Pith. sign in

REVIEW 65 references

Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2506.16874 v1 pith:EQRT7QP4 submitted 2025-06-20 cs.HC

classification cs.HC
keywords genaielementaryproject-basedstudentsaskartchallengescollaborationcourses
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The integration of Generative Artificial Intelligence (GenAI) in K-6 project-based art courses presents both opportunities and challenges for enhancing creativity, engagement, and group collaboration. This study introduces a four-phase field study, involving in total two experienced K-6 art teachers and 132 students in eight offline course sessions, to investigate the usage and impact of GenAI. Specifically, based on findings in Phases 1 and 2, we developed AskArt, an interactive interface that combines DALL-E and GPT and is tailored to support elementary school students in their art projects, and deployed it in Phases 3 and 4. Our findings revealed the benefits of GenAI in providing background information, inspirations, and personalized guidance. However, challenges in query formulation for generating expected content were also observed. Moreover, students employed varied collaboration strategies, and teachers noted increased engagement alongside concerns regarding misuse and interface suitability. This study offers insights into the effective integration of GenAI in elementary education, presents AskArt as a practical tool, and provides recommendations for educators and researchers to enhance project-based learning with GenAI technologies.

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

65 extracted references · 16 canonical work pages

  1. [1]

    Aoife A Ahern. 2010. A case study: Problem-based learning for civil engineering students in transportation courses.European Journal of Engineering Education35, 1 (2010), 109–116

  2. [2]

    Roudha Saif Al-Khaldi, Doaa Elamin Emam, Yasser M Al Hamidi, Marwan Khraisheh, et al. 2023. Creating Creative Educational Opportunities among Engineering and Arts Students. In2023 ASEE Annual Conference & Exposition

  3. [3]

    Rakesh Belwal, Shweta Belwal, Azlinor Binti Sufian, and Amal Al Badi. 2020. Project-based learning (PBL): outcomes of students’ engagement in an external consultancy project in Oman.Education+ Training63, 3 (2020), 336–359

  4. [4]

    Karen E Bledsoe and Lawrence Flick. 2012. Concept development and meaningful learning among electrical engineering students engaged in a problem-based laboratory experience.Journal of Science Education and Technology21 (2012), 226–245

  5. [5]

    Christy K Boscardin, Brian Gin, Polo Black Golde, and Karen E Hauer. 2024. ChatGPT and generative artificial intelligence for medical education: potential impact and opportunity.Academic Medicine99, 1 (2024), 22–27

  6. [6]

    Penuel, Jason G

    Thomas Breideband, Jeffrey Bush, Chelsea Chandler, Michael Chang, Rachel Dickler, Peter Foltz, Ananya Ganesh, Rachel Lieber, William R. Penuel, Jason G. Reitman, John Weatherley, and Sidney D’Mello. 2023. The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills. InCompanion Publication of the 2023 Conferen...

  7. [7]

    Bodong Chen, Xinran Zhu, et al. 2023. Integrating generative AI in knowledge building.Computers and Education: Artificial Intelligence5 (2023), 100184

  8. [8]

    Juebei Chen, Anette Kolmos, and Xiangyun Du. 2021. Forms of implementation and challenges of PBL in engineering education: a review of literature.European Journal of Engineering Education46, 1 (2021), 90–115

Show all 65 references
  1. [9]

    Liuqing Chen, Shuhong Xiao, Yunnong Chen, Yaxuan Song, Ruoyu Wu, and Lingyun Sun. 2024. ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12. InProceedings of the CHI Conference on Human Factors in Computing Systems. 1–19

  2. [10]

    Chin-Ling Chiang and Huei Lee. 2016. The effect of project-based learning on learning motivation and problem-solving ability of vocational high school students.International Journal of Information and Education Technology6, 9 (2016), 709–712

  3. [11]

    Giulia Di Fede, Davide Rocchesso, Steven P Dow, and Salvatore Andolina. 2022. The idea machine: LLM-based expansion, rewriting, combination, and suggestion of ideas. InProceedings of the 14th Conference on Creativity and Cognition. 623–627

  4. [12]

    Yogesh K Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Edwards, Aled Eirug, et al. 2021. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for re...

  5. [13]

    Pierre Erbacher, Ludovic Denoyer, and Laure Soulier. 2022. Interactive query clarification and refinement via user simulation. InProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2420–2425

  6. [14]

    Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al. 2024. Scaling rectified flow transformers for high-resolution image synthesis. InForty-first International Conference on Mac...

