Prediction of student performance in introductory programming courses can assist struggling students and improve their persistence. On the other hand, it is important for the prediction to be transparent for the instructor and students to effectively utilize the results of this prediction. Explainable Machine Learning models can effectively help…

Predicting student performance in an academic institution is important for detecting at-risk students and administering early-intervention strategies. We propose a new grade prediction model that considers three factors: temporal dynamics of prior courses across previous semesters, short-term performance consistency, and relative performance…

The overarching goal of this research is to synthesize previous studies on the relationship between mathematics anxiety in primary school and academic success in mathematics course. The studies that were included in the synthesis were evaluated based on a variety of criteria. As a direct consequence of the searching, a total of 21 studies were…

The COVID-19 pandemic has forced all dentistry faculties to quickly shift to the online supplementation or replacement of traditional modules to pursue education. However, there is limited research evaluating the effectiveness of this education modality on student performance in dental anatomy and manipulation module. Accordingly, it was aimed to…

The purpose of this study was to help undergraduate STEM students at a Hispanic-serving institution make connections between calculus and physics content and their lives using a utility-value intervention. As part of either a Calculus II or a calculus-based Newtonian Physics course, 471 undergraduate students were randomly assigned to either read…

Due to grades as a primary concern in school selection in China, parents tend to choose a better school when their children enter secondary school from primary school resulting in the changing peer group (reference group). According to the Social Comparison Theory, individuals are affected by comparing with the people around them to get their own…

Understanding exam score distributions has implications for item response theory (IRT), grade curving, and downstream modeling tasks such as peer grading. Historically, grades have been assumed to be normally distributed, and to this day the normal is the ubiquitous choice for modeling exam scores. While this is a good assumption for tests…

The paper analyses the grades assigned by the professors of the University of Milan to their students at the end of written exams, comparing what happened in academic year 2018-19 and in academic year 2020-21, i.e., before and during the crisis caused by the COVID-19 pandemic. In March 2020, the lockdown closed the classrooms, stopping…

Massive Open Online Courses (MOOCs) have become more and more popular recently. These courses have attracted a large number of students world-wide. In a popular course, there may be thousands of students. Such a large number of students in one course makes it infeasible for the instructors to grade all the submissions. Peer assessment is thus an…

This paper describes the development and efficacy of an online tool for assessing the numeracy of undergraduate students. The tool was designed to be easy to administer, provide immediate feedback to students on whether they had the required level of numeracy, and to be consistent with other measures of adult numeracy. When used with students…

Studying abroad as part of a degree has become commonplace for many students in European and other developed countries. Universities actively promote opportunities as part of internationalization strategies. Whilst research has looked into the 'abroad' aspect of study abroad, there is less literature on the 'study' aspect, and in particular, the…

The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…

Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…

While many researchers have addressed the topic of academic resilience, studies on the individual protective factors in high-risk middle school students from urban settings are limited. In this qualitative interpretive study, we interviewed and obtained academic records from 20 eligible students in grades 7-8 to delve into the perceptions and…

Underrepresented (UR) students face barriers to help-seeking in traditional classrooms. We predicted these barriers would be ameliorated online. We analyzed online course discussion boards and found UR students asked for help more often than non-UR students and women were more likely than men to ask for help explicitly at least once. Furthermore,…