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Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
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Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – International Journal of Artificial Intelligence in Education, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students--explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – Grantee Submission, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students -- explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Waggoner, Matt – Liberal Education, 2013
The Turing era, defined by British mathematician and computer science pioneer Alan Turing's question about whether or not computers can think, is not over. Philosophers and scientists will continue to haggle over whether thought necessitates intentionality, and whether computation can rise to that level. Meanwhile, another frontier is emerging in…
Descriptors: Electronic Learning, Critical Thinking, Artificial Intelligence, Computers
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Guo, Yan Ru; Goh, Dion Hoe-Lian – Journal of Educational Computing Research, 2015
Over the past decade, computer games and other interactive technologies have shown great potential when used in innovative ways to enhance learning. It is now known that learning is associated not only with cognitive ability but also with affect. The incorporation of affective embodied pedagogical agents (EPAs) in computer programs for learning…
Descriptors: Meta Analysis, Affective Behavior, Educational Technology, Instructional Effectiveness
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Heslep, Robert D. – Studies in Philosophy and Education, 2012
The computer engineers who refer to the education of computers do not have a definite idea of education and do not bother to justify the fuzzy ones to which they allude. Hence, they logically cannot specify the features a computer must have in order to be educable. This paper puts forth a non-standard, but not arbitrary, concept of education that…
Descriptors: Artificial Intelligence, Computers, Computer Software, Human Factors Engineering
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Tsai, Jinn-Tsong; Chou, Ping-Yi; Fang, Jia-Cen – IEEE Transactions on Education, 2012
An intelligent genetic algorithm (IGA) is proposed to solve Japanese nonograms and is used as a method in a university course to learn evolutionary algorithms. The IGA combines the global exploration capabilities of a canonical genetic algorithm (CGA) with effective condensed encoding, improved fitness function, and modified crossover and…
Descriptors: Puzzles, Artificial Intelligence, Mathematics, Computer Science Education
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Aryadoust, Vahid – International Journal of Testing, 2015
The present study uses a mixture Rasch model to examine latent differential item functioning in English as a foreign language listening tests. Participants (n = 250) took a listening and lexico-grammatical test and completed the metacognitive awareness listening questionnaire comprising problem solving (PS), planning and evaluation (PE), mental…
Descriptors: Item Response Theory, English (Second Language), Listening Comprehension Tests, Metacognition
Delgado, M.; Fajardo, W.; Molina-Solana, M. – International Association for Development of the Information Society, 2013
In the last decades there have been several attempts to use computers in Music Education. New pedagogical trends encourage incorporating technology tools in the process of learning music. Between them, those systems based on Artificial Intelligence are the most promising ones, as they can derive new information from the inputs and visualize them…
Descriptors: Electronic Learning, Computer Software, Music Education, Music Activities
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Vu, Phu; Fredrickson, Scott; Meyer, Richard – Online Journal of Distance Learning Administration, 2016
With a dearth of research on human-robot interaction in education and relatively high non-completion rates of online students, this study was conducted to determine the feasibility of using a virtual assistant (VA) to respond to questions and concerns of students and provide 24/7 online course content support. During a 16 week-long academic…
Descriptors: Electronic Learning, Robotics, Online Courses, Feasibility Studies
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Kurubacak, Gulsun, Ed.; Altinpulluk, Hakan, Ed. – IGI Global, 2017
Novel trends and innovations have enhanced contemporary educational environments. When applied properly, these computing advances can create enriched learning opportunities for students. "Mobile Technologies and Augmented Reality in Open Education" is a pivotal reference source for the latest academic research on the integration of…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Salman, Raied – ProQuest LLC, 2012
The dissertation deals with clustering algorithms and transforming regression problems into classification problems. The main contributions of the dissertation are twofold; first, to improve (speed up) the clustering algorithms and second, to develop a strict learning environment for solving regression problems as classification tasks by using…
Descriptors: Classification, Mathematics, Regression (Statistics), Problem Solving
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Mattson, Donald C. – Art Therapy: Journal of the American Art Therapy Association, 2012
This article provides a historical overview of computer-assisted art assessment, introduces the basic concepts of computerized assessment of art-based instruments (CAABI), and offers a tutorial to assist art therapists in the study of its application. Understanding this emergent technology may assist art therapists in overcoming hesitancy in…
Descriptors: Art Therapy, Freehand Drawing, Measures (Individuals), Computer Assisted Testing
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Wen, Yun, Ed.; Wu, Yi-ju, Ed.; Qi, Grace, Ed.; Guo, Siao-Cing, Ed.; Spector, J. Michael, Ed.; Chelliah, Shobhana, Ed.; Kinshuk, Ed.; Lan, Yu-Ju, Ed. – Lecture Notes in Educational Technology, 2021
This book uncovers the important issues in language learning and teaching in the intelligent, digital era. "Social connectivity" is a contemporary style of learning and living. By engaging in the connectivity of physical and digital worlds, how essential parts of language learning and teaching can be achieved? How can the advanced…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Information Technology
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Dogmus, Zeynep; Erdem, Esra; Patogulu, Volkan – IEEE Transactions on Education, 2015
This paper presents ReAct!, an interactive educational tool for artificial intelligence (AI) planning for robotics. ReAct! enables students to describe robots' actions and change in dynamic domains without first having to know about the syntactic and semantic details of the underlying formalism, and to solve planning problems using…
Descriptors: Robotics, Artificial Intelligence, Instructional Effectiveness, Outcomes of Education
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