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BRUSILOVSKY P. (1999). Adaptive and Intelligent Technologies for Web-based Education.

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Setting up a Framework for Comparing - Adaptive Educational Hypermedia (2002)   (Correct)

....framework and discuss its applicability on some adaptive educational hypermedia systems. The proposed framework will allow us to study and compare different adaptation techniques. 1 Introduction In this paper we present a framework for comparing adaptive educational hypermedia systems (AEHS) [8]. In the literature there already exist some frameworks for describing hypertext systems or adaptive hypertext systems like the Dexter Hypertext Reference Model [11] and Adaptive Hypermedia Application Model (AHAM) 4] The Dexter Reference Model is an attempt to capture both formally and ....

Peter Brusilovsky. Adaptive and intelligent technologies for web-based education. KI-Themenheft, 4, 1999.


Setting up a Framework for Comparing Adaptive.. - Baldoni, Baroglio.. (2002)   (Correct)

....and discuss its applicability on some adaptive educational hypermedia systems. The proposed framework will allow us to study and compare different adaptation techniques. I Introduction In this paper we present a framework for comparing adaptive educational hyper media systems (AEHS) [8]. In the literature there already exist some frameworks for describing hypertext systems or adaptive hypertext systems like the Dexter Hypertext Reference Model [11] and Adaptive Hypermedia Application Model (AHAM) 4] The Dexter Reference Model is an attempt to capture both formally and ....

Peter Brusilovsky. Adaptive and intelligent technologies for web-based education. KI-Themenheft, 4, 1999.


Web Passive Voice Tutor: an Intelligent Computer Assisted.. - Virvou, Tsiriga (2001)   (Correct)

....students. ITSs may benefit from Web technology to gain more accessibility, and webbased education may gain intelligence and adaptivity from ITSs. Therefore, the combination of these two technologies may produce very powerful and flexible educational programs. However, as Brusilovsky points out [3], web based ITSs still constitute a rather small steam inside the ITS area. This is even more the case for Intelligent Computer Language Learning (ICALL) systems delivered via the WWW. The existence of still few web based ICALL systems does not undermine the educational impact that such systems ....

P. Brusilovsky, "Adaptive and Intelligent Technologies for Web-based Education", Knstliche Intelligenz, 4, 1999.


INSPIRE: An INtelligent System for Personalized.. - Papanikolaou.. (2002)   (Correct)

....the leamer s knowledge level, learning style and follow his her progress. The adaptive behavior of the system, the functionality of the various modules and the opportunities offered to learners for intervention are presented. 1 Introduction Adaptive Educational Hypermedia Systems (AEHS) 3][2], extend the benefits derived from the instructional use of the Web by incorporating the idea of offering learners personalized support and or instruction in a distance learning setting. The adaptive characteristics of an Educational Hypermedia System usually aim to both usability and learning. ....

Brusilovsky, P.: Adaptive and Intelligent Technologies for Web-based Education. In: Rollinger, C., Peylo, C. (eds.) Kunstliche Intelligenz, Special Issue on Intelligent Systems and Teleteaching (1999)


An Intelligent Educational Metadata Repository - Bassiliades, Kokkoras.. (2002)   (Correct)

....(AIWES) As the term indicates, such approaches have their roots in the fields of Intelligent Tutoring Systems (ITS) and Adaptive Hypermedia Systems (AHS) Actually, most of the current implementations are web enabled adaptations of earlier stand alone systems. The main features of AIWES are [8]: Adaptive Curriculum Sequencing: The material that will be presented to the learner is selected according to his learning request that is initially stated to the system. The sequencing refers to various levels of granularity; from which concept (topic, lesson) should be presented next to which ....

Brusilovsky P., Adaptive and Intelligent Technologies for Web-based Education, in C.Rollinger and C.Peylo (eds.), Kunstliche Intelligenz, Special Issue on Intelligent Systems and Technology, 1999, 4.


INSPIRE: An INtelligent System for Personalized.. - Grigoriadou.. (2001)   (2 citations)  (Correct)

....to the learner s knowledge level, learning style and follow his her progress. The adaptive behavior of the system, the functionality of its various modules and the opportunities offered for learner s intervention are presented. 1. Introduction Adaptive Educational Hypermedia Systems (AEHS) 2][3] extending the benefits derived from the instructional use of the Web, incorporate the idea of offering learners personalised support and or instruction in a distance learning setting. The adaptive characteristics of an Educational Hypermedia System usually aim to both usability and learning. ....

Brusilovsky, P. (1999). Adaptive and Intelligent Technologies for Web-based Education. In: C.Rollinger and C.Peylo (eds.) Kunstliche Intelligenz, Special Issue on Intelligent Systems and Teleteaching


Knowledge Modeling - State of the Art - Devedzic (2001)   (Correct)

.... in developing applications that care about their users in traditional areas of human computer interaction and tutoring systems [55] It also has a significant impact on recent developments in areas like information filtering, e commerce, adaptive presentation techniques, and interface agents [7]. In user modeling, user behavior is the user s observable response to a stimulus from the application that maintains the student model. The user behavior is typically an action (e.g. completing a form on the Web) or, more commonly, the result of that action (e.g. the completed form) For ....

.... Intelligent analysis of the user s actions has to decide whether the actions are correct or not, find out what exactly is wrong or incomplete, and possibly identify which missing or incorrect knowledge may be responsible for the error (the last functionality is referred as knowledge diagnosis) [7]. Intelligent analyzers can provide the user with extensive error feedback and update the user model. A more convenient approach is to use interactive intelligent help support that provides intelligent advice to the user on each step of his her interaction with the application. The level of help ....

