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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…
Descriptors: Educational Technology, Technology Uses in Education, Research and Development, Elementary Education
Gomiero, Tiziano; Croce, Luigi; Grossi, Enzo; Luc, De Vreese; Buscema, Massimo; Mantesso, Ulrico; De Bastiani, Elisa – Online Submission, 2011
The aim of this paper is to present a shortened version of the SIS (support intensity scale) obtained by the application of mathematical models and instruments, adopting special algorithms based on the most recent developments in artificial adaptive systems. All the variables of SIS applied to 1,052 subjects with ID (intellectual disabilities)…
Descriptors: Foreign Countries, Mathematical Models, Mental Retardation, Measures (Individuals)
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Graesser, Arthur C.; Jeon, Moongee; Dufty, David – Discourse Processes: A Multidisciplinary Journal, 2008
During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge…
Descriptors: Intelligent Tutoring Systems, Dialogs (Language), Interactive Video, Animation
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Thomas, Pete; Smith, Neil; Waugh, Kevin – Learning, Media and Technology, 2008
To date there has been very little work on the machine understanding of imprecise diagrams, such as diagrams drawn by students in response to assessment questions. Imprecise diagrams exhibit faults such as missing, extraneous and incorrectly formed elements. The semantics of imprecise diagrams are difficult to determine. While there have been…
Descriptors: Feedback (Response), Semantics, Computer Software, Grading
Knobel, Cory Philip – ProQuest LLC, 2010
Living inside built environments--infrastructure--it is easy to take for granted the things that we do not need to engage, but are at work behind the scenes nonetheless. Well-designed systems become invisible, but to engage them, how do we know which perspectives, objects, and relationships are useful? I examine the University of Michigan Digital…
Descriptors: Electronic Libraries, Organizational Change, Library Science, Library Services
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Leung, Chun Ming; Tsang, Eva Y. M.; Lam, S. S.; Pang, Dominic C. W. – EDUCAUSE Quarterly, 2010
Universities are increasingly looking into self-service systems with intelligent digital agents to supplement or replace labor-intensive services, such as academic counseling. The Open University of Hong Kong has developed an intelligent online system that instantly responds to enquiries about career development, learning modes, program/course…
Descriptors: Counseling Services, Learning Modalities, Foreign Countries, Natural Language Processing
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Prakash, Edmond; Brindle, Geoff; Jones, Kevin; Zhou, Suiping; Chaudhari, Narendra S.; Wong, Kok-Wai – Simulation & Gaming, 2009
Games technology has undergone tremendous development. In this article, the authors report the rapid advancement that has been observed in the way games software is being developed, as well as in the development of games content using game engines. One area that has gained special attention is modeling the game environment such as terrain and…
Descriptors: Artificial Intelligence, Games, Video Technology, Technological Advancement
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Grubisic, Ani; Stankov, Slavomir; Rosic, Marko; Zitko, Branko – Computers & Education, 2009
We believe that every effectiveness evaluation should be replicated at least in order to verify the original results and to indicate evaluated e-learning system's advantages or disadvantages. This paper presents the methodology for conducting controlled experiment replication, as well as, results of a controlled experiment and an internal…
Descriptors: Control Groups, Research Design, Computer Assisted Instruction, Artificial Intelligence
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Essa, Alfred; Ayad, Hanan – Research in Learning Technology, 2012
The need to educate a competitive workforce is a global problem. In the US, for example, despite billions of dollars spent to improve the educational system, approximately 35% of students never finish high school. The drop rate among some demographic groups is as high as 50-60%. At the college level in the US only 30% of students graduate from…
Descriptors: Artificial Intelligence, Computer Graphics, Computer Interfaces, Statistical Analysis
Auat Cheein, Fernando A., Ed. – InTech, 2012
This book offers the reader new achievements within the Assistive Technology field made by worldwide experts, covering aspects such as assistive technology focused on teaching and education, mobility, communication and social interactivity, among others. Each chapter included in this book covers one particular aspect of Assistive Technology that…
Descriptors: Foreign Countries, Educational Technology, Assistive Technology, Internet
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Monteserin, Ariel; Schiaffino, Silvia; Amandi, Analia – Computers & Education, 2010
In CSCL systems, students who are solving problems in group have to negotiate with each other by exchanging proposals and arguments in order to resolve the conflicts and generate a shared solution. In this context, argument construction assistance is necessary to facilitate reaching to a consensus. This assistance is usually provided with isolated…
Descriptors: Persuasive Discourse, Problem Solving, Cooperative Learning, Artificial Intelligence
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Zajac, Maria – Campus-Wide Information Systems, 2009
Purpose: The purpose of this paper is to present the results of research aimed at collecting the data necessary for preparing personalised content of e-learning courses. Its aim is to show how the information describing individual learning styles can be linked to the rules of creating tailored online courses. Design/methodology/approach: The paper…
Descriptors: Multiple Intelligences, Online Courses, Electronic Learning, Cognitive Style
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Elayeb, Bilel; Evrard, Fabrice; Zaghdoud, Montaceur; Ahmed, Mohamed Ben – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodology/approach: A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the…
Descriptors: Information Retrieval, Models, College Students, Internet
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Jones, Greg; Warren, Scott – Innovate: Journal of Online Education, 2009
Using video games, virtual simulations, and other digital spaces for learning can be a time-consuming process; aside from technical issues that may absorb class time, students take longer to achieve gains in learning in virtual environments. Greg Jones and Scott Warren describe how intelligent agents, in-game characters that respond to the context…
Descriptors: Video Games, Online Courses, Artificial Intelligence, Virtual Classrooms
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What Works Clearinghouse, 2009
The "Cognitive Tutor[R] Algebra I" curriculum, published by Carnegie Learning, is an approach that combines algebra textbooks with interactive software. The software is developed around an artificial intelligence model that identifies strengths and weaknesses in each individual student's mastery of mathematical concepts. It then…
Descriptors: Textbooks, Academic Achievement, Computer Software, Artificial Intelligence
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