Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping

Lu Etta Mae Lawrence; Boyuan Guo; Kexin Yang; Vanessa Echeverria; Zimmy Kang; Vikrant Bathala; Christina Li; William Huang; Vincent Aleven; Nikol Rummel

Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping

Lu Etta Mae Lawrence, Boyuan Guo, Kexin Yang, Vanessa Echeverria, Zimmy Kang, Vikrant Bathala, Christina Li, William Huang, Vincent Aleven, Nikol Rummel

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

1 Citation (Scopus)

Abstract

Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on students' needs. There are, however, challenges in orchestrating these transitions in real-time while managing a classroom of students. AI-based orchestration tools have the potential to alleviate some of the orchestration load for teachers. In this study, we describe a sequence of three design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions. We leverage design narratives and conjecture mapping for the design of our novel orchestration tool. Our contributions include the orchestration tool itself; a description of how novel tool features were revised throughout the sessions with teachers, including shared control between teachers, students, and AI and the use of AI to support dynamic transitions, and a reflection of the changes to our design and theoretical conjectures.

Original language	English
Title of host publication	CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022
Editors	Armin Weinberger, Wenli Chen, Davinia Hernandez-Leo, Bodong Chen
Place of Publication	Bloomington IN USA
Publisher	International Society of the Learning Sciences
Pages	139-146
Number of pages	8
ISBN (Electronic)	9781737330646
Publication status	Published - 2022
Externally published	Yes
Event	Computer-Supported Collaborative Learning 2022 - Online, Japan Duration: 6 Jun 2022 → 10 Jun 2022 Conference number: 15th https://2022.isls.org/programs/cscl/ (Website) https://2022.isls.org/proceedings/ (Proceedings)

Publication series

Name	Computer-Supported Collaborative Learning Conference, CSCL
Publisher	International Society of the Learning Sciences (ISLS)
Volume	2022-June
ISSN (Print)	1573-4552

Conference

Conference	Computer-Supported Collaborative Learning 2022
Abbreviated title	CSCL 2022
Country/Territory	Japan
Period	6/06/22 → 10/06/22
Internet address	https://2022.isls.org/programs/cscl/ (Website) https://2022.isls.org/proceedings/ (Proceedings)

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Lawrence, L. E. M., Guo, B., Yang, K., Echeverria, V., Kang, Z., Bathala, V., Li, C., Huang, W., Aleven, V., & Rummel, N. (2022). Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping. In A. Weinberger, W. Chen, D. Hernandez-Leo, & B. Chen (Eds.), CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022 (pp. 139-146). (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2022-June). International Society of the Learning Sciences.

Lawrence, Lu Etta Mae ; Guo, Boyuan ; Yang, Kexin et al. / Co-designing AI-based orchestration tools to support dynamic transitions : Design narratives through conjecture mapping. CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022. editor / Armin Weinberger ; Wenli Chen ; Davinia Hernandez-Leo ; Bodong Chen. Bloomington IN USA : International Society of the Learning Sciences, 2022. pp. 139-146 (Computer-Supported Collaborative Learning Conference, CSCL).

@inproceedings{3124848a92c943fdbe75626ef40d0b92,

title = "Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping",

abstract = "Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on students' needs. There are, however, challenges in orchestrating these transitions in real-time while managing a classroom of students. AI-based orchestration tools have the potential to alleviate some of the orchestration load for teachers. In this study, we describe a sequence of three design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions. We leverage design narratives and conjecture mapping for the design of our novel orchestration tool. Our contributions include the orchestration tool itself; a description of how novel tool features were revised throughout the sessions with teachers, including shared control between teachers, students, and AI and the use of AI to support dynamic transitions, and a reflection of the changes to our design and theoretical conjectures.",

author = "Lawrence, {Lu Etta Mae} and Boyuan Guo and Kexin Yang and Vanessa Echeverria and Zimmy Kang and Vikrant Bathala and Christina Li and William Huang and Vincent Aleven and Nikol Rummel",

