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Showing all 13 results Save | Export
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Amanda Konet; Ian Thomas; Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Shannon Kugley; Karen Crotty; Meera Viswanathan; Robert Chew – Research Synthesis Methods, 2024
Accurate data extraction is a key component of evidence synthesis and critical to valid results. The advent of publicly available large language models (LLMs) has generated interest in these tools for evidence synthesis and created uncertainty about the choice of LLM. We compare the performance of two widely available LLMs (Claude 2 and GPT-4) for…
Descriptors: Data Collection, Artificial Intelligence, Computer Software, Computer System Design
Steven Ullman – ProQuest LLC, 2024
Modern Information Technology (IT) infrastructure and open-source software (OSS) have revolutionized our ability to access and process data, enabling us to tackle increasingly complex problems and challenges. While these technologies provide substantial benefits, they often expose users to vulnerabilities that can severely damage individuals and…
Descriptors: Artificial Intelligence, Information Technology, Information Systems, Computer Security
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Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
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Tiera Chante Tanksley – English Teaching: Practice and Critique, 2024
Purpose: This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological…
Descriptors: African American Students, Artificial Intelligence, Algorithms, Racism
Jonnalagadda, Siddhartha – ProQuest LLC, 2011
In the current millennium, extensive use of computers and the internet caused an exponential increase in information. Few research areas are as important as information extraction, which primarily involves extracting concepts and the relations between them from free text. Limitations in the size of training data, lack of lexicons and lack of…
Descriptors: Sentences, Semantics, Biomedicine, Information Retrieval
Joyner, Donald Thomas – ProQuest LLC, 2011
The granting of credit is a necessary risk of doing business. If companies only accepted cash, sales would be negatively impacted. In a perfect world, all consumers would pay their bills when they become due. However, the fact is that some consumers do default on debt. Companies are willing to accept default risk because the value of defaults does…
Descriptors: Brain, Computation, Debt (Financial), Comparative Analysis
Alodhaibi, Khalid – ProQuest LLC, 2011
Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…
Descriptors: Information Processing, Decision Support Systems, Decision Making, Preferences
Bitton, Ephrat – ProQuest LLC, 2011
This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…
Descriptors: Safety, Opinions, Hypothesis Testing, Intuition
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Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
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Wegerif, Rupert; McLaren, Bruce M.; Chamrada, Marian; Scheuer, Oliver; Mansour, Nasser; Miksatko, Jan; Williams, Mriga – Computers & Education, 2010
This paper reports on an aspect of the EC funded Argunaut project which researched and developed awareness tools for moderators of online dialogues. In this study we report on an investigation into the nature of creative thinking in online dialogues and whether or not this creative thinking can be coded for and recognized automatically such that…
Descriptors: Creativity, Creative Thinking, International Programs, Coding
Snyder, Robin M. – 1996
Motivated by the brain, neural networks are a right-brained approach to artificial intelligence that is used to recognize patterns based on previous training. In practice, one would not program an expert system to recognize a pattern and one would not train a neural network to make decisions from rules; but one could combine the best features of…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer System Design, Expert Systems
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Chen, Hsinchun; Dhar, Vasant – Information Processing and Management, 1991
Two studies of the cognitive processes involved in online document-based information retrieval were conducted. These studies led to the development of five computational models of online document retrieval which were incorporated into the design of an "intelligent" document-based retrieval system. Both the system and the broader implications of…
Descriptors: Artificial Intelligence, Classification, Cognitive Processes, Computer System Design
Yu, Edmund; Feldman, Susan – Searcher, 1999
Provides an in-depth introduction to the various technologies that are bringing intelligent agents into the forefront of information technology, explaining how such agents work, the standards involved, and how agent-based applications can be developed. (Author/AEF)
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer System Design, Expert Systems