  7. [15]

    Vivian L Gadsden. 2008. The arts and education: Knowledge generation, pedagogy, and the discourse of learning.Review of research in education32, 1 (2008), 29–61

  8. [16]

    Susanne Garvis, Danielle Twigg, and Donna Pendergast. 2011. Breaking the negative cycle: The formation of self-efficacy beliefs in the arts. A focus on professional experience in pre-service teacher education.Australasian Journal of Early Childhood36, 2 (2011), 36–41

  9. [17]

    Arnab Ghosh, Richard Zhang, Puneet K Dokania, Oliver Wang, Alexei A Efros, Philip HS Torr, and Eli Shechtman. 2019. Interactive sketch & fill: Multiclass sketch-to-image translation. InProceedings of the IEEE/CVF International Conference on Computer Vision. 1171–1180

  10. [18]

    Michail Giannakos, Roger Azevedo, Peter Brusilovsky, Mutlu Cukurova, Yannis Dimitriadis, Davinia Hernandez-Leo, Sanna Järvelä, Manolis Mavrikis, and Bart Rienties. 2024. The promise and challenges of generative AI in education.Behaviour & Information Technology(2024), 1–27

  11. [19]

    Yuanning Han, Ziyi Qiu, Jiale Cheng, and Ray Lc. 2024. When teams embrace AI: human collaboration strategies in generative prompting in a creative design task. InProceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1–14

  12. [20]

    Ahmad Dasuki Mohd Hawari and Azlin Iryani Mohd Noor. 2019. Challenges In The Teaching Of Art Common Practices To Enhance Students’ Soft Skills Via Project-Based Learning. In8th UPI-UPSI International Conference 2018 (UPI-UPSI 2018). Atlantis Press, 26–31

  13. [21]

    Ahmad Dasuki Mohd Hawari and Azlin Iryani Mohd Noor. 2020. Project based learning pedagogical design in STEAM art education.Asian Journal of University Education16, 3 (2020), 102–111

  14. [22]

    Peiling Jiang, Jude Rayan, Steven P Dow, and Haijun Xia. 2023. Graphologue: Exploring large language model responses with interactive diagrams. InProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. 1–20

  15. [23]

    David R Johnson, Linda Renzulli, Jackson Bunch, and Maria Paino. 2013. Everyday observations: Developing a sociological perspective through a portfolio term project.Teaching Sociology41, 3 (2013), 314–321

  16. [24]

    Kostas Karpouzis, Dimitris Pantazatos, Joanna Taouki, and Kalliopi Meli. 2024. Tailoring Education with GenAI: A New Horizon in Lesson Planning. arXiv preprint arXiv:2403.12071(2024)

  17. [25]

    Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang, Austin Zachary Henley, Paul Denny, Michelle Craig, and Tovi Grossman. 2024. Codeaid: Evaluating a classroom deployment of an llm-based programming assistant that balances student and educator needs. InProceedings of the CHI Confe...

  18. [26]

    Jingoog Kim and Mary Lou Maher. 2023. The effect of AI-based inspiration on human design ideation.International Journal of Design Creativity and Innovation11, 2 (2023), 81–98

  19. [27]

    Dimitra Kokotsaki, Victoria Menzies, and Andy Wiggins. 2016. Project-based learning: A review of the literature.Improving schools19, 3 (2016), 267–277

  20. [28]

    Irene Lee, Safinah Ali, Helen Zhang, Daniella DiPaola, and Cynthia Breazeal. 2021. Developing middle school students’ AI literacy. InProceedings of the 52nd ACM technical symposium on computer science education. 191–197

  21. [30]

    Pei-Ying Lin, Kristina Andersen, Ralf Schmidt, Sanne Schoenmakers, Hèrm Hofmeyer, Pieter Pauwels, and Wijnand IJsselsteijn. 2024. Text-to-Image AI as a Catalyst for Semantic Convergence in Creative Collaborations. InProceedings of the 2024 ACM Designing Interactive Systems Con...