note = "Funding Information: This work was funded by the National Science Foundation (NSF) grant number 1822861. We also thank the teacher partners who worked with us throughout this project. Publisher Copyright: {\textcopyright} ISLS.; Computer-Supported Collaborative Learning 2022, CSCL 2022 ; Conference date: 06-06-2022 Through 10-06-2022",

year = "2022",

language = "English",

series = "Computer-Supported Collaborative Learning Conference, CSCL",

publisher = "International Society of the Learning Sciences",

pages = "139--146",

editor = "Armin Weinberger and Wenli Chen and Davinia Hernandez-Leo and Bodong Chen",

booktitle = "CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022",

url = "https://2022.isls.org/programs/cscl/, https://2022.isls.org/proceedings/",

}

Lawrence, LEM, Guo, B, Yang, K, Echeverria, V, Kang, Z, Bathala, V, Li, C, Huang, W, Aleven, V & Rummel, N 2022, Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping. in A Weinberger, W Chen, D Hernandez-Leo & B Chen (eds), CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022. Computer-Supported Collaborative Learning Conference, CSCL, vol. 2022-June, International Society of the Learning Sciences, Bloomington IN USA, pp. 139-146, Computer-Supported Collaborative Learning 2022, Japan, 6/06/22.

Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping. / Lawrence, Lu Etta Mae; Guo, Boyuan; Yang, Kexin et al.
CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022. ed. / Armin Weinberger; Wenli Chen; Davinia Hernandez-Leo; Bodong Chen. Bloomington IN USA: International Society of the Learning Sciences, 2022. p. 139-146 (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2022-June).

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

TY - GEN

T1 - Co-designing AI-based orchestration tools to support dynamic transitions

T2 - Computer-Supported Collaborative Learning 2022

AU - Lawrence, Lu Etta Mae

AU - Guo, Boyuan

AU - Yang, Kexin

AU - Echeverria, Vanessa

AU - Kang, Zimmy

AU - Bathala, Vikrant

AU - Li, Christina

AU - Huang, William

AU - Aleven, Vincent

AU - Rummel, Nikol

N1 - Conference code: 15th

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N2 - Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on students' needs. There are, however, challenges in orchestrating these transitions in real-time while managing a classroom of students. AI-based orchestration tools have the potential to alleviate some of the orchestration load for teachers. In this study, we describe a sequence of three design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions. We leverage design narratives and conjecture mapping for the design of our novel orchestration tool. Our contributions include the orchestration tool itself; a description of how novel tool features were revised throughout the sessions with teachers, including shared control between teachers, students, and AI and the use of AI to support dynamic transitions, and a reflection of the changes to our design and theoretical conjectures.

AB - Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on students' needs. There are, however, challenges in orchestrating these transitions in real-time while managing a classroom of students. AI-based orchestration tools have the potential to alleviate some of the orchestration load for teachers. In this study, we describe a sequence of three design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions. We leverage design narratives and conjecture mapping for the design of our novel orchestration tool. Our contributions include the orchestration tool itself; a description of how novel tool features were revised throughout the sessions with teachers, including shared control between teachers, students, and AI and the use of AI to support dynamic transitions, and a reflection of the changes to our design and theoretical conjectures.

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BT - CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022

A2 - Weinberger, Armin

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ER -

Lawrence LEM, Guo B, Yang K, Echeverria V, Kang Z, Bathala V et al. Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping. In Weinberger A, Chen W, Hernandez-Leo D, Chen B, editors, CSCL Proceedings - 15th International Conference on Computer-Supported Collaborative Learning (CSCL) 2022. Bloomington IN USA: International Society of the Learning Sciences. 2022. p. 139-146. (Computer-Supported Collaborative Learning Conference, CSCL).

Co-designing AI-based orchestration tools to support dynamic transitions: Design narratives through conjecture mapping

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