This study examined the heterogeneity in temporal shifts of unrealistic optimism (UO) by analyzing students' grade expectation throughout a semester. UO was defined as the gap between students' estimated and current course grades, with a larger gap indicating higher UO. Final course grades were viewed as the outcome of UO. A total of 206…

In the current educational landscape, where large amounts of data are being produced by institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a crucial role in extracting knowledge from this data to help academic policymakers make decisions. EDM has a primary focus on predicting students' academic performance.…

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…

We analyze admissions and transcript records for students at multiple Ivy-Plus colleges to study the relationship between standardized (SAT/ACT) test scores, high school GPA, and first-year college grades. Standardized test scores predict academic outcomes with a normalized slope four times greater than that from high school GPA, all conditional…

This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…

Although evidence exists that online education can result in comparable outcomes to the equivalent face-to-face (F2F) version of a course, there is still a dearth of literature. The objective of this pilot was to investigate differences in academic performance between students participating in the F2F versus online versions of Nutrition 10, an…

The aim of this paper is to examine the relationship between the time that higher education students spend playing video games during exam periods and their average grades in one Eastern European country. Moreover, the authors wanted to explore the differences among students with regard to their age, gender, year of study, and employment status in…

The rationale for the use of comparative judgement (CJ) to help set grade boundaries is to provide a way of using expert judgement to identify and uphold certain minimum standards of performance rather than relying purely on statistical approaches such as comparable outcomes. This article summarises the results of recent trials of using CJ for…

Purpose: Education can be classified into formal and informal sectors--the first category as a regular schooling system and the latter category as private tutoring. After completing secondary education, students in many countries receive education from private tutoring to get admission into the university. This study examines the effect of private…

To determine the effect of distributed practice (spacing out of study over time) and retrieval practice (recalling information from memory) on academic grades in health professions education and to summarise a range of interventional variables that may affect study outcomes. A systematic search of seven databases in November 2022 which were…

Guided notes in the form of teacher-prepared materials that guide students through the lesson with cues and space have been recommended as a possible aid to support student learning. The present study investigated the results of guided notes on the students' learning achievement, the quality of the students' notes, and the students' perceptions of…

In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…

Massive Open Online Courses (MOOCs) have become hugely popular recently. MOOCs can offer high-quality education for anyone interested and equalize the whole education field. Still, there are different methodologies for running MOOCs. Coming up with the most suitable methodology benefits both students and teachers. In this study, we have limited…

Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…

Computer architecture is considered one of the dry and hard-to-learn courses for students in the computer science discipline. Therefore, educational institutions experiment with different pedagogical approaches to enhance students' performance and interest in courses. This study introduces a Simplified Approach to Teach a Processor (SAtTaP), a…