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Relevant bibliographies by topics / Intelligent tutoring system

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Academic literature on the topic 'Intelligent tutoring system'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Intelligent tutoring system"

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S.B., Bele1 &. Miss.S.K. Totade2. "INTELLIGENT TUTORING SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 4 (2018): 141–44. https://doi.org/10.5281/zenodo.1229026.

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The term "intelligent” refers to a system with the ability to know what to teach, when to teach and how to teach. Intelligent Tutoring System (ITS) is a branch of Artificial Intelligence (AI) that attempts to simulate a “humanlike" tutoring capabilities.  Such tutoring system can be effective because it can answer to the specific needs of student,which will be guide for to slow learners, to  challenge rapid learners and to monitor the progress of each student as well as establishing a training plan very well. IT has the ability to understand, learn, and solve pr

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Amastini, Fitria. "Intelligent Tutoring System." Jurnal ULTIMA InfoSys 5, no. 1 (2014): 1–7. http://dx.doi.org/10.31937/si.v5i1.212.

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Intelligent Tutoring System is a tutor behaviour system which can be used as an alternative goal for interactive e-learning and distant learning. This system can provide an adaptive system to support student’s learning and retention process based on their characteristic and needed. There are development method such as bayesian network, and neural network that can build fundamental component of Intelligent Tutoring System. This paper will give some concepts and examples for implementing those method from other papers. Index Terms—intelligent tutoring system, artificial intelligent, neural

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Tafazoli, Dara, Elena Gómez María, and Cristina A. Huertas Abril. "Intelligent Language Tutoring System." International Journal of Information and Communication Technology Education 15, no. 3 (2019): 60–74. http://dx.doi.org/10.4018/ijicte.2019070105.

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Intelligent computer-assisted language learning (ICALL) is a multidisciplinary area of research that combines natural language processing (NLP), intelligent tutoring system (ITS), second language acquisition (SLA), and foreign language teaching and learning (FLTL). Intelligent tutoring systems (ITS) are able to provide a personalized approach to learning by assuming the role of a real teacher/expert who adapts and steers the learning process according to the specific needs of each learner. This article reviews and discusses the issues surrounding the development and use of ITSs for language le

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Angelides, Marios C., and Amelia K. Y. Tong. "Implementing Multiple Tutoring Strategies in an Intelligent Tutoring System for Music Learning." Journal of Information Technology 10, no. 1 (1995): 52–62. http://dx.doi.org/10.1177/026839629501000107.

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Variation in tutoring strategies plays an important part in intelligent tutoring systems. The potential for providing an adaptive intelligent tutoring system depends on having a range of tutoring strategies to select from. In order to react effectively to the student's needs, an intelligent tutoring system has to be able to choose intelligently among the strategies and determine which strategy is best for an individual student at a particular moment. This paper describes, through the discussion pertaining to the implementation of SONATA, a music theory tutoring system, how an intelligent tutor

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Ksemidov, B. S., and K. K. Abgaryan. "Adaptive Intelligent Tutoring System." Моделирование и анализ данных 14, no. 2 (2024): 152–65. http://dx.doi.org/10.17759/mda.2024140211.

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<p>The goal of the work is to create a modern adaptive intelligent system using current machine learning technologies to automate a significant part of the teacher&rsquo;s work. Existing intelligent systems, the purpose of which is to train students to work in various subject areas, currently have a set of various disadvantages, for example, the need to prepare educational material in a given format, which is sometimes a very labor-intensive task. In addition, in such systems there is a need to assess knowledge to correct the training plan for students, which requires various practic

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Isaiah Achi, Ifeanyi, and Chukwuemeka Odi Agwu. "Multi-Subject Area Based Intelligent Tutoring System." International Journal of Scientific Engineering and Research 3, no. 4 (2015): 60–62. https://doi.org/10.70729/14041501.

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Bradáč, Vladimír, and Kateřina Kostolányová. "Intelligent Tutoring Systems." Journal of Intelligent Systems 26, no. 4 (2017): 717–27. http://dx.doi.org/10.1515/jisys-2015-0144.

