The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…

This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…

In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…

For nearly half a century now, Garner interference has been serving as the gold standard measure of dimensional interaction and selective attention. But the mechanisms that generate Garner interference are still not well understood. The current study proposes a novel theory that ascribes the interference (and dimensional interaction in general) to…

For 25 years, the National Science Foundation's Alliances for Graduate Education and the Professoriate (AGEP) program has been supporting efforts to broaden participation and meaningfully diversify the Science, Technology, Engineering, and Mathematics (STEM) postdoctoral and faculty ranks. To examine the structures and strategies carried out by…

Researchers have long documented a persistent Black-White gap in wealth. These studies, however, often treat race as a discrete category, eluding its socially constructed nature. As a result, these studies assume that the "effect of race" is consistent across all individuals racialized as Black. Studies that make this assumption…

This study highlights the importance of incorporating modern mass spectrometry techniques into undergraduate education. By focusing on the structure-characterizing capability of MS, students are able to gain hands-on experience with cutting-edge techniques and better understand how MS can be used to solve real-world problems. The three-step lipid…

The use of smartphones has become a primary need in supporting human daily activities. With the presence of a smartphone, various activities can be carried out only through an application. One application that is currently popular with Indonesians is an investment application with products such as stocks, mutual funds, and crypto. The presence of…

This study describes a typology of the teaching styles of practicing teachers. Teaching style refers to a teacher's distinct qualities that are persistent from situation to situation regardless of the content. The Teaching Style Assessment Scale, which measures teaching style, was completed by 1,261 nursing faculty in Japan. Prior cluster analysis…

This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…

This article examines multilingual language use in two groups of children, one group at a state school, and one at a private IB school. The IB school has earlier been assumed to reflect an 'elite' multilingualism. Three research questions are posed: to what extent is the children's language use multilingual, what are their typological profiles,…

This paper analyzes the impact of college athletic reclassification for educational institutions in the United States. Most of America's colleges and universities offer athletic opportunities for their students under NCAA governance. The level of competition and associated resource requirements range from relatively low (Division 3) to high…

Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…

This study examines the relationship between sustainability performance and knowledge, as well as between innovation transfer and co-production. It moves away from evaluating processes to exploring impact by investigating how explicit and tacit knowledge archetypes are associated with sustainability performance in the agri-food sector. Applying…

This dissertation aims to analyze the Western Armenian (WA) verbal morphology from a diachronic perspective and perform an internal reconstruction to trace the modern Western dialects back to Classical Armenian (CA) or an older, unattested variant of Armenian. The dissertation's methodology (Chapter 1) is based on comparative dialectology (Chapter…