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A Model-based Learning Pedagogy for Conceptualizing and Solving Real-world Graph Problems

Authors:

Indra R,

Prajish Prasad,

Sridhar IyerAuthors Info & Claims

CompEd 2023: Proceedings of the ACM Conference on Global Computing Education Vol 2

Page 200

https://doi.org/10.1145/3617650.3624943

Published: 05 December 2023 Publication History

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Abstract

Our research is an extension of the modeling theory framework proposed by Hestenes [1]. An exploratory study examined how Computer Science (CS) students use mental and conceptual models to solve real-world problems using graph algorithmic concepts. The study results reveal the profound use of conceptual models in successful students more than in unsuccessful students. The cognitive process in problem-solving depends on the schemata constructed during learning concepts and concept mastery. This poster presents the model-based learning pedagogy to progressively construct correct conceptual models in CS engineering students to solve real-world graph problems.

References

[1]

Hestenes, D. (2006). Notes for a modeling theory of science, cognition and instruction. Proceedings of the 2006 GIREP Conference. Modelling in Physics and Physics Education, 20--25.

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[2]

Seel, N. M. (2003). Model-centered learning and instruction. Technology, Instruction, Cognition and Learning, 1(1), 59--85.

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[3]

Guarino, N., Guizzardi, G., & Mylopoulos, J. (2020). On the philosophical foundations of conceptual models. Information Modelling and Knowledge Bases, 31(321)

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[4]

Bidlake, L., Aubanel, E., & Voyer, D. (2023, June). Investigating the Progression of Programmers' Mental Models. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 639--639).

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[5]

Sorva, J. (2008, November). The same but different students' understandings of primitive and object variables. In Proceedings of the 8th International Conference on Computing Education Research (pp. 5--15).

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Index Terms

A Model-based Learning Pedagogy for Conceptualizing and Solving Real-world Graph Problems
1. Theory of computation

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Published In

CompEd 2023: Proceedings of the ACM Conference on Global Computing Education Vol 2

December 2023

50 pages

ISBN:9798400703744

DOI:10.1145/3617650

General Chairs:
Venkatesh Choppella
IIIT Hyderabad, India
,
Deepak B. Phatak
IIT Bombay, India
,
Program Chairs:
Andrew Luxton-Reilly
University of Auckland, New Zealand
,
Michelle Craig
University of Toronto, Canada

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 05 December 2023

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CompEd 2023: ACM Global Computing Education Conference 2023

December 5 - 9, 2023

Hyderabad, India

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Overall Acceptance Rate 33 of 100 submissions, 33%

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Abstract

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Conceptualising a Model for Meaningful Digital Pedagogy

Relevant real-world undergraduate research problems: lessons from the nsf-reu trenches

Developing Effective Models in Computer Science Undergraduates for Solving Real-world Graph Problems

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