Nuanced growth patterns of students with disability

Sadia Nawaz; Toshiko Kamei; Namrata Srivastava

doi:10.1007/978-3-031-36336-8_95

Nuanced growth patterns of students with disability

Sadia Nawaz
, Toshiko Kamei
, Namrata Srivastava

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Effective educational planning requires an accurate understanding of student growth. Few researchers have examined the growth trajectories of students’ complex competencies, particularly of students with disability (SWD). Our study aims to fill this knowledge gap by analyzing individualized growth of SWD in such skills. We used Markov chain modeling on progress data from 7760 SWD. It was found that students who start out low have more difficulty progressing and that growth patterns vary among SWD and students with autism spectrum disorder (ASD). Students’ individualized patterns of growth may provide nuanced expectations of growth rather than setting lower expectations based on a pre-defined group to which a student belongs. Such work can promote inclusion to provide all students with equitable access to learning.

Original language	English
Title of host publication	Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings
Subtitle of host publication	24th International Conference, AIED 2023, Proceedings
Editors	Ning Wang, Genaro Rebolledo-Mendez, Vania Dimitrova, Noboru Matsuda, Olga C. Santos
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	612-618
Number of pages	7
ISBN (Electronic)	9783031363368
ISBN (Print)	9783031363351
DOIs	https://doi.org/10.1007/978-3-031-36336-8_95
Publication status	Published - 2023
Event	International Conference on Artificial Intelligence in Education 2023 - Tokyo, Japan Duration: 3 Jul 2023 → 7 Jul 2023 Conference number: 24th https://link.springer.com/book/10.1007/978-3-031-36336-8 (Proceedings) https://www.aied2023.org/ (Website)

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	1831
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Conference on Artificial Intelligence in Education 2023
Abbreviated title	AIED 2023
Country/Territory	Japan
City	Tokyo
Period	3/07/23 → 7/07/23
Internet address	https://link.springer.com/book/10.1007/978-3-031-36336-8 (Proceedings) https://www.aied2023.org/ (Website)

Keywords

21 century skills
Disability
Learning progressions
Markov chain

Access to Document

10.1007/978-3-031-36336-8_95

Cite this

Nawaz, S., Kamei, T., & Srivastava, N. (2023). Nuanced growth patterns of students with disability. In N. Wang, G. Rebolledo-Mendez, V. Dimitrova, N. Matsuda, & O. C. Santos (Eds.), Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings: 24th International Conference, AIED 2023, Proceedings (pp. 612-618). (Communications in Computer and Information Science; Vol. 1831). Springer. https://doi.org/10.1007/978-3-031-36336-8_95

Nawaz, Sadia ; Kamei, Toshiko ; Srivastava, Namrata. / Nuanced growth patterns of students with disability. Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings: 24th International Conference, AIED 2023, Proceedings. editor / Ning Wang ; Genaro Rebolledo-Mendez ; Vania Dimitrova ; Noboru Matsuda ; Olga C. Santos. Cham Switzerland : Springer, 2023. pp. 612-618 (Communications in Computer and Information Science).

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title = "Nuanced growth patterns of students with disability",

abstract = "Effective educational planning requires an accurate understanding of student growth. Few researchers have examined the growth trajectories of students{\textquoteright} complex competencies, particularly of students with disability (SWD). Our study aims to fill this knowledge gap by analyzing individualized growth of SWD in such skills. We used Markov chain modeling on progress data from 7760 SWD. It was found that students who start out low have more difficulty progressing and that growth patterns vary among SWD and students with autism spectrum disorder (ASD). Students{\textquoteright} individualized patterns of growth may provide nuanced expectations of growth rather than setting lower expectations based on a pre-defined group to which a student belongs. Such work can promote inclusion to provide all students with equitable access to learning.",

keywords = "21 century skills, Disability, Learning progressions, Markov chain",

author = "Sadia Nawaz and Toshiko Kamei and Namrata Srivastava",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Artificial Intelligence in Education 2023, AIED 2023 ; Conference date: 03-07-2023 Through 07-07-2023",

