Teaching constraint programming using fable-based learning

Mavis Chan, Cecilia Chun, Holly Fung, Jimmy H.M. Lee, Peter J. Stuckey

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Abstract

The paper presents the pedagogical innovations and experience of the co-development of three MOOCs on the subject of "Modeling and Solving Discrete Optimization Problems"by two universities. In a nutshell, the MOOCs feature the Fable- Based Learning approach, which is a form of problem-based learning encapsulated in a coherent story plot. Each lecture video begins with an animation that tells a story following a novel. The protagonists of the story encounter a problem requiring technical assistance from the two professors from modern time via a magical tablet granted to them by a fairy god. The new pedagogy aims at increasing learners' motivation and interests as well as situating the learners in a coherent learning context. In addition to scriptwriting, animation production and situating the teaching materials in the story plot, another challenge of the project is the remote distance between the two institutions as well as the need to produce all teaching materials in both (Mandarin) Chinese and English to cater for different geographic learning needs. The MOOCs have been running recurrently on Coursera since 2017. We present learner statistics and feedback, and discuss our experience with and preliminary observations of adopting the online materials in a Flipped Classroom setting.

Original languageEnglish
Title of host publicationThe Tenth Symposium on Educational Advances in Artificial Intelligence
EditorsNate Derbinsky, Lisa Torrey
Place of PublicationPalo Alto CA USA
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
Pages13423-13430
Number of pages8
ISBN (Electronic)9781577358350, 9781713827405
DOIs
Publication statusPublished - 2020
EventSymposium on Educational Advances in Artificial Intelligence 2020 - New York, United States of America
Duration: 8 Feb 20209 Feb 2020
Conference number: 10th
https://aaai.org/Conferences/AAAI-20/eaai-20-call/ (Website)
https://ojs.aaai.org/index.php/AAAI/issue/view/257 (Proceedings)

Publication series

NameAAAI 2020 - 34th AAAI Conference on Artificial Intelligence
PublisherAssociation for the Advancement of Artificial Intelligence
Number9
Volume34
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468

Conference

ConferenceSymposium on Educational Advances in Artificial Intelligence 2020
Abbreviated titleEAAI-20
Country/TerritoryUnited States of America
CityNew York
Period8/02/209/02/20
Internet address

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