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Weiz, Rob; Kodaganallur, Viswanathan; Rosenthal, David – Technology, Instruction, Cognition and Learning, 2010
Building intelligent tutoring systems presents significant challenges -- one challenge arises because tutoring is concerned with unobservable inner workings of the human brain; another results from the formidable task of knowledge representation and reasoning; still a third is due to the competing theories of teaching and learning. Over the past…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Models
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Arroyo, Ivon; Woolf, Beverly Park; Burelson, Winslow; Muldner, Kasia; Rai, Dovan; Tai, Minghui – International Journal of Artificial Intelligence in Education, 2014
This article describes research results based on multiple years of experimentation and real-world experience with an adaptive tutoring system named Wayang Outpost. The system represents a novel adaptive learning technology that has shown successful outcomes with thousands of students, and provided teachers with valuable information about students'…
Descriptors: Intelligent Tutoring Systems, Multimedia Instruction, Mathematics Instruction, Learner Engagement
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Walkington, Candace A. – Journal of Educational Psychology, 2013
Adaptive learning technologies are emerging in educational settings as a means to customize instruction to learners' background, experiences, and prior knowledge. Here, a technology-based personalization intervention within an intelligent tutoring system (ITS) for secondary mathematics was used to adapt instruction to students' personal interests.…
Descriptors: Individualized Instruction, Educational Technology, Intelligent Tutoring Systems, Secondary School Mathematics
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Mendiburo, Maria; Williams, Laura; Segedy, James; Hasselbring, Ted – Society for Research on Educational Effectiveness, 2013
In this paper, the authors explore the use of learning analytics as a method for easing the cognitive demands on teachers implementing the HALF instructional model. Learning analytics has been defined as "the measurement, collection, analysis and reporting of data about learners and their contexts for the purposes of understanding and…
Descriptors: Educational Research, Data Collection, Data Analysis, Teaching Methods
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Rai, Dovan; Beck, Joseph E. – International Journal of Game-Based Learning, 2012
Educational games intend to make learning more enjoyable, but carry the potential cost of compromising learning efficiency by consuming both instructional time and student cognitive resources. Therefore, instead of creating an educational game, the authors create a learning environment with game-like elements, the aspects of games that are…
Descriptors: Mathematics Education, Educational Environment, Games, Educational Experiments
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Kim, ChanMin – Educational Technology Research and Development, 2012
In this paper, guidelines for designing virtual change agents (VCAs) are proposed to support students' affective and motivational needs in order to promote personalized learning in online remedial mathematics courses. Automated, dynamic, and personalized support is emphasized in the guidelines through maximizing "interactions" between VCAs and…
Descriptors: Electronic Learning, Instructional Design, Online Courses, Web Based Instruction
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Bouyias, Yannis; Demetriadis, Stavros – Computers & Education, 2012
Research on computer-supported collaborative learning (CSCL) has strongly emphasized the value of providing student support with micro-scripts, which should withdraw (fade-out) allowing students to practice the acquired skills. However, research on fading shows conflicting results and some researchers suggest that the impact of fading is enhanced…
Descriptors: Control Groups, Persuasive Discourse, Cooperative Learning, Learning Strategies
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du Boulay, Benedict; Avramides, Katerina; Luckin, Rosemary; Martinez-Miron, Erika; Rebolledo-Mendez, Genaro; Carr, Amanda – International Journal of Artificial Intelligence in Education, 2010
This paper describes a Conceptual Framework underpinning "Systems that Care" in terms of educational systems that take account of motivation, metacognition and affect, in addition to cognition. The main focus is on "motivation," as learning requires the student to put in effort and be engaged, in other words to be motivated to learn. But…
Descriptors: Learning Motivation, Metacognition, Affective Behavior, Schemata (Cognition)
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D'Mello, Sidney K.; Dowell, Nia; Graesser, Arthur – Journal of Experimental Psychology: Applied, 2011
There is the question of whether learning differs when students speak versus type their responses when interacting with intelligent tutoring systems with natural language dialogues. Theoretical bases exist for three contrasting hypotheses. The "speech facilitation" hypothesis predicts that spoken input will "increase" learning,…
Descriptors: Intelligent Tutoring Systems, Prior Learning, Natural Language Processing, Tutoring
Wijekumar, Kausalai; Meyer, Bonnie J. F.; Lei, Puiwa – International Association for Development of the Information Society, 2014
Reading in the content areas of science, social studies, and current events is a difficult task that is even more elusive to Spanish speaking English language learners. There is a huge increase in children transitioning from their L1 (e.g., Spanish) to L2 (e.g., English) in classrooms across the US. These ELs face challenges due to a lack of…
Descriptors: Content Area Reading, Reading Comprehension, Grade 4, Grade 5
Eom, Soojeong – ProQuest LLC, 2012
Learning vocabulary and understanding texts present difficulty for language learners due to, among other things, the high degree of lexical ambiguity. By developing an intelligent tutoring system, this dissertation examines whether automatically providing enriched sense-specific information is effective for vocabulary learning and reading…
Descriptors: Intelligent Tutoring Systems, Vocabulary Development, Reading Comprehension, Second Language Learning
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Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira – Interactive Technology and Smart Education, 2012
Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…
Descriptors: Electronic Learning, Student Needs, Cognitive Style, Internet
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Halpern, Diane F.; Millis, Keith; Graesser, Arthur C.; Butler, Heather; Forsyth, Carol; Cai, Zhiqiang – Thinking Skills and Creativity, 2012
Operation ARA (Acquiring Research Acumen) is a computerized learning game that teaches critical thinking and scientific reasoning. It is a valuable learning tool that utilizes principles from the science of learning and serious computer games. Students learn the skills of scientific reasoning by engaging in interactive dialogs with avatars. They…
Descriptors: Critical Thinking, Tutoring, Thinking Skills, Educational Games
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Bouchet, Francois; Harley, Jason M.; Trevors, Gregory J.; Azevedo, Roger – Journal of Educational Data Mining, 2013
In this paper, we present the results obtained using a clustering algorithm (Expectation-Maximization) on data collected from 106 college students learning about the circulatory system with MetaTutor, an agent-based Intelligent Tutoring System (ITS) designed to foster self-regulated learning (SRL). The three extracted clusters were validated and…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Individualized Instruction
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Mostow, Jack; Nelson-Taylor, Jessica; Beck, Joseph E. – Journal of Educational Computing Research, 2013
A 7-month study of 178 students in grades 1-4 at two Blue Ribbon schools compared two daily 20-minute treatments. Eighty-eight students used the 2000-2001 version of Project LISTEN's Reading Tutor (www.cs.cmu.edu/~listen) in 10-computer labs, averaging 19 hours over the course of the year. The Reading Tutor served as a computerized implementation…
Descriptors: Oral Reading, Intelligent Tutoring Systems, Sustained Silent Reading, Comparative Analysis
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