Skip to main content

Analysis of Creative Engagement in AI Tools in Education Based on the #PPai6 Framework

  • Conference paper
  • First Online:
Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference (MIS4TEL 2023)

Abstract

Human creativity is a complex process that can be evaluated in a wide range of domains and tasks. The domain and task-specificity of human creativity challenge the process of designing AI-based tools to support teachers’ and learners’ creative engagement. In this study, we introduce the #PPai6 framework to look at the 21st-century skills that modern education needs to teach, with a focus on creativity and critical thinking. After introducing the #PPai6 framework, we analyze 41 studies using AI in education in order to identify the level of creative engagement they are able to support from primary education to Higher Education. The results show the most usual way of supporting learners’ creative engagement is through intelligent tutoring systems (ITS), which rely on the second level of creative engagement of the #PPai6 framework. In this second level, the AI tool shows adaptive behavior based on the learners’ interactions but does not engage the learners in creating new ideas or solutions. We analyze 13 cases where learners and teachers get help with their own creative processes, but only two cases of collective creativity are supported at the individual level. None of the AI tools in education supports collective creativity among teachers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://teachablemachine.withgoogle.com/

References

  1. Feng, S., Law, N.: Mapping artificial intelligence in education research: a network-based keyword analysis. Int. J. Artif. Intell. Educ. 31(2), 277–303 (2021). https://doi.org/10.1007/s40593-021-00244-4

    Article  Google Scholar 

  2. Isaac, G., Romero, M., Barma, S.: Understanding co-creativity in real-world problem solving in project-based learning in higher education. Rev. Int. CRIRES innover dans la tradition de Vygotsky 6(3), 86–99 (2022). https://doi.org/10.51657/ric.v6i2.51585

  3. Engestrom, Y.: Activity theory as a framework for analyzing and redesigning work. Ergonomics 43(7), 960–974 (2000). https://doi.org/10.1080/001401300409143

    Article  Google Scholar 

  4. Florida, R.L.: The Rise of the Creative Class: and how it’s Transforming Work, Leisure, Community and Everyday Life, Nachdr. Basic Books, New York, NY (2006)

    Google Scholar 

  5. De Bono, E.: Serious Creativity: Using the Power of Lateral Thinking to Create New Ideas. Penguin Random House, New York, NY, USA (2015)

    Google Scholar 

  6. Sternberg, R.J., Frensch, P.A.: Complex Problem Solving: Principles and Mechanisms. Psychology Press (2014)

    Google Scholar 

  7. Romero, M., Lille, B., Patino, A. (eds.): Usages créatifs du numérique pour l’apprentissage au XXIe siècle, vol. 1. Presses de l’Université du Québec, Québec (2017)

    Google Scholar 

  8. Moruzzi, C.: Measuring creativity: an account of natural and artificial creativity. Eur. J. Philos. Sci. 11(1), 1–20 (2020). https://doi.org/10.1007/s13194-020-00313-w

    Article  Google Scholar 

  9. Romero, M.: “Développer la pensée informatique pour démystier l’intelligence artificielle”, 1024 – Bull. Société Inform. Fr. 12, 67–75 (2018)

    Google Scholar 

  10. augMENTOR: Augmented Intelligence for Pedagogically Sustained Training and Education (augMENTOR) (2023). https://cordis.europa.eu/project/id/101061509. Accessed 25 Mar 2023

  11. Chiu, T.K.F.: Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. J. Res. Technol. Educ. 54(sup1), S14–S30 (2022). https://doi.org/10.1080/15391523.2021.1891998

    Article  Google Scholar 

  12. Zapata-Rivera, D.: Open student modeling research and its connections to educational assessment. Int. J. Artif. Intell. Educ. 31(3), 380–396 (2020). https://doi.org/10.1007/s40593-020-00206-2

    Article  Google Scholar 

  13. Romero, M., Laferriere, T., Power, T.M.: The move is on! From the passive multimedia learner to the engaged co-creator. eLearn 2016(3), 1 (2016). https://doi.org/10.1145/2904374.2893358

  14. Tricot, A.: L’innovation pédagogique: Mythes et réalités (2017). http://www.cafepedagogique.net/LEXPRESSO/Pages/2017/09/05092017Article636401937485284884.aspx. 05 Accessed 2019

  15. Romero, M., Barma, S.: Analysing an interactive problem-solving task through the lens of double stimulation. Can. J. Learn. Technol. 48(1) (2022). https://doi.org/10.21432/cjlt28170

  16. Romero, M., et al.: Creative engagement in #AIed: from the passive AI content consumer to expansive learning supported by AI (#PPai6). Creative Uses of Technology (2023). https://margaridaromero.blog/2023/04/28/expansive-learning-supported-by-ai/. Accessed 19 May 2023

