AI Education Developer Community: A Study on the Evolution of DAOs

Caiyan TANG; Chengzu DONG; Qin WANG; Qi CAI; Shiping CHEN; Yuhui HUO

doi:10.1007/978-981-92-0042-9_35

AI Education Developer Community: A Study on the Evolution of DAOs

Caiyan TANG
, Chengzu DONG
, Qin WANG
, Qi CAI
, Shiping CHEN^*
, Yuhui HUO

^*Corresponding author for this work

School of Data Science

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

We study how decentralized autonomous organizations (DAOs) evolve in an AI education developer community. We propose a four-stage evolution path, a “5D + O” governance principle set, and a 70-20-10 resource structure. We combine case evidence, qualitative interviews, and social network analysis. We show that decentralized screening, transparent voting, and contribution based allocation help early incubation, risk dispersion, and fast coordination. We also highlight the role of community education onboarding, capability building, and norm internalization in sustaining governance at each stage. We discuss limits and future research.

Original language	English
Title of host publication	Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers
Editors	Baltasar FERNÁNDEZ-MANJÓN, António JOSÉ MENDES, Marco TEMPERINI, Zuzana KUBINCOVÁ, Marc SPANIOL, Guangdong XU, ELVIRA POPESCU, Tianyong HAO, Xiangmeng WANG, Shuning HE
Chapter	35
Pages	472-481
Number of pages	10
ISBN (Electronic)	9789819200429
DOIs	https://doi.org/10.1007/978-981-92-0042-9_35
Publication status	Published - 2 Jul 2026

Publication series

Name	Lecture Notes in Computer Science
Volume	16425 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

Keywords

AI Education
Cross-Community Interoperability
DAO
Decentralised Governance
Privacy Protection

Access to Document

10.1007/978-981-92-0042-9_35

https://link.springer.com/10.1007/978-981-92-0042-9_35

Cite this

TANG, C., DONG, C., WANG, Q., CAI, Q., CHEN, S., & HUO, Y. (2026). AI Education Developer Community: A Study on the Evolution of DAOs. In B. FERNÁNDEZ-MANJÓN, A. JOSÉ MENDES, M. TEMPERINI, Z. KUBINCOVÁ, M. SPANIOL, G. XU, ELVIRA. POPESCU, T. HAO, X. WANG, & S. HE (Eds.), Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers (pp. 472-481). (Lecture Notes in Computer Science; Vol. 16425 LNCS). https://doi.org/10.1007/978-981-92-0042-9_35

TANG, Caiyan ; DONG, Chengzu ; WANG, Qin et al. / AI Education Developer Community: A Study on the Evolution of DAOs. Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers. editor / Baltasar FERNÁNDEZ-MANJÓN ; António JOSÉ MENDES ; Marco TEMPERINI ; Zuzana KUBINCOVÁ ; Marc SPANIOL ; Guangdong XU ; ELVIRA POPESCU ; Tianyong HAO ; Xiangmeng WANG ; Shuning HE. 2026. pp. 472-481 (Lecture Notes in Computer Science).

@inproceedings{d8478fa9c81742f987a771dde09b4064,

title = "AI Education Developer Community: A Study on the Evolution of DAOs",

abstract = "We study how decentralized autonomous organizations (DAOs) evolve in an AI education developer community. We propose a four-stage evolution path, a {\textquotedblleft}5D + O{\textquotedblright} governance principle set, and a 70-20-10 resource structure. We combine case evidence, qualitative interviews, and social network analysis. We show that decentralized screening, transparent voting, and contribution based allocation help early incubation, risk dispersion, and fast coordination. We also highlight the role of community education onboarding, capability building, and norm internalization in sustaining governance at each stage. We discuss limits and future research.",

keywords = "AI Education, Cross-Community Interoperability, DAO, Decentralised Governance, Privacy Protection",

author = "Caiyan TANG and Chengzu DONG and Qin WANG and Qi CAI and Shiping CHEN and Yuhui HUO",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.",

year = "2026",

month = jul,

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doi = "10.1007/978-981-92-0042-9\_35",

language = "English",

isbn = "9789819200412",

series = "Lecture Notes in Computer Science",

pages = "472--481",

editor = "Baltasar FERN{\'A}NDEZ-MANJ{\'O}N and \{JOS{\'E} MENDES\}, Ant{\'o}nio and Marco TEMPERINI and Zuzana KUBINCOV{\'A} and Marc SPANIOL and Guangdong XU and ELVIRA POPESCU and Tianyong HAO and Xiangmeng WANG and Shuning HE",

booktitle = "Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 {\textendash} December 3, 2025, Revised Selected Papers",

