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Lerner, Warren D. – ProQuest LLC, 2013
In this quantitative correlational study, simulated data were employed to examine artificial-intelligence techniques or, more specifically, artificial neural networks, as they relate to the location prediction of improvised explosive devices (IEDs). An ANN model was developed to predict IED placement, based upon terrain features and objects…
Descriptors: Weapons, Prediction, Geographic Location, Artificial Intelligence
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Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
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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
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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
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Samei, Borhan; Olney, Andrew M.; Kelly, Sean; Nystrand, Martin; D'Mello, Sidney; Blanchard, Nathan; Sun, Xiaoyi; Glaus, Marcy; Graesser, Art – Grantee Submission, 2014
We present a machine learning model that uses particular attributes of individual questions asked by teachers and students to predict two properties of classroom discourse that have previously been linked to improved student achievement. These properties, uptake and authenticity, have previously been studied by using trained observers to live-code…
Descriptors: Artificial Intelligence, Models, Discourse Analysis, Academic Discourse
Shouping Hu, Editor; Joe O'Shea, Editor – Routledge, Taylor & Francis Group, 2025
"The Routledge Handbook on Postsecondary Student Success" offers a comprehensive and authoritative examination of student success in postsecondary education. This handbook addresses critical issues in student success, such as student engagement, mental health, and degree completion to provide valuable insights on promoting student…
Descriptors: Postsecondary Education, Success, College Students, Learner Engagement
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Mack Shelley, Editor; Ozkan Akman, Editor; Sabri Turgut, Editor – International Society for Technology, Education, and Science, 2024
"Proceedings of International Conference on Humanities, Social and Education Sciences" includes full papers presented at the International Conference on Humanities, Social and Education Sciences (iHSES) which took place on April 16-19, 2024, in San Francisco, California, United States of America. The aim of the conference is to offer…
Descriptors: Computer Uses in Education, Artificial Intelligence, Lifelong Learning, Community College Students
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Laohajaratsang, Thanomporn – THAITESOL Journal, 2018
This research examines a selection of academic articles, existing evidence, and early indications of newly-designed Learning Management System (LMS) tools/functions, and then analyzes and synthesizes the concepts to form a thorough description of the components within the concept of next-generation LMS. The comparison of conventional LMS and…
Descriptors: Management Systems, Artificial Intelligence, Social Media, Computer Mediated Communication
AlDahdouh, Alaa A.; Osório, António J.; Caires, Susana – Online Submission, 2015
Behaviorism, Cognitivism, Constructivism and other growing theories such as Actor-Network and Connectivism are circulating in the educational field. For each, there are allies who stand behind research evidence and consistency of observation. Meantime, those existing theories dominate the field until the background is changed or new concrete…
Descriptors: Learning Theories, Social Networks, Constructivism (Learning), Networks
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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
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Rummel, Nikol; Walker, Erin; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2016
In this position paper we contrast a Dystopian view of the future of adaptive collaborative learning support (ACLS) with a Utopian scenario that--due to better-designed technology, grounded in research--avoids the pitfalls of the Dystopian version and paints a positive picture of the practice of computer-supported collaborative learning 25 years…
Descriptors: Artificial Intelligence, Cooperative Learning, Futures (of Society), Electronic Learning
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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
Banea, Carmen – ProQuest LLC, 2013
Socrates articulated it best, "Speak, so I may see you." Indeed, language represents an invisible probe into the mind. It is the medium through which we express our deepest thoughts, our aspirations, our views, our feelings, our inner reality. From the beginning of artificial intelligence, researchers have sought to impart human like…
Descriptors: Multilingualism, Computational Linguistics, English, Classification
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McMahon, Don Douglas; Walker, Zachary – Center for Educational Policy Studies Journal, 2019
The aim of this article is to explore the opportunities and challenges that arise with the proliferation of new technology, to provide an understanding of why it is important to try new strategies in education, and to provide an inclusive framework for experimentation using tools such as robotisation, automatisation, artificial intelligence and…
Descriptors: Inclusion, Access to Education, Educational Experience, Educational Strategies
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
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