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Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
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Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education
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Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; de Castro, Carlos – Internet and Higher Education, 2011
This paper describes a collaborative educational data mining tool based on association rule mining for the ongoing improvement of e-learning courses and allowing teachers with similar course profiles to share and score the discovered information. The mining tool is oriented to be used by non-expert instructors in data mining so its internal…
Descriptors: Electronic Learning, Cooperation, Data, Instructional Design
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Roll, Ido; Aleven, Vincent; McLaren, Bruce M.; Koedinger, Kenneth R. – Learning and Instruction, 2011
The present research investigated whether immediate metacognitive feedback on students' help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a commercial tutoring system for geometry, the Geometry Cognitive Tutor. Study 1, with 58 students, found…
Descriptors: Feedback (Response), Help Seeking, Intelligent Tutoring Systems, Program Effectiveness
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van Meeuwen, Ludo W.; Brand-Gruwel, Saskia; Kirschner, Paul A.; de Bock, Jeano J. P. R.; Oprins, Esther; van Merriënboer, Jeroen J. G. – Technology, Instruction, Cognition and Learning, 2013
In the field of aviation, air traffic controllers must be able to adapt to and act upon continuing changes in a highly advanced technological work environment. This position paper claims that explicit training of self-directed learning skills (i.e. the ability to: formulate own learning needs, set own learning goals, and identify learning tasks…
Descriptors: Independent Study, Air Transportation, Traffic Safety, Employees
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Belenky, Daniel; Ringenberg, Michael; Olsen, Jennifer; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2013
Dual eye-tracking measures enable novel ways to test predictions about collaborative learning. For example, the research project we are engaging in uses measures of gaze recurrence to help understand how collaboration may differ when students are completing various learning activities focused on different learning objectives. Specifically, we…
Descriptors: Eye Movements, Cooperative Learning, Hypothesis Testing, Learning Activities
Hrubik-Vulanovic, Tatjana – ProQuest LLC, 2013
The purpose of this study was to investigate how intelligent tutoring system ALEKS, which was implemented in remedial Basic Algebra courses, affected students' success in subsequent lecture courses and how former ALEKS students and instructors in lecture courses perceived ALEKS learning environment. ALEKS courses were delivered in emporium style:…
Descriptors: Intelligent Tutoring Systems, Algebra, Mathematics Instruction, Mathematics Education
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Roscoe, Rod D.; Varner, Laura K.; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2013
Various computer tools have been developed to support educators' assessment of student writing, including automated essay scoring and automated writing evaluation systems. Research demonstrates that these systems exhibit relatively high scoring accuracy but uncertain instructional efficacy. Students' writing proficiency does not necessarily…
Descriptors: Writing Instruction, Intelligent Tutoring Systems, Computer Assisted Testing, Writing Evaluation
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Nitchot, Athitaya; Gilbert, Lester; Wills, Gary B. – Journal of Educational Technology Systems, 2014
The article proposes a self-study system which suggests web links to learners. The suggestions depend upon the learner's chosen competences selected from a competence structure for a particular knowledge domain. Three experiments were conducted, where the first compared the perceived usefulness and value of the links generated by different…
Descriptors: Competency Based Education, Independent Study, Instructional Materials, Hypermedia
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Jackson, G. Tanner; McNamara, Danielle S. – Journal of Educational Psychology, 2013
One strength of educational games stems from their potential to increase students' motivation and engagement during educational tasks. However, game features may also detract from principle learning goals and interfere with students' ability to master the target material. To assess the potential impact of game-based learning environments, in this…
Descriptors: Intelligent Tutoring Systems, Educational Games, Student Motivation, Learning
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Lorenzo, Gonzalo; Pomares, Jorge; Lledo, Asuncion – Computers & Education, 2013
This paper presents the use of immersive virtual reality systems in the educational intervention with Asperger students. The starting points of this study are features of these students' cognitive style that requires an explicit teaching style supported by visual aids and highly structured environments. The proposed immersive virtual reality…
Descriptors: Intervention, Learning Strategies, Cognitive Style, Asperger Syndrome
Grivokostopoulou, Foteini; Hatzilygeroudis, Ioannis – International Association for Development of the Information Society, 2013
In this paper, we present a way of teaching AI search algorithms in a web-based adaptive educational system. Teaching is based on interactive examples and exercises. Interactive examples, which use visualized animations to present AI search algorithms in a step-by-step way with explanations, are used to make learning more attractive. Practice…
Descriptors: Artificial Intelligence, Mathematics, Web Based Instruction, Intelligent Tutoring Systems
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Lehman, Blair; D'Mello, Sidney; Graesser, Art – Internet and Higher Education, 2012
Folk wisdom holds that being confused is detrimental to learning. However, research on emotions and learning suggest a somewhat more complex relationship between confusion and learning outcomes. In fact, it has been proposed that impasses that trigger states of cognitive disequilibrium and confusion can create opportunities for deep learning of…
Descriptors: Feedback (Response), Learning Strategies, Problem Solving, Intervention
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Wolff, Annika; Mulholland, Paul; Zdrahal, Zdenek – Interactive Learning Environments, 2014
This paper describes an approach for supporting inquiry learning from source materials, realised and tested through a tool-kit. The approach is optimised for tasks that require a student to make interpretations across sets of resources, where opinions and justifications may be hard to articulate. We adopt a dialogue-based approach to learning…
Descriptors: Inquiry, Dialogs (Language), Feedback (Response), Web 2.0 Technologies
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Golonka, Ewa M.; Bowles, Anita R.; Frank, Victor M.; Richardson, Dorna L.; Freynik, Suzanne – Computer Assisted Language Learning, 2014
This review summarizes evidence for the effectiveness of technology use in foreign language (FL) learning and teaching, with a focus on empirical studies that compare the use of newer technologies with more traditional methods or materials. The review of over 350 studies (including classroom-based technologies, individual study tools,…
Descriptors: Educational Technology, Teaching Methods, Second Language Instruction, Second Language Learning
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