Relevant bibliographies by topics / Intelligent tutoring systems Computer-assisted instruction

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Intelligent tutoring systems Computer-assisted instruction'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Intelligent tutoring systems Computer-assisted instruction"

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du Boulay, Benedict. "Computer-assisted instruction and intelligent tutoring systems." Computers & Education 20, no. 2 (1993): 213–14. http://dx.doi.org/10.1016/0360-1315(93)90093-x.

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Duchastel, Philippe, and Jacques Imbeau. "Intelligent Computer-assisted Instruction (ICAI): Flexible Learning through Better Student-Computer Interaction." Journal of Information Technology 3, no. 2 (1988): 102–5. http://dx.doi.org/10.1177/026839628800300206.

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Intelligent computer-assisted instruction (ICAI) uses artificial intelligence techniques to imitate in computer form the power of human tutorial processes. Its major technical features are the use of a modularized knowledge base instead of CAI's textual scripts, and the ability to interpret the student's statements and questions expressed in natural English. These features make ICAI systems extremely flexible and allow the student much greater learner control of the interaction than is traditionally possible in CAI. Other major elements of an ICAI system are an extensive model of the student a
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Law, Rob. "Computer-Assisted Instruction in Hospitality Education: An Intelligent Tutoring Systems Approach." Journal of Hospitality & Tourism Education 11, no. 1 (1999): 50–56. http://dx.doi.org/10.1080/10963758.1999.10685223.

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Inoue, Yukiko. "Methodological Issues in the Evaluation of Intelligent Tutoring Systems." Journal of Educational Technology Systems 29, no. 3 (2001): 251–58. http://dx.doi.org/10.2190/b5vf-qk3f-pccd-64lb.

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Drill and practice, simulation, and tutorial are the main formats of computer-assisted instruction, yet tutorial format is particularly suitable to conceptual school subjects. When a knowledge module is added to the tutorial format, it is termed an intelligent tutoring system (ITS). Although ITS evaluation studies greatly influence interest in and support for the future ITS work, valid evaluation methodologies are lacking because ITS is fairly new. Consequently, this article examined the ITS evaluation studies, with the focus on the methodological issue. The critical component in ITS is the kn
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Duchastel, Philippe. "Intelligent Computer Assisted Instruction Systems: The Nature of Learner Control." Journal of Educational Computing Research 2, no. 3 (1986): 379–93. http://dx.doi.org/10.2190/d4jw-nr13-adta-mr8a.

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Learner control, which is contrary in spirit to the design philosophy underlying traditional CAI systems, is an important feature of most intelligent computer assisted instruction (ICAI) systems, as revealed through the learning dialogues they support. Such learner control is made possible by the natural language interface and the type of knowledge base incorporated in these systems. Such systems, it is argued, because they enable unplanned interactions with the learner and capitalize on student curiosity and motivation, can attain a much finer grain of individualization than traditional CAI s
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Lamia, Mahnane, and Hafidi Mohamed. "A Problem Solving Using Intelligent Social Network." International Journal of Web-Based Learning and Teaching Technologies 14, no. 3 (2019): 28–38. http://dx.doi.org/10.4018/ijwltt.2019070103.

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Nowadays, students are becoming familiar with the computer technology at a very early age. Moreover, the wide availability of the internet gives a new perspective to distance education making e-learning environments crucial to the future of education. Intelligent tutoring systems (ITSs) provide sophisticated tutoring systems using artificial intelligence techniques in computer programs to facilitate instruction. ITSs support problem solving by providing adaptive scaffolding in terms of feedback, guidance, problem selection and other types of help. Little attention has been devoted thus far to
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Ray, Jessica M., and John S. Barnett. "An Evolution of Tutoring and Training from Humans to Intelligent Systems: Human Factors Considerations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 26 (2009): 1898–902. http://dx.doi.org/10.1177/154193120905302603.