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booktitle = "Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings",

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Nawaz, S, Kamei, T & Srivastava, N 2023, Nuanced growth patterns of students with disability. in N Wang, G Rebolledo-Mendez, V Dimitrova, N Matsuda & OC Santos (eds), Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings: 24th International Conference, AIED 2023, Proceedings. Communications in Computer and Information Science, vol. 1831, Springer, Cham Switzerland, pp. 612-618, International Conference on Artificial Intelligence in Education 2023, Tokyo, Japan, 3/07/23. https://doi.org/10.1007/978-3-031-36336-8_95

Nuanced growth patterns of students with disability. / Nawaz, Sadia; Kamei, Toshiko; Srivastava, Namrata.
Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings: 24th International Conference, AIED 2023, Proceedings. ed. / Ning Wang; Genaro Rebolledo-Mendez; Vania Dimitrova; Noboru Matsuda; Olga C. Santos. Cham Switzerland: Springer, 2023. p. 612-618 (Communications in Computer and Information Science; Vol. 1831).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Nuanced growth patterns of students with disability

AU - Nawaz, Sadia

AU - Kamei, Toshiko

AU - Srivastava, Namrata

N1 - Conference code: 24th

PY - 2023

Y1 - 2023

N2 - Effective educational planning requires an accurate understanding of student growth. Few researchers have examined the growth trajectories of students’ complex competencies, particularly of students with disability (SWD). Our study aims to fill this knowledge gap by analyzing individualized growth of SWD in such skills. We used Markov chain modeling on progress data from 7760 SWD. It was found that students who start out low have more difficulty progressing and that growth patterns vary among SWD and students with autism spectrum disorder (ASD). Students’ individualized patterns of growth may provide nuanced expectations of growth rather than setting lower expectations based on a pre-defined group to which a student belongs. Such work can promote inclusion to provide all students with equitable access to learning.

AB - Effective educational planning requires an accurate understanding of student growth. Few researchers have examined the growth trajectories of students’ complex competencies, particularly of students with disability (SWD). Our study aims to fill this knowledge gap by analyzing individualized growth of SWD in such skills. We used Markov chain modeling on progress data from 7760 SWD. It was found that students who start out low have more difficulty progressing and that growth patterns vary among SWD and students with autism spectrum disorder (ASD). Students’ individualized patterns of growth may provide nuanced expectations of growth rather than setting lower expectations based on a pre-defined group to which a student belongs. Such work can promote inclusion to provide all students with equitable access to learning.

KW - 21 century skills

KW - Disability

KW - Learning progressions

KW - Markov chain

UR - https://www.scopus.com/pages/publications/85164974447

U2 - 10.1007/978-3-031-36336-8_95

DO - 10.1007/978-3-031-36336-8_95

M3 - Conference Paper

AN - SCOPUS:85164974447

SN - 9783031363351

T3 - Communications in Computer and Information Science

SP - 612

EP - 618

BT - Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings

A2 - Wang, Ning

A2 - Rebolledo-Mendez, Genaro

A2 - Dimitrova, Vania

A2 - Matsuda, Noboru

A2 - Santos, Olga C.

PB - Springer

CY - Cham Switzerland

T2 - International Conference on Artificial Intelligence in Education 2023

Y2 - 3 July 2023 through 7 July 2023

ER -

Nawaz S, Kamei T, Srivastava N. Nuanced growth patterns of students with disability. In Wang N, Rebolledo-Mendez G, Dimitrova V, Matsuda N, Santos OC, editors, Artificial Intelligence in Education, Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings: 24th International Conference, AIED 2023, Proceedings. Cham Switzerland: Springer. 2023. p. 612-618. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-36336-8_95

Nuanced growth patterns of students with disability

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Keywords

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