The purpose of this qualitative study was to learn how digital-native college students perceive of cheating and plagiarism. Today's students grew up with high-speed internet, smartphones, and instant access to information. Their learning environment was greatly altered during the COVID-19 pandemic, shifting many from in-person to online learning.…

Whether machine learning algorithms effectively predict college students' course outcomes using learning management system data is unknown. Identifying students who will have a poor outcome can help institutions plan future budgets and allocate resources to create interventions for underachieving students. Therefore, knowing the effectiveness of…

Three studies in this dissertation examined a topic centered around delayed flight progress in aviation pilot training. Study one explored the impact of nonconcurrent flight laboratory training on the academic outcomes of collegiate aviation students, while studies two and three explored virtual reality and artificial intelligence as potential…

ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…

Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…

Identifying preferred stimuli is an initial step in many evidence-based educational programs for young children. Preference assessments, such as the Multiple Stimulus Without Replacement (MSWO), provide an empirically validated way of identifying and ranking these stimuli. Traditional methods of training professionals to implement MSWO often…

Academic choice and exploration are essential aspects of undergraduate education in the United States, allowing students to select courses with minimal restrictions. However, students often face challenges in navigating the complex academic landscape, hindered by limited information, insufficient guidance, and an overwhelming number of choices.…

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…

This research study employed quantitative and qualitative designs to explore the impact of immersive technology on the Computational Thinking (CT) capabilities of students enrolled in an engineering program at a Historically Black College or University (HBCU). The quantitative study in this research employs a survey design approach to explore the…

The purpose of this study was to explore faculty members' lived experiences with student resistance in a gateway STEM classroom. A comparative investigation was done of the case study population to evaluate differences in experiences in active learning classes that use LAs (LAF) and classes that use more passive methods without LAs (NLA). The…

The integration of behavioral sensing and Artificial Intelligence (AI) has increasingly proven invaluable across various domains, offering profound insights into human behavior, enhancing mental health monitoring, and optimizing workplace productivity. This thesis presents five pivotal studies that employ smartphone, wearable, and laptop-based…

In this dissertation, the author presents two projects regarding teaching strategies that apply to an intelligent tutoring system (ITS). The author applied multiple-solution teaching methods to the ITSs. The first project is an ITS that aims to help college students learn how to use Computer-Aided-Design (CAD) software, FreeCAD ITS. The second…