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Iqbal, Azlan – Journal of Aesthetic Education, 2012
Computational aesthetics is a relatively new subfield of artificial intelligence (AI). It includes research that enables computers to "recognize" (and evaluate) beauty in various domains such as visual art, music, and games. Aside from the benefit this gives to humans in terms of creating and appreciating art in these domains, there are perhaps…
Descriptors: Aesthetics, Artificial Intelligence, Computer Software, Games
Du, Jie – ProQuest LLC, 2012
While the question of how to use human knowledge to guide evolutionary search is long-recognized, much remains to be done to answer this question adequately. This dissertation aims to further answer this question by exploring the role of domain knowledge in evolutionary computation as applied to real-world, complex problems, such as financial…
Descriptors: Mathematics, Investment, Knowledge Level, Computation
Dowe, David L.; Hernandez-Orallo, Jose – Intelligence, 2012
Complex, but specific, tasks--such as chess or "Jeopardy!"--are popularly seen as milestones for artificial intelligence (AI). However, they are not appropriate for evaluating the intelligence of machines or measuring the progress in AI. Aware of this delusion, Detterman has recently raised a challenge prompting AI researchers to evaluate their…
Descriptors: Intelligence Tests, Intelligence Quotient, Artificial Intelligence, Measurement
Gonzalez, Avelino J.; Hollister, James R.; DeMara, Ronald F.; Leigh, Jason; Lanman, Brandan; Lee, Sang-Yoon; Parker, Shane; Walls, Christopher; Parker, Jeanne; Wong, Josiah; Barham, Clayton; Wilder, Bryan – International Journal of Artificial Intelligence in Education, 2017
This paper describes an interactive museum exhibit featuring an avatar of Alan Turing that informs museum visitors about artificial intelligence and Turing's seminal Turing Test for machine intelligence. The objective of the exhibit is to engage and motivate visiting children in the hope of sparking an interest in them about computer science and…
Descriptors: Artificial Intelligence, Informal Education, Science Education, Interaction
Malik, Kaleem Razzaq; Mir, Rizwan Riaz; Farhan, Muhammad; Rafiq, Tariq; Aslam, Muhammad – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Research in era of data representation to contribute and improve key data policy involving the assessment of learning, training and English language competency. Students are required to communicate in English with high level impact using language and influence. The electronic technology works to assess students' questions positively enabling…
Descriptors: Knowledge Management, Computer Assisted Testing, Student Evaluation, Search Strategies
Letting Artificial Intelligence in Education out of the Box: Educational Cobots and Smart Classrooms
Timms, Michael J. – International Journal of Artificial Intelligence in Education, 2016
This paper proposes that the field of AIED is now mature enough to break away from being delivered mainly through computers and pads so that it can engage with students in new ways and help teachers to teach more effectively. Mostly, the intelligent systems that AIED has delivered so far have used computers and other devices that were essentially…
Descriptors: Artificial Intelligence, Educational Technology, Robotics, Intelligent Tutoring Systems
Spektor-Precel, Karen; Mioduser, David – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2015
Nowadays, we are surrounded by artifacts that are capable of adaptive behavior, such as electric pots, boiler timers, automatic doors, and robots. The literature concerning human beings' conceptions of "traditional" artifacts is vast, however, little is known about our conceptions of behaving artifacts, nor of the influence of the…
Descriptors: Foreign Countries, Young Children, Theory of Mind, Behavior
Somyürek, Sibel – International Review of Research in Open and Distributed Learning, 2015
This paper aims to give a general review of existing literature on adaptive educational hypermedia systems and to reveal technological trends and approaches within these studies. Fifty-six studies conducted between 2002 and 2012 were examined, to identify prominent themes and approaches. According to the content analysis, the new technological…
Descriptors: Educational Trends, Hypermedia, Educational Technology, Literature Reviews
Montebello, Matthew, Ed. – IGI Global, 2020
Education has gone through numerous radical changes as the digital era has transformed the way we as humans communicate, inform ourselves, purchase goods, and perform other mundane chores at home and at work. New and emerging pedagogies have enabled rapid advancements, perhaps too rapidly. It is a challenge for instructors and researchers alike to…
Descriptors: Educational Change, Information Technology, Educational Research, Electronic Learning
Rainie, Lee; Anderson, Janna – Pew Research Center, 2017
Machines are eating humans' jobs talents. And it is not just about jobs that are repetitive and low skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil…
Descriptors: Futures (of Society), Educational Trends, Trend Analysis, Job Training
Schussler, Deborah; Frank, Jennifer; Lee, Tsan-Kuang; Mahfouz, Julia – Grantee Submission, 2017
Nearly one in three students in the United States today is negatively impacted by bullying. Teachers can play a critical role in stopping bullying-related violence, but many struggle with how to engage students in difficult conversations. Traditional classroom-based pedagogy used to teach communication skills (e.g., modeling & role-play) is…
Descriptors: Computer Simulation, Artificial Intelligence, Role Playing, Teaching Methods
White, James Clifford – ProQuest LLC, 2013
Understanding how people learn the phonological patterns of their language is a major challenge facing the field of phonology. In this dissertation, I approach the issue of phonological learning by focusing on "saltatory" alternations, which occur when two alternating sounds "leap over" an intermediate, invariant sound (e.g.,…
Descriptors: Phonological Awareness, Bias, Artificial Intelligence, Experiments
Zhang, Zhenxue – ProQuest LLC, 2013
Blessed by the Internet age, many online retailers (e.g., Amazon.com) have deployed recommender systems to help their customers identify products that may be of their interest in order to improve cross-selling and enhance customer loyalty. Collaborative Filtering (CF) is the most successful technique among different approaches to generating…
Descriptors: Internet, Retailing, Opinions, Publications
Lemes, Mauricio R.; Dal Pino, Arnaldo – Journal of Chemical Education, 2011
Although several chemical elements were not known by end of the 19th century, Mendeleev came up with an astonishing achievement, the periodic table of elements. He was not only able to predict the existence of (then) new elements, but also to provide accurate estimates of their chemical and physical properties. This is a profound example of the…
Descriptors: Chemistry, Classification, Artificial Intelligence, Networks
Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D. – IEEE Transactions on Learning Technologies, 2014
In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…
Descriptors: Artificial Intelligence, Concept Mapping, Teaching Methods, Student Evaluation

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