Representation for interactive exercises

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Representation for interactive exercises. / Goguadze, Giorgi.
Intelligent Computer Mathematics - 16th Symposium, Calculemus 2009 - 8th International Conference, MKM 2009 - Held as Part of CICM 2009, Proceedings. ed. / Jaque Carette; L. Dixon; Claudio Sacerdoti Coen; Stephen M. Watt. Springer Verlag, 2009. p. 294–309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5625 LNAI).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Goguadze, G 2009, Representation for interactive exercises. in J Carette, L Dixon, C Sacerdoti Coen & SM Watt (eds), Intelligent Computer Mathematics - 16th Symposium, Calculemus 2009 - 8th International Conference, MKM 2009 - Held as Part of CICM 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5625 LNAI, Springer Verlag, pp. 294–309, 8th International Conferences on Intelligent Computer Mathematics - 2009, Grand Bend, Canada, 06.07.09. https://doi.org/10.1007/978-3-642-02614-0_25

APA

Goguadze, G. (2009). Representation for interactive exercises. In J. Carette, L. Dixon, C. Sacerdoti Coen, & S. M. Watt (Eds.), Intelligent Computer Mathematics - 16th Symposium, Calculemus 2009 - 8th International Conference, MKM 2009 - Held as Part of CICM 2009, Proceedings (pp. 294–309). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5625 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-642-02614-0_25

Vancouver

Goguadze G. Representation for interactive exercises. In Carette J, Dixon L, Sacerdoti Coen C, Watt SM, editors, Intelligent Computer Mathematics - 16th Symposium, Calculemus 2009 - 8th International Conference, MKM 2009 - Held as Part of CICM 2009, Proceedings. Springer Verlag. 2009. p. 294–309. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02614-0_25

Bibtex

@inbook{f6a9ea7dc81e45ff84c51c726d5ce8b1,
title = "Representation for interactive exercises",
abstract = "Interactive exercises play a major role in an adaptive learning environment ActiveMath. They serve two major purposes: training the student and assessing his current mastery, which provides a basis for further adaptivity. We present the current state of the knowledge representation format for interactive exercises in ActiveMath. This format allows for representing multi-step exercises, that contain different interactive elements. The answer of the learner can be evaluated semantically. Various types of feedback and hint hierarchies can be represented. Exercise language possesses a construction for specifying additional components generating (parts of) the exercise. One example of such component is a Randomizer, which allows for authoring parametrized exercises. Another example is so-called Domain Reasoner Generator, that automatically generates exercise steps and refined diagnosis upon the learner's answer. This turns ActiveMath system into an ITS as soon as some Domain Reasoner is connected to it. Finally, several tutorial strategies can be applied to the same exercise. This strategies control feedback and the way the exercise is navigated by the learner, and can adapt to the learner.",
keywords = "Didactics of Mathematics",
author = "Giorgi Goguadze",
year = "2009",
doi = "10.1007/978-3-642-02614-0_25",
language = "English",
isbn = "3-642-02613-3",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "294–309",
editor = "Jaque Carette and L. Dixon and {Sacerdoti Coen}, Claudio and Watt, {Stephen M.}",
booktitle = "Intelligent Computer Mathematics - 16th Symposium, Calculemus 2009 - 8th International Conference, MKM 2009 - Held as Part of CICM 2009, Proceedings",
address = "Germany",
note = "8th International Conferences on Intelligent Computer Mathematics - 2009 : 16th Symposium, Calculemus 2009, 8th International Conference, MKM 2009 ; Conference date: 06-07-2009 Through 12-07-2009",
url = "https://www.springer.com/gp/book/9783642026133",

}

RIS

TY - CHAP

T1 - Representation for interactive exercises

AU - Goguadze, Giorgi

N1 - Conference code: 6

PY - 2009

Y1 - 2009

N2 - Interactive exercises play a major role in an adaptive learning environment ActiveMath. They serve two major purposes: training the student and assessing his current mastery, which provides a basis for further adaptivity. We present the current state of the knowledge representation format for interactive exercises in ActiveMath. This format allows for representing multi-step exercises, that contain different interactive elements. The answer of the learner can be evaluated semantically. Various types of feedback and hint hierarchies can be represented. Exercise language possesses a construction for specifying additional components generating (parts of) the exercise. One example of such component is a Randomizer, which allows for authoring parametrized exercises. Another example is so-called Domain Reasoner Generator, that automatically generates exercise steps and refined diagnosis upon the learner's answer. This turns ActiveMath system into an ITS as soon as some Domain Reasoner is connected to it. Finally, several tutorial strategies can be applied to the same exercise. This strategies control feedback and the way the exercise is navigated by the learner, and can adapt to the learner.

AB - Interactive exercises play a major role in an adaptive learning environment ActiveMath. They serve two major purposes: training the student and assessing his current mastery, which provides a basis for further adaptivity. We present the current state of the knowledge representation format for interactive exercises in ActiveMath. This format allows for representing multi-step exercises, that contain different interactive elements. The answer of the learner can be evaluated semantically. Various types of feedback and hint hierarchies can be represented. Exercise language possesses a construction for specifying additional components generating (parts of) the exercise. One example of such component is a Randomizer, which allows for authoring parametrized exercises. Another example is so-called Domain Reasoner Generator, that automatically generates exercise steps and refined diagnosis upon the learner's answer. This turns ActiveMath system into an ITS as soon as some Domain Reasoner is connected to it. Finally, several tutorial strategies can be applied to the same exercise. This strategies control feedback and the way the exercise is navigated by the learner, and can adapt to the learner.

KW - Didactics of Mathematics

UR - http://www.scopus.com/inward/record.url?scp=69049103191&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-02614-0_25

DO - 10.1007/978-3-642-02614-0_25

M3 - Article in conference proceedings

SN - 3-642-02613-3

SN - 978-3-642-02613-3

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 294

EP - 309

BT - Intelligent Computer Mathematics - 16th Symposium, Calculemus 2009 - 8th International Conference, MKM 2009 - Held as Part of CICM 2009, Proceedings

A2 - Carette, Jaque

A2 - Dixon, L.

A2 - Sacerdoti Coen, Claudio

A2 - Watt, Stephen M.

PB - Springer Verlag

T2 - 8th International Conferences on Intelligent Computer Mathematics - 2009

Y2 - 6 July 2009 through 12 July 2009

ER -

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