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AbstractThe importance of intelligent tutoring systems has rapidly increased in past decades. There has been an exponential growth in the number of ends users that can be addressed as well as in technological development of the environments, which makes it more sophisticated and easily implementable. In the introduction, the paper offers a brief overview of intelligent tutoring systems. It then focuses on two types that have been designed for education of students in the tertiary sector. The systems use elements of adaptivity in order to accommodate as many users as possible. They serve both a

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Lee, C. H., J. E. Biegel, and C. M. Dixon. "Student Performance Evaluation for a Simulation Based Intelligent Expert Tutoring System." Proceedings of the Human Factors Society Annual Meeting 32, no. 18 (1988): 1212–16. http://dx.doi.org/10.1177/154193128803201805.

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Intelligent tutoring systems offer an exciting new way to train people in areas of complex domains. A simulation-based training system provides the student with the opportunity to manipulate a system without the consequences of real life mistakes. The intelligence required in the tutoring system is focused on the tutor's ability to teach the student efficient, strategic responses. This tutoring demands that the tutor is aware of the student's current ability, specific fault areas, and preferred method of tutoring. Instructional decisions are made by assessing the student's performance. The uti

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Syahrizal, Syahrizal, Fifi Yasmi, and Thomson Mary. "Discourse on Artificial Intelligence Design Using ITS and SDLC Methods in Building Islamic Religious Education Learning Applications." Journal of Pragmatics and Discourse Research 3, no. 1 (2023): 46–28. http://dx.doi.org/10.51817/jpdr.v3i1.330.

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The development of increasingly sophisticated programming language technology where designed algorithms are able to think intelligently have been used for various purposes that are good for humans. This technology can also be applied to Islamic religious learning by using an intelligent tutoring system combined with artificial intelligence to: find sources of books, source modules, hadiths, verses of the Koran and their translations that are really related to learning with correct and solid data and compare Islamic teaching methods. The application program was built using two methods, namely t

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Servan-Schreiber, David, and Yitzchak M. Binik. "Extending the intelligent tutoring system paradigm: Sex therapy as intelligent tutoring." Computers in Human Behavior 5, no. 4 (1989): 241–59. http://dx.doi.org/10.1016/0747-5632(89)90003-4.

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Dissertations / Theses on the topic "Intelligent tutoring system"

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Brown, Quincy Lee Frank Salvucci Dario. "Mobile intelligent tutoring system : moving intelligent tutoring systems off the desktop /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3114.

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Razzaq, Leena M. "Tutorial dialog in an equation solving intelligent tutoring system." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0107104-155853.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: cognitive model; model-tracing; intelligent tutoring system; tutoring; artificial intelligence. Includes bibliographical references (p. 55-57).

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Weragama, Dinesha Samanthi. "Intelligent tutoring system for learning PHP." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/63202/1/Dinesha%20Samanthi_Weragama_Thesis.pdf.

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This thesis investigates the possibility of using an adaptive tutoring system for beginning programming students. The work involved, designing, developing and evaluating such a system and showing that it was effective in increasing the students’ test scores. In doing so, Artificial Intelligence techniques were used to analyse PHP programs written by students and to provide feedback based on any specific errors made by them. Methods were also included to provide students with the next best exercise to suit their particular level of knowledge.

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Jaques, Natasha. "Predicting affect in an Intelligent Tutoring System." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50291.

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In this thesis we investigate the usefulness of various data sources for predicting emotions relevant to learning, specifically boredom and curiosity. The data was collected during a study with MetaTutor, an intelligent tutoring system (ITS) designed to promote the use of self-regulated learning strategies. We used a variety of machine learning and feature selection techniques to predict students‘ self-reported emotions from eye tracking data, distance from the screen, electrodermal activity, and an ensemble of all three sources. We also examine the optimal amount of interaction time needed to

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Neubauer, Paul Richard. "An intelligent tutoring system for phonetic transcription." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/845952.

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This thesis presents an intelligent system for tutoring phonetic transcription in introductory linguistics courses. It compares and contrasts this system with previous intelligent tutoring systems and presents an implementation of the present system. The problems and solutions encountered in implementing the system are described.Among the contributions and innovations are the fact that this system guides the student through several attempts at transcribing a word with increasingly specific feedback, and the fact that the system is organized in such a way that an instructor can add, modify or d

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Scurlock, Robert E. "Design of an Intelligent Tutoring System shell." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26459.

