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Pirnay-Dummer, Pablo; Walter, Satjawan – Technology, Instruction, Cognition and Learning, 2009
Using the theory of mental models to account for the process of human mental information processing and representation has become an important approach in the field of knowledge engineering. Most methods of knowledge assessment are based on graphical concept mapping techniques. Tools like MITOCAR complement the graphical approaches by…
Descriptors: Schemata (Cognition), Cognitive Processes, Natural Language Processing, Standards
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Bowman, Catherine D. D. – British Journal of Educational Technology, 2012
Animated pedagogical agents (APAs) have the potential to provide one-on-one, just-in-time instruction, guidance or mentoring in classrooms where such individualized human interactions may be infeasible. Much current APA research focuses on a wide range of design variables tested with small samples or in laboratory settings, while overlooking…
Descriptors: Control Groups, Experimental Groups, Science Curriculum, Middle School Students
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Schroeder, Noah L.; Adesope, Olusola O.; Gilbert, Rachel Barouch – Journal of Educational Computing Research, 2013
Research on the use of software programs and tools such as pedagogical agents has peaked over the last decade. Pedagogical agents are on-screen characters that facilitate instruction. This meta-analysis examined the effect of using pedagogical agents on learning by reviewing 43 studies involving 3,088 participants. Analysis of the results…
Descriptors: Meta Analysis, Cybernetics, Artificial Intelligence, Technology Uses in Education
Leibbrandt, Richard; Yang, Dongqiang; Pfitzner, Darius; Powers, David; Mitchell, Pru; Hayman, Sarah; Eddy, Helen – International Association of School Librarianship, 2010
This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be…
Descriptors: Intelligence, Efficiency, Artificial Intelligence, Classification
Pavlik, Philip, Jr.; Toth, Joe – Online Submission, 2010
The plethora of different subfields in intelligent tutoring systems (ITS) are often difficult to integrate theoretically when analyzing how to design an intelligent tutor. Important principles of design are claimed by many subfields, including but not limited to: design, human-computer interaction, perceptual psychology, cognitive psychology,…
Descriptors: Intelligent Tutoring Systems, Interdisciplinary Approach, Design, Computer Interfaces
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Ketamo, Harri; Suominen, Marko – Journal of Interactive Learning Research, 2010
This paper summarizes the pedagogical design, product development and empirical evaluations of the game series, Animal Class, in terms of design study. The design phases, as well as the evaluation phases (N=2718), were carried out between the years of 2005-2007. The pedagogical idea of Animal Class is to place a learner in the role of teacher in a…
Descriptors: Educational Games, Virtual Classrooms, Teacher Role, Animals
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Han, Keun-Woo; Lee, EunKyoung; Lee, YoungJun – IEEE Transactions on Education, 2010
This paper analyzes the educational effects of a peer-learning agent based on pair programming in programming courses. A peer-learning agent system was developed to facilitate the learning of a programming language through the use of pair programming strategies. This system is based on the role of a peer-learning agent from pedagogical and…
Descriptors: Foreign Countries, Programming Languages, Learning Strategies, Teaching Methods
Rajasingham, Lalita – European Journal of Open, Distance and E-Learning, 2011
This paper explores some new challenges facing universities in a global multimediated Internet-based environment, as they seek alternative paradigms and options to remain true to their core business. At a time of rapid technological change, and contested, complex concepts associated with globalisation, knowledge is becoming a primary factor of…
Descriptors: Electronic Learning, Constructivism (Learning), Higher Education, Open Education
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Welham, David – British Journal of Educational Technology, 2008
Since the beginning of the use of technology to support training and learning there has always been the belief that such new technologies would be able to add value either by reducing costs or increasing effectiveness. The 1980s and early 1990s were a period of enormous optimism as to the promise that such technology could bring. The governments…
Descriptors: Artificial Intelligence, Educational Technology, Research and Development, Foreign Countries
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Strobl, Carolin; Malley, James; Tutz, Gerhard – Psychological Methods, 2009
Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with large numbers of predictor variables even in the presence of complex interactions, have been applied successfully in genetics, clinical medicine, and…
Descriptors: Artificial Intelligence, Decision Making, Psychological Studies, Research Methodology
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Huang, Yueh-Min; Liu, Chien-Hung – Computers & Education, 2009
One of the key challenges in the promotion of web-based learning is the development of effective collaborative learning environments. We posit that the structuration process strongly influences the effectiveness of technology used in web-based collaborative learning activities. In this paper, we propose an ant swarm collaborative learning (ASCL)…
Descriptors: Intelligence, Educational Technology, Internet, Instructional Effectiveness
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Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen – International Journal of Artificial Intelligence in Education, 2012
Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…
Descriptors: Computer Science Education, Metadata, Internet, Artificial Intelligence
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Schejbal, David – Innovative Higher Education, 2012
In this essay I argue that online education, artificial intelligence, and market pressures are driving higher education to adopt the industrial model and to find a new paradigm for delivering education at low costs. In addition, there is tremendous pressure from the federal government to make universities more accountable while making higher…
Descriptors: Higher Education, College Faculty, College Instruction, College Students
Bitton, Ephrat – ProQuest LLC, 2011
This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…
Descriptors: Safety, Opinions, Hypothesis Testing, Intuition
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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