P. Brusilovsky, Adaptive and Intelligent Technologies for Web-based Education, Knstliche Intelligenz 4, Special Issue on Intelligent Systems and Teleteaching (1999), 19-25.


Personalized Access to Distributed Learning Repositories - PADLR - Nejdl, al. (2001)   (1 citation)  (Correct)

....We assume that our repositories will provide lots of information on any one topic: different explanations, examples, use cases, etc. therefore in PLeaSe module we will concentrate on selecting and presenting the most appropriate material for each user into personalized learning sequences [10]. In module PALaTe we will explore the issue of creating new hypertext pages out of existing text, particularly in connection with the large text archives testbed [35] The overall problem setting for our adaptation functionalities is the following: We will have access to a large set of learning ....

Peter Brusilovsky. Adaptive and intelligent technologies for web-based education. Special Issue on Intelligent Systems and Teleteaching, (K unstliche Intelligenz),, 4:19-- 25, 1999.


KnowledgeTree: A Distributed Architecture for Adaptive E-Learning - Brusilovsky (2004)   (4 citations)  Self-citation (Brusilovsky)   (Correct)

No context found.

Brusilovsky, P. Adaptive and Intelligent Technologies for Web-based Education. Knstliche Intelligenz, , 4 (1999), 19-25, available online at http://www2.sis.pitt.edu/~peterb/papers/KI-review.html.


KnowledgeTree: - Distributed Architecture For   Self-citation (Brusilovsky)   (Correct)

No context found.

Brusilovsky, P. Adaptive and Intelligent Technologies for Web-based Education. Knstliche Intelligenz, , 4 (1999), 19-25, available online at http://www2.sis.pitt.edu/~peterb/papers/KI-review.html.


A Component-Based Distributed Architecture for Adaptive.. - Brusilovsky (2003)   (1 citation)  Self-citation (Brusilovsky)   (Correct)

No context found.

Brusilovsky, P. Adaptive and Intelligent Technologies for Web-based Education. Knstliche Intelligenz (4), 1999, 19-25. Available at http://www2.sis.pitt.edu/~peterb/papers/KI-review.html.


A Distributed Architecture for Adaptive and Intelligent.. - Brusilovsky (2003)   (1 citation)  Self-citation (Brusilovsky)   (Correct)

No context found.

Brusilovsky, P.: Adaptive and Intelligent Technologies for Web-based Education. Knstliche Intelligenz , 4 (1999) 19-25, available online at http://www2.sis.pitt.edu/~peterb/papers/KI-review.html.


Course Sequencing Techniques for Large-Scale Webbased.. - Brusilovsky, Vassileva (2003)   (3 citations)  Self-citation (Brusilovsky)   (Correct)

....systems are able to sequence several kinds of teaching operations such as presentation, examples, and assessments [8 10] One could say that sequencing is an excellent technology for distance education. Indeed, sequencing is now the most popular technology in research level web based ITS [11]. However, there is a significant difference between the systems used in large scale web based education and research level systems, even if we only consider research systems that were used to teach real classes such as ELM ART [12] and 2L670 [13] In a modern, large scale web based education ....

Brusilovsky, P. (1999) `Adaptive and intelligent technologies for web-based education', Knstliche Intelligenz, Vol. 4 pp.19-25, available online at http://www2.sis.pitt.edu/~peterb/papers/KI-review.html.


Course Sequencing for Static Courses? Applying ITS Techniques.. - Brusilovsky (2000)   (1 citation)  Self-citation (Brusilovsky)   (Correct)

....for distance education. In the situation where students can learn the subject at their own pace, it looks like a great idea to have each student to learn the subject by the most beneficial individualized way. Indeed, sequencing is now the most popular technology in research level Web based ITS [4]. However, there is a significant distance between the systems used in large scale Web based education and research level systems, even if we only consider research systems that were used to teach real classes like ELMART [Brusilovsky, 1996 #732] and 2L670 [De Bra, 1998 #1178] In a modern ....

Brusilovsky, P.: Adaptive and Intelligent Technologies for Web-based Education. Knstliche Intelligenz , 4 (1999) 19-25


Diagnosing The State Of The Student's Knowledge In A Web-Based.. - Mazza (2002)   (Correct)

No context found.

BRUSILOVSKY P. (1999). Adaptive and Intelligent Technologies for Web-based Education.


Adaptivity in Web-Based CALL - Galia Angelova Svetla   (Correct)

No context found.

Brusilovsky, P. Adaptive and Intelligent Technologies for Web-based Education. Rollinger, Peylo (eds.) Kuenstliche Intelligenz, 1999 (4), 19-25.


Unknown - Anint Syst For (2001)   (Correct)

No context found.

Brusilovsky, P.: Adaptive and Intelligent Technologies for Web-based Education. In: Rollinger, C., Peylo, C. (eds.) Kunstliche Intelligenz, Special Issue on Intelligent System and Teleteaching (1999) INtelligentSystem for Personalized Instruction 225


A Web-Based Intelligent Approach To Tutoring - Kassim, Ahmed, Ranganath (2001)   (Correct)

No context found.

Brusilovsky, P, "Adaptive and Intelligent Technologies for Webbased Education", Rollinger, C, and Peylo, C, (eds.) Knstliche Intelligenz, Special Issue on Intelligent Systems and Teleteaching, Vol. 4, 1999, pp 19-25.


Developing Learning by Teaching Environments that.. - Biswas.. (2004)   (Correct)

No context found.

Brusilovsky, P. (1999). Adaptive and Intelligent Technologies for Web-based Education, Special Issue on Intelligent Systems and Teleteaching, C. Rollinger and C. Peylo (eds.), 4: 19-25.

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