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Kung, Chun Pang. "Intelligent algorithms for an algebra tutoring system." Thesis, Liverpool John Moores University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402846.

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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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Kollu, Kavya. "PROTOTYPE OF AN INTELLIGENT TUTORING SYSTEM USING THE JAVA EXPERT SYSTEM SHELL." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/118314.

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Electrical Engineering<br>M.S.E.<br>In a technology driven world, efforts are being made to make education/learning available to individuals at any time with no compromise in the quality of teaching/training. To make learning flexible, different techniques such as distributing learning material, uploading audio lectures on the web, and creating intelligent tutoring systems (ITS) are being used. The technique considered here is an adaptive ITS, a system that replicates the learning that occurs in a student teacher relationship. This thesis develops an adaptive intelligent tutoring system archit

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Al-Aqbi, Ali Talib Qasim. "Intelligent Tutoring System Effects on the Learning Process." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1502139817641618.

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Books on the topic "Intelligent tutoring system"

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Clibbon, Kelvin. Intelligent tutoring system architectures. De Montfort University, Computing & Mathematical Sciences Research, 1992.

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Scurlock, Robert E. Design of an Intelligent Tutoring System shell. Naval Postgraduate School, 1991.

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Canavan, Bernadette. An intelligent tutoring system for database design. The Author], 1996.

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J, Wiederholt Bradley, Johnson William B, and United States. National Aeronautics and Space Administration., eds. Microcomputer intelligence for technical training (MITT): The evolution of an intelligent tutoring system : final report. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1990.

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Mottram-Brown, Denise. An intelligent tutoring system for teaching fact finding. De Montfort University, 1992.

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Lane, Patrick. Tutoring Mendelian genetics: The simulation of genetic inheritance in an intelligent tutoring system. TheAuthor], 1996.

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United States. National Aeronautics and Space Administration., ed. The effects of instructional sets on reactions to and performance on an intelligent tutoring system: Technical report. National Aeronautics and Space Administration, 1993.

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United States. National Aeronautics and Space Administration., ed. The effects of instructional sets on reactions to and performance on an intelligent tutoring system: Technical report. National Aeronautics and Space Administration, 1993.

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Tandy, Herren L., Regian J. Wesley, and United States. National Aeronautics and Space Administration., eds. An intelligent tutoring system for the investigation of high performance skill acquisition of high performance skill acquisition. Research Institute for Computing and Information Systems, University of Houston - Clear Lake, 1991.

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McGinn, Elizabeth Marie. A hypermedia approach to the design of an intelligent tutoring system. Naval Postgraduate School, 1991.

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Book chapters on the topic "Intelligent tutoring system"

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Leclet-Groux, Dominique, and Ismail Hassan Djilal. "Authoring System to Design Pedagogical Devices: The SAPRISTI System." In Intelligent Tutoring Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07221-0_87.

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Tseytlin, Eugene, Melissa Castine, and Rebecca Crowley. "DomainBuilder – An Authoring System for Visual Classification Tutoring Systems." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13437-1_99.

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Gonzalez-Sanchez, Javier, Maria Elena Chavez-Echeagaray, Kurt VanLehn, et al. "A System Architecture for Affective Meta Intelligent Tutoring Systems." In Intelligent Tutoring Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07221-0_67.

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Razzaq, Leena M., and Neil T. Heffernan. "Tutorial Dialog in an Equation Solving Intelligent Tutoring System." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30139-4_97.

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Yibin, Mao, and Lin Jianxiang. "Intelligent tutoring system for symbolic calculation." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55606-0_18.

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Rosatelli, Marta C., John A. Self, and Marcello Thiry. "LeCS: A Collaborative Case Study System." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45108-0_28.

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Brooks, Christopher, Mike Winter, Jim Greer, and Gordon McCalla. "The Massive User Modelling System (MUMS)." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30139-4_60.

