The three research papers completed and compiled to make up this dissertation explore the relationship between social presence and social construction of knowledge in asynchronous online discussion forums in higher education courses in the instructional technology field. Paper 1 is a literature review of the interaction analysis model (IAM)…

Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of training data, (2) in the…

Though efforts have been made for centuries, how concepts are represented in the brain is still elusive. The embodiment view claims that the sensory, motor and other brain areas through which people acquire concept information during life experiences represent this information during concept retrieval. Some compelling neurobiological evidence…

The purpose of this quantitative correlational study was to determine if and to what extent an ELL student's SBELP-RC could predict his or her ACPELA-RC, ACPELA-WP, and ACP-A1. Study participants were ELL students in Grades 9 to 12, attending a Northern Virginia high school. A further purpose of this study was to investigate if and to what extent…

Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…

Virtual reality, as an excellent supportive instructional technology, has gained increasing attention from educators and professionals, where desktop-based virtual reality (DVR) is broadly adopted due to its affordability and accessibility. However, when evaluating students' learning experiences such as flow experiences in DVR environments, most…

Background: International literature has underlined the complex interplay between genetic and environmental variables in shaping children's emotional-behavioral functioning. Objective: This study aimed to explore the dynamic relationship between children's Dopamine Transporter (DAT1) genotype and methylation, and maternal and paternal affective…

Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…

To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…

Background: Aphasia therapy is an effective approach to improve language function in chronic aphasia. However, it remains unclear what prognostic factors facilitate therapy response at the individual level. Here, we utilized data from the POLAR (Predicting Outcomes of Language Rehabilitation in Aphasia) trial to (a) determine therapy-induced…

We studied ALEKS PPL placement scores, SAT scores, and entry-course grades for a population of 1659 students who placed into College Algebra or below over a span of 5 years. In addition to representing an understudied range of placement level, the study was conducted at an HBCU with majority Black/African American students, a demographic that is…

This qualitative biographical case study presents the case of 79-year-old Mrs. Blade and her attitude toward education and ICT (information and communication technology) use. A biographical-narrative interview with additional PCI questions was conducted. Material was analyzed using the approach of 'reconstruction of narrative identity'. The case…

Purpose: This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a…

The 2019 coronavirus disease pandemic and distrust for popular media have highlighted the need for effective methods of direct communication of biomedical science to the public. It is presently unclear how well nonexperts can learn from primary scientific sources and what factors predict such learning in the general public. The present study…

Purpose: Using data from 1,868 children from the US, Australia, and Sweden who took a 10-word spelling test in kindergarten and a standardized spelling test in Grades 1, 2, and (except for the Australian children) Grade 4, we examined two questions. First, does the quality of a child's errors on the kindergarten test help predict later spelling…