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As training researchers and developers, we strive to understand and produce effective and efficient training. Research suggests the most effective form of instruction is individualized human tutoring. Yet this is rarely the most efficient form of instruction monetarily or in instructor time. Technological advances and a vision of effective, yet more efficient, computer based tutors has led to the development of sophisticated new training technologies such as Intelligent Tutoring Systems (ITSs). These systems have yet to reach their full forecast potential. In this paper we theorize that issues
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Hooshyar, Danial, Rodina Binti Ahmad, Minhong Wang, Moslem Yousefi, Moein Fathi, and Heuiseok Lim. "Development and Evaluation of a Game-Based Bayesian Intelligent Tutoring System for Teaching Programming." Journal of Educational Computing Research 56, no. 6 (2017): 775–801. http://dx.doi.org/10.1177/0735633117731872.

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Games with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to advance Online Game-based Bayesian Intelligent Tutoring System (OGITS) to enhance programming acquisition and online information searching skills, thus improving students’ ability in web-based problem solving through board games. The study sample comprised
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Alqahtani, Fehaid, and Naeem Ramzan. "Comparison and Efficacy of Synergistic Intelligent Tutoring Systems with Human Physiological Response." Sensors 19, no. 3 (2019): 460. http://dx.doi.org/10.3390/s19030460.

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The analysis of physiological signals is ubiquitous in health and medical diagnosis as a primary tool for investigation and inquiry. Physiological signals are now being widely used for psychological and social fields. They have found promising application in the field of computer-based learning and tutoring. Intelligent Tutoring Systems (ITS) is a fast-paced growing field which deals with the design and implementation of customized computer-based instruction and feedback methods without human intervention. This paper introduces the key concepts and motivations behind the use of physiological s
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PEK, PENG-KIAT, and KIM-LENG POH. "MAKING DECISIONS IN AN INTELLIGENT TUTORING SYSTEM." International Journal of Information Technology & Decision Making 04, no. 02 (2005): 207–33. http://dx.doi.org/10.1142/s0219622005001489.

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In computerized tutoring, the pace of instruction is related to the student's mastery levels of the learning objectives. The observable student's behavior that can be used to measure his knowledge is usually his responses to test items. Unobservable variables that are related to learner's motivation can affect learning but are difficult to quantify. In comparison with other decision-theoretic tutoring systems, the novelties of this research are: (1) the efficiency-centric approach to develop the Bayesian networks; (2) the formulation of utility values for different tutoring outcomes that are i
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Dissertations / Theses on the topic "Intelligent tutoring systems Computer-assisted instruction"

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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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Buckenmeyer, Michelle. "User characteristics in intelligent tutoring systems /." Online version of thesis, 1992. http://hdl.handle.net/1850/10998.

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Srisethanil, Chaisak. "Pedagogical framework for an engineering intelligent tutoring system." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/20240.

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Okpo, Juliet Airenvbiegbe. "Adaptive exercise selection for an intelligent tutoring system." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=238127.

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Adapting to learner characteristics is essential when selecting exercises for learners in an intelligent tutoring system. This thesis investigates how humans adapt next exercise selection (in particular difficulty level) to learner personality (self-esteem), invested mental effort, and performance to inspire an adaptive exercise selection algorithm. First, we describe the investigations to produce validated materials for the main studies, namely the creation and validation of self-esteem personality stories, mental effort statements, and mathematical exercises with varying levels of difficulty
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Farrow, Sherry Lynn. "An implicit engineering student model for an intelligent tutoring system." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/21444.

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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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Vasandani, Vijay. "Intelligent tutoring for diagnostic problem solving in complex dynamic systems." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24934.

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Csizmadia, Vilmos. "Constructing an authoring tool for intelligent tutoring systems with hierarchical domain models." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-1222103-161814.

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Zhang, Jie, and 張婕. "An intelligent tutor: Smart Tutor." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31227065.

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Staffan, Kenneth E. "An intelligent tutoring system for the German language /." Online version of thesis, 1993. http://hdl.handle.net/1850/11732.

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Books on the topic "Intelligent tutoring systems Computer-assisted instruction"

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Nkambou, Roger, Jacqueline Bourdeau, and Riichiro Mizoguchi. Advances in intelligent tutoring systems. Springer, 2010.

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Costa, Ernesto. New Directions for Intelligent Tutoring Systems: Proceedings of the NATO Advanced Research Workshop on New Directions for Intelligent Tutoring Systems, held in Sintra, Portugal, 6-10 October, 1990. Springer Berlin Heidelberg, 1992.

