, the impact of the tutorial on student knowledge, motivation, and study time was examined. One hundred thirty four college students were randomly assigned to study from…

Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user's model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones…

Some elementary students may exhibit challenging externalizing or internalizing behaviors in addition to difficulty with mathematics. In this study, we explored the behavioral patterns of 441 third-grade students with and without mathematics difficulty (MD). Compared with students without MD, students with MD demonstrated higher rates of…

Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…

The efficiency of educational institutions is critical in the justification of resource allocation and use. However, some developing countries like Kenya face efficiency challenges regarding resource utilisation and the flow of students through the school system at various levels of education and programs. Past research in Kenya has focused more…

Greer and Mark's (2016) paper suggested and reviewed different methods for evaluating the effectiveness of intelligent tutoring systems such as Propensity score matching. The current study aimed at assessing the effectiveness of automated personalized feedback intervention implemented via the Student Advice Recommender Agent (SARA) in a first-year…

Effective student support is key in stemming the dropout in distance education. This article reports on the student support provision in a hybrid teacher education programme. Altogether 160 participants were purposively selected; 126 completed a survey, 33 (30 students and 3 administrative staff) took part in six focus group discussions; and one…

Private tutoring is one of the unintended outcomes of high-stakes testing and has become a widespread global phenomenon. It is called shadow education because it mimics the mainstream curriculum. From the critical perspective, this study investigated the role of private tutoring in a context of high-stakes testing through Interpretative…

As more educators integrate their curricula with online learning, it is easier to crowdsource content from them. Crowdsourced tutoring has been proven to reliably increase students' next problem correctness. In this work, we confirmed the findings of a previous study in this area, with stronger confidence margins than previously, and revealed that…

The Baltimore City Public School System (City Schools) faces a major challenge as more students begin to return to school buildings following the COVID-19 closures. Although City Schools invested in high-quality remote teaching and learning systems, many students have been unable to take full advantage due to lack of technology and challenging…

Some elementary students may exhibit challenging externalizing or internalizing behaviors in addition to difficulty with mathematics. In this study, we explored the behavioral patterns of 441 3rd-grade students with and without mathematics difficulty (MD). Compared to students without MD, students with MD demonstrated higher rates of externalizing…

Like many other service organizations, drop-in peer tutoring centers often struggle to determine the required number of qualified tutors necessary to meet learner expectations. Service work is largely a response to probabilistic calls for staff action and therefore difficult to forecast with precision. Moreover, forecasting models under long…

"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. Each student's knowledge is modeled by estimating the performance of the student on the learning activities. It is an important research area for providing a personalized learning platform to…

Misconceptions have been an important area of study in STEM education towards improving our understanding of learners' construction of knowledge. The advent of largescale tutoring systems has given rise to an abundance of data in the form of learner question-answer logs in which signatures of misconceptions can be mined. In this work, we explore…