  22. [31]

    Shih-Yun Lu, Chih-Cheng Lo, and Jia-Yu Syu. 2022. Project-based learning oriented STEAM: The case of micro–bit paper-cutting lamp.International Journal of Technology and Design Education32, 5 (2022), 2553–2575

  23. [32]

    Galyna Lutsenko. 2018. Case study of a problem-based learning course of project management for senior engineering students.European Journal of Engineering Education43, 6 (2018), 895–910

  24. [33]

    Milan Maros, Marcela Korenkova, Milan Fila, Michal Levicky, and Maria Schoberova. 2023. Project-based learning and its effectiveness: evidence from Slovakia.Interactive Learning Environments31, 7 (2023), 4147–4155

  25. [34]

    Siva Mathiyazhagan and Karolina La Fors. 2023. Children’s right to participation in AI: Exploring transnational co-creative approaches to foster child-inclusive AI policy and practice.Information Polity28, 1 (2023), 141–153

  26. [35]

    Michael B McCullough, Michael D Martin, and Mollika A Sajady. 2018. Implementing green walls in schools.Frontiers in psychology9 (2018), 357834

  27. [36]

    Guien Miao, Iresha Ranaraja, Sarah Grundy, Nick Brown, Marina Belkina, and Tom Goldfinch. 2024. Project-based learning in Australian & New Zealand universities: current practice and challenges.Australasian Journal of Engineering Education(2024), 1–13

  28. [37]

    I want it to talk like Darth Vader

    Michele Newman, Kaiwen Sun, Ilena B Dalla Gasperina, Grace Y. Shin, Matthew Kyle Pedraja, Ritesh Kanchi, Maia B. Song, Rannie Li, Jin Ha Lee, and Jason Yip. 2024. "I want it to talk like Darth Vader": Helping Children Construct Creative Self-Efficacy with Generative AI. InProc...

  29. [38]

    Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, Stephen MacNeil, and Steven P Dow. 2021. CoNotate: Suggesting queries based on notes promotes knowledge discovery. InProceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–14

  30. [39]

    Zachary A Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K Sheel, and Ethan Zhang. 2023. Oatutor: An open-source adaptive tutoring system and curated content library for learning sciences research. InProceedings of the 2023 chi conference on human factors in computing sy...

  31. [40]

    Victoria Pavlou and Aurelio Castro-Varela. 2024. E-Learning Canvases: Navigating the Confluence of Online Arts Education and Sustainable Pedagogies in Teacher Education.Sustainability16, 5 (2024), 1741

  32. [41]

    Xiaohan Peng, Janin Koch, and Wendy E Mackay. 2024. Designprompt: Using multimodal interaction for design exploration with generative ai. In Proceedings of the 2024 ACM Designing Interactive Systems Conference. 804–818

  33. [42]

    Loginova Polina, Klakova Vlada, Erik Bohemia, Tatiana Semichevskaya, Anna Solovyova, et al. 2022. Student experience of online international design studio participation. InDS 117: Proceedings of the 24th International Conference on Engineering and Product Design Education (E&P...

  34. [43]

    Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. InInternational conference on machine learning. Pmlr, 8821–8831

  35. [44]

    Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, and Yi-Zhe Song. 2021. Stylemeup: Towards style-agnostic sketch-based image retrieval. InProceedings of the IEEE/CVF conference on computer vision and pattern recognition. 8504–8513

  36. [45]

    Mariela Samaniego, Nancy Usca, José Salguero, and William Quevedo. 2024. Creative Thinking in Art and Design Education: A Systematic Review. Education Sciences14, 2 (2024), 192

  37. [46]

    Orit Shaer, Angelora Cooper, Osnat Mokryn, Andrew L Kun, and Hagit Ben Shoshan. 2024. AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation. InProceedings of the CHI Conference on Human Factors in Computing Systems. 1–17

  38. [47]

    Mike Sharples. 2023. Towards social generative AI for education: theory, practices and ethics.Learning: Research and Practice9, 2 (2023), 159–167

  39. [48]

    Kihoon Son, DaEun Choi, Tae Soo Kim, Young-Ho Kim, and Juho Kim. 2024. Genquery: Supporting expressive visual search with generative models. InProceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1–19

  40. [49]

    Yuqian Sun, Ying Xu, Chenhang Cheng, Yihua Li, Chang Hee Lee, and Ali Asadipour. 2023. Explore the Future Earth with Wander 2.0: AI Chatbot Driven By Knowledge-base Story Generation and Text-to-image Model. InExtended Abstracts of the 2023 CHI Conference on Human Factors in Co...

