This study investigates the neurocognitive underpinnings of early language learning in adults and examines the modulating effects of individual differences in prior bilingual experience and cognitive capabilities. This study used a pre/post short-term longitudinal design with a 10-day Dutch language training via Rosetta Stone. Event-Related…

The essence of human intelligence lies in its ability to learn continuously, accumulating past knowledge to aid in future learning and problem-solving endeavors. In contrast, the current machine learning paradigm often operates in isolation, lacking the capacity for continual learning and adaptation. This deficiency becomes apparent in the face of…

Adaptive learning systems aim to emulate how skilled educators provide every student with the best possible learning experience. We investigate how these systems might be enriched by incorporating activities and indicators of social learning, which focus on the influences of learners' social context and interactions. This doctoral research aims to…

The vast amount of data collected during online learning offers opportunities to advance newer interventions that might aid learning. One such intervention has been learning analytics dashboards, visualizations designed to translate learning-related data into usable information. However, many student-facing dashboards compare learners' performance…

This dissertation seeks to understand the ways in which software developers and managers of software developers perceive workplace learning for software developers. Across three studies, researchers investigated: perceptions of software developers about workplace learning for software developers, perceptions of managers of software developers…

The projected number of engineering professionals will increase in the next decade. Implementing instructional technology to support engineering students in creating design solutions to authentic problems may lead to a more significant number of engineering graduates. The problem is knowing the extent to which parametric 3-dimensional…

The purpose of this meta-analysis was to investigate the effectiveness of the use of games as part of mathematics instruction on academic achievement in grades Kindergarten to 12 in the United States. There were 17 studies selected for investigation published from 2010 to 2023 that focused on game-based learning and mathematics. This meta-analysis…

We analyze the thesis that a fully immersive gamified learning platform benefits students, improving their enjoyment, time management, and performance by engaging them with the subject matter. We assert that an immersive experience centered around a true game produces better results than exercises with just a few gamified elements (e.g., points,…

This dissertation examines the interaction patterns that happen in an online learning environment. While many studies look at online learning through the lens of the learner or the learning environment, few studies look at the interaction patterns that happen through the digital traces captured by computational tools. Based on the conceptual…

This dissertation describes a practitioner's design-based development of a prototype chatbot to guide students in learning biological concepts of genetic mutations and protein synthesis. This chatbot's architecture provides learning activities, feedback, and support throughout a series of short, connected lessons. The chatbot is designed to…

This qualitative multiple case study attempts to capture and document the lived experiences of a group of elementary educators surrounding the COVID-19 emergency school closures of the 2019-2020 school year. The purpose of this study is to capture the observations and reactions of teachers after their experience using the Collabrify Roadmaps…

Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…

The purpose of this mixed-method survey-based study addresses the underexplored area of undergraduate student perceptions of artificial intelligences (AI) impact in academia, specifically within the FCSEI in Romania. This research study will provide comprehensive findings on how AI can revolutionize teaching methodologies, learning processes, and…

Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…

In the modern higher educational system, technology permeated almost all the provisions of educational processes and transformed individual learning transactions. Empirical evidence reveals students' skill gaps in the digitized campus and the real-world work environment driven by technology. Technical training is of high value and in high demand…