Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining

Giora Alexandron; Gal Keinan; Ben Levy; Sara Hershkovitz

Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining

Giora Alexandron, Gal Keinan, Ben Levy, Sara Hershkovitz

Department of Science Teaching

Weizmann Institute of Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We study the effectiveness of animated cartoons in an Intelligent Tutoring System (ITS) that teaches Fractions for 4th grade. By examining viewing patterns, and the relation between viewing and performance on related tasks, we seek to better understand how young students learn mathematical concepts with Cartoons. The analysis serves two purposes. One is optimizing the pedagogy of the specific ITS. Second is deriving general pedagogic principles that will guide the design of future ITSs. This study is part of a larger effort aimed at improving our understanding of how to make better digital learning environments using educational data mining. The study uses data from 650 4th grade students, who used the ITS for 4-8 weeks. The analysis is based on combining high-resolution clickstream data with meta-data that describes the content and its structure. To measure the relation between viewing and performance, we used a between-group quasi-experiment design and regression analysis.

Original language	English
Title of host publication	Proceedings of EdMedia + Innovate Learning 2018
Editors	Theo Bastiaens, Johan Van Braak, Mark Brown, Lorenzo Cantoni, Manuel Castro, Rhonda Christensen, Gayle V. Davidson-Shivers, Koen DePryck, Martin Ebner, Mikhail Fominykh, Catherine Fulford, Stylianos Hatzipanagos, Gerald Knezek, Karel Kreijns, Gary Marks, Erkko Sointu, Elsebeth Korsgaard Sorensen, Jarmo Viteli, Joke Voogt, Peter Weber, Edgar Weippl, Olaf Zawacki-Richter
Place of Publication	Amsterdam, Netherlands
Pages	719-730
Number of pages	12
State	Published - Jun 2018
Event	EdMedia + Innovate Learning - Amsterdam, Netherlands Duration: 25 Jun 2018 → …

Conference

Conference	EdMedia + Innovate Learning
Country/Territory	Netherlands
City	Amsterdam
Period	25/06/18 → …

Access to Document

https://www.learntechlib.org/p/184268

Cite this

Alexandron, G., Keinan, G., Levy, B., & Hershkovitz, S. (2018). Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining. In T. Bastiaens, J. V. Braak, M. Brown, L. Cantoni, M. Castro, R. Christensen, G. V. Davidson-Shivers, K. DePryck, M. Ebner, M. Fominykh, C. Fulford, S. Hatzipanagos, G. Knezek, K. Kreijns, G. Marks, E. Sointu, E. K. Sorensen, J. Viteli, J. Voogt, P. Weber, E. Weippl, ... O. Zawacki-Richter (Eds.), Proceedings of EdMedia + Innovate Learning 2018 (pp. 719-730). https://www.learntechlib.org/p/184268

Alexandron, Giora ; Keinan, Gal ; Levy, Ben et al. / Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining. Proceedings of EdMedia + Innovate Learning 2018. editor / Theo Bastiaens ; Johan Van Braak ; Mark Brown ; Lorenzo Cantoni ; Manuel Castro ; Rhonda Christensen ; Gayle V. Davidson-Shivers ; Koen DePryck ; Martin Ebner ; Mikhail Fominykh ; Catherine Fulford ; Stylianos Hatzipanagos ; Gerald Knezek ; Karel Kreijns ; Gary Marks ; Erkko Sointu ; Elsebeth Korsgaard Sorensen ; Jarmo Viteli ; Joke Voogt ; Peter Weber ; Edgar Weippl ; Olaf Zawacki-Richter. Amsterdam, Netherlands, 2018. pp. 719-730

@inproceedings{4268247deaff4953a0166b16ecea1ed3,

title = "Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining",

abstract = "We study the effectiveness of animated cartoons in an Intelligent Tutoring System (ITS) that teaches Fractions for 4th grade. By examining viewing patterns, and the relation between viewing and performance on related tasks, we seek to better understand how young students learn mathematical concepts with Cartoons. The analysis serves two purposes. One is optimizing the pedagogy of the specific ITS. Second is deriving general pedagogic principles that will guide the design of future ITSs. This study is part of a larger effort aimed at improving our understanding of how to make better digital learning environments using educational data mining. The study uses data from 650 4th grade students, who used the ITS for 4-8 weeks. The analysis is based on combining high-resolution clickstream data with meta-data that describes the content and its structure. To measure the relation between viewing and performance, we used a between-group quasi-experiment design and regression analysis.",

