Browsing by Subject "Intelligent tutoring systems"
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Item Open Access Alternate strategies for tutorial modules in intelligent tutoring systems(ASME, 1992) Cankat, E.; Güvenir, Altay H.Intelligent Tutoring Systems (ITS) have now reached a structure in which the major components of an instructional system are separated in a way that provides both the system and the student with a flexibility within the learning environment. This atmosphere is an interactive, realistic scene similar to actual face-to-face teacher and student instructional environment. A major problem in determining the tutorial strategy of an ITS is how to balance the executive control of the system. In other words to what extend will the teacher be allowed to control the session and where is the point the computer will not allow any external interference. The dividing line is hard to draw and very sensitive to changes in the instructional strategy. Another aspect is that even the student would like to take over the control of execution mostly by asking questions. Now we have three main elements of the system: computer, teacher and student. Who should possess what level of executive control? This is the question we would like to discuss from different points of view in the domain of teaching science courses at secondary school level.Item Open Access eTutor: online learning for personalized education(IEEE, 2015-04) Tekin, Cem; Braun, J.; Schaar, Mihaela van derGiven recent advances in information technology and artificial intelligence, web-based education systems have became complementary and, in some cases, viable alternatives to traditional classroom teaching. The popularity of these systems stems from their ability to make education available to a large demographics (see MOOCs). However, existing systems do not take advantage of the personalization which becomes possible when web-based education is offered: they continue to be one-size-fits-all. In this paper, we aim to provide a first systematic method for designing a personalized web-based education system. Personalizing education is challenging: (i) students need to be provided personalized teaching and training depending on their contexts (e.g. classes already taken, methods of learning preferred, etc.), (ii) for each specific context, the best teaching and training method (e.g type and order of teaching materials to be shown) must be learned, (iii) teaching and training should be adapted online, based on the scores/feedback (e.g. tests, quizzes, final exam, likes/dislikes etc.) of the students. Our personalized online system, e-Tutor, is able to address these challenges by learning how to adapt the teaching methodology (in this case what sequence of teaching material to present to a student) to maximize her performance in the final exam, while minimizing the time spent by the students to learn the course (and possibly dropouts). We illustrate the efficiency of the proposed method on a real-world eTutor platform which is used for remedial training for a Digital Signal Processing (DSP) course. © 2015 IEEE.Item Open Access An object oriented intelligent tutoring system for teaching set theory(1991) Cankat, EmelIn this thesis an Intelligent Tutoring System (ITS) to teach set theory is designed and implemented using an object-oriented approach. The program is implemented on an IBM PS/2 and PC compatibles using the Turbo Pascal 5.5 programming language. The implemented system is an ITS that employs the features of set theory such as hierarchical structure, inheritably deductable operation and relations and set concept being the core of the theory to create a tutor that teaches the concept and monitors the user's state of knowledge. The system uses a distributed control strategy that allows four factors, namely student, teacher, student model and nondeterminism to possess the right to direct a session and its contents. Nondeterminism is used to generate the instructional content by randomly selecting different questions and examples each time the progi'am is invoked. Finally, the system ends the tutorial session by giving a final examination to the user and monitoring any misconceived issues in order to repeat the related sections.