In 2022, generative artificial intelligence (GenAI) chatbots like ChatGPT were released to the public and were rapidly embraced by many. Educational stakeholders are divided about whether to incorporate or ban chatbot usage in classrooms. Student engagement, a meta construct comprised of behavioral, cognitive, affective, and social components, is…

The advancements in generative AI technologies have provided various opportunities to enhance human resource development (HRD) activities. Scholars have discussed the benefits of using AI chatbots, a popular AI application, in training activities. Yet, the current literature still lacks a comprehensive understanding of how AI chatbots can be used…

With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…

This dissertation consists of two separate studies exploring current and emerging technologies for education. The current technology is presented in the first study as an open educational resource (OER) for language learning. This study explored the affordances of OERs for language by comparing a traditional textbook and an OER web-book in terms…

Since the release of advanced Large Language Models (LLMs) like ChatGPT in the winter of 2022, educators have been challenged to integrate AI in educational contexts without adequate preparation. This multimethod study aims to provide valuable insights into how students and teachers can make effective, responsible use of AI tools for writing.…

The problem addressed in this study is that the potential roles of an artificial intelligence-enhanced chatbot using big data in e-learning in higher education were not widely documented in the research community. The purpose of this qualitative case study was to explore the potential roles of an artificial intelligence-enhanced chatbot using big…

Hundreds of thousands of K-12 children in the United States are enrolled in online K-12 virtual schools that consistently report poor academic outcomes. There is a need to assess how well instructors in a synchronous online environment present new material to learners in a way that best aligns with how the brain manages and integrates new…

Because parental engagement has been shown to have a positive relationship with K-12 student academic achievement, the problem for this study was that though information and communication technology applications (ICT apps) are available to engage parents with teachers and schools, it was unclear whether parents are aware of and use them. The…

Adaptive collaborative learning support (ACLS) aims to facilitate collaborative activities by providing intelligent feedback and support based on students' collaboration. Existing ACLS systems have been applied in various collaborative environments, ranging from co-located collaboration in the classroom to online learning environments. While these…

The Hispanic student population is growing at a fast pace in the United States. This population is more likely to be first-generation students than their peers and thus, require additional support. Advances in technology make it possible to leverage artificial intelligence and machine learning to support students at scale presenting an opportunity…

Cybercriminals are increasingly using Internet-based text messaging applications to exploit their victims. Incidents of deceptive cybercrime in text-based communication are increasing and include fraud, scams, as well as favorable and unfavorable fake reviews. In this work, we use a text-based deception detection approach to train models for…

With increasing demand of mobile devices and cloud computing, it becomes increasingly important to develop efficient mobile application and its secured backend, such as web applications and virtualization environment. This dissertation reports a systematic study of mobile application development and the security issues of its related backend. …

The purpose of this quasi-experimental static-group comparison study was to test the theory of transactional distance that relates the inclusion of synchronous class sessions into an online introductory computer course to students' levels of satisfaction and academic achievement at a post-secondary technical college. This study specifically looked…

With the ability of modern system developers to develop intelligent programs that allows machines to learn, modify and evolve themselves, current trends of reactionary methods to detect and eradicate malicious software code from infected machines is proving to be too costly. Addressing malicious software after an attack is the current methodology…