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Self, John – International Journal of Artificial Intelligence in Education, 2016
This document tries to describe the events of the early days of AIED research that led to the AIED Conferences and Society and, in particular, the "International Journal of Artificial Intelligence in Education."
Descriptors: Periodicals, Artificial Intelligence, Educational Research, Educational History
Graesser, Arthur C. – Grantee Submission, 2016
AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Communication Strategies, Dialogs (Language)
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Johnson, W. Lewis; Lester, James C. – International Journal of Artificial Intelligence in Education, 2016
Johnson et al. ("International Journal of Artificial Intelligence in Education," 11, 47-78, 2000) introduced and surveyed a new paradigm for interactive learning environments: animated pedagogical agents. The article argued for combining animated interface agent technologies with intelligent learning environments, yielding intelligent…
Descriptors: Teaching Methods, Intelligent Tutoring Systems, Outcomes of Education, Computer Assisted Instruction
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Dimitrova, Vania; Brna, Paul – International Journal of Artificial Intelligence in Education, 2016
STyLE-OLM (Dimitrova 2003 "International Journal of Artificial Intelligence in Education," 13, 35-78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can "inspect," "discuss" and "alter" the learner model that has been jointly…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Interaction
Snow, Erica L.; Likens, Aaron D.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2015
Game-based environments frequently afford students the opportunity to exert agency over their learning paths by making various choices within the environment. The combination of log data from these systems and dynamic methodologies may serve as a stealth means to assess how students behave (i.e., deterministic or random) within these learning…
Descriptors: High School Students, Pretests Posttests, Teaching Methods, Technology Uses in Education
Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2016
Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…
Descriptors: Reading Comprehension, Writing Strategies, Reading Strategies, Content Area Writing
Nye, Benjamin D.; Graesser, Arthur C.; Hu, Xiangen – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
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Mitrovic, Antonija; Ohlsson, Stellan – International Journal of Artificial Intelligence in Education, 2016
SQL-Tutor is the first constraint-based tutor. The initial conference papers about the system were published in 1998 (Mitrovic 1998a, 1998b, 1998c), with an "IJAIED" paper published in 1999 (Mitrovic and Ohlsson, "International Journal Artificial Intelligence in Education," 10(3-4), 238-256, 1999). We published another…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer System Design
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Kim, Yanghee; Baylor, Amy L. – International Journal of Artificial Intelligence in Education, 2016
In this paper we review the contribution of our original work titled "Simulating Instructional Roles Through Pedagogical Agents" published in the "International Journal of Artificial Intelligence and Education" (Baylor and Kim in "Computers and Human Behavior," 25(2), 450-457, 2005). Our original work operationalized…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer Interfaces, Instructional Design
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Blanchard, Emmanuel G. – International Journal of Artificial Intelligence in Education, 2015
This paper investigates international representations in the Artificial Intelligence in Education (AIED) research field. Its methodological and theoretical groundings are inspired by Arnett (2008) and Henrich et al. (2010a) who addressed the same issue in psychology, and respectively a) discovered massive imbalances in representation in top-tier…
Descriptors: Artificial Intelligence, Educational Research, Conferences (Gatherings), Culture
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Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
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Roll, Ido; Wylie, Ruth – International Journal of Artificial Intelligence in Education, 2016
The field of Artificial Intelligence in Education (AIED) has undergone significant developments over the last twenty-five years. As we reflect on our past and shape our future, we ask two main questions: What are our major strengths? And, what new opportunities lay on the horizon? We analyse 47 papers from three years in the history of the…
Descriptors: Educational Research, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Goldberg, Benjamin; Amburn, Charles; Ragusa, Charlie; Chen, Dar-Wei – International Journal of Artificial Intelligence in Education, 2018
The U.S. Army is interested in extending the application of intelligent tutoring systems (ITS) beyond cognitive problem spaces and into psychomotor skill domains. In this paper, we present a methodology and validation procedure for creating expert model representations in the domain of rifle marksmanship. GIFT (Generalized Intelligent Framework…
Descriptors: Psychomotor Skills, Intelligent Tutoring Systems, Program Validation, Models
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Burleson, Winslow; Lewis, Armanda – International Journal of Artificial Intelligence in Education, 2016
This essay imagines the role that artificial intelligence innovations play in the integrated living, learning and research environments of 2041. Here, in 2041, in the context of increasingly complex wicked challenges, whose solutions by their very nature continue to evade even the most capable experts, society and technology have co-evolved to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Research
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Wiley, Jennifer; Hastings, Peter; Blaum, Dylan; Jaeger, Allison J.; Hughes, Simon; Wallace, Patricia; Griffin, Thomas D.; Britt, M. Anne – International Journal of Artificial Intelligence in Education, 2017
This article describes several approaches to assessing student understanding using written explanations that students generate as part of a multiple-document inquiry activity on a scientific topic (global warming). The current work attempts to capture the causal structure of student explanations as a way to detect the quality of the students'…
Descriptors: Science Instruction, Climate, Ecology, Concept Formation
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