Master Projects & Major Papers

Permanent URI for this collectionhttps://hdl.handle.net/10155/77

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Browsing Master Projects & Major Papers by Subject "Artificial intelligence"

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    Co-designing instruction in virtual learning environments using AI
    (2023-12-01) Ganesh, Aishwarya; Hunter, William
    The literature was explored to determine how artificial intelligence (AI) systems and algorithms are currently being used in the co-design of learning within virtual learning environments. Through the analysis of literature, the study aims to retrieve multiple methods of AI assistance to ease or uplift the educator’s role in online learning design. The study determined a variety of themes that determine methods of AI use in online instruction, such as prediction, providing feedback, adaptive learning, and providing visualization of student data on learning management systems (LMS). The study also determined the importance of a repository of various student data input in AI algorithms, and the collaboration of educators and experts in the process of using AI systems. The key implications suggest the importance of bridging feedback immediacy and formative approaches to improving student performance in online environments. Furthermore, the study also determines the changing roles of stakeholders in the education process. Finally, it also suggests the potential to create a multifaceted AI system and an effective LMS that supports such features.
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    A systematic review of the literature examining the use and application of robots and artificial intelligence for assisted living for persons living with dementia
    (2021) Konstantinidis, Theodore; Bartfay, Wally J.
    Introduction: This review aims to examine how artificial intelligence (AI) and robotic technologies can enhance quality of life (QOL) outcomes in persons living with dementia (PLD). Methods: A systematic literature search was conducted in Medline via Ovid, ProQuest Nursing and Allied Health, and IEEE Xplore was performed in November 2020. Results: Ten articles were found to be eligible for inclusion. To date, the most well studied application of robots and AI for improvement of QOL outcomes for PLD are robotic pets. Discussion: The use of AI and robots for improving QOL outcomes in PLD offer promise as they are non-invasive, cost-effective, and can be deployed in a variety of clinical and community settings.