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Relevant bibliographies by topics / Intelligent tutoring systems. Cognitive learning

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Academic literature on the topic 'Intelligent tutoring systems. Cognitive learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Dissertations / Theses on the topic "Intelligent tutoring systems. Cognitive learning"

1

Atolagbe, Tajudeen Abayomi. "A generic architecture for interactive intelligent tutoring systems." Thesis, Brunel University, 2001. http://bura.brunel.ac.uk/handle/2438/5013.

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This research is focused on developing a generic intelligent architecture for an interactive tutoring system. A review of the literature in the areas of instructional theories, cognitive and social views of learning, intelligent tutoring systems development methodologies, and knowledge representation methods was conducted. As a result, a generic ITS development architecture (GeNisa) has been proposed, which combines the features of knowledge base systems (KBS) with object-oriented methodology. The GeNisa architecture consists of the following components: a tutorial events communication module,

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2

Ghemri, Lila. "Cognitive modelling in an intelligent tutoring system for second language." Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386345.

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Widmer, Colin Leigh. "Explanative and Argumentative Interactions with an Intelligent Tutoring System." Miami University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=miami1386173705.

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Adenowo, Adetokunbo. "Augmented conversation and cognitive apprenticeship metamodel based intelligent learning activity builder system." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/8238.

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This research focused on a formal (theory based) approach to designing Intelligent Tutoring System (ITS) authoring tool involving two specific conventional pedagogical theories—Conversation Theory (CT) and Cognitive Apprenticeship (CA). The research conceptualised an Augmented Conversation and Cognitive Apprenticeship Metamodel (ACCAM) based on apriori theoretical knowledge and assumptions of its underlying theories. ACCAM was implemented in an Intelligent Learning Activity Builder System (ILABS)—an ITS authoring tool. ACCAM’s implementation aims to facilitate formally designed tutoring system

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Zakharov, Konstantin. "Affect Recognition and Support in Intelligent Tutoring Systems." Thesis, University of Canterbury. Computer Science and Software Engineering, 2007. http://hdl.handle.net/10092/1216.

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Empirical research provides evidence of strong interaction between cognitive and affective processes in the human mind. Education research proposes a model of constructive learning that relates cognitive and affective processes in an evolving cycle of affective states. Intelligent Tutoring Systems (ITSs) are capable of providing comprehensive cognitive support. Affective support in ITSs, however, is lagging behind; the in-depth exploration of cognitive and affective processes in ITSs is yet to be seen. Our research focuses on the integration of affective support in an ITS enhanced with

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Croteau, Ethan. "Evaluating predictions of transfer and analyzing student motivation." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0430104-105752/.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: Dialog; Learning Gain; Web-Based Evaluations; Empirical Results; Student Motivation; Mathematics education; Model-Tracing Tutors; Tutoring Strategy Evaluation; Intelligent Tutoring. Includes bibliographical references (p. 33-34).

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Lockhart, Tony F. "Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39556.

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The impact of affect on learning and performance has caused many researchers in the field of cognitive psychology to acknowledge the value of motivationally supportive instruction. Goal orientation, which refers to the perceptions and behaviors of the learner in achievement situations, has been the most predominant theory in learning motivation. However, research suggests multiple components are responsible for affecting student cognitive engagement. The traditional framework distinguishes individuals who are self-motivated to master challenging tasks from those who are motivated to earn favor

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Freyberger, Jonathan E. "Using association rules to guide a search for best fitting transfer models of student learning." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0430104-014117/.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: aprior; ASAS; association rules; logistic regression; transfer models; predicting performance. Includes bibliographical references (p. 50-51).

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9

Nwaogu, Eze. "The Effect of Aleks on Students' Mathematics Achievement in an Online Learning Environment and the Cognitive Complexity of the Initial and Final Assessments." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/msit_diss/94.

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For many courses, mathematics included, there is an associated interactive e-learning system that provides assessment and tutoring. Some of these systems are classified as Intelligent Tutoring Systems. MyMathLab, Mathzone, and Assessment of LEarning in Knowledge Space (ALEKS) are just a few of the interactive e-learning systems in mathematics. In ALEKS, assessment and tutoring are based on the Knowledge Space Theory. Previous studies in a traditional learning environment have shown ALEKS users to perform equally or better in mathematics achievement than the group who did not use ALEKS. The pur

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10

Green, Derek Tannell. "INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/203476.

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Throughout history education has been restricted to a relatively small percentage of the world's population. The cause can be attributed to a number of factors; how- ever, it has been chiefly due to excessive cost. As we enter the information age it becomes conceivable to make education freely available to anyone, anywhere, any- time. The Intelligent Tutoring System is an automated teaching system designed to improve through experience, eventually learning to tailor its teaching to perfectly match each individual student's needs and preferences. In this dissertation we describe a template whic

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