skip to main content
10.1145/3652620.3687773acmconferencesArticle/Chapter ViewAbstractPublication PagesmodelsConference Proceedingsconference-collections
research-article

Designing and Generating Lesson Plans combining Open Educational Content and Generative AI

Published: 31 October 2024 Publication History

Abstract

In this paper, we propose an approach for assisting educators in deriving lesson plans for complex learning subjects like Model-Driven Engineering (MDE) from existing educational materials, leveraging generative AI techniques. Our method focuses on guiding teachers in defining learning objectives and suggesting concrete learning activities for students. Central to our approach is the development of a metamodel that characterizes the methodology and serves as the foundation for implementing supporting tools. By utilizing available Open Educational Resources (OERs) and incorporating them into specific learning activities, our method provides a general framework for supporting educators in designing lesson plans. We present the methodology to generate lesson plans, the metamodel conceptualizing plans ingredients, and demonstrate their application through supporting tools, illustrating the potential of our approach in facilitating the development of MDE teaching materials.

References

[1]
Will Barnett, Steffen Zschaler, Artur Boronat, Antonio Garcia-Dominguez, and Dimitris Kolovos. 2023. An Online Education Platform for Teaching MDE. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 114--121.
[2]
Will Barnett, Steffen Zschaler, Artur Boronat, Antonio García-Domínguez, and Dimitris Kolovos. 2023. An Online Education Platform for Teaching MDE. In ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2023 Companion, Västerås, Sweden, October 1--6, 2023. IEEE, 114--121.
[3]
Dominik Bork, Andreas Fend, Dominik Scheffknecht, Gerti Kappel, and Manuel Wimmer. 2021. From In-Person to Distance Learning: Teaching Model-Driven Software Engineering in Remote Settings. In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 702--711.
[4]
Antonio Bucchiarone, Andrea Vázquez-Ingelmo, Gianluca Schiavo, Simone Barandoni, Alicia García-Holgado, Francisco José García-Peñalvo, Sébastien Mosser, Alfonso Pierantonio, Steffen Zschaler, and William Barnett. 2023. Towards Personalized Learning Paths to Empower Competence Development in Model Driven Engineering Through the ENCORE Platform. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 122--129.
[5]
Antonio Bucchiarone, Andrea Vázquez-Ingelmo, Gianluca Schiavo, Alicia García-Holgado, Francisco José García-Peñalvo, and Steffen Zschaler. 2023. Designing Learning Paths with Open Educational Resources: An Investigation in Model-Driven Engineering. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI). 1--7.
[6]
Federico Ciccozzi, Michalis Famelis, Gerti Kappel, Leen Lambers, Sebastien Mosser, Richard F. Paige, Alfonso Pierantonio, Arend Rensink, Rick Salay, Gabi Taentzer, Antonio Vallecillo, and Manuel Wimmer. 2018. How do we teach modelling and model-driven engineering? a survey. In Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (Copenhagen, Denmark) (MODELS '18). Association for Computing Machinery, New York, NY, USA, 122--129.
[7]
Davide Di Ruscio, Dimitris Kolovos, Juan de Lara, Alfonso Pierantonio, Massimo Tisi, and Manuel Wimmer. 2022. Low-code development and model-driven engineering: Two sides of the same coin? Software and Systems Modeling 21, 2 (Jan. 2022), 437--446.
[8]
Francisco García-Peñalvo and Andrea Vázquez-Ingelmo. 9998. What Do We Mean by GenAI? A Systematic Mapping of The Evolution, Trends, and Techniques Involved in Generative AI. International Journal of Interactive Multimedia and Artificial Intelligence In Press, In Press (07/2023 9998), 1--10.
[9]
Pablo Gómez-Abajo, Esther Guerra, and Juan de Lara. 2023. Automated generation and correction of diagram-based exercises for Moodle. Computer Applications in Engineering Education 31, 6 (Aug. 2023), 1845--1866.
[10]
John Hilton. 2020. Open educational resources, student efficacy, and user perceptions: a synthesis of research published between 2015 and 2018. Educational Technology Research and Development 68, 3 (June 2020), 853--876.
[11]
Jan Hylén. 2020. Open educational resources: Opportunities and challenges. (2020).
[12]