author = "Giora Alexandron and Gal Keinan and Ben Levy and Sara Hershkovitz",

note = "NA; EdMedia + Innovate Learning ; Conference date: 25-06-2018",

year = "2018",

month = jun,

language = "الإنجليزيّة",

pages = "719--730",

editor = "Theo Bastiaens and Braak, {Johan Van} and Mark Brown and Lorenzo Cantoni and Manuel Castro and Rhonda Christensen and Davidson-Shivers, {Gayle V.} and Koen DePryck and Martin Ebner and Mikhail Fominykh and Catherine Fulford and Stylianos Hatzipanagos and Gerald Knezek and Karel Kreijns and Gary Marks and Erkko Sointu and Sorensen, {Elsebeth Korsgaard} and Jarmo Viteli and Joke Voogt and Peter Weber and Edgar Weippl and Olaf Zawacki-Richter",

booktitle = "Proceedings of EdMedia + Innovate Learning 2018",

}

Alexandron, G, Keinan, G, Levy, B & Hershkovitz, S 2018, Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining. in T Bastiaens, JV Braak, M Brown, L Cantoni, M Castro, R Christensen, GV Davidson-Shivers, K DePryck, M Ebner, M Fominykh, C Fulford, S Hatzipanagos, G Knezek, K Kreijns, G Marks, E Sointu, EK Sorensen, J Viteli, J Voogt, P Weber, E Weippl & O Zawacki-Richter (eds), Proceedings of EdMedia + Innovate Learning 2018. Amsterdam, Netherlands, pp. 719-730, EdMedia + Innovate Learning, Amsterdam, Netherlands, 25/06/18. <https://www.learntechlib.org/p/184268>

Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining. / Alexandron, Giora; Keinan, Gal; Levy, Ben et al.
Proceedings of EdMedia + Innovate Learning 2018. ed. / Theo Bastiaens; Johan Van Braak; Mark Brown; Lorenzo Cantoni; Manuel Castro; Rhonda Christensen; Gayle V. Davidson-Shivers; Koen DePryck; Martin Ebner; Mikhail Fominykh; Catherine Fulford; Stylianos Hatzipanagos; Gerald Knezek; Karel Kreijns; Gary Marks; Erkko Sointu; Elsebeth Korsgaard Sorensen; Jarmo Viteli; Joke Voogt; Peter Weber; Edgar Weippl; Olaf Zawacki-Richter. Amsterdam, Netherlands, 2018. p. 719-730.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining

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AU - Keinan, Gal

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N1 - NA

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AB - We study the effectiveness of animated cartoons in an Intelligent Tutoring System (ITS) that teaches Fractions for 4th grade. By examining viewing patterns, and the relation between viewing and performance on related tasks, we seek to better understand how young students learn mathematical concepts with Cartoons. The analysis serves two purposes. One is optimizing the pedagogy of the specific ITS. Second is deriving general pedagogic principles that will guide the design of future ITSs. This study is part of a larger effort aimed at improving our understanding of how to make better digital learning environments using educational data mining. The study uses data from 650 4th grade students, who used the ITS for 4-8 weeks. The analysis is based on combining high-resolution clickstream data with meta-data that describes the content and its structure. To measure the relation between viewing and performance, we used a between-group quasi-experiment design and regression analysis.

M3 - منشور من مؤتمر

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BT - Proceedings of EdMedia + Innovate Learning 2018

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A2 - Cantoni, Lorenzo

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A2 - DePryck, Koen

A2 - Ebner, Martin

A2 - Fominykh, Mikhail

A2 - Fulford, Catherine

A2 - Hatzipanagos, Stylianos

A2 - Knezek, Gerald

A2 - Kreijns, Karel

A2 - Marks, Gary

A2 - Sointu, Erkko

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A2 - Viteli, Jarmo

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A2 - Weippl, Edgar

A2 - Zawacki-Richter, Olaf

CY - Amsterdam, Netherlands

T2 - EdMedia + Innovate Learning

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ER -

Alexandron G, Keinan G, Levy B, Hershkovitz S. Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining. In Bastiaens T, Braak JV, Brown M, Cantoni L, Castro M, Christensen R, Davidson-Shivers GV, DePryck K, Ebner M, Fominykh M, Fulford C, Hatzipanagos S, Knezek G, Kreijns K, Marks G, Sointu E, Sorensen EK, Viteli J, Voogt J, Weber P, Weippl E, Zawacki-Richter O, editors, Proceedings of EdMedia + Innovate Learning 2018. Amsterdam, Netherlands. 2018. p. 719-730

Evaluating the Effectiveness of Animated Cartoons in an Intelligent Math Tutoring System Using Educational Data Mining

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