  41. [50]

    Jianqing Tang and Guoxia Zou. 2023. Taking the Software Technology Specialty as an Example to Construct the Professional Knowledge List with Project-Based Learning Method.Open Journal of Social Sciences11, 12 (2023), 27–34

  42. [51]

    Jakob Tholander and Martin Jonsson. 2023. Design ideation with AI-sketching, thinking and talking with generative machine learning models. In Proceedings of the 2023 ACM designing interactive systems conference. 1930–1940

  43. [52]

    U Usmeldi. 2019. The Effect of Project-based Learning and Creativity on the Students’ Competence at Vocational High Schools, 299, 14–17

  44. [53]

    Maarten Van Mechelen, Rachel Charlotte Smith, Marie-Monique Schaper, Mariana Tamashiro, Karl-Emil Bilstrup, Mille Lunding, Marianne Graves Petersen, and Ole Sejer Iversen. 2023. Emerging technologies in K–12 education: A future HCI research agenda.ACM Transactions on Computer-...

  45. [54]

    Maarten Van Mechelen, Rachel Charlotte Smith, Marie-Monique Schaper, Mariana Tamashiro, Karl-Emil Bilstrup, Mille Lunding, Marianne Graves Petersen, and Ole Sejer Iversen. 2023. Emerging Technologies in K–12 Education: A Future HCI Research Agenda.ACM Trans. Comput.-Hum. Inter...

  46. [55]

    Mathias Peter Verheijden and Mathias Funk. 2023. Collaborative Diffusion: Boosting Designerly Co-Creation with Generative AI. InExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems(Hamburg, Germany)(CHI EA ’23). Association for Computing Machiner...

  47. [56]

    Brett R Wildermoth, David D Rowlands, et al. 2012. Project based learning in embedded systems: A case study. InProceedings of the 2012 AAEE Conference. Melbourne, Victoria, Australia. Citeseer

  48. [57]

    Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022. Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. InProceedings of the 2022 CHI conference on human factors in computing systems. 1–22

  49. [58]

    Ceisy N Wuntu, Yolanda Singal, and Olga A Rorintulus. 2022. The Implementation of Project Based Learning (PBL) in Improving Students’ Speaking Skill at SMA Yadika Kopandakan II.International Journal of English and Applied Linguistics (IJEAL)2, 3 (2022), 387–398

  50. [59]

    Xiaotong Xu, Jiayu Yin, Catherine Gu, Jenny Mar, Sydney Zhang, Jane L E, and Steven P Dow. 2024. Jamplate: Exploring LLM-Enhanced Templates for Idea Reflection. InProceedings of the 29th International Conference on Intelligent User Interfaces. 907–921

  51. [60]

    Yilin Ye, Qian Zhu, Shishi Xiao, Kang Zhang, and Wei Zeng. 2024. The contemporary art of image search: Iterative user intent expansion via vision-language model.Proceedings of the ACM on Human-Computer Interaction8, CSCW1 (2024), 1–31

  52. [61]

    Michael JQ Zhang and Eunsol Choi. 2023. Clarify when necessary: Resolving ambiguity through interaction with lms.arXiv preprint arXiv:2311.09469 (2023)

  53. [62]

    Xiaohong Zhang and Kenichi Kubota. 2023. Cultivating Students’ Creative Thinking Using Visual Narrative in an Agile Blended Learning Environment. InInternational Conference on Blended Learning. Springer, 163–173. Manuscript submitted to ACM Exploring the Usage of Generative AI...

  54. [63]

    Chengbo Zheng, Kangyu Yuan, Bingcan Guo, Reza Hadi Mogavi, Zhenhui Peng, Shuai Ma, and Xiaojuan Ma. 2024. Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students. InProceedings of the CHI Conference on Human Factors in Computing Systems. 1–19

  55. [64]

    Xiaofei Zhou, Jessica Van Brummelen, and Phoebe Lin. 2020. Designing AI learning experiences for K-12: emerging works, future opportunities and a design framework.arXiv preprint arXiv:2009.10228(2020)

  56. [65]

    Qingxiaoyang Zhu and Hao-Chuan Wang. 2023. Leveraging Large Language Model as Support for Human Problem Solving: An Exploration of Its Appropriation and Impact. InCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing (Minneapo...

  57. [66]

    Yan Zhuge and Julie E Mills. 2009. Teaching finite element modelling at the undergraduate level: a PBL approach. InProceedings of the 20th Annual Conference of the Australasian Association for Engineering Education (AAEE 2009). Manuscript submitted to ACM

Pith tools