David R. Krathwohl. 2002. A Revision of Bloom's Taxonomy: An Overview. Theory Into Practice 41, 4 (2002), 212--218.
[13]
Vinay Kulkarni, Sreedhar Reddy, Souvik Barat, and Jaya Dutta. 2023. Toward a Symbiotic Approach Leveraging Generative AI for Model Driven Engineering. In 2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS). 184--193.
[14]
Grischa Liebel, Omar Badreddin, and Rogardt Heldal. 2017. Model Driven Software Engineering in Education: A Multi-Case Study on Perception of Tools and UML. In 2017 IEEE 30th Conference on Software Engineering Education and Training (CSEE&T). 124--133.
[15]
Sergio Morales, Elena Planas, Robert Clarisó, and Martin Gogolla. 2023. Generative AI in Model-Driven Software Engineering Education: Friend or Foe?. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 110--113.
[16]
Angela Murphy. 2013. Open educational practices in higher education: institutional adoption and challenges. Distance Education 34, 2 (2013), 201--217. arXiv:https://doi.org/10.1080/01587919.2013.793641
[17]
Daniel Otto. 2019. Adoption and Diffusion of Open Educational Resources (OER) in Education: A Meta-Analysis of 25 OER-Projects. The International Review of Research in Open and Distributed Learning 20, 5 (May 2019), 122--140.
[18]
Junaid Qadir. 2023. Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. In 2023 IEEE Global Engineering Education Conference (EDUCON). 1--9.
[19]
J. Di Rocco, D. Di Ruscio, A. Di Salle, D. Di Vincenzo, A. Pierantonio, and G. Tinella. 2023. jjodel - A Reflective Cloud-Based Modeling Framework. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE Computer Society, Los Alamitos, CA, USA, 55--59.
[20]
Marco Aurélio Graciotto Silva, Ellen Francine Barbosa, and José Carlos Maldonado. 2011. Model-driven development of learning objects. In 2011 Frontiers in Education Conference (FIE). F4E-1-F4E-6.
[21]
Christopher W. Starr, Bill Manaris, and RoxAnn H. Stalvey. 2008. Bloom's taxonomy revisited: specifying assessable learning objectives in computer science. In Proceedings of the 39th SIGCSE Technical Symposium on Computer Science Education (Portland, OR, USA) (SIGCSE '08). Association for Computing Machinery, New York, NY, USA, 261--265.
[22]
Chelsea Leachman Talea Anderson, Annie Gaines and Evan Peter Williamson. 2017. Faculty and Instructor Perceptions of Open Educational Resources in Engineering. The Reference Librarian 58, 4 (2017), 257--277. arXiv:https://doi.org/10.1080/02763877.2017.1355768
[23]
Ahmed Tlili, Jingjing Zhang, Zacharoula Papamitsiou, Sven Manske, Ronghuai Huang, Kinshuk, and H Ulrich Hoppe. 2021. Towards utilising emerging technologies to address the challenges of using Open Educational Resources: a vision of the future. Educational Technology Research and Development 69 (2021), 515--532.
[24]
Edmundo Tovar and Nelson Piedra. 2014. Guest Editorial: Open Educational Resources in Engineering Education: Various Perspectives Opening the Education of Engineers. IEEE Transactions on Education 57, 4 (2014), 213--219.
[25]
UNESCO. 2002. Forum on the impact of open courseware for higher education in developing countries. CI.2002/CONF.803/CLD.1 (2002). https://unesdoc.unesco.org/ark:/48223/pf0000128515
[26]
Stephen Whitfield and Zoe Robinson. 2012. Open Educational Resources: the challenges of `usability' and copyright clearance. Planet 25, 1 (2012), 51--54.
[27]
David Wiley, TJ Bliss, and Mary McEwen. 2014. Open educational resources: A review of the literature. Handbook of research on educational communications and technology (2014), 781--789.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
September 2024
1261 pages
ISBN:9798400706226
DOI:10.1145/3652620
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 October 2024

Check for updates

Author Tags

  1. open educational resources
  2. OERs
  3. model-driven engineering
  4. MDE
  5. generative AI
  6. educational paradigms
  7. tailored learning activities
  8. customizable learning content

Qualifiers

  • Research-article

Funding Sources

Conference

MODELS Companion '24
Sponsor:

Acceptance Rates

Overall Acceptance Rate 144 of 506 submissions, 28%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 130
    Total Downloads
  • Downloads (Last 12 months)130
  • Downloads (Last 6 weeks)28
Reflects downloads up to 18 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media