  17. Chi, M.T.H., Wylie, R.: The ICAP framework: linking cognitive engagement to active learning outcomes. Educ. Psychol. 49(4), 219–243 (2014). https://doi.org/10.1080/00461520.2014.965823

    Article  Google Scholar 

  18. Lukyanenko, R., Parsons, J.: Extending participatory design principles to structured user-generated content. In: Presented at the Scandinavian Conference on Information Systems, Oulu, Finland (2015)

    Google Scholar 

  19. Zhang, J., Scardamalia, M., Lamon, M., Messina, R., Reeve, R.: Socio-cognitive dynamics of knowledge building in the work of 9-and 10-year-olds. Educ. Technol. Res. Dev. 55(2), 117–145 (2007)

    Article  Google Scholar 

  20. Cucinelli, G., Davidson, A.-L., Romero, M., Matheson, T.: Intergenerational learning through a participatory video game design workshop. J. Intergenerational Relatsh. 16(1–2), 146–165 (2018)

    Article  Google Scholar 

  21. Lajoie, S.P.: Student modeling for individuals and groups: the BioWorld and HOWARD platforms. Int. J. Artif. Intell. Educ. 31(3), 460–475 (2020). https://doi.org/10.1007/s40593-020-00219-x

    Article  Google Scholar 

  22. Wilson, J., Huang, Y., Palermo, C., Beard, G., MacArthur, C.A.: Automated feedback and automated scoring in the elementary grades: usage, attitudes, and associations with writing outcomes in a districtwide implementation of MI write. Int. J. Artif. Intell. Educ. 31(2), 234–276 (2021). https://doi.org/10.1007/s40593-020-00236-w

    Article  Google Scholar 

  23. Lawson, A.P., Mayer, R.E., Adamo-Villani, N., Benes, B., Lei, X., Cheng, J.: Do learners recognize and relate to the emotions displayed by virtual instructors? Int. J. Artif. Intell. Educ. 31(1), 134–153 (2021). https://doi.org/10.1007/s40593-021-00238-2

    Article  Google Scholar 

  24. Käser, T., Schwartz, D.L.: Modeling and analyzing inquiry strategies in open-ended learning environments. Int. J. Artif. Intell. Educ. 30(3), 504–535 (2020). https://doi.org/10.1007/s40593-020-00199-y

    Article  Google Scholar 

  25. Shute, V.J., et al.: The design, development, and testing of learning supports for the physics playground game. Int. J. Artif. Intell. Educ. 31(3), 357–379 (2021). https://doi.org/10.1007/s40593-020-00196-1

    Article  Google Scholar 

  26. Hutchins, N.M., Biswas, G., Zhang, N., Snyder, C., Lédeczi, Á., Maróti, M.: Domain-specific modeling languages in computer-based learning environments: a systematic approach to support science learning through computational modeling. Int. J. Artif. Intell. Educ. 30(4), 537–580 (2020). https://doi.org/10.1007/s40593-020-00209-z

    Article  Google Scholar 

  27. VanLehn, K., Banerjee, C., Milner, F., Wetzel, J.: Teaching algebraic model construction: a tutoring system, lessons learned and an evaluation. Int. J. Artif. Intell. Educ. 30(3), 459–480 (2020). https://doi.org/10.1007/s40593-020-00205-3

    Article  Google Scholar 

  28. Yannier, N., Hudson, S.E., Koedinger, K.R.: Active learning is about more than hands-on: a mixed-reality AI system to support STEM education. Int. J. Artif. Intell. Educ. 30(1), 74–96 (2020). https://doi.org/10.1007/s40593-020-00194-3

    Article  Google Scholar 

  29. Chomsky, N., Roberts, I., Watumull, J.: Noam Chomsky: The False Promise of ChatGPT. The New York Times (2023)

    Google Scholar 

  30. Tsai, Y.-C.: Empowering learner-centered instruction: integrating ChatGPT python API and tinker learning for enhanced creativity and problem-solving skills. In: Huang, Y.-M., Rocha, T. (eds.) Innovative Technologies and Learning: 6th International Conference, ICITL 2023, Porto, Portugal, August 28–30, 2023, Proceedings, pp. 531–541. Springer Nature Switzerland, Cham (2023). https://doi.org/10.1007/978-3-031-40113-8_52

    Chapter  Google Scholar 

Download references

Acknowledgments

This research is developed within the AugMENTOR project, funded by the HORIZON-CL2-2021 TRANSFORMATIONS-01-05 program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Margarida Romero .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Septiani, D.P., Kostakos, P., Romero, M. (2023). Analysis of Creative Engagement in AI Tools in Education Based on the #PPai6 Framework. In: Kubincová, Z., Caruso, F., Kim, Te., Ivanova, M., Lancia, L., Pellegrino, M.A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-031-42134-1_5

Download citation

Publish with us

Policies and ethics