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Chan, Tak Wai, I. Ling Chung, Rong Guey Ho, Wen Juan Hou, and Ging Long Lin. "Distributed learning companion system: WEST revisited." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55606-0_74.

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Bel Hadj Ammar, Wafa, Mariem Chaabouni, and Henda Ben Ghezala. "Recommender System for Quality Educational Resources." In Intelligent Tutoring Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49663-0_39.

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Paquette, Gilbert, and Jean Girard. "AGD: A course engineering support system." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61327-7_136.

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Conference papers on the topic "Intelligent tutoring system"

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Gowri, R. "OMACS Based Adaptive Intelligent Tutoring System Development." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011745.

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Srivastava, R. P., and S. L. Sin. "An intelligent tutoring system." In Ninth Annual International Phoenix Conference on Computers and Communications. 1990 Conference Proceedings. IEEE, 1990. http://dx.doi.org/10.1109/pccc.1990.101690.

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Mohanan, Ramya, Catherine Stringfellow, and Dittika Gupta. "An emotionally intelligent tutoring system." In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252228.

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"INTELLIGENT TUTORING SYSTEM: AN ASSESSMENT STRATEGY FOR TUTORING ON-LINE." In 8th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0002457001570160.

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Nouh, Yaser, P. Karthikeyani, and R. Nadarajan. "Intelligent Tutoring System-Bayesian Student Model." In 2006 1st International Conference on Digital Information Management. IEEE, 2007. http://dx.doi.org/10.1109/icdim.2007.369362.

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Mendjoge, Neha, Abhijit R. Joshi, and Meera Narvekar. "Intelligent tutoring system for Database Normalization." In 2016 International Conference on Computing Communication Control and automation (ICCUBEA). IEEE, 2016. http://dx.doi.org/10.1109/iccubea.2016.7860013.

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Yan, Jie, and Ruth Agada. "Intelligent Agent Embodied Online Tutoring System." In 2018 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2018. http://dx.doi.org/10.1109/csci46756.2018.00123.

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Masood, Mona, and Nur Azlina Mohamed Mokmin. "Case-based Reasoning Intelligent Tutoring System." In the 2017 International Conference. ACM Press, 2017. http://dx.doi.org/10.1145/3152723.3152735.

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"ForMath - Intelligent Tutoring System in Mathematics." In 4th International Conference on Computer Supported Education. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003899901180122.

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Sun, Yu, and Zhiping Li. "A multi-agent intelligent tutoring system." In 2009 4th International Conference on Computer Science & Education (ICCSE 2009). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228267.

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Reports on the topic "Intelligent tutoring system"

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Ong, James, and Sowmya Ramachandran. An Intelligent Tutoring System Approach to Adaptive Instructional Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437533.

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Domeshek, Eric A. Intelligent Tutoring System for Teaching Battlefield Command Reasoning Skills. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada400494.

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Stottler, Richard H., Randy Jensen, Bill Pike, and Rick Bingham. Adding an Intelligent Tutoring System to an Existing Training Simulation. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada454493.

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Dillon, Ronna F., and William F. Kieckhaefer. Information Processing and Coaching Treatments in an Intelligent Tutoring System,. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada362134.

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Gitomer, Drew H., Linda S. Steinberg, and Robert J. Mislevy. Diagnostic Assessment of Troubleshooting Skill in an Intelligent Tutoring System. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada280554.

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Stottler, Richard H., and Bill Pike. An Embedded Training Solution: FBCB2/Tactical Decision Making Intelligent Tutoring System. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada438493.

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Mislevy, Robert J., and Drew H. Gitomer. The Role of Probability-Based Inference in an Intelligent Tutoring System. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada303316.

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Mislevy, Robert J., and Drew H. Gitomer. The Role of Probability-Based Inference in an Intelligent Tutoring System. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada303584.

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Ryder, Joan M., Arthur C. Graesser, Jean-Christophe Le Mentec, Max M. Louwerse, and Ashish Karnavat. A Dialog-Based Intelligent Tutoring System for Practicing Battle Command Reasoning. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425430.

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Miller, Mark L. A Prototype Intelligent Maintenance Tutoring System for Troubleshooting the M16A1 Automatic Rifle. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210702.

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