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Automatic program debugging for intelligent tutoring systems. Pitman, 1988.

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Regian, J. Wesley. INFLITE: An intelligent instrument flight trainer with computer-generated speech. Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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Intelligent and adaptive learning systems: Technology enhanced support for learners and teachers. Information Science Reference, 2012.

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Swartz, Merryanna L. Intelligent Tutoring Systems for Foreign Language Learning: The Bridge to International Communication. Springer Berlin Heidelberg, 1992.

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Murray, William R. An endorsement-based approach to student modeling for planner-controlled intelligent tutoring systems. Armstrong Laboratory, Air Force Systems Command, 1991.

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Kunz, Gunnar C. Intelligente tutorielle Systeme: Neue Ansätze der computerunterstützten Steuerung von Lehr-Lern-Prozessen. Verlag für Psychologie C.J. Hogrefe, 1987.

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International, Conference on Intelligent Tutoring Systems (4th 1998 San Antonio Texas). Intelligent tutoring systems: 4th International Conference, ITS'98, San Antonio, Texas, USA, August 1998, proceedings. Springer, 1998.

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International Conference, ITS (3rd 1996 Montréal, Québec). Intelligent tutoring systems: Third International Conference, ITS '96 Montréal, Canada, June 12-14 1996, proceedings. Springer, 1996.

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Book chapters on the topic "Intelligent tutoring systems Computer-assisted instruction"

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Gagné, Denis, and André Trudel. "A highly flexible student driven architecture for computer based instruction." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61327-7_102.

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Lehmann, Lorrie, Dale-Marie Wilson, and Tiffany Barnes. "Using Individualized Feedback and Guided Instruction via a Virtual Human Agent in an Introductory Computer Programming Course." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30950-2_87.

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Clancey, William J. "Situated cognition and intelligent tutoring systems." In Computer Assisted Learning. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51142-3_49.

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Lianjing, Huang. "A tool for developing intelligent tutoring systems." In Computer Assisted Learning. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55578-1_85.

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Kim, Jung Hee, and Michael Glass. "Evaluating Dialogue Schemata with the Wizard of Oz Computer-Assisted Algebra Tutor." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30139-4_34.

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Orhun, Emrah. "Expert Systems and Intelligent Computer-Assisted-Instruction." In Expert Judgment and Expert Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-86679-1_13.

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Barreto, Laura, Paul Taele, and Tracy Hammond. "A Stylus-Driven Intelligent Tutoring System for Music Education Instruction." In Human–Computer Interaction Series. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31193-7_10.

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Zhang, Fulin, and Mingqing You. "Constructivism Computer-Assisted Instruction Model for College English Study." In Computing and Intelligent Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24010-2_27.

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Chanier, Thierry, Michael Pengelly, Michael Twidale, and John Self. "Conceptual Modelling in Error Analysis in Computer-Assisted Language Learning Systems." In Intelligent Tutoring Systems for Foreign Language Learning. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77202-3_9.

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Nkambou, Roger, Gilles Gauthier, and Claude Frasson. "CREAM-Tools: An authoring environment for curriculum and course building in an intelligent tutoring system." In Computer Aided Learning and Instruction in Science and Engineering. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0022606.

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Conference papers on the topic "Intelligent tutoring systems Computer-assisted instruction"

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Shih, Shu Chuan, Hao Yu Tsai, and Mei Ling Chen. "THE EFFECT OF A ONE-ON-ONE DIALOGUE-BASED MATHEMATICAL INTELLIGENT TUTORING SYSTEM FOR LEARNING EQUIVALENT FRACTION." In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end077.

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The purposes of this study are to develop a one-on-one dialogue-based mathematical intelligent tutoring system (ITS) for learning equivalent fraction in the 4th grade math, and evaluate its learning effect. The system used the course content and dialogue script designed by the math teaching experts in advance, and a computer agent teacher asked questions based on the course script. After the student answered, the system was able to identify the error pattern and misconception according to the student's response, then provided each student with adaptive teaching guidance or feedback. Students c
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