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TANG, C, DONG, C, WANG, Q, CAI, Q, CHEN, S & HUO, Y 2026, AI Education Developer Community: A Study on the Evolution of DAOs. in B FERNÁNDEZ-MANJÓN, A JOSÉ MENDES, M TEMPERINI, Z KUBINCOVÁ, M SPANIOL, G XU, ELVIRA POPESCU, T HAO, X WANG & S HE (eds), Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers. Lecture Notes in Computer Science, vol. 16425 LNCS, pp. 472-481. https://doi.org/10.1007/978-981-92-0042-9_35

AI Education Developer Community: A Study on the Evolution of DAOs. / TANG, Caiyan; DONG, Chengzu; WANG, Qin et al.
Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers. ed. / Baltasar FERNÁNDEZ-MANJÓN; António JOSÉ MENDES; Marco TEMPERINI; Zuzana KUBINCOVÁ; Marc SPANIOL; Guangdong XU; ELVIRA POPESCU; Tianyong HAO; Xiangmeng WANG; Shuning HE. 2026. p. 472-481 (Lecture Notes in Computer Science; Vol. 16425 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - AI Education Developer Community: A Study on the Evolution of DAOs

AU - TANG, Caiyan

AU - DONG, Chengzu

AU - WANG, Qin

AU - CAI, Qi

AU - CHEN, Shiping

AU - HUO, Yuhui

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

PY - 2026/7/2

Y1 - 2026/7/2

N2 - We study how decentralized autonomous organizations (DAOs) evolve in an AI education developer community. We propose a four-stage evolution path, a “5D + O” governance principle set, and a 70-20-10 resource structure. We combine case evidence, qualitative interviews, and social network analysis. We show that decentralized screening, transparent voting, and contribution based allocation help early incubation, risk dispersion, and fast coordination. We also highlight the role of community education onboarding, capability building, and norm internalization in sustaining governance at each stage. We discuss limits and future research.

AB - We study how decentralized autonomous organizations (DAOs) evolve in an AI education developer community. We propose a four-stage evolution path, a “5D + O” governance principle set, and a 70-20-10 resource structure. We combine case evidence, qualitative interviews, and social network analysis. We show that decentralized screening, transparent voting, and contribution based allocation help early incubation, risk dispersion, and fast coordination. We also highlight the role of community education onboarding, capability building, and norm internalization in sustaining governance at each stage. We discuss limits and future research.

KW - AI Education

KW - Cross-Community Interoperability

KW - DAO

KW - Decentralised Governance

KW - Privacy Protection

UR - https://www.scopus.com/pages/publications/105041618815

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DO - 10.1007/978-981-92-0042-9_35

M3 - Conference paper (refereed)

SN - 9789819200412

T3 - Lecture Notes in Computer Science

SP - 472

EP - 481

BT - Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers

A2 - FERNÁNDEZ-MANJÓN, Baltasar

A2 - JOSÉ MENDES, António

A2 - TEMPERINI, Marco

A2 - KUBINCOVÁ, Zuzana

A2 - SPANIOL, Marc

A2 - XU, Guangdong

A2 - POPESCU, ELVIRA

A2 - HAO, Tianyong

A2 - WANG, Xiangmeng

A2 - HE, Shuning

ER -

TANG C, DONG C, WANG Q, CAI Q, CHEN S, HUO Y. AI Education Developer Community: A Study on the Evolution of DAOs. In FERNÁNDEZ-MANJÓN B, JOSÉ MENDES A, TEMPERINI M, KUBINCOVÁ Z, SPANIOL M, XU G, POPESCU ELVIRA, HAO T, WANG X, HE S, editors, Learning Technologies and Systems : 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 – December 3, 2025, Revised Selected Papers. 2026. p. 472-481. (Lecture Notes in Computer Science). doi: 10.1007/978-981-92-0042-9_35

AI Education Developer Community: A Study on the Evolution of DAOs

Abstract

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Keywords

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