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Interactive Pedagogical Agents for Learning Sequence Diagrams

conference contribution
posted on 2024-11-03, 13:46 authored by Sohail Alhazmi, Charles ThevathayanCharles Thevathayan, Margaret HamiltonMargaret Hamilton
Students struggle to learn sequence diagrams (SDs), as the designs must meet the requirements without violating the constraints imposed by other UML diagrams. Providing manual timely feedback, though effective, cannot scale for large classes. Our pedagogical agent combining data dependencies and quality metrics with rule-based techniques capturing consistency constraints allowed generation of immediate and holistic feedback. The scaffolding approach helped to lower the cognitive overload. The pre- and post-tests and survey results revealed substantially improved learning outcomes and student satisfaction.

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Related Materials

  1. 1.
    DOI - Is published in 10.1007/978-3-030-52240-7_2
  2. 2.
    ISBN - Is published in 9783030522391 (urn:isbn:9783030522391)

Volume

12164 LNAI

Start page

10

End page

14

Total pages

5

Outlet

Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED 2020)

Editors

Ig Ibert Bittencourt, Mutlu Cukurova, Kasia Muldner, Rose Luckin, Eva Millán

Name of conference

AIED 2020: Lecture Notes in Computer Science

Publisher

Springer

Place published

Switzerland

Start date

2020-07-06

End date

2020-07-10

Language

English

Copyright

© 2020 Springer Nature Switzerland AG.

Former Identifier

2006106331

Esploro creation date

2022-11-02

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