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Showing 1 to 15 of 1,482 results
Sundararajan, Louise – Journal of Creative Behavior, 2014
Harold Cohen is a renowned painter who has developed a computer program, AARON, to create art. While AARON has been hailed as one of the most creative AI programs, Cohen consistently rejects the claims of machine creativity. Questioning the possibility for AI to model human creativity, Cohen suggests in so many words that the human mind takes a…
Descriptors: Creativity, Artificial Intelligence, Art Products, Artists
Rogers, Timothy T.; McClelland, James L. – Cognitive Science, 2014
This paper introduces a special issue of "Cognitive Science" initiated on the 25th anniversary of the publication of "Parallel Distributed Processing" (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP…
Descriptors: Artificial Intelligence, Cognitive Processes, Models, Cognitive Science
Seidenberg, Mark S.; Plaut, David C. – Cognitive Science, 2014
Rumelhart and McClelland's chapter about learning the past tense created a degree of controversy extraordinary even in the adversarial culture of modern science. It also stimulated a vast amount of research that advanced the understanding of the past tense, inflectional morphology in English and other languages, the nature of linguistic…
Descriptors: Morphemes, Morphology (Languages), Language Acquisition, Reading
Hinton, Geoffrey – Cognitive Science, 2014
It is possible to learn multiple layers of non-linear features by backpropagating error derivatives through a feedforward neural network. This is a very effective learning procedure when there is a huge amount of labeled training data, but for many learning tasks very few labeled examples are available. In an effort to overcome the need for…
Descriptors: Learning, Models, Artificial Intelligence
Yoo, Jaebong; Kim, Jihie – International Journal of Artificial Intelligence in Education, 2014
Although many college courses adopt online tools such as Q&A online discussion boards, there is no easy way to measure or evaluate their effect on learning. As a part of supporting instructional assessment of online discussions, we investigate a predictive relation between characteristics of discussion contributions and student performance.…
Descriptors: Discussion Groups, Participation, Group Activities, Student Projects
Lenat, Douglas B.; Durlach, Paula J. – International Journal of Artificial Intelligence in Education, 2014
We often understand something only after we've had to teach or explain it to someone else. Learning-by-teaching (LBT) systems exploit this phenomenon by playing the role of "tutee." BELLA, our sixth-grade mathematics LBT systems, departs from other LTB systems in several ways: (1) It was built not from scratch but by very slightly…
Descriptors: Artificial Intelligence, Knowledge Level, Mathematics Instruction, Teaching Methods
Weragama, Dinesha; Reye, Jim – International Journal of Artificial Intelligence in Education, 2014
Programming is a subject that many beginning students find difficult. The PHP Intelligent Tutoring System (PHP ITS) has been designed with the aim of making it easier for novices to learn the PHP language in order to develop dynamic web pages. Programming requires practice. This makes it necessary to include practical exercises in any ITS that…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Programming Languages
Ishizuka, Hiroki; Kiyoshi, Akama – International Journal on E-Learning, 2014
Numerous attempts have been made to use Second Life (SL) as a platform for language teaching. As a result, the possibility of SL as a means to promote conversational interactions has been reported. However, research has thus far largely focused on simply using SL without further augmentations for communication between learners or between teachers…
Descriptors: Computer Simulation, Internet, Computer Mediated Communication, Second Language Learning
Hwang, Gwo-Jen; Hung, Pi-Hsia; Chen, Nian-Shing; Liu, Gi-Zen – Educational Technology & Society, 2014
Scholars have identified that learning in an authentic environment with quality contextual and procedural supports can engage students in thorough observations and knowledge construction. Moreover, the target is that students are able to experience and make sense of all of the learning activities in the real-world environment with meaningful…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Tutoring
Beggrow, Elizabeth P.; Ha, Minsu; Nehm, Ross H.; Pearl, Dennis; Boone, William J. – Journal of Science Education and Technology, 2014
The landscape of science education is being transformed by the new "Framework for Science Education" (National Research Council, "A framework for K-12 science education: practices, crosscutting concepts, and core ideas." The National Academies Press, Washington, DC, 2012), which emphasizes the centrality of scientific…
Descriptors: Science Education, Educational Assessment, Artificial Intelligence, Open Source Technology
Akin, H. Levent; Meriçli, Çetin; Meriçli, Tekin – Computer Science Education, 2013
Teaching the fundamentals of robotics to computer science undergraduates requires designing a well-balanced curriculum that is complemented with hands-on applications on a platform that allows rapid construction of complex robots, and implementation of sophisticated algorithms. This paper describes such an elective introductory course where the…
Descriptors: Robotics, Computer Science Education, Undergraduate Study, Introductory Courses
Di Bitonto, Pierpaolo; Roselli, Teresa; Rossano, Veronica; Sinatra, Maria – International Journal of Distance Education Technologies, 2013
One of the most closely investigated topics in e-learning research has always been the effectiveness of adaptive learning environments. The technological evolutions that have dramatically changed the educational world in the last six decades have allowed ever more advanced and smarter solutions to be proposed. The focus of this paper is to depict…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Instruction, Artificial Intelligence
Ptaszynski, Michal; Dybala, Pawel; Mazur, Michal; Rzepka, Rafal; Araki, Kenji; Momouchi, Yoshio – International Journal of Distance Education Technologies, 2013
This paper presents research in Contextual Affect Analysis (CAA) for the need of future application in intelligent agents, such as conversational agents or artificial tutors. The authors propose a new term, Computational Fronesis (CF), to embrace the tasks included in CAA applied to development of conversational agents such as artificial tutors.…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
Norton, David; Heath, Derrall; Ventura, Dan – Journal of Creative Behavior, 2013
Creativity is an important component of human intelligence, and imbuing artificially intelligent systems with creativity is an interesting challenge. In particular, it is difficult to quantify (or even qualify) creativity. Recently, it has been suggested that conditions for attributing creativity to a system include: appreciation, imagination, and…
Descriptors: Creativity, Computers, Artificial Intelligence, Visual Arts
Tang, Stephen; Hanneghan, Martin; Carter, Christopher – Electronic Journal of e-Learning, 2013
Game-based learning (GBL) combines pedagogy and interactive entertainment to create a virtual learning environment in an effort to motivate and regain the interest of a new generation of "digital native" learners. However, this approach is impeded by the limited availability of suitable "serious" games and high-level design…
Descriptors: Models, Engineering, Instructional Design, Computer Games

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