Visualization of Student-Item Interaction Matrix

C 2021

Visualization of Student-Item Interaction Matrix

EFFENBERGER, Tomáš a Radek PELÁNEK

Základní údaje

Originální název

Visualization of Student-Item Interaction Matrix

Autoři

EFFENBERGER, Tomáš (203 Česká republika, garant, domácí) a Radek PELÁNEK (203 Česká republika, domácí)

Vydání

Cham, Visualizations and Dashboards for Learning Analytics, od s. 439-456, 18 s. Advances in Analytics for Learning and Teaching, 2021

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/21:00123675

Organizační jednotka

Fakulta informatiky

ISBN

978-3-030-81221-8

DOI

http://dx.doi.org/10.1007/978-3-030-81222-5_20

Klíčová slova anglicky

exploratory data analysis; learning environment; heat map; dotted chart

Štítky

topvydavatel

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 1. 2022 13:25, RNDr. Tomáš Effenberger, Ph.D.

Anotace

V originále

One type of visualization of data from digital learning environments focuses on students’ interaction with the educational content. Students may, for example, answer questions, read texts, or solve problems. We can represent these interactions as a matrix, where rows correspond to students, columns to educational items, and values to some aspect of student activity (e.g., the correctness of answers, response times, the order of actions). Visualizing this matrix is useful for several purposes. For teachers, it can provide an understanding of the skill and behavior of their students. For system developers, it can provide insight into the behavior of both students and adaptive algorithms, and it can also help detect suspicious activity. For researchers, it can provide an understanding of the properties of datasets used in experiments and valuable warnings about biases that are present in data. However, suitable visualization of the student-item interactions is nontrivial. To facilitate the design of the visualization, we provide a systematic discussion of approaches to student-item matrix visualization. Using data from an introductory programming exercise, we also provide specific illustrations of different visualization designs.

Návaznosti

MUNI/A/1573/2020, interní kód MU

Název: Aplikovaný výzkum: vyhledávání, analýza a vizualizace rozsáhlých dat, zpracování přirozeného jazyka, umělá inteligence pro analýzu biomedicínských obrazů.

Investor: Masarykova univerzita, Aplikovaný výzkum: vyhledávání, analýza a vizualizace rozsáhlých dat, zpracování přirozeného jazyka, umělá inteligence pro analýzu biomedicínských obrazů.

Citovat

EFFENBERGER, Tomáš a Radek PELÁNEK. Visualization of Student-Item Interaction Matrix. Online. In Muhittin Sahin, Dirk Ifenthaler. Visualizations and Dashboards for Learning Analytics. Cham: Springer, 2021, s. 439-456. Advances in Analytics for Learning and Teaching. ISBN 978-3-030-81221-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-81222-5_20.

@inbook{1820093,
   author = {Effenberger, Tomáš and Pelánek, Radek},
   address = {Cham},
   booktitle = {Visualizations and Dashboards for Learning Analytics},
   doi = {http://dx.doi.org/10.1007/978-3-030-81222-5_20},
   editor = {Muhittin Sahin, Dirk Ifenthaler},
   keywords = {exploratory data analysis; learning environment; heat map; dotted chart},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Cham},
   isbn = {978-3-030-81221-8},
   pages = {439-456},
   publisher = {Springer},
   title = {Visualization of Student-Item Interaction Matrix},
   url = {https://link.springer.com/chapter/10.1007/978-3-030-81222-5_20},
   year = {2021}
}

TY  - CHAP
ID  - 1820093
AU  - Effenberger, Tomáš - Pelánek, Radek
PY  - 2021
TI  - Visualization of Student-Item Interaction Matrix
VL  - Advances in Analytics for Learning and Teaching
PB  - Springer
CY  - Cham
SN  - 9783030812218
KW  - exploratory data analysis
KW  - learning environment
KW  - heat map
KW  - dotted chart
UR  - https://link.springer.com/chapter/10.1007/978-3-030-81222-5_20
N2  - One type of visualization of data from digital learning environments focuses on students’ interaction with the educational content. Students may, for example, answer questions, read texts, or solve problems. We can represent these interactions as a matrix, where rows correspond to students, columns to educational items, and values to some aspect of student activity (e.g., the correctness of answers, response times, the order of actions). Visualizing this matrix is useful for several purposes. For teachers, it can provide an understanding of the skill and behavior of their students. For system developers, it can provide insight into the behavior of both students and adaptive algorithms, and it can also help detect suspicious activity. For researchers, it can provide an understanding of the properties of datasets used in experiments and valuable warnings about biases that are present in data. However, suitable visualization of the student-item interactions is nontrivial. To facilitate the design of the visualization, we provide a systematic discussion of approaches to student-item matrix visualization. Using data from an introductory programming exercise, we also provide specific illustrations of different visualization designs.
ER  -

EFFENBERGER, Tomáš a Radek PELÁNEK. Visualization of Student-Item Interaction Matrix. Online. In Muhittin Sahin, Dirk Ifenthaler. \textit{Visualizations and Dashboards for Learning Analytics}. Cham: Springer, 2021, s.~439-456. Advances in Analytics for Learning and Teaching. ISBN~978-3-030-81221-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-81222-5\_{}20.

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