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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
Demetriadis, Stavros; Egerter, Tina; Hanisch, Frank; Fischer, Frank – Computer Science Education, 2011
This study investigates the effectiveness of using peer review in the context of scripted collaboration to foster both domain-specific and domain-general knowledge acquisition in the computer science domain. Using a one-factor design with a script and a control condition, students worked in small groups on a series of computer science problems…
Descriptors: Evidence, Control Groups, Cooperation, Computer Science
Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability
Gunel, Korhan; Asliyan, Rifat – Turkish Online Journal of Educational Technology - TOJET, 2009
The object of this study is to model the level of a question difficulty by a differential equation at a pre-specified domain knowledge, to be used in an educational support system. For this purpose, we have developed an intelligent tutoring system for mathematics education. Intelligent Tutoring Systems are computer systems designed for improvement…
Descriptors: Mathematics Education, Intelligent Tutoring Systems, Knowledge Representation, Artificial Intelligence
Morris, Mitchell J. – ProQuest LLC, 2012
Quickly accessing the contents of a video is challenging for users, particularly for unstructured video, which contains no intentional shot boundaries, no chapters, and no apparent edited format. We approach this problem in the domain of lecture videos though the use of machine learning, to gather semantic information about the videos; and through…
Descriptors: Heuristics, Electronic Learning, Video Technology, Computer Interfaces
Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2021
For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…
Descriptors: Educational Technology, Technology Uses in Education, Computer Mediated Communication, Video Technology
Li, Dingcheng – ProQuest LLC, 2011
Coreference resolution (CR) and entity relation detection (ERD) aim at finding predefined relations between pairs of entities in text. CR focuses on resolving identity relations while ERD focuses on detecting non-identity relations. Both CR and ERD are important as they can potentially improve other natural language processing (NLP) related tasks…
Descriptors: Information Retrieval, Form Classes (Languages), Computation, Natural Language Processing
McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E. – Computers & Education, 2011
Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…
Descriptors: Feedback (Response), Test Items, Intervention, Intelligent Tutoring Systems
Eno, Joshua – ProQuest LLC, 2010
Virtual worlds, which allow users to create and interact with content in a 3D, multi-user environment, growing and becoming more integrated with the traditional flat web. However, little is empirically known about the content users create in virtual world and how it can be indexed and searched effectively. In order to gain a better understanding…
Descriptors: Search Engines, Measures (Individuals), Internet, Artificial Intelligence
Sekar, J. M. Arul; Rajendran, K. K. – Online Submission, 2010
Network technology provides access to various sources of information from across the world. Network technology allows the higher education system to bring the lab to the classroom, rather than making students move to separate classrooms when they need to use computers. It, therefore, saves cost and makes students more productive. Students and…
Descriptors: Computer Networks, Technology Uses in Education, Higher Education, Internet
Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
Baker, Ryan S. J. d.; Corbett, Albert T.; Gowda, Sujith M. – Journal of Educational Psychology, 2013
Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that different pedagogical strategies promote robust learning to different degrees. However, the student…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Genetics, Science Instruction
Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Educational Technology Research and Development, 2013
Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Mediated Communication, Intelligent Tutoring Systems
Biletskiy, Yevgen; Baghi, Hamidreza; Steele, Jarrett; Vovk, Ruslan – Interactive Technology and Smart Education, 2012
Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…
Descriptors: Internet, Search Engines, Online Searching, Electronic Libraries

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