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Steven R. Mason – ProQuest LLC, 2024
Artificial intelligence (AI) has become more prevalent in education in recent years. Specifically, the perception of generative AI chatbots that generate essays based on the input of student prompts has invoked mixed reviews among educators. The negative learning implications of generative AI chatbots include plagiarism, academic dishonesty, and…
Descriptors: Artificial Intelligence, Computer Software, Secondary School Teachers, Teacher Attitudes
Mazumder, Sahisnu – ProQuest LLC, 2021
Dialogue systems, commonly called as Chatbots, have gained escalating popularity in recent times due to their wide-spread applications in carrying out chit-chat conversations with users and accomplishing tasks as personal assistants. These systems are typically trained from manually-labeled data and/or written with handcrafted rules and often, use…
Descriptors: Computer Mediated Communication, Computer Software, Dialogs (Language), Information Seeking
Jain, Rishee K. – ProQuest LLC, 2013
The built environment accounts for a substantial portion of energy consumption in the United States and in many parts of the world. Due to concerns over rising energy costs and climate change, researchers and practitioners have started exploring the area of eco-informatics to link information from the human, natural and built environments.…
Descriptors: Energy Conservation, Social Networks, Feedback (Response), Energy
Baker, Gloria Waters – ProQuest LLC, 2012
Background: Wound care is an essential competency which nursing students are expected to acquire. To foster students' competency, nurse educators use high fidelity simulation to expose nursing students to various wound characteristics. Problem: Little is known about how nursing students react to simulated wound characteristics. Malodor is a…
Descriptors: Nursing Students, Nursing Education, Injuries, Medical Services
Moffitt, Kevin Christopher – ProQuest LLC, 2011
The three objectives of this dissertation were to develop a question type model for predicting linguistic features of responses to interview questions, create a tool for linguistic analysis of documents, and use lexical bundle analysis to identify linguistic differences between fraudulent and non-fraudulent financial reports. First, The Moffitt…
Descriptors: Cues, Verbs, Natural Language Processing, Discriminant Analysis